1646 Clustering Jobs - Page 13

Who are we and what do we do? InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies. Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are outcome-driven. We invite you to join our tribe as we dream big and chase your passion. About AI Engineering Director - Enterprise Digital & AI transformation across Inmobi is underway for - unlocking productivity & realizing efficiencies across the business, streamlining critical process flows and integrating cross-system architecture to achieve a lean and agile organizational set up. This involves a strong understanding of the company’s underlying business, system and process challenges, translating them into long term sustainable solutions that are applicable across InMobi’s expanding business units. This team works across a spectrum of enterprise systems and products building end-to-end features and capabilities that help establish a fully integrated blueprint of the company’s data architecture and system landscape. The Enterprise systems span the end-to-end value chain covering Lead generation, Sales & CRM, Order fulfilment, Service, Financial systems, BI Dashboards and NLP based Analytics. Reporting to the Chief Digital Officer , this person will lead a team of engineers and collaborate deeply with Product managers, Designers and other Engineering teams, to build AI solutions grounded in consistent architectures and incorporates ongoing advancements. These AI solutions will help in Sales & Marketing transformation, Finance transformation, Service & Operational processes transformation. Are you interested in shaping the era of AI, especially in an Enterprise context and scale? This role requires curiosity to understand the quickly growing AI landscape, continuous disruptive changes, knowledge in modern coding languages, different platforms (esp GCP/ Azure/ Salesforce), Machine Learning and LLMs. As the Enterprise AI Engineering Leader, you are the face of the Enterprise AI engineering team, representing their work, and unblocking the team when problems arise. You manage a highly skilled team and help in the growth of their careers. You drive action and alignment by cultivating relationships with senior management and partnerships with product management and design leaders. You bring a deep understanding and expertise in digital transformation opportunities across AI, supported by thought leadership in technologies such as Generative AI, Advanced Analytics and App Modernization. What you’ll do: Partner with the Enterprise Product team and all concerned stakeholders to understand business needs and translate them into technical requirements and solutions. Lead the development, deployment, and optimization of AI (GenAI) Solutions, Tools, frameworks in the Enterprise space for core business process areas. In this role, you will work closely with cross-functional teams, bringing technical expertise and hands-on problem-solving to ensure the successful delivery of AI solutions that support our business objectives (in the broad process areas described earlier) Support POCs/ Pilots projects to explore and validate the ever-evolving AI technologies and solutions. Stay updated regarding LLMs, MCP, A2A, ADK, Agentic AI landscape and the fast- changing AI technology & solution landscape - ensuring the innovations drive impact. Participating in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support. Continuously assess and optimize software architecture, focusing on scalability, reliability, and alignment with emerging trends. Document designs, development processes, and best practices to promote knowledge sharing. Mentor and enable career growth for your team. Support upskilling and re-skilling of other Engineering team members + business users. What you are good at Supporting the development/ adoption/ optimization of AI-driven applications to meet organizational needs. Solving technical challenges and developing scalable, innovative solutions. Applying Change Management principles to ensure successful technology rollouts. Proactively identifying and implementing automation/ AI capabilities – in an Enterprise setup. Collaborating effectively with diverse stakeholders, including technical teams and business leaders. Adapting to fast-paced environments and evolving priorities with high energy and autonomy. Leveraging expertise in (Gen) AI solutions, Technologies & frameworks as listed above and enabling underlying system Integrations/ Infrastructure to deliver impactful solutions. Demonstrate strong problem-solving and analytical skills. Excellent documentation and presentation skills for technical and non-technical audiences. What You'll Bring A bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degrees in AI and Data Science are a plus. 10 - 12 years of professional experience in Engineering/ Software development with increasing responsibility. At least 4 – 5 years proven experience in implementing AI-driven applications. Experience in developing and deploying machine learning models and AI solutions. At least a few of the following : Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience on big data technologies and tools (e.g., Hadoop, Spark). At least 2 years in Gen AI/ LLM based solutions. GCP/ Azure/ Salesforce / other platforms - Data and AI services, Data Engineering, Analytics, Machine Learning, Cognitive Services; Cognitive Search and exposure to OpenAI solutions. Previous experience building a user-facing (Gen)AI/ LLM software applications Knowledge of LLMs, RAG/Agentic - Architecture, core concepts and fundamentals Knowledge of evolving protocols like MCP/ A2A/ ADK and others. Strong technical proficiency in both frontend and backend development (e.g., React, Python, Java, Typescript). Experience with design engineering, customer workshops, defining clear problem statements. Demonstrated ability to work with complex datasets and perform data preprocessing and analysis. Expertise needed in other areas - Experience with code repositories including but not limited: Azure DevOps; GitHub as well as understanding of branching and tagging strategies; understanding of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Experience with cloud technologies and infrastructure as code (e.g., AWS, Kubernetes, Terraform). Familiarity with software design patterns, architecture trade-offs, and integration best practices. Knowledge of DevOps practices, CI/CD pipelines, and automated testing frameworks. Experience with database management and data processing.

JOB DESCRIPTION Data Science: Associate Consultant Experience : 2.5+ years Requirement : Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics. Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint. Must Have Skills And Experience Excellent communication skill and should be able to frame problem statement into analytical approaches Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns. Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications. Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis with hands on experience on some of them. Familiarity with NLP concepts. Exposure on Generative AI and retriever augmented generation use cases RESPONSIBILITIES Data Science: Associate Consultant Experience : 2.5+ years QUALIFICATIONS Data Science: Associate Consultant Experience : 2.5+ years Must Have Skills And Experience Excellent communication skill and should be able to frame problem statement into analytical approaches Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns. Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications. Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis with hands on experience on some of them. Familiarity with NLP concepts. Exposure on Generative AI and retriever augmented generation use cases #KGS

Job Title - + + Management Level: Location: Kochi, Coimbatore, Trivandrum Must have skills: Big Data, Python or R Good to have skills: Scala, SQL Job Summary A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities Roles and Responsibilities Identify valuable data sources and collection processes Supervise preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns for insurance industry. Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Collaborate with engineering and product development teams Hands-on knowledge of implementing various AI algorithms and best-fit scenarios Has worked on Generative AI based implementations Professional And Technical Skills 3.5-5 years’ experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java or C++ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Hands on experience in Azure/AWS analytics platform (3+ years) Experience using variations of Databricks or similar analytical applications in AWS/Azure Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Strong mathematical skills (e.g. statistics, algebra) Excellent communication and presentation skills Deploying data pipelines in production based on Continuous Delivery practices. Additional Information Multi Industry domain experience Expert in Python, Scala, SQL Knowledge of Tableau/Power BI or similar self-service visualization tools Interpersonal and Team skills should be top notch Nice to have leadership experience in the past About Our Company | Accenture Experience: 3.5 -5 years of experience is required Educational Qualification: Graduation (Accurate educational details should capture)

