1646 Clustering Jobs - Page 17

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Job Description: As a System Administrator at Kyndryl, you’ll solve complex problems and identify potential future issues across the spectrum of platforms and services. You’ll be at the forefront of new technology and modernization, working with some of our biggest clients – which means some of the biggest in the world. There’s never a typical day as a System Administrator at Kyndryl, because no two projects are alike. You’ll be managing systems data for clients and providing day-to-day solutions and security compliance. You’ll oversee a queue of assignments and work directly with technicians, prioritizing tickets to deliver the best solutions to our clients. One of the benefits of Kyndryl is that we work with clients in a variety of industries, from banking to retail. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. You’ll also get the chance to share your expertise by recommending modernization options, identifying new business opportunities, and cultivating relationships with other teams and stakeholders. Does the work get challenging at times? Yes! But you’ll collaborate with a diverse group of talented people and gain invaluable management and organizational skills, which will come in handy as you move forward in your career. Your future at Kyndryl Every position at Kyndryl offers a way forward to grow your career, from Junior System Administrator to Architect. We have opportunities for Cloud Hyperscalers that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. One of the benefits of Kyndryl is that we work with clients in a variety of industries, from banking to retail. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are Job Qualifications: You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Expertise Minimum 4 years’ experience in Distributed Batch Job Operator using TWS Good hands-on experience on Batch Monitoring. Monitor Distributed Batch Jobs using TWS. Create / Modify / configure / delete Jobs based on the received forms. Monitor jobs through its completion. Troubleshoot Jobs and provide required information of job run to the application owners. First level problem determination and co-ordinate with different support teams and drive resolution of issues. Respond to Job abends, understanding of job dependencies, releasing and managing jobs. Knowledge of Job environment schedules, Server clustering, File transfer. Differentiate system and application Messages. Perform System Health check, system maintenance preparations. Willing to work in 24x7 teams Required Skill Mentorship: Mentor and upskill the team members. Roster: Manage & maintain the team roster and schedule. Root Cause analysis: Well versed with Problem management and should be able to work on RCA and track it to closure Regular Document review and validations Procedure Updation. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address. Show more Show less

Introduction n this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets. In This Role, Your Responsibilities May Include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Preferred Education Master's Degree Required Technical And Professional Expertise Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization. Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources. Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities. Hands-on experience with dimensional and relational data modelling techniques to support analytics and reporting requirements Preferred Technical And Professional Experience Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling. Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes. Proficiency in SQL and/or Shell scripting for custom transformations and automation tasks Show more Show less

Description What We’re Looking For: As a AI/ML Lead Engineer at Meltwater, you'll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission. We're seeking a proactive, quick-learning engineer who thrives in a collaborative environment. Our culture values continuous learning, team autonomy, and a DevOps mindset. Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations. With a heavy reliance Software Engineer in AI/ML and Data Science. We seek individuals with experience in Cloud infrastructure and containerisation, Docker, Azure or AWS is required (Azure is preferred). Data Preparation, Model Lifecycle (training, serving and registries) & Natural language Processing (NLP) and LLMs In this role, you'll have the opportunity to push the boundaries of our technology stack, from modifying open-source libraries to innovating with existing technologies. If you're passionate about distributed systems at scale and finding new ways to extract insights from vast amounts of data, we invite you to join us in this exciting journey. What You'll Do: Leading/mentoring a small team while doing hands coding as well. Excellent communication and collaboration skills. What You'll Bring: Bachelor's or master's degree in computer science or equivalent degree or demonstrable experience. Proven experience as a Lead Software Engineer in AI/ML and Data Science. Minimum of 6+ years of working experience. Leadership experience as tech or team lead (2+ Years) Strong knowledge of Python and software engineering principles (5+ Years) Strong knowledge of cloud infrastructure and containerization (5+ Years) Docker is required Azure or AWS is required (Azure is preferred) Strong working knowledge of TensorFlow / PyTorch (5+ Years) Good working knowledge of ML-Ops Principles (3+ Years) Data Preparation Model Lifecycle (training, serving and registries) Good theoretical knowledge of AI / Data Science in one or more of the following areas: Natural language Processing (NLP) and LLMs Neural Networks Topic modelling and clustering Retrieval Augmented Generation Speech to Text Excellent communication and collaboration skills. What We Offer: Enjoy flexible paid time off options for enhanced work-life balance. Comprehensive health insurance tailored for you. Employee assistance programs cover mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being. Complimentary Calm App subscription for you and your loved ones, because mental wellness matters. Energetic work environment with a hybrid work style, providing the balance you need. Benefit from our family leave program, which grows with your tenure at Meltwater. Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. Where You'll Work: HITEC City, Hyderabad. When You'll Join: As per the Offer Letter. Our Story At Meltwater, we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can’t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other’s successes along the way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We’re proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. We love working here, and we think you will too. "Inspired by innovation, powered by people." Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, colour, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world. Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global commercial analytics capability of Pricing Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets. Key tasks & accountabilities Preferred industry exposure CPG, Consulting with 3+ years (in case of consulting the typical profile would be of a Lead consultant with relevant experience mentioned in the point below) Experience of working in the domain of Pricing Analytics Analytics preferred (assessment of the pillars to be made on the past companies of the candidate) “preferably in a CPG organization” with a demonstrated capability of successfully deploying analytics solutions and products for internal or external clients. Has interacted with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning. Product building experience would be a plus. Has experience of working on data manipulation using tools such as excel, Python, SQL. Strong proficiency in Object-Oriented Programming (OOP) principles and design patterns. Good understanding of data structures and algorithms as they relate to machine learning tasks. Experience with version control tools such as Git. Familiarity with MLOPS and containerization tools like Docker would be plus. Consistently display an intent for problem solving Qualifications, Experience, Skills Level Of Educational Attainment Required B.Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA Previous Work Experience Minimum 3 years of relevant experience. Technical Skills required Technical Skills Required Hands-on experience in data manipulation using Excel, Python, SQL. Expert level proficiency in Python(knowledge of writing end-to-end ML or data pipelines in python) Proficient in application of ML concepts and optimizationtechniques to solve end-to-end business problems. Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform. Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to effectively communicate and present information at various levels of an organization Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers Show more Show less

