Role : 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 principles fairness, 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.(ref : hirist.tech)