Senior Gen AI Engineer Job Description Brightly Software is seeking an experienced candidate to join our Product team in the role of Gen AI engineer to drive best in class client-facing AI features by creating and delivering insights that advise client decisions tomorrow. As a Gen AI Engineer, you will play a critical role in building AI offerings for Brightly. You will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster. This will include the following: Lead the evaluation and selection of foundation models and vector databases based on performance and business needs Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities: Guide the design of multi-step RAG, agentic, or tool-augmented workflows Implement governance, safety layers, and responsible AI practices (e.g., guardrails, moderation, auditability) Mentor junior engineers and review GenAI design and implementation plans Drive experimentation, benchmarking, and continuous improvement of GenAI capabilities Collaborate with leadership to align GenAI initiatives with product and business strategy Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS Opensearch Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong exerience in predictive and stastical modelling. Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph. Develop GenAI applications using Hugging Face Transformers, LangChain, and Llama related frameworks Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate techn

Gen AI Engineer Job Description Brightly Software is seeking a high performer to join our Product team in the role of Gen AI engineer to drive best in class client-facing AI features by creating and delivering insights that advise client decisions tomorrow. As a Gen AI Engineer, you will play a critical role in building AI offerings for Brightly. You will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster. This will include the following: Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities: Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS OpenSearch Develop GenAI applications using Hugging Face Transformers, LangChain, and Llama related frameworks Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong exerience in predictive and stastical modelling. Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph. Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate technical concepts clearly to cross-functional and non-technical stakeholders Thrive in a fast-paced, lean environment and contribute to scalable GenAI system design Qualifications Bachelor’s degree is required 2-4 years of experience of total experience with a strong focus on AI and ML and 1+ years in core GenAI Engineering Demonstrated expertise in working with large language models (LLMs) and generative AI systems, including both text-based and multimodal models. Strong programming skills in Python, including proficiency with data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and/or PyTorch. Familiarity with MLOps principles and tools for automating and streamlining the ML lifecycle. Experience working with agentic AI. Capable of building Retrieval-Augmented Generation (RAG) pipelines leveraging vector stores like Pinecone, Chroma, or FAISS. Strong programming skills in Python, with experience using leading AI/ML libraries such as Hugging Face Transformers and LangChain. Practical experience in working with vector databases and embedding methodologies for efficient information retrieval. Possess experience in developing and exposing API endpoints for accessing AI model capabilities using frameworks like FastAPI. Knowledgeable in prompt engineering techniques, including prompt chaining and performance evaluation strategies. Solid grasp of natural language processing (NLP) fundamentals and transformer-based model architectures. Experience in deploying machine learning models to cloud platforms (preferably AWS) and containerized environments using Docker or Kubernetes. Skilled in fine-tuning and assessing open-source models using methods such as LoRA, PEFT, and supervised training. Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Able to operate successfully in a lean, fast-paced organization, and to create a vision and organization that can scale quickly Senior Gen AI Engineer

🚨 #JRF position at NIT Rourkela and the opportunity to convert it into a PhD program. Applications are invited from motivated and eligible candidates for the position of Junior Research Fellow (JRF) to work on a research project funded by #ANRF #SERB under the supervision of Dr Vinay Bankey at 📍 the Department of ECE, NIT Rourkela. 🎯Title of the Project: Design and Development of Intelligent Physical Layer Security Techniques for Non-Terrestrial Network-based Communications ✅Application Deadline: 02-Jul-2025 📅Duration: Initially for 1 year (extendible up to 3 years also can be converted into PhD. ✅Essential Qualifications Candidates must meet one of the following criteria: 👈M.Tech/M.E./M.S. (with GATE qualification) in Electronics and Communication, Electrical and Electronics, Electrical, Electronics, Instrumentation, Computer Science and Engineering, or similar, with specialization in Electronics, Communication, Signal Processing, or related fields. Minimum 60% marks or 6.5/10 CGPA in both B.E./B.Tech. and M.E./M.Tech. 👈B.E./B.Tech. in Electronics, Electronics and Communication, Electronics and Telecommunication, Electrical and Electronics, Electronics Instrumentation, Electrical Engineering, Computer Science Engineering, or similar, with minimum 65% marks or 7.0/10 CGPA and a valid GATE score. 👈M.Sc. (with GATE/NET/GPAT) in Electronics or similar, with 65% marks or 7.0/10 CGPA. ✅Who should apply? Candidates with a background in: 👈Passion for telecommunications security, particularly in 5G/6G, wireless networks, software-defined networks (SDNs), non-terrestrial networks (NTN), and satellite communications. 👈Knowledge of Digital Communications, Wireless Networks, and/or related areas. 👈Strong understanding of AI/ML algorithms, including classification, regression, clustering, reinforcement learning (RL), and deep learning (DL). Excellent written and verbal communication skills; strong analytical and technical problem-solving abilities. 👈Proficiency in programming languages such as MATLAB, C++, Python, and scripting languages. 🔗 Application Link: https://lnkd.in/gevvHS9m Eligible candidates may send their detailed CV, mark sheets, and relevant certificates in a single PDF file via email to bankeyv@nitrkl.ac.in with the subject line “Advertisement No.: NITR/SR/2025/Advt.-24EC049/L/037”. 📄 Please check the attached post for more details. ✉️ For any queries, feel free to reach out to me at: bankeyv@nitrkl.ac.in; vinaybankey@ieee.org.in