🔹 Position: Senior Middleware Consultant – Oracle WebLogic / OAM / OUD / JBoss (L3) 🔹 Experience: 6+ Years (Relevant Middleware Expertise) 🔹 Location: Delhi (Onsite) Role Summary: We are looking for a Senior Middleware Consultant (L3) with strong hands-on experience in managing and supporting Oracle Middleware components—specifically WebLogic, Oracle Access Manager (OAM), and Oracle Unified Directory (OUD)—along with expertise in JBoss application server administration. The ideal candidate will be responsible for maintaining a stable and optimized middleware environment, ensuring seamless application performance and secure integrations. Key Responsibilities: Full lifecycle administration, configuration, and performance tuning of Oracle WebLogic Server. 1) Setup and manage Oracle Access Manager (OAM) for SSO, Identity Federation, and integration with enterprise apps. 2) Administer Oracle Unified Directory (OUD) – user management, LDAP operations, and replication. 3) Manage and troubleshoot JBoss EAP environments, application deployments, and clustering. 4) Ensure high availability, load balancing, and failover mechanisms across all middleware components. 5) Perform SSL certificate management, keystore/truststore configuration, and secure communication setup. 6) Conduct JVM tuning, thread pool optimization, and log-based debugging in complex environments. 7) Collaborate with infrastructure, application, and security teams to support business services. Additional Skills & Exposure (Preferred): 1) Apache Camel – for routing and integration flows (basic to intermediate) 2) Kafka – event-driven architecture and stream processing (conceptual knowledge) 3) API Gateway platforms (e.g., API3 Scale) – for API security and management 4) ActiveMQ / JMS – understanding of message brokers and integration patterns 5) Shell/Python scripting for automation and operational efficiency Ideal Candidate Profile: 1) Minimum 6 years of relevant experience in Oracle Middleware and JBoss environments 2) Strong analytical and debugging skills in high-availability enterprise setups 3) Experience in complex middleware deployments and production support 4) Excellent communication, documentation, and coordination abilities Qualifications: 1) Bachelor’s degree in Computer Science, Information Technology, or a related field 2) Oracle Middleware certifications (WebLogic, OAM) are a strong plus Work Location: Location: Rohini, Delhi (Onsite) Type: Full-Time, Long-term engagement Joining: Immediate or within 15 Days preferred Show more Show less

Job Description : Automation Engineer with Python and Networking skillset Primary Responsibilities Responsible for understanding your areas wrt automation and work in its end-to-end customer context. Collaborate closely with your agile team, under the guidance of the Test lead and manager to solve problems and drive solutions. Implement automated and manual test cases to ensure maximum test coverage for platforms Define the Automation strategy along with the test lead and plan best suited for a given platform feature Work effectively both within a team and cross-functional team to drive identification and resolution of issues efficiently. Utilize your software design, analysis and programming skills to develop innovative automated test cases and tools to ensure maximum test coverage. Understand the quality life cycle to include: Automation planning, defect analysis and reporting. Effective bug reporting and documenting with ownership driven approach Demonstrate a deep understanding of software development process, demonstrated proficiency in designing Automated test cases and contributing to effective planning. Execute automated and manual tests on platform software and strong analytical skills that can determine root cause when a failure occurs. Knowledge, Skills And Abilities Strong Hands on experience wrt Automation Skills(Python) along with good knowledge of Networking concepts, with a minimum of 3 years test experience. Proficiency in Python Scripting and Object-Oriented Programming Concepts. Minimum of 3 years test automation experience with python is required. Experience in developing, setting up and working with complex test automation framework for parallel test execution on multiple platforms. Knowledge on Hardware clustering, High Availability and Failover systems. Strong understanding on Linux Operating system concepts and file systems. Working experience in Agile based software delivery models. Exposure to CI/CD tools is a plus. Preferably GIT CI/CD pipelines. Knowledge of IP networking: routing, switching, and network standards from layer 1 on up through the transport and application layers. Experience working with platform hardware at a low-level is a plus Creative and innovative problem-solving skills Show more Show less

Design, develop, and deploy AI/NLP solutions to solve diverse business challenges—particularly in areas like text classification, information extraction, summarization, and semantic search Conduct exploratory data analysis and feature engineering Contribute to the development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Validate and monitor solution quality using real-world feedback data Work closely with ML engineers and DevOps teams to operationalize models (on cloud and on-prem environments) Hands-on experience on deploying solutions to cloud-native AI platforms (AWS/Azure/GCP) Collaborate with clients and business stakeholders to scope and refine requirements, validate model behavior, and ensure successful deployment Explore and experiment with LLMs, prompt engineering, and retrieval-augmented generation (RAG) techniques for advanced use cases Contribute to building reusable components, best practices, and scalable frameworks for AI delivery Exeperience of development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Qualifications 3–6 years of hands-on experience in data science, with a focus on NLP, deep learning, and machine learning applications Strong programming skills in Python; experience with relevant libraries such as scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face Proven experience in delivering NLP/LLM-based solutions Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production Ability to handle end-to-end ownership of solutions, from POC to deployment Prior experience in consulting or client-facing data science roles is a plus Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus Show more Show less

