5118 Tensorflow Jobs - Page 37

Job Description : Machine Learning Engineer LLM, Agentic AI, Computer Vision, and MLOps Location : Ahmedabad Experience : 4 to 6 years Employment Type : Us : Responsibilities Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, Computer Vision, MLOps, and pushing the boundaries of Agentic AI, wed love to have you on Responsibilities : Research and Development: Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases. Model Optimization: Fine-tune and optimize pre-trained models, ensuring performance, scalability, and minimal latency. Computer Vision: Build and deploy vision models for object detection, classification, OCR, and segmentation. Integration: Work closely with software and product teams to integrate models into production-ready applications. Data Engineering: Develop robust data pipelines for structured, unstructured (text/image/video), and streaming data. Production Deployment: Deploy, monitor, and manage ML models in production using DevOps and MLOps practices. Experimentation: Prototype and test new AI approaches such as reinforcement learning, few-shot learning, and generative AI. DevOps Collaboration: Collaborate with the DevOps team to ensure CI/CD pipelines, infrastructure-as-code, and scalable deployments are in place. Technical Mentorship: Support and mentor junior ML and data : Core Technical Skills Strong Python skills for machine learning and computer vision. Hands-on experience with PyTorch, TensorFlow, Hugging Face, Scikit-learn, OpenCV. Deep understanding of LLMs (e.g., GPT, BERT, T5) and Computer Vision architectures (e.g., CNNs, Vision Transformers, YOLO, R-CNN). Strong knowledge of NLP tasks, image/video processing, and real-time inference. Experience in cloud platforms: AWS, GCP, or Azure. Familiarity with Docker, Kubernetes, and serverless deployments. Proficiency in SQL, Pandas, NumPy, and data wrangling & MLOps Skills : Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, etc. Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Familiarity with container orchestration and Kubernetes-based ML model deployment. Hands-on experience with ML pipelines and monitoring tools: MLflow, Kubeflow, TFX, or Seldon. Understanding of model versioning, model registry, and automated testing/validation in ML workflows. Exposure to observability and logging frameworks (e.g., Prometheus, Grafana, ELK Skills (Good to Have) : Knowledge of Agentic AI systems and use cases. Experience with generative models (e.g., GANs, VAEs) and RL-based architectures. Prompt engineering and fine-tuning for LLMs in specialized domains. Working with vector databases (e.g., Pinecone, FAISS, Weaviate). Distributed data processing using Apache Spark, Skills : Strong foundation in mathematics, including linear algebra, probability, and statistics. Deep understanding of data structures and algorithms. Comfortable handling large-scale datasets, including images, video, and multi-modal Skills : Strong analytical and problem-solving mindset. Excellent communication skills for cross-functional collaboration. Self-motivated, adaptive, and committed to continuous learning (ref:hirist.tech)

Summary Understands complex and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the definition, implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its usefull lifecycle. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Independently set strategy, manage budget, ensuring appropriate staffing and coordinating projects within the area supervised. If managing a team: empowers the team and provides guidance and coaching, with limited guidance from more senior managers. About The Role Position Title: Associate Director Data Science Location – Hyd-India Hybrid About The Role We are seeking a highly skilled Data Science Architect to design and implement cutting-edge Data Science / Generative AI (GenAI) solutions tailored for the pharmaceutical and life sciences industry . This role will be responsible for defining AI strategies, selecting and fine-tuning generative AI models, and ensuring seamless integration with enterprise systems to enhance drug discovery, clinical trials, regulatory compliance, and patient-centric solutions. The AI/GenAI Architect will collaborate closely with data scientists, engineers, and business stakeholders to develop scalable, compliant, and high-performance AI applications that leverage large language models (LLMs), multimodal AI, and AI-driven automation . Your Responsibilities Include But Are Not Limited To GenAI Strategy & Roadmap: Define and implement a generative AI architecture and roadmap aligned with business goals in pharma and life sciences. Solution Design: Architect scalable GenAI solutions for drug discovery, medical writing automation, clinical trials, regulatory submissions, and real-world evidence generation. LLM Development & Optimization: Work with data scientists and ML engineers to develop, fine-tune, and optimize large language models (LLMs) for life sciences applications, such as scientific literature analysis, regulatory intelligence, and patient engagement. Cloud & On-Prem AI Infrastructure: Design GenAI solutions leveraging cloud platforms (AWS, Azure, GCP) or on-premise infrastructure while ensuring data security and regulatory compliance. MLOps & Deployment: Implement best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments. Compliance & Governance: Ensure GenAI solutions comply with regulatory standards (FDA, EMA, GDPR, HIPAA, GxP, 21 CFR Part 11) and adhere to responsible AI principles, including bias mitigation and explainability. Performance Optimization: Drive efficiency in generative AI models, ensuring cost optimization and scalability while maintaining data integrity and compliance. Stakeholder Collaboration: Work with cross-functional teams, including platform teams, and Drug Development teams, to align GenAI initiatives with enterprise and industry-specific requirements. Research & Innovation: Stay updated with the latest advancements in GenAI, multimodal AI, AI agents, and synthetic data generation to incorporate emerging technologies into the company’s AI strategy. What You’ll Bring To The Role: Experience in GenAI applications for medical writing, automated clinical trial protocols, drug discovery, and regulatory intelligence. Knowledge of AI explainability, retrieval-augmented generation (RAG), knowledge graphs, and synthetic data generation in life sciences. AI/ML certifications from AWS, Google, or Microsoft. Understanding of biomedical ontologies, semantic AI models, and federated learning. Exposure to fine-tuning the LLM models will be a big plus Exposure to SLM or domain LLM model will be a big plus. BioGPT & PubMedBERT: NLP for biomedical literature and clinical trial analysis. Custom SLMs: Fine-tune Mistral 7B, Phi-2, or Gemma on pharma datasets MLOps & DevOps: Familiarity with CI/CD, containerization (Docker, Kubernetes), vector databases, and real-time model monitoring. Regulatory & Ethical AI: Understanding of AI governance, responsible AI principles, and compliance requirements for GenAI in pharma. Problem-Solving: Strong analytical and problem-solving skills with the ability to design innovative GenAI solutions for life sciences use cases. Communication & Leadership: Excellent communication skills to articulate GenAI strategies and solutions to technical and non-technical stakeholders. Desirable Requirements: Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field. Experience: 8+ years in AI/ML development with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences. Technical Expertise: Strong proficiency in Generative AI, large language models (LLMs), multimodal AI, and deep learning for pharma applications. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, Scikit-learn, etc.). Experience with data engineering, ETL pipelines, and big data technologies (Spark, Kafka, Databricks, etc.). Proficiency in programming languages such as Python, R, or Java. Knowledge of cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI). Deploy a Lightweight LLM in a Pharma SaaS Platform Commitment To Diversity & Inclusion: Novartis embraces diversity, equal opportunity, and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. 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