Job Description Specialist, Oncology New Products, Oncology Global Commercial Pipeline Analytics, HHDDA Our Human Health Digital Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Specialist, Oncology New Products, Oncology Global Commercial Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions from the Global Oncology New Products Marketing team to inform current and future pipeline strategies. The team member will partner closely with multiple cross-functional teams, including global marketing, regional marketing, clinical, outcomes research, medical affairs, as well as across the depth of the HHDDA organization. Reporting to Associate Director, Oncology Global Commercial Pipeline Analytics, within HHDDA, this role will lead the development of analytics capabilities for the innovative oncology new products and pipeline priorities, spanning all tumor areas across oncology and hematology. The successful candidate will ’connect the dots’ across HHDDA capability functions like market research, forecasting, payer insights & analytics, data science, data strategy & solutions. Primary Responsibilities Pipeline Analytics & Insights Conduct analytics and synthesize insights enable launch excellence for multiple new assets. Conceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support strategic decision- making for Global Oncology portfolio (e.g. market and competitor landscape assessment tools, commercial opportunity assessments, market maps, analytical patient and HCP journeys, benchmark libraries). Analytics Delivery Hands-on analytics project delivery with advanced expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation. Benchmarking Analytics Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices. Stakeholder Collaboration Partner effectively with global marketing teams, HHDDA teams, and other cross-functional teams to inform strategic decisions and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency Provide clear and synthesized communication to global marketing leaders and cross-functional teams, on commercial insights addressing the priority business questions. Required Experience And Skills Bachelor's degree, preferably in a scientific, engineering, or business-related field. Overall experience of 5+ years, with 3+ years of relevant experience in oncology commercialization, advanced analytics, oncology forecasting, insights syndication, clinical development, or related roles within the pharmaceutical or biotechnology industry Therapeutic area experience in Oncology and/or emerging oncology therapies Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems. Experience conducting predictive modelling and secondary data analytics on large datasets using relevant skills (e.g., excel VBA, Python, SQL) and understanding of algorithms (such as regressions, decision trees, clustering etc.) Deep understanding of commercial Oncology global data ecosystem e.g., Epidemiology datasets, claims datasets, and real-world datasets Confident leader who takes ownership of responsibilities, is able to work autonomously and hold self and others accountable for delivery of quality output Strategic thinker who is consultative, collaborative and can “engage as equals.” Strong communication skills using effective storytelling grounded on data insights. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Ability to connect dots across sources, and attention to detail Preferred Experience And Skills Experience in diverse healthcare datasets, insights, and analytics Experience in Life Science or consulting industry Advanced degree (e.g., MBA, PharmD, PhD) preferred. Global experience preferred Team management experience Data visualization skills (e.g. PowerBI) Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics, and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R340907

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connectR0126349bbc913121c9c10be393e180380695f30paypalStaff Software Engineer Your way to impact In this role, you’ll drive the adoption of Generative AI across PayPal’s Site Reliability Engineering organization by building intelligent, scalable platforms—like AI-powered chatbots and predictive systems—that enhance system reliability and engineering productivity. Your work will enable automation at scale, reduce operational toil, and deliver real-time insights that empower engineers across the business. As a technical leader in SRE Labs, you’ll shape how reliability engineering evolves at PayPal, influencing architecture, best practices, and product direction. You’ll be part of a collaborative, high-performance team that brings cutting-edge technology into mission-critical environments. Your day to day In your day to day role you will Lead the design and development of GenAI-driven platforms, including intelligent chatbots, AI copilots, and automation tools for Site Reliability use cases. Build and deploy machine learning models in production using technologies like Python, , LangChain, LLM APIs (OpenAI, Anthropic, Azure OpenAI), Collaborate cross-functionally with product, infrastructure, and SRE teams to translate reliability pain points into scalable AI/ML-powered solutions. Develop scalable front-end and backend services using React.js and Node.js to build user-facing AI-powered applications and APIs. Drive system design and architecture decisions that ensure scalability, reliability, and maintainability of AI platforms. Mentor engineers, share best practices, and help evolve PayPal’s GenAI strategy and engineering standards. What Do You Need To Bring- A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent practical experience. 8+ years of experience designing, developing, and deploying AI/ML solutions, with a strong emphasis on LLMs, chatbots, and scalable architecture. Proficiency in Python, React.js, and Node.js, with hands-on experience building scalable applications and services. Hands-on expertise with LangChain,,lang graph, RESTful APIs and cloud platforms including deploying models in production. Strong understanding of system design principles with experience architecting large-scale, fault-tolerant distributed systems. Solid knowledge of ML pipelines, prompt engineering, retrieval-augmented generation (RAG), and integration of LLMs with enterprise systems. A proven ability to lead cross-functional projects, mentor peers, and influence technical direction while working in Agile, fast-paced environments. You have good analytical and problem-solving skills. Strong verbal and written communication skills. Flexibility and willingness to learn new technologies and adapt quickly. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. What you need to know about the role- SRE Labs, part of PayPal’s Site Reliability Engineering (SRE) organization, is seeking a Staff Software Engineer to lead and shape our Generative AI (GenAI) practice. In this high-impact role, you’ll architect and deliver scalable, production-grade AI solutions—ranging from intelligent chatbots to next-gen automation tools. You'll bring deep engineering expertise and a passion for AI innovation to transform how PayPal builds resilient and intelligent systems. This is a hands-on role with strategic reach: you’ll design, build, and lead AI-first platforms and services that redefine reliability engineering. You’ll work in a fast-paced, agile environment alongside top-tier engineers, product leads, and business partners to bring meaningful, customer-facing innovation to life. Meet our team PayPal SRE is a continuous engineering discipline that effectively combines software development and systems engineering to build and run scalable, distributed, fault-tolerant systems. The SRE team works together to ensure a continuous improvement to optimize for capacity and performance. SRE Labs enables innovation and builds enterprise-wide platforms to support Reliability.Chennai058a7c64f4a043ad9dc148854028f375IND-TNTNIN-TNc4f78be1a8f14da0ab49ce1162348a5eININD356600119bcdc9518960a01a46ac477aa2d240c99RECR_INTN001aacf3285c80f1001c4c166891c570000JF_Software_EngineeringFull_timehttps://paypal.eightfold.ai/careers?domain=paypal.com&sort_by=relevance&query=R0126349 The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: We are looking for a talented Machine Learning Scientist to join our Venmo Data Science team, driving the development of AI-driven solutions that will shape the future of Venmo. You design and develop ML solutions including prediction, classification, clustering and recommendation.What you need to know about the role- SRE Labs, part of PayPal’s Site Reliability Engineering (SRE) organization, is seeking a Staff Software Engineer to lead and shape our Generative AI (GenAI) practice. In this high-impact role, you’ll architect and deliver scalable, production-grade AI solutions—ranging from intelligent chatbots to next-gen automation tools. You'll bring deep engineering expertise and a passion for AI innovation to transform how PayPal builds resilient and intelligent systems. This is a hands-on role with strategic reach: you’ll design, build, and lead AI-first platforms and services that redefine reliability engineering. You’ll work in a fast-paced, agile environment alongside top-tier engineers, product leads, and business partners to bring meaningful, customer-facing innovation to life. Meet our team PayPal SRE is a continuous engineering discipline that effectively combines software development and systems engineering to build and run scalable, distributed, fault-tolerant systems. The SRE team works together to ensure a continuous improvement to optimize for capacity and performance. SRE Labs enables innovation and builds enterprise-wide platforms to support Reliability. Job Description: With a strong background in Machine Learning and practical experience in building and implementing predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market. Key Roles and Responsibilities include: Develop and implement advanced ML models, such as gradient boosted decision tree, LLMs, Clustering and deep learning models, to solve critical business problems related to Venmo. Design and deploy scalable ML/AI solutions that enhance Venmo's ability to provide a seamless customer experience, by working closely with our engineering group Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise. Basic Requirements: Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 3+ yrs. of relevant industry experience or PhD with 2+ yrs. of relevant industry experience Great track record delivering solutions with attention to detail and efficiency Experience in any one of Product or Marketing domains is a big plus Proficient in Programming languages such as Python, SQL Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. GCP/Hadoop and big data experience – an advantage Your way to impact In this role, you’ll drive the adoption of Generative AI across PayPal’s Site Reliability Engineering organization by building intelligent, scalable platforms—like AI-powered chatbots and predictive systems—that enhance system reliability and engineering productivity. Your work will enable automation at scale, reduce operational toil, and deliver real-time insights that empower engineers across the business. As a technical leader in SRE Labs, you’ll shape how reliability engineering evolves at PayPal, influencing architecture, best practices, and product direction. You’ll be part of a collaborative, high-performance team that brings cutting-edge technology into mission-critical environments. Your day to day In your day to day role you will Lead the design and development of GenAI-driven platforms, including intelligent chatbots, AI copilots, and automation tools for Site Reliability use cases. Build and deploy machine learning models in production using technologies like Python, , LangChain, LLM APIs (OpenAI, Anthropic, Azure OpenAI), Collaborate cross-functionally with product, infrastructure, and SRE teams to translate reliability pain points into scalable AI/ML-powered solutions. Develop scalable front-end and backend services using React.js and Node.js to build user-facing AI-powered applications and APIs. Drive system design and architecture decisions that ensure scalability, reliability, and maintainability of AI platforms. Mentor engineers, share best practices, and help evolve PayPal’s GenAI strategy and engineering standards. What Do You Need To Bring- A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent practical experience. 8+ years of experience designing, developing, and deploying AI/ML solutions, with a strong emphasis on LLMs, chatbots, and scalable architecture. Proficiency in Python, React.js, and Node.js, with hands-on experience building scalable applications and services. Hands-on expertise with LangChain,,lang graph, RESTful APIs and cloud platforms including deploying models in production. Strong understanding of system design principles with experience architecting large-scale, fault-tolerant distributed systems. Solid knowledge of ML pipelines, prompt engineering, retrieval-augmented generation (RAG), and integration of LLMs with enterprise systems. A proven ability to lead cross-functional projects, mentor peers, and influence technical direction while working in Agile, fast-paced environments. You have good analytical and problem-solving skills. Strong verbal and written communication skills. Flexibility and willingness to learn new technologies and adapt quickly. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0126346R0126349

