This role is for one of our clients Industry: Technology, Information and Media Seniority level: Associate level Min Experience: 1 years Location: Bengaluru JobType: full-time We’re looking for a motivated and innovative AI Developer with 1 to 3 years of experience to join our expanding AI team. This role is perfect for those eager to apply AI and machine learning techniques to build impactful, scalable solutions that drive real business value. You will collaborate closely with data scientists, developers, and product owners to bring intelligent capabilities into our products and services. What You’ll Be Doing Develop and deploy AI and machine learning models tailored to solve practical, complex challenges across various business domains. Partner with cross-functional teams to understand project goals, translate requirements into technical solutions, and deliver AI-enhanced features. Utilize popular ML frameworks like TensorFlow, PyTorch, and scikit-learn to build models for prediction, classification, recommendation, and more. Design and optimize deep learning architectures, leveraging large and diverse datasets for maximum performance. Build automated model training, validation, and deployment pipelines to ensure reliability and scalability in production environments. Continuously monitor model outputs, analyze performance metrics, and fine-tune algorithms to improve accuracy and efficiency. Keep abreast of emerging AI trends and research, experimenting with new tools and techniques to enhance current workflows. Collaborate on cloud-based AI infrastructure using AWS, Azure, or Google Cloud to deploy and scale models. Write clear, maintainable code with proper documentation and adhere to software engineering best practices. Who You Are A Bachelor’s or Master’s graduate in Computer Science, AI, Data Science, or a related technical field. 1–3 years of practical experience developing machine learning or AI solutions in a professional setting. Skilled in Python programming with hands-on experience in ML libraries such as TensorFlow, PyTorch, Keras, or scikit-learn. Solid grasp of core concepts in algorithms, data structures, and statistics as they apply to AI and ML. Exposure to specialized domains such as natural language processing (NLP), computer vision, or recommendation systems is highly desirable. Experience in data preprocessing, feature engineering, and robust model evaluation methodologies. Familiarity with software development lifecycle including version control (Git), automated testing, and CI/CD pipelines. Experience working with cloud ML platforms such as Amazon SageMaker, Google AI Platform, or Azure Machine Learning is a plus. Strong analytical mindset and problem-solving skills, with meticulous attention to detail. Excellent communication skills, comfortable collaborating across technical and non-technical teams.

Omega Healthcare Management Services Private Limited TAMIL NADU Posted On 05 Jun 2025 End Date 19 Jun 2025 Required Experience 5 - 8 Years Basic Section No. Of Openings 1 Grade T2 Designation Technology Specialist - Technology Closing Date 19 Jun 2025 Organisational Country IN State TAMIL NADU City CHENNAI Location Chennai-I Skills Skill SDLC PL/SQL SOLUTION ARCHITECTURE JAVA UNIX .NET SOA MICROSOFT SQL SERVER SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Job Description Role : Data Scientist Educational Qualification : ME/BE / MCA Experience Required : 4+ Years Shifts : Day shift Skills & Responsibilities: Experience: 4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks: Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP: Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALL·E, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics: Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment: Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics: Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment: Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

Role & responsibilities We are seeking a skilled Python Developer to join our dynamic team. The ideal candidate will be responsible for developing, maintaining, and improving backend services and applications, ensuring high performance and responsiveness to requests from the front end. If you have a passion for problem-solving, clean code, and scalable applications we want to hear from you! Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Experience with Python frameworks like Django, Flask, or FastAPI. Strong knowledge of RESTful API design and development. Good knowledge of python, DS, Pandas, Scikit, NumPy, TensorFlow, Keras etc. AI/ML exp mandatory Experience working with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB). Experience in data science, machine learning, or DevOps is a plus Direct Walkin to Office / No Online Interview Regards, DLK Groups Building Name : Raahat Plaza, Door No : 68 ,Ground, Arcot Rd, opp.Vijaya Hospital, Vadapalani, Chennai, Tamil Nadu 600026 Job Types: Full-time, Fresher, Internship Contract length: 24 months Pay: ₹200,000.00 - ₹400,000.00 per year Location Type: In-person Work Location: In person Expected Start Date: 16/06/2025

Job Description: Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.