About The Role Grade Level (for internal use): 10 Responsibilities To work closely with various stakeholders to collect, clean, model and visualise datasets. To create data driven insights by researching, designing and implementing ML models to deliver insights and implement action-oriented solutions to complex business problems To drive ground-breaking ML technology within the Modelling and Data Science team. To extract hidden value insights and enrich accuracy of the datasets. To leverage technology and automate workflows creating modernized operational processes aligning with the team strategy. To understand, implement, manage, and maintain analytical solutions & techniques independently. To collaborate and coordinate with Data, content and modelling teams and provide analytical assistance of various commodity datasets To drive and maintain high quality processes and delivering projects in collaborative Agile team environments. Requirements 7+ years of programming experience particularly in Python 4+ years of experience working with SQL or NoSQL databases. 1+ years of experience working with Pyspark. University degree in Computer Science, Engineering, Mathematics, or related disciplines. Strong understanding of big data technologies such as Hadoop, Spark, or Kafka. Demonstrated ability to design and implement end-to-end scalable and performant data pipelines. Experience with workflow management platforms like Airflow. Strong analytical and problem-solving skills. Ability to collaborate and communicate effectively with both technical and non-technical stakeholders. Experience building solutions and working in the Agile working environment Experience working with git or other source control tools Strong understanding of Object-Oriented Programming (OOP) principles and design patterns. Knowledge of clean code practices and the ability to write well-documented, modular, and reusable code. Strong focus on performance optimization and writing efficient, scalable code. Nice To Have Experience working with Oil, gas and energy markets Experience working with BI Visualization applications (e.g. Tableau, Power BI) Understanding of cloud-based services, preferably AWS Experience working with Unified analytics platforms like Databricks Experience with deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit http://www.spglobal.com/commodity-insights. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 314321 Posted On: 2025-06-19 Location: Hyderabad, Telangana, India

Job Description Join our fast-paced Corporate Oversight and Governance Technology AI/ML team at J.P. Morgan, where your skills and passion will drive innovation and make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and contribute to meaningful projects. As an Applied AI ML Senior Associate within the Corporate Oversight and Governance Technology team, you will solve challenging and impactful problems across a wide range of Corporate functions. You will study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models. Working with the firm’s rich data pool using Python/Spark via AWS, you will derive business insights and present them to non-technical audiences, contributing to stronger business programs and improved efficiency. Job Responsibilities Proactively develop understanding of key business problems and processes. Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups. Required Qualifications, Capabilities, And Skills Formal training or certification in applied AI/ML concepts and 5+ years applied experience Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. Experience with graph analytics and neural networks (PyTorch). Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred Qualifications, Capabilities, And Skills Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). Familiarity with the financial services industry. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

UniAthena is an ed-tech, offering free-learning upskilling courses and Self-Paced Academic Programs in collaboration with European Universities and Awarding Bodies. Over 2.5 Million learners from across 150 countries are pursuing their upskilling journey on the 100% Online, self-paced and 100% automated learning platform. Job Requirement : 3-5 Years of experience in Data Science Strong expertise in statistical modeling, machine learning, deep learning, data warehousing, ETL, and reporting tools. Bachelors/Masters in Data Science, Statistics, Computer Science, Business Intelligence, Experience with relevant programming languages and tools such as Python, R, SQL, Spark, Tableau, Power BI. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn Ability to think strategically and translate data insights into actionable business recommendations. Excellent problem-solving and analytical skills Adability and openesss towards changing environment and nature of work This is a startup environment with evolving systems and procedures, the ideal candidate will be comfortable working in a fast-paced, dynamic environment and will have a strong desire to make a significant impact on the business. Job Roles & Responsibilities: Conduct in-depth analysis of large-scale datasets to uncover insights and trends. Build and deploy predictive and prescriptive machine learning models for various applications. Design and execute A/B tests to evaluate the effectiveness of different strategies. Collaborate with product managers, engineers, and other stakeholders to drive data-driven decision-making. Stay up-to-date with the latest advancements in data science and machine learning.