Job Description Position Overview At our Company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. Integrated Research and Forecasting (IRF) is a global function encompassing long-range pharmaceutical asset forecasting across the product lifecycles of all assets within Human Health (Oncology, Vaccines, Hospital Specialty / Primary care). Assets include early and late-stage molecules in clinical development, companies under considerations by business development for partnering and/ or acquisition as well as currently launched products. Forecasting deliverables support division planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across divisions, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Manager – Strategic Forecasting”. We are looking for a team member within strategic forecasting team based out of Pune. Robust forecasting is a priority for businesses, as the product potential has major implications to a wide range of disciplines. While forecasting of realistic potential can be arrived through both qualitative and quantitative methods, the challenge lies in selecting and deploying the right methodology. Thus, it is essential to have someone who understands and aspires to implement advanced analytics techniques such as Monte Carlo simulations, agent-based modeling, conjoint frameworks, NLP, clustering etc. within forecasting vertical. Primary Responsibilities Include, But Are Not Limited To Responsible for one/multiple therapy areas – demonstrating good pharmaceutical knowledge and project management capability Responsible for conceptualizing and delivering forecasts and analytical solutions, using both strategic as well as statistical techniques within area of responsibility Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/ opportunity/uncertainty - identify and elevate key forecasting levers/insights/findings to inform decision making Collaborate across stakeholders – our Manufacturing Division, Human Health, Finance, Research, Country, and senior leadership – to build and robust assumptions, ensuring forecast accuracy improves over time to support decision making Drive innovation and automation to bring in robustness and efficiency gains in forecasting/process; incorporate best-in-class statistical forecasting methods to improve the accuracy Communicate effectively across stakeholders and proactively identify and resolve conflicts by engaging with relevant stakeholders Responsible for delivery of forecasts in a timely manner with allocated resources Determine the optimal method for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline available Contribute in evolving our offerings through innovation, standardization/ automation of various offerings, models and processes Qualification And Skills Engineering / Management / Pharma post-graduates with 3+ years of experience in the relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analytics Proven ability to work collaboratively across large and diverse functions and stakeholders Ability to manage ambiguous environments, and to adapt to changing needs of business Strong analytical skills; an aptitude for problem solving and strategic thinking Working knowledge of Monte Carlo simulations and range forecasting Ability to synthesize complex information into clear and actionable insights Proven ability to communicate effectively with stakeholders Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions We are driven by our purpose to develop and deliver innovative products that save and improve lives. With 69,000 employees operating in more than 140 countries, we offer state of the art laboratories, plants and offices that are designed to Inspire our employees as we learn, develop and grow in our careers. We are proud of our 125 years of service to humanity and continue to be one of the world’s biggest investors in Research & Development. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Animal Vaccination, Business Analysis, Business Management, Decision Making, Forecasting Models, Marketing, Numerical Analysis, Pharmaceutical Development, Product Commercialization, Project Management, Stakeholder Communications, Stakeholder Negotiations, Stakeholder Relationship Management, Strategic Forecasting, Strategic Planning, Veterinary Medicine, Veterinary Pathology, Waterfall Model Preferred Skills Job Posting End Date 07/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R353255 Show more Show less

Design, develop, and deploy AI/NLP solutions to solve diverse business challenges—particularly in areas like text classification, information extraction, summarization, and semantic search Conduct exploratory data analysis and feature engineering Contribute to the development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Validate and monitor solution quality using real-world feedback data Work closely with ML engineers and DevOps teams to operationalize models (on cloud and on-prem environments) Hands-on experience on deploying solutions to cloud-native AI platforms (AWS/Azure/GCP) Collaborate with clients and business stakeholders to scope and refine requirements, validate model behavior, and ensure successful deployment Explore and experiment with LLMs, prompt engineering, and retrieval-augmented generation (RAG) techniques for advanced use cases Contribute to building reusable components, best practices, and scalable frameworks for AI delivery Experience of development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Qualifications 3–6 years of hands-on experience in data science, with a focus on NLP, deep learning, and machine learning applications Strong programming skills in Python; experience with relevant libraries such as scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face Proven experience in delivering NLP/LLM-based solutions Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production Ability to handle end-to-end ownership of solutions, from POC to deployment Prior experience in consulting or client-facing data science roles is a plus Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus Show more Show less