Job Description: We are seeking an AI Developer with a strong background in computer vision, chatbot development, and camera integration. The ideal candidate will have experience in developing machine learning and deep learning solutions. Key Responsibilities: · Develop and implement AI solutions with a focus on computer vision applications, including working with images, videos, and camera integration. · Design and deploy chatbot solutions using advanced machine learning and natural language processing techniques. · Work with Python and relevant libraries (TensorFlow, YOLO, Keras, PyTorch) to create efficient AI models. · Integrate and optimize machine learning models in real-time video processing and camera-based applications. · Collaborate with front-end teams to build seamless user interfaces using HTML, CSS, and JavaScript. · Manage and process large datasets using tools such as Pandas, Numpy, SciPy and other data analysis frameworks. · Work with both SQL and NoSQL databases for AI application support. · Contribute to software architecture, data modeling, and systems design. · Provide solutions that improve the scalability and performance of computer vision projects. · Collaborate with cross-functional teams for end-to-end AI solution delivery. Show more Show less

About this Opportunity It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G network with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity. We are setting up a AI Accelerator Hub in India, to fast-track our strategy execution. Machine Intelligence, the combination of Machine Learning and other Artificial Intelligence technologies is what Ericsson uses to drive thought leadership to automate and transform Ericsson offerings and operations. MI is also a key competence for to enable new and emerging business. This includes development of models, frameworks and infrastructure where we in our advancements push the technology frontiers. We engage in both academic and industry collaborations and drive the digitalization of Ericsson and the Industry by developing state of the art solutions that simplify and automate processes in our products and services and build new value through data insights. Ericsson is now looking for Senior Data Scientists to significantly expand its global team for AI acceleration for our group in Bangalore . Do you have in depth understanding of Machine Learning and AI technologies? Do you want to apply and extend those skills to solve real complex problems with high societal impact; going beyond ML/AI for consumption and advertising? Then, you do want to join Ericsson’s global team of Engineers/Scientists pushing the technology frontiers to automate, simplify and add new value through large and complex data. What you will do As a Senior Data Scientist , you will need to have deep knowledge of data science and Machine Learning tools and technologies backed with strong programming skills to implement them. Your knowledge and experience in Data Science methodologies will be applied to solve challenging real-world problems as part of a highly dynamic and global team. You will work in a highly collaborative environment where you communicate and plan tasks and ideas. You will be working on high impact initiatives with other DS in Machine Intelligence to drive growth and economic profitability for Ericsson and its customers by accelerating current Ericsson offerings. Your contribution will also help to create new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT and other emerging businesses. Key Responsibilities: Lead AI/ML feature/capability in a certain functional area of product/business Define the business metrics of success for AI/ML projects and translate them into model metrics Lead end-to-end development and deployment of Generative AI solutions (e.g., LLMs, diffusion models, RAG pipelines) for enterprise-scale use cases using MLOps platforms like Amazon Sagemaker, Bedrock. Design and implement architectures for vector search, embedding models, and Retrieval-Augmented Generation (RAG) systems using modern frameworks and tools (e.g., FAISS, Pinecone, LangChain). Fine-tune and evaluate large language models (LLMs) for domain-specific tasks such as text summarization, Q&A, content generation, and chat interfaces. Collaborate with product, engineering, and business stakeholders to translate vague problems into concrete Generative AI use cases with measurable impact. Develop secure, scalable, and production-grade AI pipelines for both batch and real-time generative use cases. Ensure ethical and responsible AI practices, including bias detection, explain ability, and content safety in generative outputs. Mentor junior team members in GenAI frameworks, best practices, and model performance tuning. Stay current with research and industry trends in Generative AI, LLMs, prompt engineering, and multimodal AI, applying cutting-edge techniques to business problems. Contribute to internal AI governance, tooling frameworks, and reusable components for accelerating GenAI development across teams. Work with huge datasets including petabytes of 4G/5G-networks, IoT and exogenous data Propose/select/test predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning, computer vision, text mining, reinforcement learning and other ML systems Define the visualization and dashboarding requirements working closely with the business stakeholders Build proof-of-concepts for business opportunities using AI/ML and present them to business Lead functional and technical analysis within Ericsson businesses to define AI/ML driven business opportunities and build appropriate solutions Work with multiple data sources (internal/external as well as structured/unstructured) and apply the right feature engineering to AI based models Lead studies and creative usage of new and/or existing data sources. Work with Data Architects to leverage existing data models and build new ones as needed. What you will bring Minimum Experience Required - 7 years Job Location - Bangalore Bachelors/Masters/Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction. Applied experience: 3+ years of ML and/or AI production level experience Strong Programming skills (R/Python) with proficiency in at least one Proven ability of leading AI/ML projects end-to-end with complete ownership Able to map the business metrics of success for AI/ML projects to model metrics Strong grounding in mathematics, probability, statistics needed for data analysis and experiments Strong hands-on experience with exploratory data analysis and visualization techniques Strong and hands-on in the use of current Machine Learning frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Ability to implement new algorithms and methodologies from leading open source initiatives and research papers Ability to work with semi-structured and unstructured data sets for AI/ML models Strong understanding of building AI models using Deep Neural Networks Strong hands-on experience in implementing a variety of Machine Learning techniques including model selection, validation, regularization and hyperparameter tuning Good Knowledge of using ensembles and stacking techniques to solve complex ML problems Hands on working in Big Data technologies such as Hadoop, Cassandra etc. Able to source data from multiple data sources and combine them appropriately to build ML models. Preferred Qualifications: Good communication skills in written and spoken English Creativity and ability to formulate problems and solve them independently Certifying MI MOOCS, a plus Applications/Domain-knowledge in Telecommunication and/or IoT, a plus. Experience with data visualization and dashboard creation is a plus Knowledge of Cognitive models is a plus Ability to work independently with high energy, enthusiasm and persistence Experience in partnering and collaborative co-creation, i.e., working with complex multiple stakeholder business units, global customers, technology and other ecosystem partners in a multi-culture, global matrix organization with sensitivity and persistence. Show more Show less

