Role Description
Job Title:
Senior Data Scientist – Generative AI / AI/ML / MLOps
Location:
[Hyderabad]
Experience
6+ Years
Job Type
Full-Time | [Permanent]
Job Summary
We are looking for a highly experienced and innovative
Senior Data Scientist
with strong expertise in
Python
,
Generative AI
, and
AI/ML systems
, including a deep understanding of
LLMs and MLOps best practices
. This role is ideal for someone who thrives in solving complex problems using cutting-edge AI technologies and has a proven track record of successfully delivering impactful ML/AI solutions from research to production.You will lead and contribute to the design, development, and deployment of scalable AI/ML systems, including
LLM-based solutions
,
prompt engineering
, and
API integration
to power next-gen intelligent applications.
Key Responsibilities
- Lead the design, development, and deployment of AI/ML models, including Generative AI and LLM-based solutions.
- Implement and optimize LLM pipelines including prompt engineering, fine-tuning, and evaluation frameworks.
- Write clean, efficient, and modular Python code for model development, training, and inference.
- Develop and expose RESTful APIs for seamless model integration into business applications.
- Apply MLOps best practices including model versioning, automated testing, CI/CD pipelines for ML, monitoring, and governance.
- Design and deploy scalable ML pipelines using cloud-native or containerized environments.
- Work collaboratively with cross-functional teams including engineering, product, and research to define and execute on AI strategy.
- Explore and implement AI Agents and intelligent decision-making systems powered by LLMs.
- Stay updated with the latest advancements in AI/ML, GenAI, and LLM frameworks and apply them in real-world use cases.
Required Skills & Experience
- 6+ years of experience in data science or AI/ML engineering.
- Strong proficiency in Python with best practices in software development (modular code, testing, version control).
- Proven experience with Generative AI, LLMs (e.g., GPT, LLaMA, Claude), and prompt engineering.
- Hands-on experience deploying GenAI solutions in production environments.
- Deep understanding of ML lifecycle, MLOps pipelines, and tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
- Experience building and deploying REST APIs for ML/AI model consumption.
- Familiarity with AI agents, LLM orchestration frameworks (e.g., LangChain, LlamaIndex), and autonomous workflows.
- Strong analytical and problem-solving skills with the ability to work in a fast-paced, research-driven environment.
Nice To Have
- Experience with cloud platforms (AWS, GCP, or Azure) for AI/ML workloads.
- Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate) and embeddings.
- Exposure to privacy, fairness, and security in AI systems.
- Publications or patents in the field of AI/ML or Generative AI.
Why Join Us?
- Be at the forefront of Generative AI innovation with real-world impact.
- Collaborate with a world-class team of AI researchers and engineers.
- Access to cutting-edge tools, infrastructure, and research opportunities.
- Continuous learning, conferences, certifications, and upskilling support.
Apply now and help shape the future of AI with us.
Let me know if you’d like this formatted for a specific platform (e.g., LinkedIn, company careers page) or targeted toward a particular industry (like finance, healthcare, etc.).
Skills
Python,Generative AI,AI/ML,MLOps
