Senior Data Scientist
Veltris (company site, opens in a new tab)7–9 yrsHyderabadOn-siteDirect career pageEst. 25–45 LPA
Posted on 9 Sept
Reach people at Veltris
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Veltris you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, and productionize advanced ML/AI models focusing on Generative AI and Retrieval-Augmented Generation (RAG).
- Lead end-to-end model lifecycle management including data prep, training, deployment, and monitoring ensuring scalable, reliable, and secure AI solutions.
- Provide technical leadership and strategic partnership with stakeholders to drive AI innovation and operational excellence including MLOps pipeline optimization and AI governance.
Minimum Requirements
- 7 to 9 years of work experience in data science or related AI domains.
- Proven expertise in Generative AI technologies (LLMs, transformers, diffusion models) and RAG pipelines.
- Hands-on experience with MLOps tools and practices such as CI/CD for ML, MLflow, Kubeflow, or Airflow.
- Strong ML engineering skills in Python, PyTorch or TensorFlow, distributed training, and familiarity with cloud platforms like AWS, Azure, or GCP.
Ideal Candidate Profile
- Experienced in leading AI projects from model development through deployment with emphasis on production readiness and monitoring.
- Comfortable managing technical teams and collaborating cross-functionally to translate complex AI concepts to business impact.
- Experienced in emerging AI technologies, AI governance, and implementing scalable, secure AI systems in enterprise environments.