POSITION INFORMATION Position Title: Software Engineer – Trainee - India Career Track Position Code: Division/Dept: CDO FLSA: Exempt Date Created/Revised Salary Grade: Summary POSITION SUMMARY AND PRIMARY RESPONSIBILITIES Position Summary : The Software Engineer develops capabilities required to build software systems using various software and cloud technologies. He/She should have strong analytical, problem solving, Software programming, Software Database, ability to create visualization and interaction layer on Web/Windows with good integration with underlying technology framework and computer operating system such as Windows / Unix. F exposure to AI/ML and Data science is an added advantage. Responsibilities Responsibilities : Develop/Build software application / systems based on the design document across Front-end (web/windows), Back-end (.net/java/python) and Database systems Utilize best practices around design, coding, automated unit, regression testing, and deployment of software to production Work effectively in the agile-at-scale framework Clearly communicate status, updates and plan to project leadership Learn, acquire and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data science will be of additional advantage. PEOPLE MANAGEMENT - (Provide approx numbers of direct/indirect reports and indicate exempt/nonexempt employees; the level/degree of supervision provided) Does this position have direct report responsibility? Yes x No If Yes, Number of Exempt and Non-Exempt level employees _____ Exempt _____Non-Exempt Please describe in some detail the level of supervision provided: Report to Project manager or Technical lead or equivalent with general supervision. Required Skills At least one of Java/.Net/Python/NodeJS Good Knowledge of JavaScript At least one of ASP.Net/Angular/ReactJS RDBMS (Oracle/SQL Server/Postgre) and Good Knowledge of SQL Preferable: Knowledge of database management tools like Liquibase / Hibernate Good understanding of Devops (e.g. Azure DevOps) and cloud PaaS. Good understanding of coding standards, ability to debug. Good understanding of Software development lifecycle and processes. Cloud-based (AWS/Azure) deployment of models, performance monitoring and issues troubleshooting Excellent written and oral communication skills Ability to work effectively in a cross-functional team Familiarity with Docker and Git Exposure to AI/ML frameworks in Pythin, Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in Computer Science, Information Technology, Electronics Communication. Other branches of engineering with proven Programming skills demonstrated through projects in Github can also appear. Show more Show less

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Data Scientist Are you ready to shine? At Sun Life, we empower you to be your most brilliant self. Who we are? Sun Life is a leading financial services company with history of 150+ years that helps our clients achieve lifetime financial security and live healthier lives. We serve millions in Canada, the U.S., Asia, the U.K., and other parts of the world. We have a network of Sun Life advisors, third-party partners, and other distributors. Through them, we’re helping set our clients free to live their lives their way, from now through retirement. To do this, we offer a broad range of protection and wealth products and services to individuals, businesses, and institutions, including: Insurance. Life, health, wellness, disability, critical illness, stop-loss, and long-term care insurance. Investments. Mutual funds, segregated funds, annuities, and guaranteed investment products Advice. Financial planning and retirement planning services Asset management. Pooled funds, institutional portfolios, and pension funds Sun Life is a leading financial services company that helps our clients achieve lifetime financial security and live healthier lives, with strong insurance, asset management, investments, and financial advice portfolios. At Sun Life, our asset management business draws on the talent and experience of professionals from around the globe. Sun Life Global Solutions (SLGS) Established in the Philippines in 1991 and in India in 2006, Sun Life Global Solutions, (formerly Asia Service Centers), a microcosm of Sun Life, is poised to harness the regions’ potential in a significant way - from India and the Philippines to the world. We are architecting and executing a BOLDER vision: being a Digital and Innovation Hub, shaping the Business, driving Transformation and superior Client experience by providing expert Technology, Business and Knowledge Services and advanced Solutions. We help our clients achieve lifetime financial security and live healthier lives – our core purpose and mission. We are constantly expanding our strength in Information technology and are looking for fresh talents who can bring ideas and values aligning with our Digital strategy. Our Client Impact strategy is motivated by the need to create an inclusive culture, empowered by highly engaged people. We are entering a new world that focuses on doing purpose driven work. The kind that fills your day with excitement and determination, because when you love what you do, it never feels like work. We want to create an environment where you feel empowered to act and are surrounded by people who challenge you, support you and inspire you to become the best version of yourself. As an employer, we not only want to attract top talent, but we want you to have the best Sun Life Experience. We strive to Shine Together, Make Life Brighter & Shape the Future! Responsibility/Skillsets (Must) Understand and design analytical solutions to Business problems leveraging Data science. Should be able to understand and gather the requirement from Stakeholders. Propose and execute the solution and present the deliverables to Stakeholders. Manage and optimize the deliverables. Mentor and Train new team members. Develop POCs to enhance team’s capability. Skillsets (Must) Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models. Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Use various statistical techniques and ML methods to perform predictive modeling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business. Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Stronghold on Visualization tool libraries in Python like matplotlib, seaborn. Experience with cloud computing infrastructure like Azure, Cosmos DB, PowerBI. Able to develop, test and deploy models on Cloud/Web. Experience in Designing and Deploying Deep Learning Solutions Excellent knowledge of Deep Learning Architectures/Convolutional Neural Networks Excellent knowledge of Supervised Learning, Adversarial Learning Excellent Python Coding Skills Robust working knowledge with deep learning frameworks (like Tensor flow, Keras, PyTorch) Skillsets (Good To Have) BFSI Domain. Experience on Textual Analytics, Web Crawlers, Recommendation Engines Understanding of MLOps Qualifications BE/B. Tech. /MBA/M.Stat./M.Sc. or equivalent degree in Quant. from reputed institute. 5-10 years of relevant experience. Soft Skills Excellent organizational skills and ability to prioritize wide range of tasks Demonstrated initiative and creativity - ability to influence (add value) Strong interpersonal, communication, motivational, organizational and planning skills Job Category: Advanced Analytics Posting End Date: 10/07/2025 Show more Show less

