AI/ML Engineer - Data Science

Job Description :

Role : Senior AI Engineer / Senior Data Scientist

Ascent Healthcare Hyderabad, India

Full-Time 5 days Onsite

Location : Uppal, Hyd

Experience : 5-10 Years

Role Overview :

Ascent Healthcare is seeking a high-impact Senior AI Engineer / Senior Data Scientist to join our growing technology team. This is a hands-on Individual Contributor (IC) role where you will architect and deliver cutting-edge AI/ML solutions that directly transform healthcare outcomes.

You will work at the intersection of GenAI, LLMs, and classical ML designing intelligent systems, driving innovation, and mentoring junior engineers in a fast-paced Agile environment.

Key Responsibilitie s :

• Design and build end-to-end AI/ML pipelines including data preprocessing, feature engineering, model training, evaluation, and deployment.

• Develop and fine-tune LLMs, embedding models, and GenAI applications using RAG, CAG, and prompt/context engineering techniques.

• Architect and implement AI Agents and multi-agent systems for complex, autonomous workflows.

• Apply NLP, deep learning, and semantic search solutions to real-world healthcare data challenges.

• Integrate AI solutions via APIs and deploy on cloud platforms (AWS / Azure / GCP) using MLOps and LLMOps best practices.

• Lead design reviews, code reviews, and enforce engineering best practices across the team.

• Collaborate cross-functionally with product, engineering, and clinical stakeholders; translate requirements into scalable AI solutions.

• Drive R&D and proof-of-concept initiatives; stay current with emerging AI research and tooling.

• Mentor and coach junior data scientists and engineers; contribute to technical documentation and knowledge sharing.

Primary Skills :

• Python, SQL, Mathematics, Statistics, Data Science, Machine Learning, Deep Learning, NLP, Generative AI, LLMs, Prompt Engineering, RAG, Vector Databases, CAG, Context Engineering, AI Agents, Agentic AI, Feature Engineering, Predictive Modeling, Model Evaluation, Fine-Tuning, Embedding Models, Semantic Search, Scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, AI Architecture, API Integration.

Secondary Skills :

• Multi-Agent Systems, MLOps, LLMOps, AI/ML Pipelines, Responsible AI, Data Visualization, Docker, Kubernetes, Git, CI/CD, Cloud AI (AWS/Azure/GCP), Performance Optimization, Model Deployment, Experiment Tracking, Monitoring & Observability.

Leadership & Collaboration Skills :