Title of the position: Senior Engineer Server Admin Location: Hosur About The Business Tata Electronics Pvt. Ltd. is a prominent global player in the electronics manufacturing industry, with fast-emerging capabilities in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 as a greenfield venture of the Tata Group, the company aims to serve global customers through integrated offerings across a trusted electronics and semiconductor value chain. With a rapidly growing workforce, the company currently employs over 65,000 people and has significant operations in Gujarat, Assam, Tamil Nadu, and Karnataka, India. Tata Electronics is committed to creating a socioeconomic footprint by employing many women in its workforce and actively supporting local communities through initiatives in environment, education, healthcare, sports and livelihood. Role Overview Join Tata Electronics Pvt. Ltd., a global leader in electronics manufacturing, as a Senior Engineer Server Admin in our Jasmine location. Reporting to Ganapati Naik, you will design, deploy, and maintain robust Windows and Linux server environments, ensuring high availability, security, and performance. This role offers a chance to contribute to a fast-growing organization with operations across Gujarat, Assam, Tamil Nadu, and Karnataka, while supporting our mission to drive innovation and community impact. Key Responsibilities Design, deploy, and maintain enterprise-grade Windows and Linux server environments (physical and virtual). Manage virtualization platforms like VMware vSphere/ESXi or Microsoft Hyper-V, including VM provisioning, resource optimization, clustering, and HA/DR configurations. Perform advanced troubleshooting of server, OS, and application issues across Windows and Linux systems. Implement and manage patching, backup, and monitoring solutions for system reliability. Lead infrastructure upgrades, migrations, and performance tuning initiatives. Collaborate with application, storage, network, and cloud teams on cross-functional IT projects. Ensure compliance with IT security policies and standards (ISO, GDPR, etc.). Automate routine tasks using PowerShell and Shell scripting. Maintain detailed documentation of system architecture, procedures, and configurations. Provide technical leadership and mentor L1 and L2 support teams. Participate in 24x7 on-call support rotation for critical issues. Essential Attributes Windows Server Expertise : Proficient in Windows Server (2016/2019/2022), including Active Directory, DNS, DHCP, Group Policy, and File Services. Linux Expertise : Strong knowledge of Linux distributions (RHEL/CentOS/Ubuntu), including user management, services, networking, and storage. Virtualization Expertise : Experience with VMware vSphere/ESXi, vCenter, Hyper-V, or equivalent platforms. Qualifications Bachelor’s degree in computer science, Information Technology, BCA/MCA, or a related field. Preferred Certifications (Nice to Have): Windows Server, VMware Certified, RHEL, ITIL. Desired Experience 6–9 years of relevant experience in Windows, Linux, and virtualization environments.