Job Summary We are looking for a Data Scientist to analyze and interpret complex data sets, uncover patterns, and derive actionable insights. The role involves developing data models and algorithms tailored to project requirements, implementing data validation strategies to ensure data quality, and collaborating with AI/ML engineers to integrate models into the conversion engine system. You will also be responsible for presenting findings and strategic recommendations to stakeholders and leadership. A willingness to experiment and learn from failure is essential to thrive in this fast-paced, innovative environment. Roles & Responsibilities Develop AI-Driven Data Conversion Applications: Utilize AI technologies to build intelligent and scalable data conversion tools. Implement AI-Based Data Mapping :Develop AI algorithms to accurately map data from source to target systems. Automate Code Generation :Use AI models to generate transformation code automatically, improving efficiency. Ensure Data Validation :Apply AI-driven validation techniques to maintain data integrity and quality throughout the pipeline. Facilitate Code Conversion :Implement AI solutions for seamless conversion of code between platforms or formats. Collaborate with Stakeholders :Work closely with data engineers, developers, AI solution engineers, and business analysts to integrate the data conversion system. Monitor & Troubleshoot Applications :Continuously monitor the application and resolve issues to ensure optimal performance. Maintain Documentation :Document methodologies, workflows, and development processes for transparency and continuity. Stay Updated with Emerging Technologies :Keep abreast of the latest trends in AI, data science, and data conversion techniques to enhance the solution stack. Must-Have Skills Bachelor’s or Master’s in: Data Science / Computer Science / Artificial Intelligence Or a closely related field 8+ years of Data Scientist build AI-driven data conversion tools Programming Languages [Python; SQL; Java (optional)] AI/ML Frameworks (TensorFlow; PyTorch; Scikit-learn) AI-Driven Applications (Code Generation; Data Mapping; Data Validation; Code Conversion using AI) Databases (SQL Server; MongoDB) ETL / Data Wrangling (ETL Pipelines; Data Wrangling; Master Data Management) Data Science Concepts (Model Building; Feature Engineering; Data Integrity; AI-Augmented Reconciliation) Bonus/Preferred Cloud & Big Data Tools DevOps Tools Certifications / Domain Knowledge Let me know if you have any questions or require further clarification.

Job Description As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions. Job Responsibilities Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates. Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization. Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques. Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines Advise on the strategy and development of multiple products, applications, and technologies. Lead advisor on the technical feasibility and business need for AIML use cases. Liaise with firm wide AI ML stakeholders. Translate highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well informed decisions about technology advancements. Influence across business, product and technology teams and successfully manages senior stakeholder relationships. champion the firm's culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, And Skills Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise MS and/or PhD in Computer Science, Machine Learning, or a related field At least 10 years’ experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team. Good understanding in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search). Ability to work on system design from ideation through completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners. Practical cloud native experience such as AWS needed. Preferred Qualifications, Capabilities, And Skills Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Advanced knowledge in Reinforcement Learning or Meta Learning. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Job Description You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II - Python with AI/ML, React, AWS & Quantitative Analysis at JPMorgan Chase within the Commercial & Investment Bank, you'll serve as a member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You'll be responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Develop and maintain Python-based applications and tools for the valuation of fixed income and derivatives products. Design and implement machine learning models to enhance product valuation. Work with existing models and AI/ML teams and provide better solutions. Collaborate with Quantitative Analysts to integrate AI/ML solutions into financial models. Optimize existing algorithms and code for performance and scalability. Implement and manage CI/CD pipelines using Jules and GitHub. Develop front-end applications using React for data visualization and user interaction. Utilize AWS services for cloud computing and deployment, ensuring scalability and reliability. Conduct data analysis and visualization to support decision-making processes. Stay updated with the latest trends and technologies in AI/ML, quantitative finance, and cloud computing. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 2+ years applied experience. Proven experience as a Python Developer, with a focus on AI/ML applications. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with quantitative finance libraries such as Quantifi or similar. Experience in developing UI applications using React and Working proficiency in developmental toolsets like GIT/Bit Bucket, JIRA, Maven. Proficiency in automation and continuous delivery methods. Strong analytical skills and problem-solving ability Working knowledge of AWS & certification is must. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Design, deploy, and manage AWS cloud infrastructure using services such as EC2, S3, RDS, Kubernetes, Terraform, Lambda, and VPC. Working knowledge of AWS Glue, AWS Athena & AWS S3. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Proficiency in React for front-end development Excellent problem-solving skills and attention to detail and Ability to work collaboratively in a fast-paced environment. Preferred Qualifications, Capabilities, And Skills Bachelor’s or Master’s degree in computer science or a related field. Strong understanding of Fixed income and Derivatives markets Familiarity with Financial data providers, APIs & reference data Knowledge of statistical analysis and data visualization tools Strong communication skills and ability to present complex information clearly Knowledge of Athena or a similar framework is essential. ABOUT US

Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale data pipelines using DataBricks. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop high-quality code in Python using popular libraries such as Pandas, NumPy, Matplotlib, OpenCV, etc. Participate in code reviews to ensure adherence to coding standards and best practices. Troubleshoot issues related to data processing, machine learning models, and deep learning algorithms. Desired Candidate Profile B.Tech/B.E. degree in Computers or Information Technology from a reputed institution. Strong proficiency in programming languages like Python; hands-on experience with ML frameworks like scikit-learn, TensorFlow, PyTorch. 3-5 years of experience in AI/ML engineering or a related field (Data Science).

We are seeking a Data Scientist with strong expertise in classical machine learning and experience working with automotive datasets. The role focuses on building predictive models, marketing mix analysis, and end-to-end data pipeline development. Experience in marketing analytics is essential. Exposure to Generative AI is a plus, not a requirement. Experience : Min 3 years Industry : Automobile/Automotive(Mandatory) Job location : Mumbai (Andheri- Chakala) Notice period : Max 45 days Budget : upto 18 lacs depending on the current CTC of the candidate hike can be offered 20-25% Key Responsibilities: Develop and deploy ML models (classification, regression, forecasting) for business use cases in the automotive domain. Analyze customer and vehicle data to derive insights for campaigns, retention, and personalization. Implement NLP techniques and marketing mix models for campaign optimization. Build data pipelines to ensure clean and real-time data processing. Collaborate with cross-functional teams to translate insights into strategy. Qualifications: Bachelor’s/Master’s in Computer Science, Data Science, or related field. 3–5 years of experience in ML and marketing analytics. Strong in Python, R, SQL, Azure; experience with scikit-learn, XGBoost, TensorFlow, or PyTorch. Automotive domain experience is mandatory. Familiarity with GenAI tools (OpenAI, LangChain, etc.) is a bonus Interested candidates please share the cvs at astha@hr-central.org or share reference if any #datascientist

The AI Trainer will be responsible for delivering engaging and practical training sessions on Artificial Intelligence to students of the School of Innovation. The role includes designing content, conducting hands-on sessions, mentoring students on real-world AI projects, and staying updated with AI trends and tools. Skills:- TensorFlow, Python and ChatGPT

About Us: We are a Deep Tech AI company at the forefront of innovation, recognized by DPIIT, ISI-Calcutta, and NASSCOM . Our mission is to build cutting-edge solutions powered by Large Language Models (LLMs), Computer Vision, and Machine Learning . With flagship products in Legal AI, Biometric Fraud Prevention, and Geospatial Intelligence, we're scaling rapidly and looking for a visionary CTO to lead our technology roadmap. Role Overview: As the CTO, you will be the driving force behind our technology strategy, product architecture, and engineering execution. You will lead a highly capable team of AI researchers, engineers, and product developers to deliver scalable, secure, and breakthrough deep tech solutions. Key Responsibilities: Technology Strategy & Vision: Define and evolve the company’s technical vision in alignment with business goals. Evaluate and adopt emerging AI/ML trends (especially in LLMs and Computer Vision). Product & Engineering Leadership: Architect and oversee the development of scalable AI systems. Lead the design, development, and deployment of core products in LLMs and Computer Vision. Ensure best practices in AI model development, software engineering, DevOps, and MLOps. Team Building & Management: Mentor and manage engineering, ML, and research teams. Recruit top technical talent and foster a culture of innovation, ownership, and performance. Collaboration & Execution: Work closely with the CEO, product heads, and business leads to translate ideas into reality. Oversee technical partnerships, vendor relationships, and IP development. Required Qualifications: 5–10 years of hands-on experience in AI/ML with a strong foundation in LLMs, NLP, Deep Learning , or Computer Vision . Proven experience building and scaling production-grade AI systems . Strong software architecture, cloud deployment (AWS/GCP/Azure), and data infrastructure skills. Prior experience in a leadership/management role in a startup or product-driven AI company. Expertise with frameworks like TensorFlow, PyTorch, Hugging Face , OpenCV, etc. Strong understanding of data privacy, model explainability, and ethical AI . Preferred Attributes: PhD or Master’s in Computer Science, AI, or a related field. Experience with MLOps tools like MLFlow, Kubeflow, or similar. Published research or open-source contributions in AI/ML/LLM domains. Track record of building and managing tech teams in fast-paced environments. What We Offer: A seat at the leadership table in a fast-growing, impact-driven deep tech company. Generous equity stake and competitive salary. Freedom to experiment, build, and innovate at scale. A high-caliber, mission-driven team working on real-world challenges.

2 yrs Experience with ML frameworks like PyTorch or Tensorflow developing and fine-tuning Large Language Models (LLMs). writing robust code in Python with best practices. REST API development and working with cloud ecosystems (AWS / Azure / GCP).