Company Description As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients’ most valued asset-management partner. With over 4,400 employees across 51 locations in 25 countries, our people are our advantage. We foster a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to clients, we’re looking for unique voices to help lead us forward. If you’re ready to challenge your limits and build your future, join us. Describe The Role Day to day responsibilities will include: Conduct asset allocation and manager evaluation research and creating bespoke client portfolios Undertake bespoke requests for data analysis; Build dashboards for data visualization (Python Dash) Handle data collation, cleansing and analysis (SQL, Python) Create new databases using data from different sources, and set up infrastructure for their maintenance; Clean and manipulate data, build models and produce automated reports using Python; Use statistical modelling and Machine Learning to address quantitative problems (Python) Conduct and deliver top notch research projects with quantitative applications to fundamental strategies. Preferred Skill Sets 2+ years of experience of RDBMS database design, preferably on MS SQL Server 2+ years of Python development experience. Advanced skills with programming using any of Python libraries (pandas, numpy, statsmodels, dash, pypfopt, cvxpy, keras, scikit-learn) – Must haves (pandas/numpy/statsmodels) Candidate should be capable of manipulating large quantities of data High level of attention to detail and accuracy Working experience on building quantitative models; experience with factor research, portfolio construction, systematic models Academic qualification in Mathematics/Physics/Statistics/Econometrics/Engineering or related field Understanding of company financial statements, accounting and risk analysis would be an added advantage Strong (English) communication skills with proven ability to interact with global clients Pune, India Show more Show less

Job Title: AI Research Intern – AI/ML Location: Remote (Work from Home)/Hybrid Internship Type: Project-Based | Suitable for Final Semester Students, Dissertation Projects, or Industrial Training Duration:6–8 Weeks Start Date: June 2025 Stipend: Unpaid Registration Fee: ₹5000/- Application Deadline: 10th June 2025 About the Internship: ProwessisAI is offering a Summer Internship 2025 program aimed at final semester students and fresh graduates looking to complete their college projects/dissertations or gain real-world industry experience in cutting-edge domains like AI/ML, Bioinformatics, and Data Science. Interns will work on mentor-guided research projects, develop technical skills, and build a strong academic or professional portfolio aligned with current industry demands. Key Responsibilities: • Work on domain-specific research projects in AI, ML, Bioinformatics, or Data Analysis • Develop and train models using Python or R, TensorFlow, Keras, and relevant libraries • Perform data cleaning, visualization, and statistical analysis • Prepare a detailed project report for academic or professional submission Preferred Skills: • Programming in Python or R • Understanding of Machine Learning & Deep Learning concepts • Experience with TensorFlow / Keras • Familiarity with GitHub and collaborative coding • Basic knowledge of Bioinformatics / Healthcare Data is a plus • Strong interest in applied research and problem-solving Who Can Apply: • Final semester students pursuing BTech / MTech / BCA / MCA / BSc / MSc • Students needing a college project, major/minor dissertation, or industry training • Enthusiasts looking to upskill in real-world, interdisciplinary domains. Perks & Deliverables: • 1:1 Expert Mentorship • Certificate of Completion • Letter of Recommendation (based on performance) • Project Report suitable for academic submission • GitHub-linked portfolio to showcase your work How to Apply: Submit your application here: https://prowessisai.com/internship-and-dissertation/ Contact for Queries: 📞 +91-9591484483 📧 career@prowessisai.in 🌐 www.prowessisai.in Show more Show less

