Senior Data Scientist

Senior Data Scientist Generative AI & MLOps Focus

Location: [Hyderabad]

Experience Required: 5+ years in Data Science & Machine Learning

Employment Type: [Full-time ]

Role Overview

Were seeking a highly skilled Senior Data Scientist with deep expertise in Generative AI, NLP, LLMs, and MLOps. Youll architect and implement cutting-edge AI solutions, collaborating with cross-functional teams to solve complex enterprise challenges. If you thrive at the intersection of innovation, scalability, and impactthis role is for you.

Key Responsibilities

AI Solution Development

- Design and implement state-of-the-art AI models using LLMs, generative techniques, and agentic frameworks.

- Integrate APIs and libraries like Azure OpenAI, Hugging Face Transformers, and vector databases (e.g., Redis).

- Optimize end-to-end pipelines for data ingestion, model training, and deployment.

Enterprise Use Case Innovation

- Collaborate with stakeholders to define AI goals and tailor solutions to business needs.

- Apply similarity search, domain adaptation, and model compression for scalable performance.

- Establish evaluation metrics for generative outputscoherence, relevance, and quality.

Data Engineering & MLOps

- Curate and preprocess large-scale datasets for generative AI applications.

- Implement CI/CD pipelines using Docker, Kubernetes, Git, and IaC tools (Terraform, CloudFormation).

- Monitor model performance and ensure reliability using logging and observability tools.

Ethical AI & Governance

- Apply trusted AI principlesfairness, transparency, accountability.

- Ensure compliance with data privacy, security, and ethical standards.

Qualifications

- Bachelors/Masters in Computer Science, Engineering, or related field (Ph.D. is a plus).

- 5+ years in Data Science, Machine Learning, and AI model development.

- Proficient in Python, R, TensorFlow, PyTorch.

- Strong grasp of NLP (BERT, GPT, Transformers) and computer vision techniques.

- Experience with cloud platforms (Azure, AWS, GCP) and deploying AI at scale.

- Skilled in data engineering, DevOps, and MLOps practices.

Preferred Skills

- Classical ML: regression, classification, clustering, time series.

- Optimization techniques including Mixed Integer Programming (MIP).

- Infrastructure automation via Terraform or CloudFormation.

- Experience with monitoring tools and scalable deployment strategies.

What Youll Bring

- Analytical mindset with strong problem-solving skills.

- Ability to translate business needs into technical solutions.

- Collaborative spirit with excellent communication across teams.