Location Name: Roha Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties And Responsibilities  Build Stress Testing Framework and execute the same  Develop, validate, and execute Stress Testing Tools and Stress Testing Engine  Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines  Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses  Support any adhoc deep dive data analysis on portfolio metrices  Support in Data analysis and segmentations.  Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design Algorithms that should be used in model building Business interpretation of statistical models Model Monitoring results and it’s interpretation Major Challenges Updated on new statistical modeling methods Writing efficient SQL and Python queries Incorporate the regulatory changes, as and when announced Liasing with IT and other teams to get models implemented in the systems Qualifications Required Qualifications and Experience B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages: SAS, SQL, R, Python. Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking an experienced Solution Architect/Business Development Manager with expertise in AI/ML to drive business growth and deliver innovative solutions. The successful candidate will be responsible for assessing client business requirements, designing technical solutions, recommending AI/ML approaches, and collaborating with delivery organizations to implement end-to-end solutions. What You'll Be Doing Key Responsibilities: Business Requirement Analysis: Assess client's business requirements and convert them into technical specifications that meet business outcomes. AI/ML Solution Design: Recommend the right AI/ML approaches to meet business requirements and design solutions that drive business value. Opportunity Sizing: Size the opportunity and develop business cases to secure new projects and grow existing relationships. Solution Delivery: Collaborate with delivery organizations to design end-to-end AI/ML solutions, ensuring timely and within-budget delivery. Costing and Pricing: Develop costing and pricing strategies for AI/ML solutions, ensuring competitiveness and profitability. Client Relationship Management: Build and maintain strong relationships with clients, understanding their business needs and identifying new opportunities. Technical Leadership: Provide technical leadership and guidance to delivery teams, ensuring solutions meet technical and business requirements. Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends. Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to ensure successful project delivery. Requirements: Education: Master's degree in Computer Science, Engineering, or related field Experience: 10+ years of experience in AI/ML solution architecture, business development, or a related field Technical Skills: Strong technical expertise in AI/ML, including machine learning algorithms, deep learning, and natural language processing. Technical Skills: Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Technical Skills: Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Hyperscaler: Experience with cloud-based AI/ML platforms and tools (e.g., AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform) Softskill: Excellent business acumen and understanding of business requirements and outcomes Softskill: Strong communication and interpersonal skills, with ability to work with clients and delivery teams Business Acumen: Experience with solution costing and pricing strategies with Strong analytical and problem-solving skills, with ability to think creatively and drive innovation Nice to Have: Experience with Agile development methodologies Knowledge of industry-specific AI/ML applications (e.g., healthcare, finance, retail) Certification in AI/ML or related field (e.g., AWS Certified Machine Learning – Specialty) Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Position General Duties and Tasks: Participate in research, design, implementation, and optimization of Machine learning Models Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products Understanding of Revenue Cycle Management processes like Claims filing and adjudication Hands on experience in Python Build data ingest and data transformation platform Identify transfer learning opportunities and new training datasets Build AI models from scratch and help product managers and stakeholders understand results Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Deploying models to production Create APIs and help business customers put results of your AI models into operations JD Education Bachelor’s in computer sciences or similar. Skills hands on programming experience working on enterprise products Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab. Knowledge in Deep Learning/Machine learning, Artificial Intelligence Experience in building AI models using algorithms of Classification & Clustering techniques Expertise in visualizing and manipulating big datasets Strong in MS SQL Acumen to take a complex problem and break it down to workable pieces, to code a solution Excellent verbal and written communication skills Ability to work in and define a fast pace and team focused environment Proven record of delivering and completing assigned projects and initiatives Ability to deploy large scale solutions to an enterprise estate Strong interpersonal skills Understanding of Revenue Cycle Management processes like Claims filing and adjudication is a plus Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking an experienced Solution Architect/Business Development Manager with expertise in AI/ML to drive business growth and deliver innovative solutions. The successful candidate will be responsible for assessing client business requirements, designing technical solutions, recommending AI/ML approaches, and collaborating with delivery organizations to implement end-to-end solutions. What You'll Be Doing Key Responsibilities: Business Requirement Analysis: Assess client's business requirements and convert them into technical specifications that meet business outcomes. AI/ML Solution Design: Recommend the right AI/ML approaches to meet business requirements and design solutions that drive business value. Opportunity Sizing: Size the opportunity and develop business cases to secure new projects and grow existing relationships. Solution Delivery: Collaborate with delivery organizations to design end-to-end AI/ML solutions, ensuring timely and within-budget delivery. Costing and Pricing: Develop costing and pricing strategies for AI/ML solutions, ensuring competitiveness and profitability. Client Relationship Management: Build and maintain strong relationships with clients, understanding their business needs and identifying new opportunities. Technical Leadership: Provide technical leadership and guidance to delivery teams, ensuring solutions meet technical and business requirements. Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends. Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to ensure successful project delivery. Requirements: Education: Master's degree in Computer Science, Engineering, or related field Experience: 10+ years of experience in AI/ML solution architecture, business development, or a related field Technical Skills: Strong technical expertise in AI/ML, including machine learning algorithms, deep learning, and natural language processing. Technical Skills: Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Technical Skills: Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Hyperscaler: Experience with cloud-based AI/ML platforms and tools (e.g., AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform) Softskill: Excellent business acumen and understanding of business requirements and outcomes Softskill: Strong communication and interpersonal skills, with ability to work with clients and delivery teams Business Acumen: Experience with solution costing and pricing strategies with Strong analytical and problem-solving skills, with ability to think creatively and drive innovation Nice to Have: Experience with Agile development methodologies Knowledge of industry-specific AI/ML applications (e.g., healthcare, finance, retail) Certification in AI/ML or related field (e.g., AWS Certified Machine Learning – Specialty) Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Project Role : BI Architect Project Role Description : Build and design scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. Create industry and function data models used to build reports and dashboards. Ensure the architecture and interface seamlessly integrates with Accentures Data and AI framework, meeting client needs. Must have skills : SAS Base & Macros Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a SAS BASE & MACROS, you will be responsible for building and designing scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. You will create industry and function data models used to build reports and dashboards, ensuring seamless integration with Accentures Data and AI framework to meet client needs. Roles & Responsibilities: 1.Data Engineer to lead or drive the migration of legacy SAS data preparation jobs to a modern Python-based data engineering framework. 2. Should have deep experience in both SAS and Python, strong knowledge of data transformation workflows, and a solid understanding of database systems and ETL best practices. 3.Should analyze existing SAS data preparation and data feed scripts and workflows to identify logic and dependencies. 4.Should translate and re-engineer SAS jobs into scalable, efficient Python-based data pipelines. 5.Collaborate with data analysts, scientists, and engineers to validate and test converted workflows. 6.Optimize performance of new Python workflows and ensure data quality and consistency. 7.Document migration processes, coding standards, and pipeline configurations. 8.Integrate new pipelines with google cloud platforms as required. 9.Provide guidance and support for testing, validation, and production deployment Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Base & Macros - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have 8+ years of exp with min 3 years of exp in SAS or python Data engineering Show more Show less

