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AI ML Engineer

Location

Bangalore South, India

JobType

full-time

About the job

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About the role

Who are we? Lifesight is a Unified Marketing Measurement platform that helps marketers make better decisions. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia and the UK. At Lifesight we believe in inspiring the future of business with AI and deep Data insights and are committed to building the world's best marketing intelligence and decisioning platform. Position Overview: This is a highly technical and hands-on role where you will be responsible for building AI systems from scratch, leveraging technologies such as Generative AI (Gen AI), RAG, Graph based systems and LLMs.that integrating automation tools and agents into existing business processes and operations, with humans in the loop, is the key to innovation and efficiency. We launched an internal initiative for executing this and we are building a team around this. What you'll do: Research & Scoping: Collaborate with stakeholders in various teams and departments to 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 You are perfect for the role if you: 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)

About the company

Lifesight is a unified marketing measurement platform that helps marketers move away from inaccurate attribution that leads to misallocated budgets & wasted ad spend. Lifesight leverages modern measurement techniques like marketing mix modeling, incrementality testing & causal attribution to help them make better decisions that result in sustainable & profitable growth. Our core features: Data centralization & operationalization: Eliminate data silos, data quality issues and inconsistencies so you get the right insights every time. Marketing effectiveness measurement: Measure the true causal impact of online and offline marketing on all sales so you can make the right decisions. Planning, forecasting & optimization: Achieve your marketing goals with predictability & confidence with AI-powered insights. Marketing intelligence & analytics: Navigate your way to profitable growth by blending marketing & finance to deliver continuous improvements. Lifesight offers full-funnel measurement for every industry: Ecommerce, Retail, Agencies, gaming, entertainment, B2B SaaS and Travel & lifestyle. Learn more at lifesight.io

Skills

Python
TensorFlow
PyTorch
MLOps
AWS
GCP
Vertex AI
LLMs
RAG
Agentic AI orchestration
LangChain
LlamaIndex