Senior AI/ML Engineer
Senior AI Solutions Engineer /Sr AI ML
Specialist
Experience: 5 - 12 Years
Preferred Location: Bangalore / Hyderabad / PAN India
Shift time: 2 PM - 11 PM IST
About the Role
The Senior AI Solutions Engineer /Sr AI ML Specialist **(will build and scale intelligent systems that
improve healthcare outcomes. You will design, build, and deploy machine learning and LLM-based
systems, taking models from experimentation to production within assigned client group, business
unit or corporate department and utilizing various customer technology platforms.
Key Responsibilities
How You Will Make an Impact:
• Maintains active relationships with product, data, engineering, architecture, and business
teams to translate business problems into scalable AI/ML solutions.
• Applies AI/ML capabilities and modern AI tools to solve meaningful business problems,
improve healthcare outcomes, and enable practical adoption across business workflows,
digital products, and enterprise applications.
• Owns the change request process and may coordinate with other teams as necessary.
• Provides technical advice and weighs in on technical decisions that impact cross-functional
teams, including AI/ML and advanced analytics solutions.
• Researches and may propose new technologies, keeping abreast of developments in AI and
applying them to enterprise use cases where relevant.
• Designs, builds, and deploys end-to-end ML and LLM-based systems (data pipelines, models,
prompts, APIs, and monitoring).
• Develops, evaluates, deploys, and monitors machine learning models for predictive,
classification, optimization, personalization, and decision-support use cases.
• Builds applied AI solutions such as semantic search, RAG pipelines, and embedding-based
systems.
• Develops production-ready AI/ML services, APIs, pipelines, and reusable components;
improves performance, scalability, reliability, usability, and operational readiness in
production.
• Performs technical design reviews and code reviews; provides technical leadership through
solution design, best practices, troubleshooting, and mentoring junior team members.
• Assesses status and supports data information planning.
• Coordinates on-call support and ensures effective monitoring of systems, including AI/ML
model performance and reliability.
• Mentors others and may lead multiple or small to medium-sized projects; influences
engineering standards and technical direction.
• Identifies and proposes strategies around technical problems affecting the team,
communicates standards, and gains buy-in on solutions.
Senior AI Solutions Engineer /Sr AI ML
Specialist
Capabilities, Experiences and Required Skills
• Any Masters Degree or PhD Mandatory.
• Advanced Python skills for machine learning and data processing.
• Experience across the full ML lifecycle (development deployment monitoring).
• Hands-on experience with fine tuning SLMs, LLMs, embeddings, RAG, or modern NLP
techniques using vector search technologies like OpenSearch.
• Experience building production AI systems (APIs, pipelines, microservices).
• Experience designing evaluation frameworks for ML/LLM systems.
• Familiarity with responsible AI principles (fairness, explainability, privacy).
• Experience with cloud-based ML platforms and scalable architectures (AWS Bedrock, or
equivalent AI model cloud providers).
• Healthcare domain experience, including familiarity with data privacy and regulatory
requirements(preferred)