Position Overview SPIRE (Signal Processing Interpretation and REpresentation) Lab in the Department of Electrical Engineering, Indian Institute of Science, Bengaluru, seeking a highly motivated and talented Postdoctoral Fellow to join our research group under CV Raman Postdoctoral Fellowship to work at the intersection of acoustics, computational physics, and machine learning. The selected candidate will focus on the development and application of physics-informed neural networks (PINNs) for solving forward and inverse problems in acoustics, including time-harmonic and time-domain wave propagation, impedance characterization, and boundary value problems. Key Responsibilities Develop robust and scalable PINN architectures for simulating acoustic wave propagation in 1D, 2D, and 3D geometries. Formulate physics-constrained loss functions using the governing equations of acoustics (e.g., Helmholtz and wave equations). Implement boundary conditions including Dirichlet, Neumann, and Robin types for complex domains. Collaborate with team members on high-performance computing (HPC) or GPU-accelerated implementations of the models. Analyze results and validate models using analytical, numerical, or experimental benchmarks. Publish research findings in peer-reviewed journals and present at international conferences. Assist in mentoring graduate and undergraduate students working in related projects. Required Qualifications Ph.D. in Acoustics, Applied Mathematics, Mechanical/Aerospace Engineering, Computational Physics, or related fields. Strong background in numerical methods (FEM, FDM, BEM, etc.). Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with physics-informed machine learning (PINNs, DeepONets, etc.). Proficiency in scientific computing using Python; knowledge of GPU acceleration is a plus. Good publication record in relevant fields. Strong communication and collaborative skills. Preferred Qualifications Experience in solving forward problems in acoustics. Prior work involving sound wave propagation modeling in complex or inhomogeneous media. Exposure to uncertainty quantification or hybrid physics–data-driven modeling. Duration 2 years (extension subject to year-wise performance) How to Apply Interested applicants should upload the following documents for the initial screening using the link: https://forms.gle/2WEPGS8rfbWhjoFd8 Cover letter detailing relevant experience and research interests CV including list of publications

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe Advertising Cloud Adobe Advertising is a combination of a ‘Demand Side Platform (DSP)’ and a ‘Spend Optimizer’ that helps customers plan, buy, measure, and optimize their digital media (across CTV, Online Video, Display, Search, Social, and Retail Media Networks). We help the largest global advertisers maximize the impact of their paid media budgets by delivering connected and personalized experiences to their consumers. The Opportunity This opportunity is with the Spend Optimizer group. In collaboration with a team of highly motivated data scientists and engineers, you will apply reinforcement learning, time series analysis, bayesian modeling, Gen AI frameworks to optimize ad spends. What you'll Do Technically lead and guide team of skilled machine learning engineers to design and implement ML algorithms/models Collaborate with multi-functional teams to determine technical requirements Develop and deploy scalable machine learning solutions that optimize Adobe’s products and services, deliver value to clients and drive customer adoption Drive innovation through research and experimentation, encouraging an environment where new ideas can thrive Monitor and evaluate the performance of ML models, making vital adjustments to compete at the highest level What you need to succeed Outstanding knowledge of machine learning frameworks and tools such as PyTorch, Tensorflow, Scikit-learn, with strong programming skills in Python Solid understanding of core machine learning and statistics, including Bayesian Modeling, Time Series Analysis, Reinforcement Learning, and Optimization Experience in developing, deploying and maintaining ML models in a production environment Ability to thrive in a collaborative, inclusive, and diverse workplace, embracing different perspectives and ideas Ideal Candidate Profile: A total of 10+ years of experience in an applied Machine Learning setting, delivering cloud-scale, data-driven products, and services PhD or master’s in Computer Science/ Applied Math/Statistics/ related field. Experience and domain expertise in Digital ad technologies is desirable. Comfort with ambiguity, adaptability to evolving priorities, and an ability to influence technical and non-technical collaborators Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Designation: Computer Vision Engineer Location: Noida Experience: 5+ years Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

