ML Engineer II

UST; Thiruvananthapuram; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

UST is seeking a Senior AI Engineer to design, develop, and deploy AI/ML solutions for healthcare clients. The role emphasizes GenAI, LLMs, MLOps, and scalable production-ready systems.

The candidate will lead development of AI-powered chatbots, copilots, and recommendation engines, while ensuring security and compliance. Prior cloud and containerization experience is essential.

Qualifications

• Strong experience in Python and AI/ML development.
• Hands-on with Generative AI, LLMs, Prompt Engineering, and AI Agents.
• Experience with TensorFlow, PyTorch, Scikit-learn, LangChain, or LlamaIndex.
• Knowledge of NLP, Deep Learning, CV, and predictive analytics.
• Experience with vector databases like Pinecone, FAISS, Chroma, or Azure AI Search.
• Strong understanding of MLOps, CI/CD, deployment, and monitoring.
• Experience with cloud platforms such as Azure AI, AWS AI/ML, or Google Cloud AI.
• Familiarity with REST APIs, microservices, and Docker/Kubernetes.

Responsibilities

• Design, develop, and deploy ML and Generative AI solutions.
• Build AI apps using LLMs, NLP, and DL frameworks.
• Develop AI chatbots, copilots, recommendations, and automation.
• Fine-tune and monitor ML models and foundation models.
• Implement RAG architectures and vector databases.
• Collaborate with stakeholders to translate requirements into AI solutions.
• Establish MLOps for deployment, monitoring, and lifecycle management.
• Ensure AI solutions meet security, compliance, scalability, and performance standards.
• Mentor junior AI engineers and promote AI best practices.

Skills

Python

Generative AI

LLMs

NLP

Deep learning

MLOps

Cloud platforms

REST APIs

Education

Bachelor's or Master's in CS/AI/Data Science/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

LlamaIndex

Pinecone

FAISS

Chroma

Azure AI/Search

AWS/GCP AI tools

Docker

Kubernetes

Job description

Role Description

Senior AI Engineer - Job Description

Job Title: Senior AI Engineer

Experience: 6-10+ Years

Location: Hybrid/Onsite

Domain: Healthcare (Preferred)

Job Summary We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy AI/ML solutions that solve complex business problems. The ideal candidate will have strong expertise in machine learning, generative AI, large language models (LLMs), MLOps, and cloud-based AI platforms, with a passion for building scalable and production-ready AI systems.

Key Responsibilities

• Design, develop, and deploy machine learning and Generative AI solutions.
• Build and optimize AI applications using LLMs, NLP, and deep learning frameworks.
• Develop AI-powered chatbots, copilots, recommendation engines, and intelligent automation solutions.
• Fine-tune, evaluate, and monitor machine learning and foundation models.
• Implement RAG (Retrieval-Augmented Generation) architectures and vector databases.
• Collaborate with business stakeholders, architects, data scientists, and engineering teams to translate requirements into AI solutions.
• Establish MLOps practices for model deployment, monitoring, and lifecycle management.
• Ensure AI solutions meet security, compliance, scalability, and performance standards.
• Mentor junior AI engineers and contribute to AI best practices and innovation initiatives.

Required Skills

• Strong experience in Python and AI/ML development.
• Hands‑on expertise with Generative AI, LLMs, Prompt Engineering, and AI Agents.
• Experience with TensorFlow, PyTorch, Scikit-learn, LangChain, or LlamaIndex.
• Knowledge of NLP, Deep Learning, Computer Vision, and predictive analytics.
• Experience with vector databases such as Pinecone, FAISS, Chroma, or Azure AI Search.
• Strong understanding of MLOps, CI/CD, model deployment, and monitoring.
• Experience with cloud platforms such as Azure AI, AWS AI/ML, or Google Cloud AI.
• Familiarity with REST APIs, microservices, and containerization technologies (Docker/Kubernetes).

Preferred Qualifications

Experience in Healthcare or Health Insurance domain.

Knowledge of Responsible AI, AI Governance, and Model Risk Management.

Azure AI Engineer Associate, AWS ML Specialty, or equivalent AI certifications.

Experience leading AI solution delivery in enterprise environments.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Skills

• Generative AI
• Agentic AI
• REST
• Machine Learning
• Google Cloud Platform
• Prompt Engineering
• NLP
• LLMs