About The Opportunity We operate at the forefront of India’s Artificial Intelligence & Enterprise Software Solutions sector, building production-grade, large-language-model (LLM) applications that power real-time search, recommendation, and decision-support systems for Fortune-500 clients. Our fully remote engineering pods in Mumbai and Pune transform cutting-edge GenAI research into scalable business value while nurturing a culture of ownership, learning, and rapid iteration. Role & Responsibilities Design and ship GenAI products that fuse Retrieval-Augmented Generation (RAG) with LangChain/LangGraph pipelines for chatbots, semantic search, and agentic workflows. Implement vector-based retrieval by orchestrating FAISS-backed indexes, chunking strategies, and prompt-engineering playbooks that boost LLM precision and recall. Prototype and harden ML models (classification, regression, clustering) in Scikit-learn or PyTorch, then productionise via micro-checkpointing (MCP) and CI/CD. Instrument agentic behaviours that call external tools/APIs, manage memory, and evaluate reasoning traces for safety and ROI. Collaborate cross-functionally with product, design, and MLOps to translate business stories into measurable AI metrics and A/B experiments. Author technical docs & knowledge share to uplevel team expertise in GenAI best practices and responsible-AI compliance. Skills & Qualifications Must-Have 3–7 yrs hands-on experience building LLM-powered applications with LangChain and/or LangGraph. Proven mastery of FAISS (or Pinecone/Weaviate) for vector search, plus solid understanding of embeddings and cosine-similarity maths. Strong foundation in machine-learning algorithms—classification, regression, and model evaluation—with production code in Scikit-learn or equivalent. Ability to craft, debug, and optimise prompt engineering & chunking strategies that minimise token cost while maximising answer quality. Fluency in Python; familiarity with software-engineering best practices (Git, unit tests, Docker, MCP-style model checkpoints). Excellent written and verbal communication skills to explain complex GenAI concepts to technical and non-technical stakeholders. Preferred Experience designing agentic frameworks (tool-calling, planning-&-execution loops, reflection) for autonomous task chains. Prior contribution to open-source GenAI libraries or research publications. Exposure to data-pipeline tooling such as Airflow, Spark, or cloud-agnostic serverless runtimes. Skills: GenAI,LangChain,LLM,LangGraph,FAISS,MCP,Agentic,Machine Learning,Classification,Regression,ScikitLearn Show more Show less

About The Opportunity We operate at the forefront of India’s Artificial Intelligence & Enterprise Software Solutions sector, building production-grade, large-language-model (LLM) applications that power real-time search, recommendation, and decision-support systems for Fortune-500 clients. Our fully remote engineering pods in Mumbai and Pune transform cutting-edge GenAI research into scalable business value while nurturing a culture of ownership, learning, and rapid iteration. Role & Responsibilities Design and ship GenAI products that fuse Retrieval-Augmented Generation (RAG) with LangChain/LangGraph pipelines for chatbots, semantic search, and agentic workflows. Implement vector-based retrieval by orchestrating FAISS-backed indexes, chunking strategies, and prompt-engineering playbooks that boost LLM precision and recall. Prototype and harden ML models (classification, regression, clustering) in Scikit-learn or PyTorch, then productionise via micro-checkpointing (MCP) and CI/CD. Instrument agentic behaviours that call external tools/APIs, manage memory, and evaluate reasoning traces for safety and ROI. Collaborate cross-functionally with product, design, and MLOps to translate business stories into measurable AI metrics and A/B experiments. Author technical docs & knowledge share to uplevel team expertise in GenAI best practices and responsible-AI compliance. Skills & Qualifications Must-Have 3–7 yrs hands-on experience building LLM-powered applications with LangChain and/or LangGraph. Proven mastery of FAISS (or Pinecone/Weaviate) for vector search, plus solid understanding of embeddings and cosine-similarity maths. Strong foundation in machine-learning algorithms—classification, regression, and model evaluation—with production code in Scikit-learn or equivalent. Ability to craft, debug, and optimise prompt engineering & chunking strategies that minimise token cost while maximising answer quality. Fluency in Python; familiarity with software-engineering best practices (Git, unit tests, Docker, MCP-style model checkpoints). Excellent written and verbal communication skills to explain complex GenAI concepts to technical and non-technical stakeholders. Preferred Experience designing agentic frameworks (tool-calling, planning-&-execution loops, reflection) for autonomous task chains. Prior contribution to open-source GenAI libraries or research publications. Exposure to data-pipeline tooling such as Airflow, Spark, or cloud-agnostic serverless runtimes. Skills: GenAI,LangChain,LLM,LangGraph,FAISS,MCP,Agentic,Machine Learning,Classification,Regression,ScikitLearn Show more Show less

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: Sr. Data Scientist Experience: 4–8 Years Job Type: Full-time We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities Design and implement RAG pipelines using LangChain and LangGraph. Integrate AWS Open Source Vector Databases (e.g., OpenSearch with KNN plugin). Handle complex query chaining, prompt orchestration. Work with graph-based knowledge representations (e.g., Neo4j, Stardog). Collaborate with teams to deliver scalable GenAI solutions. Required Skills Proficiency in LLMs, LangChain, and embeddings. Strong background in classification, regression, clustering, and NLP. Knowledge of AWS and DevOps (Docker, Git). Hands-on with FastAPI, model deployment workflows. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Show more Show less

Freelance Opportunity: Statistician – Predictive Modeling & Advanced Analytics (Remote | ₹70,000/month) 📅 Duration: 3-Month Contract (Renewable) 💰 Compensation: ₹70,000/month (net, based on deliverables) We’re hiring a freelance statistician who loves building powerful predictive models using advanced statistical and machine learning techniques. If you’re skilled in Bayesian modeling , clustering algorithms , and discrete choice models , and enjoy solving complex real-world problems, we’d love to work with you! 🔍 What You'll Work On: Bayesian probabilistic models (PyMC3, Stan, etc.) Advanced regression (GLM, regularized, hierarchical) Clustering algorithms: AHC, KNN, LCA, SVM, SOM Discrete Choice Modeling: MNL, Nested Logit, Mixed Logit ML techniques for prediction, segmentation, classification Clear documentation and delivery of code + insights ✅ What We’re Looking For: Postgrad in Statistics, or Mathematics field - This is a must have, preferably from ISI or such Institutes. Strong in Python and/or R (esp. NumPy, pandas, scikit-learn) Practical experience with Bayesian tools, ML libraries Bonus if you’ve worked in consumer research or behavior modeling Self-driven, reliable, and outcome-focused 📌 How It Works: Remote, freelance contract Work independently with regular check-ins Monthly payment based on pre-agreed deliverables Show more Show less

