Posted:1 week ago|
Platform:
Work from Office
Full Time
Bachelor s/Master s in Computer Science, Data Science, or related field.
5 6 years of hands-on AI/ML / Data Science experience.
Strong expertise in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face).
Practical experience with LLMs, embeddings, vector databases, and RAG pipelines.
Proven background in recommendation systems, personalization, and predictive modeling.
Proficiency in SQL/NoSQL databases and data pipeline development.
Familiarity with APIs & microservices (FastAPI, Django REST, Flask).
Experience with cloud ML deployments (Azure/AWS/GCP).
Good knowledge of Docker, Kubernetes, Git, CI/CD for production ML.
Requirements :Design, develop, and deploy end-to-end AI/ML solutions.
Lead projects involving LLMs, NLP, recommendation engines, and predictive models.
Build, optimize, and maintain data pipelines and APIs for ML services.
Deploy and scale ML models on cloud platforms with containerization and CI/CD.
Collaborate with cross-functional teams to deliver production-ready AI systems.
Ensure model performance, scalability, monitoring, and explainability.
Mentor junior team members and contribute to best practices in MLOps.
If you are interested and your skills / experience matches our requirements, please share us your CV. Please include "Senior AI/ML Data Scientist" in the subject line. Apply below:
Somnetics Som Imaging Informatics
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
Practice Python coding challenges to boost your skills
Start Practicing Python Now14.0 - 24.0 Lacs P.A.
7.0 - 8.0 Lacs P.A.
calcutta
6.036 - 8.70648 Lacs P.A.
kolkata, west bengal, india
Salary: Not disclosed
hyderabad, chennai, bengaluru
20.0 - 35.0 Lacs P.A.
hyderabad
20.0 - 25.0 Lacs P.A.
bengaluru
6.0 - 11.0 Lacs P.A.
6.0 - 9.0 Lacs P.A.
bengaluru
50.0 - 55.0 Lacs P.A.
mumbai
35.0 - 35.0 Lacs P.A.