Job Description Global Data Insight & Analytics organization is looking for a top-notch Software Engineer who has also got Machine Learning knowledge & Experience to add to our team to drive the next generation of AI/ML (Mach1ML) platform. In this role you will work in a small, cross-functional team. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers from distributed locations, and will release early and often. The team you will be working on is focused on building Mach1ML platform – an AI/ML enablement platform to democratize Machine Learning across Ford enterprise (like OpenAI’s GPT, Facebook’s FBLearner, etc.) to deliver next-gen analytics innovation. We strongly believe that data has the power to help create great products and experiences which delight our customers. We believe that actionable and persistent insights, based on high quality data platform, help business and engineering make more impactful decisions. Our ambitions reach well beyond existing solutions, and we are in search of innovative individuals to join this Agile team. This is an exciting, fast-paced role which requires outstanding technical and organization skills combined with critical thinking, problem-solving and agile management tools to support team success. Responsibilities What you'll be able to do: As a Software Engineer, you will work on developing features for Mach1ML platform, support customers in model deployment using Mach1ML platform on GCP and On-prem. You will follow Rally to manage your work. You will incorporate an understanding of product functionality and customer perspective for model deployment. You will work on the cutting-edge technologies such as GCP, Kubernetes, Docker, Seldon, Tekton, Airflow, Rally, etc. Position Responsibilities: Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Ford Agile Framework. Work with Data Scientists and ML engineers to tackle challenging AI problems. Work specifically on the Deploy team to drive model deployment and AI/ML adoption with other internal and external systems. Help innovate by researching state-of-the-art deployment tools and share knowledge with the team. Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery. Leverage latest GCP, CICD, ML technologies Critical Thinking: Able to influence the strategic direction of the company by finding opportunities in large, rich data sets and crafting and implementing data driven strategies that fuel growth including cost savings, revenue, and profit. Modelling: Assessments, and evaluating impacts of missing/unusable data, design and select features, develop, and implement statistical/predictive models using advanced algorithms on diverse sources of data and testing and validation of models, such as forecasting, natural language processing, pattern recognition, machine vision, supervised and unsupervised classification, decision trees, neural networks, etc. Analytics: Leverage rigorous analytical and statistical techniques to identify trends and relationships between different components of data, draw appropriate conclusions and translate analytical findings and recommendations into business strategies or engineering decisions - with statistical confidence Data Engineering: Experience with crafting ETL processes to source and link data in preparation for Model/Algorithm development. This includes domain expertise of data sets in the environment, third-party data evaluations, data quality Visualization: Build visualizations to connect disparate data, find patterns and tell engaging stories. This includes both scientific visualization as well as geographic using applications such as Seaborn, Qlik Sense/PowerBI/Tableau/Looker Studio, etc. Qualifications Minimum Requirements we seek: Bachelor’s or master’s degree in computer science engineering or related field or a combination of education and equivalent experience. 3+ years of experience in full stack software development 3+ years’ experience in Cloud technologies & services, preferably GCP 3+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc. 3+ years’ experience with Python, SQL, BQ. Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, Streamlit, React Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Our Preferred Requirements: Master’s degree in computer science engineering, or related field or a combination of education and equivalent experience. Demonstrated successful application of analytical methods and machine learning techniques with measurable impact on product/design/business/strategy. Proficiency in programming languages such as Python with a strong emphasis on machine learning libraries, generative AI frameworks, and monitoring tools. Utilize tools and technologies such as TensorFlow, PyTorch, scikit-learn, and other machine learning libraries to build and deploy machine learning solutions on cloud platforms. Design and implement cloud infrastructure using technologies such as Kubernetes, Terraform, and Tekton to support scalable and reliable deployment of machine learning models, generative AI models, and applications. Integrate machine learning and generative AI models into production systems on cloud platforms such as Google Cloud Platform (GCP) and ensure scalability, performance, and proactive monitoring. Implement monitoring solutions to track the performance, health, and security of systems and applications, utilizing tools such as Prometheus, Grafana, and other relevant monitoring tools. Conduct code reviews and provide constructive feedback to team members on machine learning-related projects. Knowledge and experience in agentic workflow based application development and DevOps Stay up to date with the latest trends and advancements in machine learning and data science.

Job Description Specialist, Oncology New Products, Oncology Global Commercial Pipeline Analytics, HHDDA Our Human Health Digital Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Specialist, Oncology New Products, Oncology Global Commercial Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions from the Global Oncology New Products Marketing team to inform current and future pipeline strategies. The team member will partner closely with multiple cross-functional teams, including global marketing, regional marketing, clinical, outcomes research, medical affairs, as well as across the depth of the HHDDA organization. Reporting to Associate Director, Oncology Global Commercial Pipeline Analytics, within HHDDA, this role will lead the development of analytics capabilities for the innovative oncology new products and pipeline priorities, spanning all tumor areas across oncology and hematology. The successful candidate will ’connect the dots’ across HHDDA capability functions like market research, forecasting, payer insights & analytics, data science, data strategy & solutions. Primary Responsibilities: Pipeline Analytics & Insights: Conduct analytics and synthesize insights enable launch excellence for multiple new assets. Conceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support strategic decision- making for Global Oncology portfolio (e.g. market and competitor landscape assessment tools, commercial opportunity assessments, market maps, analytical patient and HCP journeys, benchmark libraries). Analytics Delivery: Hands-on analytics project delivery with advanced expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation. Benchmarking Analytics: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices. Stakeholder Collaboration: Partner effectively with global marketing teams, HHDDA teams, and other cross-functional teams to inform strategic decisions and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency: Provide clear and synthesized communication to global marketing leaders and cross-functional teams, on commercial insights addressing the priority business questions. Required Experience and Skills: Bachelor's degree, preferably in a scientific, engineering, or business-related field. Overall experience of 5+ years, with 3+ years of relevant experience in oncology commercialization, advanced analytics, oncology forecasting, insights syndication, clinical development, or related roles within the pharmaceutical or biotechnology industry Therapeutic area experience in Oncology and/or emerging oncology therapies Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems. Experience conducting predictive modelling and secondary data analytics on large datasets using relevant skills (e.g., excel VBA, Python, SQL) and understanding of algorithms (such as regressions, decision trees, clustering etc.) Deep understanding of commercial Oncology global data ecosystem e.g., Epidemiology datasets, claims datasets, and real-world datasets Confident leader who takes ownership of responsibilities, is able to work autonomously and hold self and others accountable for delivery of quality output Strategic thinker who is consultative, collaborative and can “engage as equals.” Strong communication skills using effective storytelling grounded on data insights. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Ability to connect dots across sources, and attention to detail Preferred Experience and Skills: Experience in diverse healthcare datasets, insights, and analytics Experience in Life Science or consulting industry Advanced degree (e.g., MBA, PharmD, PhD) preferred. Global experience preferred Team management experience Data visualization skills (e.g. PowerBI) Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics, and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills: Job Posting End Date: 07/31/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R340907

Summary As a data science intern, you will: Apply your skills to solve real-world challenges related to employee engagement, recruitment optimization, predictive workforce planning, and generative AI use cases. Design models, dashboards, and frameworks that influence enterprise-wide decisions. Collaborate on high-impact projects with direct visibility to stakeholders and leaders. Gain hands-on experience with cutting-edge data science methodologies and tools, including machine learning, predictive analytics, large language models (LLMs), and generative AI. Build tangible solutions that shape the future of the workforce—strategy, processes, and culture. Support supervisor in research and development of new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data. About the Role Responsibilities: As a data science intern, you will: Apply your skills to solve real-world challenges related to employee engagement, recruitment optimization, predictive workforce planning, and generative AI use cases. Design models, dashboards, and frameworks that influence enterprise-wide decisions. Collaborate on high-impact projects with direct visibility to stakeholders and leaders. Gain hands-on experience with cutting-edge data science methodologies and tools, including machine learning, predictive analytics, large language models (LLMs), and generative AI. Build tangible solutions that shape the future of the workforce—strategy, processes, and culture. Support supervisor in research and development of new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data. Your impact will include: Leverage statistical and machine learning techniques such as regression, classification, clustering, and design of experiments. Develop predictive models to address key HR areas like talent acquisition, employee experience, location strategy, and workforce planning. Build self-service dashboards and visualizations that empower stakeholders with real-time insights. Conduct data mining, exploratory data analysis (EDA), and feature engineering to uncover actionable insights. Use generative AI to create personalized employee experiences, optimize HR workflows, and support decision-making. Explore and prototype LLM-based use cases to revolutionize workforce analytics. What you’ll bring to the role: Relevant experience in Data Science Post-graduate or Graduate from a top Tier University in a quantitative discipline Technical Skills: Statistical Modeling/Machine Learning. Must have: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (Trees, Random Forest, Boosting, SVM, CART, etc.) Clustering, Design of Experiments, Statistical Inference Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division People & Organization Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Others Job Type Full time Employment Type Early Career (Fixed Term) Shift Work No

Role Purpose The Sr Analyst IT Business is responsible for leading business process reviews and provide recommendations to ensure processes, systems and documentation meet changing business conditions and/or requirements. The Sr Analyst IT Business will gather business requirements, perform system and process analysis, design, support testing and prototyping for large cross functional complex projects. Senior IT Analyst will need to lead the design and implementation of automation solutions across business functions, leveraging RPA tools to enhance efficiency and drive stakeholder engagement. Key Accountabilities Collaborate with technology partners to design and deliver automation solutions that leverage RPA, Python, and AI/ML components. Analyze business processes, identify automation opportunities, and create solution architectures that include cognitive and predictive elements. Lead technical design, code reviews, and ensure adherence to automation best practices and enterprise architecture standards. Enhance and optimize existing automations, integrating machine learning models or AI APIs where applicable. Work with AI tools such as OCR engines, language models, and classification/prediction models to build intelligent workflows. Conduct monthly stakeholder meetings to track business demand, pipeline, and discuss potential automation initiatives. Track all work in Rally or equivalent project tracking tool, with regular reporting and documentation. Guide and manage the automation support team, ensuring timely resolution of incidents, root cause analysis, and continuous improvement. Key Skills & Experiences Education – Bachelor's in a relevant field of work or an equivalent combination of education and work related experience. SAFe PO/PM certification preferred SAFe Agilist certification preferred Experience – Strong proficiency in Automation tools and capabilities preferably - BP, UIP, MS PA etc. Advanced Python programming skills, including experience with automation, APIs, and data handling libraries (e.g., pandas, NumPy). Exposure to AI/ML concepts such as model building, classification, regression, clustering, and NLP techniques. Familiarity with machine learning frameworks such is a plus. Experience with intelligent document processing, LLM integration, and cognitive automation is a plus (e.g., chatbots & smart decisioning). Understanding of integration technologies – REST/SOAP APIs, databases, and enterprise platforms. Experience with Microsoft Power Platform tools like Power Apps, Power Automate and Power BI is beneficial. Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Mining Engineer to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: ● Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “Big Data”, and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. ● Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. ● Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detections. ● Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. ● Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). ● Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). ● Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. ● Contribute to the academic and research environment of the department and the university. Required Qualifications: ● A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. ● Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. ● Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). ● Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. ● Excellent communication and interpersonal skills. Preferred Qualifications: ● A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. ● Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. ● Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). ● Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: ● Competitive salary packages aligned with industry standards. ● Access to state-of-the-art labs and classroom facilities. ● To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education! Job Type: Full-time Pay: ₹1,000,000.00 - ₹3,000,000.00 per year Benefits: Food provided Health insurance Leave encashment Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Quarterly bonus Yearly bonus Application Question(s): Are you interested in a full-time time onsite Instructor role? Are you ready to relocate to Sonipat - NCR Delhi? Are you ready to relocate to Pune? Work Location: In person Expected Start Date: 15/07/2025

Job Description: Key Responsibilities: Lead the design, implementation, and optimization of MySQL databases on AWS and Azure cloud environments. Manage cloud-native MySQL services such as AWS RDS, Aurora, Azure Database for MySQL. Oversee database security, including user management, encryption, and backup strategies. Develop and implement performance tuning strategies, including query optimization, indexing, and hardware scaling. Design and manage high availability and disaster recovery strategies using replication, clustering, and automated backups. Automate routine DBA tasks using tools like Ansible, Python, or Shell scripting. Monitor MySQL database performance using cloud-native monitoring tools and third-party solutions. Troubleshoot and resolve database-related issues in a timely manner, ensuring high availability and minimal downtime. Lead and mentor a team of junior DBAs, ensuring effective collaboration with development and operations teams. Manage database migrations, upgrades, and capacity planning for future growth. Required Skills & Experience: Proven experience as a MySQL DBA, with a focus on cloud platforms like AWS (RDS, Aurora) and Azure (Azure Database for MySQL). Strong expertise in MySQL performance tuning, query optimization, and index management. Hands-on experience with high availability solutions (replication, clustering) and backup/recovery strategies. Expertise in cloud-native database management and deployment in AWS and Azure environments. Proficient in database automation using scripting languages (Python, Bash, Ansible). Experience with monitoring tools (CloudWatch, Azure Monitor, Percona Monitoring, Nagios). Strong troubleshooting skills and ability to resolve complex database issues quickly. Experience with security management, including access control, encryption, and auditing. Familiarity with database migrations and upgrades in cloud environments. Preferred Qualifications: MySQL certifications or cloud certifications (AWS Certified Database – Specialty, Azure Database certifications). Experience with Infrastructure as Code (Terraform, CloudFormation) for MySQL provisioning. Familiarity with DevOps and CI/CD processes in a database environment. Experience in managing MySQL in containerized environments (Docker, Kubernetes). Job Types: Full-time, Permanent Pay: Up to ₹1,800,000.00 per year Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

Job Description: Key Responsibilities: Lead the design, implementation, and optimization of MySQL databases on AWS and Azure cloud environments. Manage cloud-native MySQL services such as AWS RDS, Aurora, Azure Database for MySQL. Oversee database security, including user management, encryption, and backup strategies. Develop and implement performance tuning strategies, including query optimization, indexing, and hardware scaling. Design and manage high availability and disaster recovery strategies using replication, clustering, and automated backups. Automate routine DBA tasks using tools like Ansible, Python, or Shell scripting. Monitor MySQL database performance using cloud-native monitoring tools and third-party solutions. Troubleshoot and resolve database-related issues in a timely manner, ensuring high availability and minimal downtime. Lead and mentor a team of junior DBAs, ensuring effective collaboration with development and operations teams. Manage database migrations, upgrades, and capacity planning for future growth. Required Skills & Experience: Proven experience as a MySQL DBA, with a focus on cloud platforms like AWS (RDS, Aurora) and Azure (Azure Database for MySQL). Strong expertise in MySQL performance tuning, query optimization, and index management. Hands-on experience with high availability solutions (replication, clustering) and backup/recovery strategies. Expertise in cloud-native database management and deployment in AWS and Azure environments. Proficient in database automation using scripting languages (Python, Bash, Ansible). Experience with monitoring tools (CloudWatch, Azure Monitor, Percona Monitoring, Nagios). Strong troubleshooting skills and ability to resolve complex database issues quickly. Experience with security management, including access control, encryption, and auditing. Familiarity with database migrations and upgrades in cloud environments. Preferred Qualifications: MySQL certifications or cloud certifications (AWS Certified Database – Specialty, Azure Database certifications). Experience with Infrastructure as Code (Terraform, CloudFormation) for MySQL provisioning. Familiarity with DevOps and CI/CD processes in a database environment. Experience in managing MySQL in containerized environments (Docker, Kubernetes). Job Type: Full-time Pay: From ₹100,000.00 per month Schedule: Monday to Friday Work Location: In person