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. 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: 2025-05-19 Location: Hyderabad, Telangana, India Show more Show less

Abstract: Job Description A Machine Learning (ML) Developer is an expert in applying advanced AI/ML algorithms and techniques to solve complex problems, including building, training, and deploying machine learning models. This role focuses on creating and optimizing systems to automate processes such as image classification, speech recognition, market forecasting, and large language model (LLM) fine-tuning. Roles & Responsibilities Machine Learning Development: Design, build, train, and fine-tune machine learning and deep learning models, particularly in the context of large language models (LLMs). Data Pipeline Creation: Develop and manage efficient data pipelines for data preprocessing and feature engineering. MLOps Implementation: Create CI/CD pipelines to automate the deployment, monitoring, and updating of ML models in production environments. LLM Fine-Tuning: Fine-tune LLMs for specific applications and domains, leveraging frameworks like Hugging Face and open-source LLMs. Model Evaluation: Regularly evaluate model performance, accuracy, and reliability using statistical and computational techniques. Collaboration: Work in an Agile environment with cross-functional teams to integrate ML solutions into larger systems. Framework Utilization: Utilize machine learning frameworks such as TensorFlow, PyTorch, or Keras to develop scalable solutions. Data Management: Manage large datasets, ensure data quality, and design robust preprocessing pipelines. AI/ML Research: Stay updated on the latest advancements in AI/ML algorithms, tools, and techniques to implement cutting-edge solutions. Requirements Programming and Frameworks Fundamentals of SQL FastAPI framework PyTorch framework MMDetection framework Parallel Processing and Optimization Techniques for parallel execution and data processing Image and Data Processing Optical Character Recognition (OCR) Data processing and image manipulation Deep Learning Concepts Basics of neural networks and optimizers Convolutional Neural Networks (CNN) Region-based Convolutional Neural Networks (RCNN) Advanced AI and LLMs Prompt engineering principles Retrieval-Augmented Generation (RAG) using the LangChain framework Open-source Large Language Models (LLMs) MLOps and Deployment MLOps practices, including: MLflow Docker CI/CD pipelines GitLab Benefits 5-day working company. Quarterly rewards based on roadmap achievements and customers’ success. 20 Yearly leaves. 14 National Holidays Off. Cross-team work culture. Career Development & Training Programs. Employee Referral Benefits. Birthday/Anniversary/Festival Celebrations. Compensatory Off Benefits. Paid half-day leaves on special occasions of Birthdays & anniversaries. Meals while working extra. Yearly day-outing activities. Yearly Achievement Awards. Show more Show less

Data Science @Dream Sports: Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience. We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports. This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center. Your Role: Implementing appropriate success metrics, driving rapid experimentation of new POCs and presenting the impacts to stakeholders Driving knowledge sharing sessions within and across teams while maintaining continuous feedback channels with teammates to ensure building growth paths Owning respective services by following best practices in service maintainability, understanding and acting on the risks and opportunities involved Prioritising roadmaps while balancing impact, effort, resources and team's requirements to complete initiatives within committed timelines Developing and evaluating predictive and prescriptive models using appropriate mathematical methods like supervised and unsupervised learning, frequentist statistics, estimation methods Designing large-scale ML systems with advanced ML frameworks like TensorFlow/Keras/PyTorch for training and inferencing at scale Ensuring cross team alignment towards business/project goals by driving visibility of initiatives, managing conflicts, and highlighting implementation blocks Qualifiers: 6 - 10 years of experience in building and maintaining ML solutions at scale Proficient in predictive modelling (ML,DL/RL) and experimentation/causal inference methods Atleast 1 year of experience in managing team of data scientists and handling cross functional stakeholders Proven track record of designing end to end ML systems which can handle the scale About Dream Sports: Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11 , the world’s largest fantasy sports platform, FanCode , a premier sports content & commerce platform and DreamSetGo , a sports experiences platform. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology. For more information: https://dreamsports.group/ Dream11 is the world’s largest fantasy sports platform with 230 million users playing fantasy cricket, football, basketball & hockey on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers. Show more Show less

