AI ML Engineer
Lifesight
Office
Bangalore South, India
Full Time
scope out potential business use cases.
● Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI
frameworks.
● Perform model optimization for performance, scalability, and accuracy.
● Implement advanced feature engineering techniques for both structured and unstructured
data.
● Leverage leading libraries like TensorFlow, and PyTorch for experimentation and production.
● Build and optimize machine learning pipelines with tools like Vertex AI.
● AI Agent Development: Design and implement autonomous AI agents aimed at optimization
using custom prompting and agentic workflows.
Requirements
● Have 3-6 years of experience in the Data Science / Machine learning domain.● Possess a bias for action with a track record of solving technical challenges creatively.
● Experienced in 0→1 MVP development and iterative prototyping.
● Knowledgeable and experienced in leveraging LLMs, RAG and Agentic frameworks.
● Passionate about staying up to date with AI trends and best practices.
● Strong expertise in Python, proficiency in TensorFlow, PyTorch, and MLOps practices;
experience in cloud-based deployment and machine learning frameworks.
● Technical expertise - Hands-on experience with Gen AI, RAG, Graph AI and LLM's.
● Experience with cloud platforms such as AWS or GCP including AI/ML services.
● Knowledge of LLMs, vector databases, and applied Gen-AI techniques and frameworks
(RAG, Agentic AI orchestration, LangChain, LlamaIndex, etc)
Benefits
What is in it for the candidate :
As a team, we are concerned with not only the growth of the company, but each other’s personal growth and well being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun filled Friday’s events with a prioritizing healthy work-life balance.
1. Working for one of the fastest growing and successful MarTech companies in times
2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products.
3. Enjoy working in small teams and a non bureaucratic environment
4. Enjoy an environment that provides high levels of empowerment and space to achieve your Objectives and grow with organization.
5. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career
6. Great benefits - apart from competitive compensation & benefits
7. Above all - a “fun” working environment.
AI ML Engineer
Office
Bangalore South, India
Full Time
August 7, 2025