The Applications Development Senior Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis and programming activities. Responsibilities: Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications Review and analyze proposed technical solutions for projects Contribute to formulation of strategies for applications development and other functional areas Develop comprehensive knowledge of how areas of business integrate to accomplish business goals Provide evaluative judgment based on analysis of factual data in complicated and unique situations Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Qualifications: 8-13 years of relevant experience in the Financial Service industry Experience as Applications Development Manager Experience as senior level in an Applications Development role Stakeholder and people management experience Demonstrated leadership skills Proven project management skills Basic knowledge of industry practices and standards Consistently demonstrates clear and concise written and verbal communication Education: Bachelor’s degree/University degree or equivalent experience Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Technical Qualifications: 8-13 years of relevant experience. Programming Languages: Proficiency in Python or Java for developing machine learning models and applications. Generative AI: Hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face, or similar. Trade Finance Systems: Strong knowledge of Trade Finance processes, including Letters of Credit (LC), Bills, and related workflows. Frontend Development: Strong experience with Angular or React.js for building user interfaces. DevOps: Knowledge of CI/CD pipelines, Docker, and Kubernetes for deploying and managing ML models. Experience in systems analysis and programming of software applications Experience in managing and implementing successful projects Working knowledge of consulting/project management techniques/methods Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Data Scientist II-3 Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses. The Data Science and Analytics team is looking for a Data Scientist II. The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much more. Join our team to make an impact across all sectors of the economy by consistently innovating and problem-solving. The ideal candidate is passionate about leveraging data to provide high quality customer solutions. Also, the candidate is a strong technical leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. Role Manipulates large data sets and applies various technical and statistical analytical techniques (e.g., OLS, multinomial logistic regression, LDA, clustering, segmentation) to draw insights from large datasets. Apply various Machine learning (i.e. SVM, Radom Forest, XGBoost, LightGBM, CATBoost etc), Deep learning techniques (i.e. LSTM, RNN, Transformer etc.) to solve analytical problem statement. Design and implement machine learning models for a number of financial applications including but not limited to: Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data. Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models. Propose creative solutions to existing challenges that are new to the company, the financial industry and to data science. Present technical problems and findings to business leaders internally and to clients succinctly and clearly. Leverage best practices in machine learning and data engineering to develop scalable solutions. Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team Be a strong, confident, and excellent writer and speaker, able to communicate your analysis, vision and roadmap effectively to a wide variety of stakeholders All About You: 3-5 years in data science/ machine learning model development and deployments Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation and credit risk modeling is a plus. A strong understanding of NLP, Statistical Modeling, Visualization and advanced Data Science techniques/methods. Gain insights from text, including non-language tokens and use the thought process of annotations in text analysis. Solve problems that are new to the company, the financial industry and to data science SQL / Database experience is preferred Experience with Kubernetes, Containers, Docker, REST APIs, Event Streams or other delivery mechanisms. Familiarity with relevant technologies (e.g. Tensorflow, Python, Sklearn, Pandas, etc.). Strong desire to collaborate and ability to come up with creative solutions. Additional Finance and FinTech experience preferred. Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics. Corporate Security Responsibility Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security. All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And Therefore, It Is Expected That The Successful Candidate For This Position Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. #AI Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. 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At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Overview We are looking for a highly experienced AI/ML Manager with 7-9 years of hands-on experience in building custom AI/ML utilities to enhance the managed services ecosystem. The role will focus on maximizing GenAI adoption to automate tasks, improve operational efficiency, and reduce manual work. Additionally, you will lead efforts to build custom AI/ML programs tailored to business needs, aimed at driving continuous improvement and increasing automation within managed services, particularly in SAP environments . Key Responsibilities Maximize GenAI adoption to automate repetitive tasks, enhance business processes, and reduce manual intervention across managed services. Lead the design and development of custom AI/ML utilities aimed at automating processes, improving data workflows, and integrating intelligent decision-making into managed services operations. Build and deploy GenAI-based solutions to streamline service operations, focusing on automating decision-making, enhancing customer interactions, and creating operational efficiencies. Work closely with clients to identify opportunities where AI/ML utilities can enhance SAP-managed services, focusing on reducing human intervention in repetitive tasks. Collaborate with cross-functional teams to integrate custom AI models and GenAI-powered tools into existing systems and business workflows. Lead AI projects focused on building tailored AI/ML solutions that drive value for clients through increased automation, efficiency, and reduced operational costs. Develop custom machine learning models for various business use cases such as process optimization, predictive analytics, and automated decision-making within managed services. Focus on scaling and optimizing AI solutions to deliver tangible business outcomes, particularly around reducing manual processes and improving operational speed. Stay ahead of AI/ML advancements, applying emerging technologies to build smarter, more efficient automation tools and frameworks. Required Skills And Qualifications 7-9 years of hands-on experience in AI/ML development, with a proven track record in building custom AI/ML utilities for business operations and managed services. Extensive experience in GenAI technologies (e.g., GPT, BERT, OpenAI) and applying them to real-world business processes to automate tasks and improve decision-making. Strong experience with Python programming for developing AI solutions, automating workflows, and creating custom utilities. Expertise in developing custom AI/ML models for business process automation, predictive analytics, and data-driven decision-making in managed services. Knowledge of cloud-based AI services such as AWS or Azure to build, scale, and deploy AI solutions. Proven ability to work closely with clients to identify AI/ML opportunities, design solutions, and implement them effectively. Experience in building, deploying, and integrating GenAI-based tools to automate and streamline business processes. Strong communication skills, with the ability to translate complex technical concepts into actionable business outcomes for clients. Leadership experience in managing AI/ML teams and projects, driving the development and deployment of AI-powered solutions. Desired Skills And Qualifications Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar for training and deploying custom AI models. Familiarity with Agile methodologies for managing AI/ML projects and working cross-functionally with multiple teams. Strong understanding of data engineering and data pipelines to feed AI models with high-quality, structured data. Exposure to AI ethics, model governance, and best practices in the deployment of AI solutions for business processes. Experience Requirements At least 7-9 years of experience in AI/ML, focusing on building custom AI/ML utilities and maximizing GenAI adoption for business automation and operational efficiency. Experience leading AI/ML projects with a focus on building AI solutions for reducing manual tasks and optimizing business processes. Education Requirements Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. Advanced degrees (e.g., Master’s, PhD) in AI, Machine Learning, or related disciplines are a plus. Relevant AI/ML certifications (e.g., AWS Certified Machine Learning – Specialty, Azure AI certifications) are a plus. Work Environment A dynamic, collaborative team environment with the opportunity to lead AI-driven projects that transform managed services. Hybrid working model with a base in Bangalore, offering flexibility to work from the office and remotely. Cross-functional collaboration with DevOps, automation, and integration teams to ensure seamless AI deployments.