Role & responsibilities We are seeking a skilled Python Developer to join our dynamic team. The ideal candidate will be responsible for developing, maintaining, and improving backend services and applications, ensuring high performance and responsiveness to requests from the front end. If you have a passion for problem-solving, clean code, and scalable applications we want to hear from you! Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Experience with Python frameworks like Django, Flask, or FastAPI. Strong knowledge of RESTful API design and development. Good knowledge of python, DS, Pandas, Scikit, NumPy, TensorFlow, Keras etc. AI/ML exp mandatory Experience working with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB). Experience in data science, machine learning, or DevOps is a plus Direct Walkin to Office / No Online Interview Regards, DLK Groups Building Name : Raahat Plaza, Door No : 68 ,Ground, Arcot Rd, opp.Vijaya Hospital, Vadapalani, Chennai, Tamil Nadu 600026 Job Types: Full-time, Fresher, Internship Contract length: 24 months Pay: ₹200,000.00 - ₹400,000.00 per year Location Type: In-person Work Location: In person Expected Start Date: 16/06/2025

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

About Impetus Impetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth. Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon. Job Role- Data Scientist Experience- 3.5+ years Locations- Indore, Bangalore, Pune, Gurgaon, Noida Job Description Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular. Implementing and fine tuning the AI- generated text prompts using LLMs (eg:-GPT4) Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc. Ability to understand business requirements. Usecase derivation and solution creation from structured/unstructured data Story telling, Business communication and Documentation Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning and Model performance metrics MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure and Databricks Optional - Big Data -Basic knowledge on Spark, Hive Roles & Responsibilities Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructured data sets. Develop Cloud based applications including LLM/GenAI and deploy them into production. Qualification Degree – Graduates/Postgraduate in CSE/IT or related field Show more Show less

Job Description As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Responsibilities Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines Qualifications Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Show more Show less

Job Summary Member of a software engineering team involved in development & design of the AI Data Platform built on NetApp’s flagship storage operating ONTAP. ONTAP is a feature rich stack with its rich data management capabilities that has tremendous value to our customers and are used in mission critical applications across the world. You will work as part of a team responsible for the development, testing and debugging of distributed software that drives NetApp cloud, hybrid-cloud, and on-premises AI/ML solutions. As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, supportability, technology advances, product quality, product cost and time-to-market. Software engineers focus on enhancements to existing products as well as new product development. This is a mid-level technical position that requires an individual to be broad-thinking, systems-focused, creative, team-oriented, technologically savvy, able to work in a small and large cross-functional teams, willing to learn and driven to produce results. Job Requirements Proficiency in programming languages like GO/Golang. Experience with Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc. Hands-on experience working with Rest APIs and Micro Services – Flask, API frameworks. Experience working in Linux, AWS/Azure/GCP, Kubernetes – Control plane, Auto scaling, orchestration, containerization is a must. Experience with No Sql Document Databases e.g., Mongo DB, Cassandra, Cosmos DB, Document DB. Experience working building Micro Services, REST APIs and related API frameworks. Experience with Big Data Technologies: Understanding big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing. Proven track record of working on mid to large sized projects. Responsible for providing support in the development and testing activities of other engineers that involve several inter-dependencies. Participate in technical discussions within the team and across cross-functional teams. Willing to work on additional tasks and responsibilities that will contribute towards team, department and company goals. A strong understanding and experience with concepts related to computer architecture, data structures and programming practices. Experience with AI/ML frameworks like PyTorch or TensorFlow is a Plus. Education Typically requires a minimum of 4-7 years of related experience with a bachelor’s degree or a master’s degree; or a PhD with relevant experience.

About VOIS VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. About VOIS India In 2009, VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Job Description Big Data Handling: Passion and attitude to learn new data practices and tools (ingestion, transformation, governance, security & privacy), on both on-prem and Cloud (AWS preferable). Influences and contributes to innovative ways of unlocking value through companywide and external data Diagnostic Models Experience with diagnostic system using decision theory and causal models (including tools like probability, DAG, ADMG, Deterministic SME, etc) to predict the effects of an action to improve insight-led decisions. Able to productize the diagnostic systems built for reuse. Predictive & Prescriptive Analytics Models Expert in AI solutions - ML, DL, NLP, ES, RL etc. Should be able to build robust prescriptive learning systems that are scalable, real-time. Should be able to determine "Next Best Action" following Prescriptive Analytics. Autonomous Cognitive Systems Drive Autonomous system utility and continuously improve precision through creating the stable learning environment. Should be able to build Intelligent Autonomous Systems to prescribe proactive actions based on ML predictions and solicit feedback from the support functions with minimal human involvement. Big Data Tech, Environments & Frameworks Advanced applications of CNNs, RNNs, MLPs, Deep learning. Excellent application of machine learning and deep learning packages like tensorflow, pytorch, scikit, numpy, pandas, statsmodels theano, XGBoost etc. Demonstrated superior deep learning algorithms/framework. At least 1 certification in AWS will be preferred. Programming: Python, R, SQL Frameworks: TensorFlow, Keras, Scikit-learn Visualization: Tableau, Power BI Cloud: AWS, Azure Statistical Modeling: Regression, classification, clustering, time series Soft Skills: Communication, stakeholder management, problem-solving VOIS Equal Opportunity Employer Commitment India VO IS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion , Top 50 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch! Show more Show less

