AI/ML Engineer -Tech Lead

Overview

Build and implement generative AI and machine learning solutions in Python, deploying them on cloud platforms and integrating them into existing software frameworks. Works alongside AI/ML Engineers, Data Scientists and Software Engineers, and provides technical mentorship to less experienced team members.

What you'll do

• Implement AI and ML models in Python, with an emphasis on precision, efficiency and scalability.
• Conceptualize and construct data pipelines, preprocessing utilities and feature engineering systems with cross-functional teams.
• Deploy and scale AI and ML models using cloud platforms, notably Azure.
• Integrate AI and ML models seamlessly into existing software frameworks and infrastructure.
• Refine and optimize models to enhance performance and efficiency.
• Apply prompt engineering and optimization techniques.
• Work with agent frameworks and libraries.
• Stay abreast of the latest breakthroughs in AI and ML technologies and frameworks.
• Engage with diverse teams to gather requirements and translate them into technical strategies.
• Mentor and offer technical guidance to less experienced team members.

What you'll need

• BS, B.Tech or Master's in Computer Science, Computer Information Systems Engineering or Mathematics.
• 2+ years of experience in Python programming for AI/ML development.
• Strong experience in Python programming for AI/ML development.
• Proficiency in machine learning algorithms, techniques and frameworks.
• Familiarity with large language models, such as GPT or BERT, for advanced natural language processing tasks.
• Hands-on experience with Azure or AWS cloud platforms, including machine learning services and tools.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

Nice to have

• Proficiency in prompt engineering for machine learning models.
• Familiarity with Databricks or Azure or AWS for scalable data processing and analytics.
• Knowledge of containerization technologies, such as Docker, for efficient deployment and management of AI/ML solutions.

Details

• Location: Bangalore, India.
• Work schedule: On-premise.
• Role described as 3-7 years of professional experience.