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 deployment.

QUALIFICATION:

B.E/B.Tech 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