Job Title: Content Manager (SEO & Conversion) Location: Gurgaon, India Experience Required: 5+ years Type: Full-time About PlanetSpark PlanetSpark is on a mission to build the next generation of confident speakers and creative writers amongst kids and young adults. We are a Series B-funded, global company impacting over 13 countries through live 1:1 personalized classes on Public Speaking and Creative Writing through handpicked top 1% teachers. Our kids participate in gripping debates, create viral YouTube videos, start their own podcast channels, perform stand-up comedy, write nail-biting mystery stories, and become confident and fearless speakers. We are backed by some top VCs such as Prime Venture Partners and global entrepreneurs such as Binny Bansal, Deep Kalra, Gokul Rajaram, and Shirish Nandkarni. Why this role exists Organic growth is one of PlanetSpark’s strongest levers—and great content powers that engine. Reporting to the Senior Manager, Search Engine Marketing (SEO), you will create, optimise, and scale high-intent content that ranks, engages, and converts. You’ll spend part of your week writing flagship pieces yourself and the rest coaching a team of 5-6 writers while deploying AI workflows to multiply output—without sacrificing originality or quality . What you will do Own the editorial roadmap • Build and maintain a rolling 3-month calendar that aligns with keyword opportunities, funnel stages, and product launches. Write and edit • Personally craft high-stakes articles, landing pages, and email sequences; set the quality bar for the team. Lead a team of 5-6 writers • Recruit, brief, coach, and review work from in-house and freelance writers; enforce brand voice, E-E-A-T, and SEO standards. Leverage AI—responsibly • Design prompt libraries, fine-tuned templates, and QA checklists that let writers use LLMs for research, outlines, and first drafts—while guaranteeing human originality and zero plagiarism. • Pilot AI-driven tools for keyword clustering, SERP gap analysis, and content optimisation; measure time saved and quality maintained. Optimise for search & conversion • Implement on-page SEO (titles, headers, internal links, schema) and weave compelling CTAs that drive demos and trials. Cross-functional collaboration • Sync with Product, Design, and Growth on product-led SEO initiatives, feature launches, and visual assets. What success looks like (first 12 months) Publish a steady cadence of 10+ intent-matched pieces per person per week with <5 % revision rate. Deliver ≥ 30 % uplift in organic sessions from content hub pages. Achieve ≥ 15 % increase in lead-to-demo conversions from content CTAs. Cut average draft-to-publish time by 40 % through AI-assisted workflows—while maintaining zero plagiarism incidents. Must-have experience & skills 4–7 years in content management, editorial, or growth marketing for a high-growth SaaS, ed-tech, or B2C brand. Demonstrable ability to turn keyword research and SERP analysis into clear editorial strategies. Strong writing and editing chops; comfortable giving actionable feedback to writers and designers. Hands-on SEO knowledge: meta tags, schema, internal linking, Core Web Vitals basics. Proven use of AI/LLMs (ChatGPT, Claude, Jasper, etc.) for content ideation, outline generation, or optimisation—plus the rigor to enforce originality checks (e.g., originality.ai, Copyscape, Turnitin). Familiarity with GA4, GSC, Ahrefs/SEMrush, basic spreadsheet or SQL skills for performance tracking. Excellent communicator who can balance user empathy with business objectives. Nice-to-have Experience scaling programmatic or product-led SEO content. Background in K-12 or adult learning domains. Basic HTML/CMS familiarity (Webflow, WordPress, headless CMS). Exposure to prompt engineering, embeddings, or custom LLM fine-tuning. Show more Show less

Job Description for Data Science facilitator Position Overview: We are searching for a highly skilled and proficient Data Science Facilitator for online upskilling courses in the field of data science. The facilitator will play a pivotal role in delivering comprehensive modules on cutting-edge data science topics, including machine learning, artificial intelligence, deep learning, web development, and more. The ideal candidate should possess a strong grasp of data science principles, technologies, and practical applications, coupled with exceptional communication and instructional abilities. Staying updated with the latest advancements in data science and effectively communicating these concepts to course participants is a fundamental aspect of this role. Responsibilities: Curriculum Development and Delivery: Develop and present engaging training modules that cover advanced data science topics, catering to learners' varying levels of proficiency. Deliver insightful content on subjects such as machine learning algorithms, artificial intelligence frameworks, deep learning architectures, and web development techniques. Technical skills: Programming Language: Python AI & Data analysis Packages/Framework: Numpy, Pandas, Seaborn, Sklearn, TensorFlow & Keras Knowledge of Natural Language Processing /Computer Vision will add an advantage. Customization of Learning Material: Tailor existing course materials or create new content to align with the specific learning requirements and skill levels of diverse participants, spanning from novice learners to experienced data science professionals. Stay Abreast of Industry Trends: Continuously research and monitor the dynamic landscape of data science, including emerging technologies, methodologies, and industry best practices, to ensure that training content remains relevant and up to date. Individualized Mentorship: Provide personalized guidance and support to participants, addressing their inquiries and assisting them in overcoming challenges encountered while mastering data science methodologies. Qualification- 1. M Sc (Computer Science) or 2. MCA (Master in Computer Application) or 3. B Tech or M Tech in Computer Engineering or IT Technical Skills- 1. Programming Language: Python 2. Database: MySQL/Oracle/SQL Server/PostgreSQL SQL (any one) 3. Data Science: Numpy, Pandas, Matplotlib, Seaborn, EDA 4. Machine Learning: Sklearn, ML models for regression, classification, and clustering problems 5. Additional knowledge of the following will be an advantage: Tableau/Power BI Work Experience- 1. Minimum 5 years of teaching experience in relevant domain, however it can be lowered to 3 years for an exceptional candidate. Proven expertise and hands-on experience in data science, particularly in advanced areas like machine learning, artificial intelligence, deep learning, and web development. Exceptional presentation and facilitation skills, with the ability to engage and inspire learners in an online environment. Outstanding verbal and written communication skills, enabling the clear and concise explanation of intricate concepts to diverse audiences. In-depth comprehension of data science principles, tools, techniques, and industry standards. Capability to adapt instructional content based on participants' varying levels of familiarity with data science. Experience in online teaching, curriculum design, and the application of interactive learning tools will be advantageous. Relevant certifications (e.g., Certified Data Scientist, Google TensorFlow Developer, AWS Machine Learning Specialty) would be a plus. Effective problem-solving skills and the ability to address participants' inquiries and obstacles in a constructive manner. High level of professionalism, commitment to maintaining confidentiality, and adherence to ethical standards. Autonomous and collaborative work ethic, proficiently managing time and tasks. Keenness to continually enhance personal knowledge and skills within the evolving realm of data science. You can also email sadafa@regenesys.net Show more Show less