What You’ll Do Utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets from internal and external sources to provide insight and develop data driven solutions across the company Build and test predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity Responsible for the development, testing, validation, tracking, and performance enhancement of statistical models and other BI reporting tools leading to new innovative origination strategies within marketing, sales, finance, and underwriting Leverage advanced analytics to develop innovative portfolio surveillance solutions to track and forecast loan losses, that influence key business decisions related to pricing optimization, credit policy and overall profitability strategy Use decision science methodologies and advanced data visualization techniques to implement creative automation solutions within the organization Initiate and lead analysis to bring actionable insights to all areas of the business including marketing, sales, collections, and credit decisioning Develop and refine unit economics models to enable marketing and credit decisions What You’ll Need 5 to 8 years of experience in data science or a related role with a focus on Python programming and ML models. Proficient in Python programming and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch. Strong experience with ETL and Data Warehouse. Good experience with IOT is required. Strong understanding of machine learning algorithms, deep learning techniques, and natural language processing methodologies. Strong Python/Pyspark knowledge enabling data preprocessing and historical feedback loop for context loading for LLM. Familiarity with SQL databases (MySQL/ SQL Server) and vector databases like (Qdrant, Faiss). Proven track record of delivering successful AI projects that demonstrate measurable impact on business outcomes. Strong analytical skills with the ability to interpret complex data sets. Master’s or PhD in Computer Science, Data Science or related field preferred. Life At Next At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks Of Working With Us Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us! Show more Show less

We are seeking a talented and versatile Analytics & AI Specialist to join our dynamic team. This role combines expertise in General Analytics, Artificial Intelligence (AI), Generative AI (GenAI), forecasting techniques, and client management to deliver innovative solutions that drive business success. The ideal candidate will work closely with clients, leverage AI technologies to enhance data-driven decision-making, and apply forecasting models to predict business trends and outcomes. AI & Machine Learning: Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn, PyTorch, Keras). Knowledge of Generative AI (GenAI) tools and technologies, including GPT models, GANs (Generative Adversarial Networks), and transformer models. Familiarity with AI cloud platforms (e.g., Google AI, AWS SageMaker, Azure AI). Forecasting: Expertise in time series forecasting methods (e.g., ARIMA, Exponential Smoothing, Prophet) and machine learning-based forecasting models. Experience applying predictive analytics and building forecasting models for demand, sales, and resource planning. Data Visualization & Reporting: Expertise in creating interactive reports and dashboards with tools like Tableau, Power BI, or Google Data Studio. Ability to present complex analytics and forecasting results in a clear and compelling way to stakeholders. Client Management & Communication: Strong client-facing skills with the ability to manage relationships and communicate complex technical concepts to non-technical audiences. Ability to consult and guide clients on best practices for implementing AI-driven solutions. Excellent written and verbal communication skills for client presentations, technical documentation, and report writing. Additional Skills: Project Management: Experience managing data analytics projects from inception to completion, ensuring deadlines and objectives are met. Cloud Platforms: Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models, handling large datasets, and performing distributed computing. Business Acumen: A strong understanding of business KPIs and the ability to align AI and analytics projects with client business goals. Show more Show less

Job ID: 199713 Required Travel :Minimal Managerial - No Location: :India- Pune (Amdocs Site) Who are we Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com In one sentence Our Consultant role provides services for Amdocs and 3rd party applications, also runs programs, applies functional business standard methodologies to transform business processes, crafts and leads change to restructure and transform organizations and achieves business objectives. What will your job look like Develop and Implement AI Models o Design, develop, and deploy generative AI models and machine learning algorithms to address various business needs. o Developing and maintaining documentation for prompt generation processes and best practices o Design and deliver cutting-edge AI systems to solve some of our clients most challenging business problems o Deliver production-grade, mature AI/ML solutions for our clients at scale, built with automated, repeatable processes o Take ownership of and drive key architecture decisions around the AI/ML lifecycle (build, test, deploy, and monitor) o Utilize best-of-breed practices, tools, and cloud solutions. Performance Optimization o Optimize AI models for performance, scalability, and accuracy. o Continuously improving prompt quality, performance and the overall AI prompt generation process o Analyzing user feedback and data to identify areas for improvement in prompt quality and performance o Optimal performant AI model selection by Evaluation. Research and Innovation o Stay updated with the latest advancements in AI and ML, and apply cutting-edge techniques to improve existing models and create new solutions. o Conducting research on natural language processing and machine learning techniques to enhance prompt generation Collaboration o Collaborating with content, product and data teams to align prompts with company goals and user needs o Collaborating with data scientists and machine learning engineers to develop and improve AI models Documentation and Reporting o Document AI models, processes, and findings, and present them to stakeholders All you need is... and skills Educational Background o Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Technical Skills: o Proficiency in programming languages such as Python/ R/ Java o Proficiency in data management and querying languages ( SQL / Pyspark) o Good understanding in DataOps, ModelOps and DevOps. o Experience with AI/ML frameworks and libraries like TensorFlow, PyTorch, Keras, and Scikit-learn. o Experience using large language models like gemma, llama, anthropic. o Experience using frameworks like Langchain, langgraph, RAG with cloud AI platforms (AWS SageMaker, GCP AI Platform, Azure ML) to architect AI solutions o Experience in deploying LLM based bots on web, integration with MSFT Powerapps. o Experience in containerization of LLM powered apps. o Proven work experience as a Prompt Engineer or similar role. o Strong understanding of generative models (e.g., GANs, VAEs) and deep learning techniques. o Knowledge of natural language processing (NLP) and computer vision. o Handson experience in Agentic AI Framework o Proven Data engineering experience. o More than 3 years of professional experience with cloud technologies (AWS, GCP, Azure) o Relevant training and/or certifications in computer science, AI or a related field o Knowledge of automated testing and monitoring solutions o Experience with open-source modeling frameworks (ex. TensorFlow, Keras, PyTorch, Scikit-learn) o Experience in developing agentic AI solutions Communication o Strong verbal and written communication skills o Ability to collaborate effectively with cross-functional teams o Excellent verbal and written communication skills to convey technical concepts to non-technical stakeholders. Why you will love this job: You will be able to use your specific insights to lead business change on a large scale and drive transformation within our organization. You will be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development. You will have the opportunity to work in multinational environment for the global market leader in its field! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave! Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce

Senior Machine Learning Engineer - Recommender Systems Join our team at Thomson Reuters and contribute to the global knowledge economy. Our innovative technology influences global markets and supports professionals worldwide in making pivotal decisions. Collaborate with some of the brightest minds on diverse projects to craft next-generation solutions that have a significant impact. As a leader in providing intelligent information, we value the unique perspectives that foster the advancement of our business and your professional journey. Are you excited about the opportunity to leverage your extensive technical expertise to guide a development team through the complexities of full life cycle implementation at a top-tier companyOur Commercial Engineering team is eager to welcome a skilled Senior Machine Learning Engineer to our established global engineering group. Were looking for someone enthusiastic, an independent thinker, who excels in a collaborative environment across various disciplines, and is at ease interacting with a diverse range of individuals and technological stacks. This is your chance to make a lasting impact by transforming customer interactions as we develop the next generation of an enterprise-wide experience. About the Role: As a Machine Learning Engineer, you will: Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives. Create machine learning solutions that are scalable, dependable, and secure. Craft and sustain technical outputs such as design documentation and representative models. Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews. Provide expert oversight, guidance on implementation, and solutions for technical challenges. Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services. Promote a team-focused culture that values information sharing and diverse viewpoints. Cultivate an environment of continual enhancement, learning, innovation, and deployment. About You: You are an excellent candidate for the role of Machine Learning Engineer if you possess: At least 3 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency. A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices. A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred), including services, networking, and security principles. Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products. Proficient Python programming skills, SQL, and data modeling expertise, with DBT considered a plus. Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries. Experience in leading and supporting engineering teams. Robust background in crafting data science and machine learning solutions. A creative, resourceful, and effective problem-solving approach. #LI-HG1 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

AI & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is focused on delivering practical, project-driven learning experiences to help students and graduates build careers in emerging technologies. Our AI & Machine Learning Internship is designed to offer hands-on experience in building intelligent systems and solving real-world problems using data. 🚀 Internship Overview As an AI & ML Intern , you will work on projects involving machine learning models, data preprocessing, and algorithm development . This internship will equip you with the skills to apply AI techniques in various domains, including natural language processing, computer vision, and predictive analytics. 🔧 Key Responsibilities Clean and preprocess datasets for training and testing machine learning models Build, train, and evaluate ML models using Python libraries like scikit-learn, TensorFlow, PyTorch, and Keras Work on projects involving classification, regression, clustering, NLP , or image processing Analyze model performance and optimize results through hyperparameter tuning Collaborate with team members to implement AI solutions for real-world scenarios Present findings through visualizations, reports, and presentations ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or related fields Strong foundation in Python programming and statistics Understanding of machine learning algorithms and AI concepts Familiarity with Jupyter Notebook , Pandas , NumPy , and visualization libraries like Matplotlib/Seaborn Bonus: Exposure to NLP, deep learning , or AI model deployment tools Curiosity, creativity, and a passion for solving problems with data 🎓 What You’ll Gain Hands-on experience with real datasets and applied ML projects Knowledge of industry-standard AI tools and workflows A portfolio of AI/ML projects you can showcase to employers Internship Certificate upon successful completion Letter of Recommendation for outstanding performers Opportunity for a Full-Time Offer based on performance Show more Show less