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Title: Data Scientist - Manufacturing Data Solutions Level: Senior Associate Department : Advanced Analytics & Data Science Role Summary As a Data Scientist focused on Manufacturing Data Solutions, you will leverage advanced analytical techniques and machine learning algorithms to transform data into strategic insights that drive business innovation and growth. Your expertise in predictive modeling and statistical analysis will enable you to identify patterns and trends, providing data-driven solutions to complex business challenges. You will create impactful visualizations using tools like Tableau to communicate findings clearly to stakeholders. Key Responsibilities Predictive Modeling and Analysis: Develop predictive models using advanced statistical and machine learning techniques. Conduct time series analysis, classification, and regression to support business objectives. Data Processing and Integration: Utilize Spark, Databricks, or cloud platforms like Azure/AWS for data processing. Ensure seamless data flow from various sources into analytical models. Data Visualization and Communication: Create compelling visualizations using Tableau to convey data insights. Present findings to stakeholders and provide actionable recommendations. Collaboration and Solution Development: Work with cross-functional teams to identify business challenges and develop data-driven solutions. Lead projects to implement innovative data science methodologies. Research And Innovation Stay up-to-date with emerging data science trends and technologies. Explore new techniques and tools to enhance data science capabilities. Mandatory Skills Proficiency in Python, R, SQL, TensorFlow, and PyTorch. Experience with time series analysis, predictive modeling, classification, and regression. Familiarity with Spark, Databricks, or cloud platforms like Azure/AWS. Expertise in creating visualizations with Tableau to convey data insights. Good To Have Skills Interest in exploring new data science trends and technologies. Experience working with cross-functional teams to develop data-driven solutions.

GSK Technologies is a leading technology company specializing in the development and integration of advanced vision systems. We provide innovative solutions to various industries, including manufacturing, automotive, healthcare, and robotics. Our cutting-edge technologies enable our clients to optimize processes, improve efficiency, and enhance product quality. Job Summary: We are seeking a talented and motivated Application Engineer to join our dynamic team. As an Application Engineer specializing in vision systems, you will play a crucial role in the design, development, and implementation of vision-based solutions for our clients. You will work closely with cross-functional teams, including sales, engineering, and product management, to understand customer requirements and deliver tailored solutions that address their unique needs. Responsibilities: Collaborate with sales and product management teams to identify customer requirements and translate them into technical specifications for vision system applications. Design, develop, and implement vision-based solutions using industry-leading technologies and tools. Conduct feasibility studies and proof-of-concept projects to demonstrate the capabilities and benefits of our vision systems. Provide technical support to customers, including troubleshooting, system integration, and training. Collaborate with the engineering team to optimize and enhance existing vision system products. Stay up-to-date with the latest advancements in vision system technologies, industry trends, and best practices. Participate in customer meetings, conferences, and trade shows to showcase our vision system capabilities. Requirements: Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field. Solid understanding of computer vision algorithms, image processing techniques, and machine learning. Proficiency in programming languages such as C++, Python, or LabVIEW. Experience with vision system development tools and frameworks (e.g., OpenCV, TensorFlow, PyTorch). Familiarity with hardware components used in vision systems, including cameras, lenses, and lighting. Strong problem-solving and analytical skills with a keen attention to detail. Excellent communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences. Prior experience in a customer-facing role, providing technical support or solutions, is preferred. Knowledge of industry-specific applications of vision systems (e.g., robotics, quality control, inspection) is a plus. Benefits: Competitive salary and comprehensive benefits package. Opportunity to work on cutting-edge technologies and innovative projects. Collaborative and inclusive work environment. Professional development and training opportunities. Room for growth and advancement within the company. Join our team and contribute to the development of groundbreaking vision systems that shape the future of various industries. Apply now and be part of our exciting journey! Job Types: Full-time, Permanent, Internship Pay: ₹12,460.30 - ₹35,037.77 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Puducherry, Puducherry: Reliably commute or planning to relocate before starting work (Required) Education: Diploma (Required) Experience: Application development: 1 year (Preferred) total work: 1 year (Preferred) Java: 1 year (Preferred) Willingness to travel: 50% (Required) Work Location: In person