Title: Bioinformatician Date: 20 Jun 2025 Job Location: Bangalore Pay Grade Year of Experience: Job Title: Bioinformatician Job Location: Bangalore About Syngene: Syngene ( www.syngeneintl.com ) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply. At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures, and SOPs, in letter and spirit Overall adherence to safe practices and procedures of oneself and the teams aligned Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company’s integrity & quality standards Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times. Ensuring safety of self, teams, and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace. Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self Compliance to Syngene’ s quality standards at all times Hold self and their teams accountable for the achievement of safety goals Govern and Review safety metrics from time to time We are seeking a highly skilled and experienced computational biologist to join our team. The ideal candidate will have a proven track record in multi-omics data analysis. They will be responsible for integrative analyses and contributing to the development of novel computational approaches to uncover biological insights. Experience: 1-4 years Core Purpose of the Role To support data-driven biological research by performing computational analysis of omics data, and generating translational insights through bioinformatics tools and pipelines. Position Responsibilities Conduct comprehensive analyses of multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Develop computational workflows to integrate various -omics data to generate inference and hypotheses for testing. Conduct differential expression and functional enrichment analyses. Implement and execute data processing workflows and automate the pipelines with best practices for version control, modularization, and documentation. Apply advanced multivariate data analysis techniques, including regression, clustering, and dimensionality reduction, to uncover patterns and relationships in large datasets. Collaborate with researchers, scientists, and other team members to translate computational findings into actionable biological insights. Educational Qualifications Master’s degree in bioinformatics. Mandatory Technical Skills Programming: Proficiency in Python for data analysis, visualization, and pipeline development. Multi-omics analysis: Proven experience in analyzing and integrating multi-omics datasets. Statistics: Knowledge of probability distributions, correlation analysis, and hypothesis testing. Data visualization: Strong understanding of data visualization techniques and tools (e.g., ggplot2, matplotlib, seaborn). Preferred Machine learning: Familiarity with AI/ML concepts Behavioral Skills Excellent communication skills Objective thinking Problem solving Proactivity Syngene Values All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism Equal Opportunity Employer It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.

S enior Fullstack AI/ML Engineer Location: Delhi Experience: 3-5 years Mode: On-site About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Internal Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. Internal NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

Data Science Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The Data Science Internship is designed to equip you with the skills required to extract insights, build predictive models, and solve complex problems using data. Role Overview: As a Data Science Intern, you will work on real-world datasets to develop machine learning models, perform data wrangling, and generate actionable insights. This internship will help you strengthen your technical foundation in data science while working on projects that have a tangible business impact. Key Responsibilities: Collect, clean, and preprocess data from various sources Apply statistical methods and machine learning techniques to extract insights Build and evaluate predictive models for classification, regression, or clustering tasks Visualize data using libraries like Matplotlib, Seaborn, or tools like Power BI Document findings and present results to stakeholders in a clear and concise manner Collaborate with team members on data-driven projects and innovations Qualifications: Pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, or a related field Proficiency in Python and data science libraries (NumPy, Pandas, Scikit-learn, etc.) Understanding of statistical analysis and machine learning algorithms Familiarity with SQL and data visualization tools or libraries Strong analytical, problem-solving, and critical thinking skills Eagerness to learn and apply data science techniques to solve real-world problems Internship Benefits: Hands-on experience with real datasets and end-to-end data science projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of data science projects and models

Job Description Senior Specialist, Oncology New Products, Oncology Global Commercial Pipeline Analytics, HHDDA Our Human Health Digital Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Senior Specialist, Oncology New Products, Oncology Global Commercial Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions from the Global Oncology New Products Marketing team to inform current and future pipeline strategies. The team member will partner closely with multiple cross-functional teams, including global marketing, regional marketing, clinical, outcomes research, medical affairs, as well as across the depth of the HHDDA organization. Reporting to Associate Director, Oncology Global Commercial Pipeline Analytics, within HHDDA, this role will lead the development of analytics capabilities for the innovative oncology new products and pipeline priorities, spanning all tumor areas across oncology and hematology. The successful candidate will ’connect the dots’ across HHDDA capability functions like market research, forecasting, payer insights & analytics, data science, data strategy & solutions. Primary Responsibilities Pipeline Analytics & Insights Conduct analytics and synthesize insights enable launch excellence for multiple new assets. Conceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support strategic decision- making for Global Oncology portfolio (e.g. market and competitor landscape assessment tools, commercial opportunity assessments, market maps, analytical patient and HCP journeys, benchmark libraries). Analytics Delivery Hands-on analytics project delivery with advanced expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation. Benchmarking Analytics Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices. Stakeholder Collaboration Partner effectively with global marketing teams, HHDDA teams, and other cross-functional teams to inform strategic decisions and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency Provide clear and synthesized communication to global marketing leaders and cross-functional teams, on commercial insights addressing the priority business questions. Required Experience And Skills Bachelor's degree, preferably in a scientific, engineering, or business-related field. Overall experience of 8+ years, with 4+ years of relevant experience in oncology commercialization, advanced analytics, oncology forecasting, insights syndication, clinical development, or related roles within the pharmaceutical or biotechnology industry Therapeutic area experience in Oncology and/or emerging oncology therapies Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems. Experience conducting predictive modelling and secondary data analytics on large datasets using relevant skills (e.g., excel VBA, Python, SQL) and understanding of algorithms (such as regressions, decision trees, clustering etc.) Deep understanding of commercial Oncology global data ecosystem e.g., Epidemiology datasets, claims datasets, and real-world datasets Confident leader who takes ownership of responsibilities, is able to work autonomously and hold self and others accountable for delivery of quality output Strategic thinker who is consultative, collaborative and can “engage as equals.” Strong communication skills using effective storytelling grounded on data insights. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Ability to connect dots across sources, and attention to detail Preferred Experience And Skills Experience in diverse healthcare datasets, insights, and analytics Experience in Life Science or consulting industry Advanced degree (e.g., MBA, PharmD, PhD) preferred. Global experience preferred Team management experience Data visualization skills (e.g. PowerBI) Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R339603

