Senior AI/ML Engineer

Msys Softsol; Pune District, Bengaluru; Hybrid; INR 2,500,000 - 4,200,000; Full time

Job summary

Msys Softsol is seeking a Senior AI Solutions Engineer / Sr AI ML Specialist to design, build, and deploy ML and LLM-based systems for healthcare outcomes. You will lead end-to-end AI projects, from data processing to production, collaborating with product, data, and engineering teams in a dynamic client-focused environment.

The role requires strong Python skills, deep ML lifecycle experience, and hands-on work with LLMs, embeddings, and RAG pipelines.

Qualifications

• Masters or PhD in a relevant field.
• Advanced Python for ML and data processing.
• Experience across the full ML lifecycle (development, deployment, monitoring).
• Hands-on tuning of LLMs, embeddings, RAG, or NLP techniques with vector search.
• Experience building production AI systems (APIs, pipelines, microservices).
• Experience designing evaluation frameworks for ML/LLM systems.
• Familiarity with responsible AI (fairness, explainability, privacy).
• Experience with cloud-based ML platforms and scalable architectures (AWS Bedrock or equivalent).
• Healthcare domain experience and familiarity with data privacy/regulatory requirements (preferred).

Responsibilities

• Maintains relationships with product, data, engineering, and business teams to translate problems into AI/ML solutions.
• Applies AI/ML capabilities to solve business problems and enable adoption across workflows and products.
• Owns change request processes and coordinates with other teams as needed.
• Provides technical leadership through design reviews, best practices, and mentoring.
• Researches new technologies and applies them to enterprise use cases.
• Designs, builds, and deploys end-to-end ML/LLM systems and monitoring pipelines.
• Develops production-ready AI/ML services, APIs, and reusable components.

Skills

Python

ML lifecycle

Fine tuning LLMs

RAG pipelines

APIs & microservices

Evaluation frameworks

Responsible AI

Cloud ML platforms

Healthcare data privacy

Education

Masters or PhD in a relevant field

Tools

OpenSearch

AWS Bedrock

Job description

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)