Job Title: AI/ML Engineer Location: Pune, India About the Role: We’re looking for highly analytical, technically strong Artificial Intelligence/Machine Learning Engineers to help build scalable, data-driven systems in the digital marketing space. You'll work alongside a top-tier team on impactful solutions affecting billions of users globally. Experience Required: 3 – 7 years Key Responsibilities: Collaborate across Data Science, Ops, and Engineering to tackle large-scale ML challenges. Build and manage robust ML pipelines (ETL, training, deployment) in real-time environments. Optimize models and infrastructure for performance and scalability. Research and implement best practices in ML systems and lifecycle management. Deploy deep learning models using high-performance computing environments. Integrate ML frameworks into cloud/distributed systems. Required Skills: 2+ years of Python development in a programming-intensive role. 1+ year of hands-on ML experience (e.g., Classification, Clustering, Optimization, Deep Learning). 2+ years working with distributed frameworks (Spark, Hadoop, Kubernetes). 2+ years with ML tools such as TensorFlow, PyTorch, Keras, MLlib. 2+ years experience with cloud platforms (AWS, Azure, GCP). Excellent communication skills. Preferred: Prior experience in AdTech or digital advertising platforms (DSP, Ad Exchange, SSP). Education: M.Tech or Ph.D. in Computer Science, Software Engineering, Mathematics, or a related discipline. Why Apply? Join a fast-moving team working on the forefront of AI in advertising. Build technologies that impact billions of users worldwide. Shape the future of programmatic and performance advertising. Show more Show less

Role- Network data Experience Range- 5-8 Location - Delhi 1.Experience in designing; supporting and implementing IP based networks for large enterprises. 2.Strong knowledge and experience with Cisco Nexus switches,ASRs, ISR and 9000 series ,4500, Catalyst switches etc. 3.Strong knowledge and experience with Cisco routing and switching protocols (ie. BGP,EIGRP, MPLS,QoS, STP, VTP etc.) 4.Configuring Cisco Wireless Access points & controllers and CISCO ISE. 5.Hand-ons Experience with CISCO firewalls and clustering. 6.Experience with analyzing traffic and utilizing packet sniffer utilities (ie. Wireshark, Netscout) 7.Familiarity with management tools such as Solar Winds,ITNM etc. 8.Expertise in LAN and WAN technologies to provide advanced troubleshooting and escalation support 9.Strong documentation skills and ability to create high-level and low-level designs that meet business requirements. 10.Switching and Routing on Cisco products 11.Configuring , troubleshooting of client to site and Site to Site VPNs . 12. SDN technologies like ACI , NSX , SD WAN Cisco Network Engineer Responsibilities: Analysing existing hardware, software, and networking systems. Creating and implementing scalable Cisco networks according to client specifications. Testing and troubleshooting installed Cisco systems. Resolving technical issues with networks, hardware, and software. Performing speed and security tests on installed networks. Applying network security upgrades. Upgrading/replacing hardware and software systems when required. Creating and presenting networking reports. Training end-users on installed Cisco networking products. Cisco Network Engineer Requirements: Bachelor's degree in computer science, networking administration, information technology, or a similar field. CCNA, CCNP certification. At least 5 years' experience as a network engineer. Detailed knowledge of Cisco networking systems. Experience with storage engineering, wide-area networking, and network virtualization. Advanced troubleshooting skills. Ability to identify, deploy, and manage complex networking systems. Good communication and interpersonal skills. Experience with end-user training. Must-Have Products: Cisco Routers, WAAS, Nexus 7k/5k, Cisco Switches, Cisco 65xx, 45xx, 37xx, ACE, WLC, WCS, LWAPPs WAN: IP Routing, Multi-Layer Switching, ACLs, NAT, T1/E1, DS3/OC3 Routing: Cisco 4000 / 4500 / 6500 / 7200 routers, Protocols include RIP, OSPF, ISIS, BGP, MBGP, EIGRP, MPLS, VRF, L3 VPNs, IPSec, VPNs, ACLs, NAT, CoS LAN/Switching: Cisco Catalyst 3500 / 3550 / 3700 / 3900 / 4000 / 6500 series switches, Gigabit Ethernet, 802.1q, ISL, Ether Channel, Multicast, SNMP, VSS, VTP, STP, RSTP, HSRP/VRRP Wireless: 802.1x, WPA/WPA2 and WEP with TKIP / AES Firewall: Cisco ASA 5585-SS50, 5580 and PIX 525. Cisco Firewall Services Module (FWSM) in a single and multi context environment Excellent Communication skill Hands on experience on F5 load balancers Good-to-Have Ability to analyse, configure, and troubleshoot large Cisco Data Center Devices Hands on experience on Cisco hardware w.r.to ports and SFP's details information in case of Nexus switches ITIL certification CCNP Certification Show more Show less

