Hiring: Data Scientist Location: Chennai / Bangalore (WFH) Experience: 4+ Years Employment Type: Full-Time Job Summary We are looking for a highly motivated and experienced Data Scientist to join our growing Data & AI team. The
Position: Machine Learning Engineer / Lead Work Location: Nagpur Experience: 8 to 12 Years Key Responsibilities Design and automate end-to-end ML pipelines (CI/CD, CT) for training, evaluation, and deployment. Productionize ML models into clean, modular, and
The B. Sc. Data Science programme at Symbiosis University of Applied Sciences is an industry-oriented, multidisciplinary undergraduate programme that prepares students from diverse academic backgrounds - mathematics, commerce, humanities, economics, and the biological sciences - for
Deliver engaging classroom and/or online training sessions on topics including: Python for Data Science Data Analytics using Excel and SQL Statistics and Probability Machine Learning and Deep Learning Data Visualization using Power BI / Tableau Create
Job Description Deliver engaging classroom and/or online training sessions on topics including: Python for Data Science Data Analytics using Excel and SQL Statistics and Probability Machine Learning and Deep Learning Data Visualization using Power BI /
Role : ML OPS Lead Engineer Job Mode : Remote Experience : 7+ Years Notice Period : Immediate / 10 to 15 Days Experience Required: 7+ years in platform or infrastructure engineering with significant experience in
Job Description Senior Data Scientist Job Location – Gurgaon/Indore/Jaipur (WFO – Hybrid) Candidate is required to work from onsite client location (Abu Dhabi) for 3-4 Months Experience : 5+ Years About Company FiftyFive is a global
Job Role : - ML Ops Lead Job Location: - India Job Type : - Remote Experience : -7+ Years Roles & Responsibilities: - Design, deploy, and manage scalable, secure, and automated ML/AI platforms across Azure
Your IT Future, Delivered. DevOps Engineer - MLOps/AI Engineer With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions.