Carelon - Team Lead - Artificial Intelligence/Machine Learning

Carelon Global Solutions India; Hyderabad; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Carelon Global Solutions India is seeking a Tech Lead with a strong US Healthcare background and 10-14 years of programming experience in Python, Gen AI, ML, LLM and CICD. You will guide architectural decisions, mentor engineers, and deliver enterprise-grade AI solutions.

In this role you will design scalable data pipelines, optimize LLM inference, and collaborate with cross-functional teams to deploy secure, compliant AI-powered healthcare applications across platforms.

Qualifications

• 10-14 years of programming experience with a focus on Python and ML/AI systems.

Responsibilities

• Collaborate with data scientists and product managers to build AI/ML pipelines and models.

Skills

Python

Data science libraries

LLM frameworks

Prompt engineering

ML & DL

Go or Rust

Microservices

TDD

Concurrency

LLM deployment

Cloud platforms

Tools

Hugging Face Transformers

LangChain

vLLM

FastAPI

AWS

GCP

Azure

Job description

Job Position

We are looking for a Tech Lead with US Healthcare background with 10 - 14 years of Programming experience in Python, Gen AI, ML, LLM & CICD.

Job Position

We are looking for a Tech Lead with US Healthcare background with 10 - 14 years of Programming experience in Python, Gen AI, ML, LLM & CICD.

Job Responsibility

• Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization.
• Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models.
• Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements.
• Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment.
• Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development.
• Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs.
• Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling.
• Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function.
• Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and in Computer Sciences, IT, Engineering

Experience

• 10 to 14 years of Programming experience
• 2 - 3 Years of Team management Experience

Skills And Competencies

Technical Skills :

• Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow)
• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques
• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.
• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.
• Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.
• LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.
• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.

Domain Expertise

• Strong mathematical foundation in statistics, probability, linear algebra, and optimization
• Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation
• Expertise in feature engineering, embedding optimization, and dimensionality reduction
• Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing
• Experience with RAG systems, vector databases, and semantic search implementation
• Proficiency in LLM optimization techniques including quantization and knowledge distillation
• Understanding of MLOps practices for model deployment and monitoring

Professional Competencies

• Strong analytical thinking with ability to solve complex ML challenges
• Excellent communication skills for presenting technical findings to diverse audiences
• Experience translating business requirements into data science solutions
• Project management skills for coordinating ML experiments and deployments
• Strong collaboration abilities for working with cross-functional teams
• Dedication to staying current with latest ML research and best practices
• Ability to mentor and share knowledge with team members

(ref:hirist.tech)