Machine Learning Engineer

Job Title: Machine Learning/AI Engineer

Job Type: Full-time, Contractor

Location: Hybrid - India (Pune/ Bangalore/ Delhi

Job Summary:

We are seeking a highly skilled LLM Scientist to join one of our top customer's dynamic team and contribute to the development of innovative software solutions. The ideal candidate will have a strong background in Python and extensive experience in LLM solution development, cloud platforms, and DevOps tools. Working collaboratively, you will design and implement scalable solutions, ensuring our systems are high-performing and reliable.

Key Responsibilities:

• Take ownership of architecture design and development of scalable and distributed software systems.

• Translate business to technical requirements.

• Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation.

• Data-driven decision-making skills with a focus on achieving product goals.

• Design, develop, and deploy LLM based pipelines involving patterns like RAG, Agentic workflows, PEFT (e.g. LORA, QLORA, etc.).

• Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.

• Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.

• Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery.

Required Skills and Qualifications:

• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).

• At least 5 years of experience in software development, with relevant work experience in LLM app development.

• Strong coding skills with proficiency in Python and Javascript.

• Experience with API frameworks such as FastAPI, Django.

• Well-versed in implementation of web sockets, gRPC, access management using JWT.

• Proficient in cloud platforms, specifically AWS, Azure, or GCP.

Preferred Qualifications:

• Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred.

• Experience in production deployments involving thousands of users.

• Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.