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description: The Future Begins Here: At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity: Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. The Opportunity: As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process. Objectives: Collaborate with different business users, mainly Supply Chain/Manufacturing to understand the current state and identify opportunities to transform the business into a data-driven organization. Translate processes, and requirements into analytics solutions and metrics with effective data strategy, data quality, and data accessibility for decision making. Operationalize decision support solutions and drive use adoption as well as gathering feedback and metrics on Voice of Customer in order to improve analytics services. Understand the analytics drivers and data to be modeled as well as apply the appropriate quantitative techniques to provide business with actionable insights and ensure analytics model and data are access to the end users to evaluate “what-if” scenarios and decision making. Evaluate the data, analytical models, and experiments periodically to validate hypothesis ensuring it continues to provide business value as requirements and objectives evolve. Accountabilities: Collaborates with business partners in identifying analytical opportunities and developing BI-related goals and projects that will create strategically relevant insights. Work with internal and external partners to develop analytics vision and programs to advance BI solutions and practices. Understands data and sources of data. Strategizes with IT development team and develops a process to collect, ingest, and deliver data along with proper data models for analytical needs. Interacts with business users to define pain points, problem statement, scope, and analytics business case. Develops solutions with recommended data model and business intelligence technologies including data warehouse, data marts, OLAP modeling, dashboards/reporting, and data queries. Works with DevOps and database teams to ensure proper design of system databases and appropriate integration with other enterprise applications. Collaborates with Enterprise Data and Analytics Team to design data model and visualization solutions that synthesize complex data for data mining and discovery. Assists in defining requirements and facilitates workshops and prototyping sessions. Develops and applies technologies such as machine-learning, deep-learning algorithm to enable advanced analytics product functionality. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Bachelors’ Degree, from an accredited institution in Data Science, Statistics, Computer Science, or related field. 3+ years of experience with statistical modeling such as clustering, segmentation, multivariate, regression, etc. and analytics tools such as R, Python, Databricks, etc. required Experience in developing and applying predictive and prescriptive modeling, deep-learning, or other machine learning techniques a plus. Hands-on development of AI solutions that comply with industry standards and government regulations. Great numerical and analytical skills, as well as basic knowledge of Python Analytics packages (Pandas, scikit-learn, statsmodels). Ability to build and maintain scalable and reliable data pipelines that collect, transform, manipulate, and load data from internal and external sources. Ability to use statistical tools to conduct data analysis and identify data quality issues throughout the data pipeline. Experience with BI and Visualization tools (f. e. Qlik, Power BI), ETL, NoSQL and proven design skills a plus. Excellent written and verbal communication skills including the ability to interact effectively with multifunctional teams. Experience with working with agile teams. WHAT TAKEDA CAN OFFER YOU: Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people. At Takeda, you take the lead on building and shaping your own career. Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth. BENEFITS: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are Competitive Salary + Performance Annual Bonus Flexible work environment, including hybrid working Comprehensive Healthcare Insurance Plans for self, spouse, and children Group Term Life Insurance and Group Accident Insurance programs Health & Wellness programs including annual health screening, weekly health sessions for employees. Employee Assistance Program 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves Broad Variety of learning platforms Diversity, Equity, and Inclusion Programs Reimbursements – Home Internet & Mobile Phone Employee Referral Program Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days) ABOUT ICC IN TAKEDA: Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization. Li-Hybrid Locations: IND - Bengaluru Worker Type: Employee Worker Sub-Type: Regular Time Type: Full time Show more Show less

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NA Educational Qualification : 15 years full time education Summary: As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Roles & Responsibilities: - Expected to be a SME with deep knowledge and experience. - Should have Influencing and Advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Develop and implement responsible AI frameworks. - Conduct audits and assessments of AI systems for ethical compliance. - Collaborate with cross-functional teams to ensure responsible AI practices are integrated. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Show more Show less

Data Science Subject Matter Expert Experience - 8 - 10 Years US EST hours - 8 AM-5 PM Budget - 45LPA Location Lower Parel, Mumbai (Onsite) Job Requirements: 6 to 7 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) Experience Developing Machine Learning / Data Science models, from coding to deployment 2+ years of experience in teaching or training. 3+ Years of Hands-on Hybrid Development experience preferred. Skills Able to train/mentor/coach in coding (mandatory python and SQL, java or C++) Project Management background preferred. Knowledge of the Consulting/Sales structure. Empathy and service attitude Fast-paced Project Management experience Desirable previous international experience (US, Canada, or Europe) Leading consultants to grow and create tangible benefits and assets. Competencies Mentor / Develop / Train consultants Orientation to results Leadership Main responsibilities of the position Collecting data through means such as analyzing business results or by setting up and managing new studies Transferring data into a new format to make it more appropriate for analysis Build tools to automate data collection Compare and analyze provided statistical information to identify patterns, relationships, and problems Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering Prepare detailed reports for management and other departments by analyzing and interpreting data Train assistants and other members of the team how to properly organize findings and read data collected Design computer code using various languages to improve and update software and applications Refer to previous instances and findings to determine the ideal method for gathering data Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering Prepare detailed reports for management and other departments by analyzing and interpreting data Train assistants and other members of the team how to properly organize findings and read data collected Design computer code using various languages to improve and update software and applications Refer to previous instances and findings to determine the ideal method for gathering data Desired Skills (Including but Not Limited to): Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision Python and SQL coding skills are indispensable Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Ability to compile and organize statistical information retrieved and present findings to management Faculty to work toward multiple deadlines simultaneously Strong problem-solving skills with an emphasis on product development. Certification in a Cloud-Based/Machine Learning service desirable Show more Show less