Summary Understands complex and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the definition, implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its usefull lifecycle. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Independently set strategy, manage budget, ensuring appropriate staffing and coordinating projects within the area supervised. If managing a team: empowers the team and provides guidance and coaching, with limited guidance from more senior managers. About the Role Position Title: Associate Director Data Science Location – Hyd-India #LI Hybrid About the Role We are seeking a highly skilled Data Science Architect to design and implement cutting-edge Data Science / Generative AI (GenAI) solutions tailored for the pharmaceutical and life sciences industry . This role will be responsible for defining AI strategies, selecting and fine-tuning generative AI models, and ensuring seamless integration with enterprise systems to enhance drug discovery, clinical trials, regulatory compliance, and patient-centric solutions. The AI/GenAI Architect will collaborate closely with data scientists, engineers, and business stakeholders to develop scalable, compliant, and high-performance AI applications that leverage large language models (LLMs), multimodal AI, and AI-driven automation . Your responsibilities include but are not limited to GenAI Strategy & Roadmap: Define and implement a generative AI architecture and roadmap aligned with business goals in pharma and life sciences. Solution Design: Architect scalable GenAI solutions for drug discovery, medical writing automation, clinical trials, regulatory submissions, and real-world evidence generation. LLM Development & Optimization: Work with data scientists and ML engineers to develop, fine-tune, and optimize large language models (LLMs) for life sciences applications, such as scientific literature analysis, regulatory intelligence, and patient engagement. Cloud & On-Prem AI Infrastructure: Design GenAI solutions leveraging cloud platforms (AWS, Azure, GCP) or on-premise infrastructure while ensuring data security and regulatory compliance. MLOps & Deployment: Implement best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments. Compliance & Governance: Ensure GenAI solutions comply with regulatory standards (FDA, EMA, GDPR, HIPAA, GxP, 21 CFR Part 11) and adhere to responsible AI principles, including bias mitigation and explainability. Performance Optimization: Drive efficiency in generative AI models, ensuring cost optimization and scalability while maintaining data integrity and compliance. Stakeholder Collaboration: Work with cross-functional teams, including platform teams, and Drug Development teams, to align GenAI initiatives with enterprise and industry-specific requirements. Research & Innovation: Stay updated with the latest advancements in GenAI, multimodal AI, AI agents, and synthetic data generation to incorporate emerging technologies into the company’s AI strategy. What you’ll bring to the role: Experience in GenAI applications for medical writing, automated clinical trial protocols, drug discovery, and regulatory intelligence . Knowledge of AI explainability, retrieval-augmented generation (RAG), knowledge graphs, and synthetic data generation in life sciences. AI/ML certifications from AWS, Google, or Microsoft. Understanding of biomedical ontologies, semantic AI models, and federated learning . Exposure to fine-tuning the LLM models will be a big plus Exposure to SLM or domain LLM model will be a big plus. BioGPT & PubMedBERT: NLP for biomedical literature and clinical trial analysis. Custom SLMs: Fine-tune Mistral 7B, Phi-2, or Gemma on pharma datasets MLOps & DevOps: Familiarity with CI/CD, containerization (Docker, Kubernetes), vector databases, and real-time model monitoring. Regulatory & Ethical AI: Understanding of AI governance, responsible AI principles, and compliance requirements for GenAI in pharma. Problem-Solving: Strong analytical and problem-solving skills with the ability to design innovative GenAI solutions for life sciences use cases. Communication & Leadership: Excellent communication skills to articulate GenAI strategies and solutions to technical and non-technical stakeholders. Desirable Requirements: Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field. Experience: 8+ years in AI/ML development with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences. Technical Expertise: Strong proficiency in Generative AI, large language models (LLMs), multimodal AI, and deep learning for pharma applications. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, Scikit-learn, etc.). Experience with data engineering, ETL pipelines, and big data technologies (Spark, Kafka, Databricks, etc.). Proficiency in programming languages such as Python, R, or Java. Knowledge of cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI). Deploy a Lightweight LLM in a Pharma SaaS Platform Commitment to Diversity & Inclusion: Novartis embraces diversity, equal opportunity, and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. 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 Operations Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Data and Digital Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Description Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and is of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world’s largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day. Basic Qualifications 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2978163

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering, Manual Testing Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous learning in the rapidly evolving field of artificial intelligence. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the design and implementation of AI-driven applications and systems. - Collaborate with team members to identify and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering. - Strong understanding of AI tools and cloud services. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques. - Knowledge of software development best practices and version control systems. Additional Information: - The candidate should have minimum 3 years of experience in Prompt Engineering. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: Leadership & Management Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment; Drive the roadmap for machine learning projects aligned with business goals; Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. Machine Learning & LLM Expertise Design, develop, and fine-tune LLMs and other machine learning models to solve business problems; Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction; Stay ahead of advancements in LLMs and apply emerging technologies; Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. AWS Cloud Expertise Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.); Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS; Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. Technical Execution Oversee the entire ML lifecycle, from research and experimentation to production and maintenance; Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows; Debug, troubleshoot, and optimize production ML models for performance. Team Development & Communication Conduct regular code reviews and ensure engineering standards are upheld; Facilitate professional growth and learning for the team through continuous feedback and guidance; Communicate progress, challenges, and solutions to stakeholders and senior leadership. Qualifications: Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models); Strong expertise in AWS Cloud Services; Strong experience in ML/AI, including at least 2 years in a leadership role; Hands-on experience with Python, TensorFlow/PyTorch, and model optimization; Familiarity with MLOps tools and best practices; Excellent problem-solving and decision-making abilities; Strong communication skills and the ability to lead cross-functional teams; Passion for mentoring and developing engineers.