Job Title - + + Management Level Location: Kochi, Coimbatore, Trivandrum Must have skills: Big Data, Python or R Good to have skills: Scala, SQL Job Summary A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities Roles and Responsibilities Identify valuable data sources and collection processes Supervise preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns for insurance industry. Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Collaborate with engineering and product development teams Hands-on knowledge of implementing various AI algorithms and best-fit scenarios Has worked on Generative AI based implementations Professional And Technical Skills 3.5-5 years’ experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java or C++ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Hands on experience in Azure/AWS analytics platform (3+ years) Experience using variations of Databricks or similar analytical applications in AWS/Azure Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Strong mathematical skills (e.g. statistics, algebra) Excellent communication and presentation skills Deploying data pipelines in production based on Continuous Delivery practices. Additional Information Multi Industry domain experience Expert in Python, Scala, SQL Knowledge of Tableau/Power BI or similar self-service visualization tools Interpersonal and Team skills should be top notch Nice to have leadership experience in the past About Our Company | Accenture

Job Title: AI-ML Engineer Location: Pune Experience: 3–7 Years Job Summary: We are looking for an experienced AI/ML Engineer to join our team and contribute to the development of scalable machine learning systems. You will work across teams to design, implement, and optimize end-to-end ML pipelines in a high-performance, real-time environment. Key Responsibilities: Collaborate with teams in Data Science, Engineering, and Operations to address large-scale ML challenges. Build and manage end-to-end ML pipelines including data processing, training, and deployment. Optimize models for performance, hyperparameter tuning, and training efficiency. Leverage deep learning frameworks and cloud platforms for scalable model deployment. Ensure seamless integration with distributed systems and data ecosystems. Required Skills: 2+ years of Python programming experience. 1+ year in ML methods: classification, clustering, recommendation, optimization, graph mining, or deep learning. 2+ years Experience with distributed frameworks (Hadoop, Spark, Kubernetes). 2+ years Experience with DL tools like TensorFlow, PyTorch, or Keras. 2+ years Experience with Cloud experience (AWS/GCP/Azure). Excellent communication skills. Must Have : Prior AdTech experience (DSP, SSP, Ad Exchange). M.Tech or Ph.D. in Computer Science, Software Engineering, Mathematics, or a related field.

Role: Sr SQL Developer Experience : 4 to 10 Years Location: Hyderabad Work Timings: 1 PM to 10 PM Job Responsibilities: Mandatory Skills: 1. Strong Proficiency with T-SQL. 2. Experience with MS SQL Server relational database. 3. Experience in writing T-SQL queries, Custom Stored Procedures, Indexes, Functions and Triggers as per the client requirements. 4. Good Knowledge and working experience in Performance Tuning. Desired Skills: Good knowledge in SQL Server 2008, 2008 R2, 2012 and 2014 with hands on Migration experience. Good understanding of background process functionality. Create, manage, and maintain tables using appropriate storage settings and create database using the Database Configuration Assistant Backup / Recovery and Performance Tuning. Knowledge of Backup and Recovery options and can carry out Basic recovery under guidance. Good knowledge and hands on experience in tuning the Database at Memory level, able to tweak SQL queries. Good understanding of the SQL Server architecture and can trouble shoot connectivity issues. Should have good administrative knowledge of Windows OS. Should be able to administer and alter security and audit parameters under guidance. Good working knowledge of SQL Server profiler and Perform console and can carry out administrative job. Familiar with using most of the options available in Profiler. Working knowledge on Clustering, Mirroring and Log shipping Knowledge of SQL Server high availability like Clustering, Log shipping, Mirroring and Replication. Please share your updated CV to hiring@paradigmit.com

Senior Gen AI Engineer Job Description Brightly Software is seeking an experienced candidate to join our Product team in the role of Gen AI engineer to drive best in class client-facing AI features by creating and delivering insights that advise client decisions tomorrow. Role As a Gen AI Engineer , you will play a critical role in building AI offerings for Brightly. Y ou will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster . This will include the following: Lead the evaluation and selection of foundation models and vector databases based on performance and business needs Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities Guide the design of multi-step RAG, agentic, or tool-augmented workflows Implement governance, safety layers, and responsible AI practices (e.g., guardrails, moderation, auditability) Mentor junior engineers and review GenAI design and implementation plans Drive experimentation, benchmarking, and continuous improvement of GenAI capabilities Collaborate with leadership to align GenAI initiatives with product and business strategy Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS Opensearch Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong exerience in predictive and stastical modelling. Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph . Develop GenAI applications using Hugging Face Transformers, LangChain , and Llama related frameworks Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate techn

Gen AI Engineer Job Description Brightly Software is seeking a high performer to join our Product team in the role of Gen AI engineer to drive best in class client - facing AI features by creating and delivering insights that advise client decisions tomorrow. Role As a Gen AI Engineer , you will play a critical role in building AI offering s for Brightly. Y ou will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster . This will include the following: Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS OpenSearch D evelop GenAI applications using Hugging Face Transformers, LangChain , and Llama related frameworks Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong ex erience in predictive and stastical modelling . Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph . Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate technical concepts clearly to cross-functional and non-technical stakeholders Thrive in a fast-paced, lean environment and contribute to scalable GenAI system design Qualifications Bachelor’s degree is required 2-4 years of experience of total experience with a strong focus on AI and ML and 1+ years in core GenAI Engineer ing Demonstrated expertise in working with large language models (LLMs) and generative AI systems, including both text-based and multimodal models. S trong programming skills in Python, including proficiency with data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and/or PyTorch . Familiarity with MLOps principles and tools for automating and streamlining the ML lifecycle. Experience working with agentic AI . Capable of building Retrieval-Augmented Generation (RAG) pipelines leveraging vector stores like Pinecone, Chroma, or FAISS. St rong programming skills in Python, with experience using leading AI/ML libraries such as Hugging Face Transformers and LangChain . Practical experience in working with vector databases and embedding methodologies for efficient information retrieval. P ossess experience in developing and exposing API endpoints for accessing AI model capabilities using frameworks like FastAPI . Knowledgeable in prompt engineering techniques, including prompt chaining and performance evaluation strategies . Solid grasp of natural language processing (NLP) fundamentals and transformer-based model architectures. Experience in deploying machine learning models to cloud platforms (preferably AWS) and containerized environments using Docker or Kubernetes. Skilled in fine-tuning and assessing open-source models using methods such as LoRA , PEFT, and supervised training. Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Able to operate successfully in a lean, fast-paced organization, and to create a vision and organization that can scale quickly Senior Gen AI Engineer