We are looking for to work with Software Engineers and Management team build AI and ML solutions.
What You'll Do
- Build AI/ML technology stacks from concept to production, including data pipelines, model training, and deployment.
- Develop and optimize Generative AI workflows, including prompt engineering, fine-tuning (LoRA, QLoRA), retrieval-augmented generation (RAG), Agentic workflow and LLM-based applications.
- Work with Large Language Models (LLMs) such as Llama, Mistral, GPT, Gemini ensuring efficient adaptation for various use cases.
- Design and implement AI-driven automation using agentic AI systems and orchestration frameworks like Langchain, LangGraph, Google ADK.
- Act as an Agentic AI expert, providing guidance and mentorship to other data scientists and team members.
- Stay updated on Generative AI advancements and propose new applications to solve business problems.
- Collaborate with cross-functional teams to deliver AI-driven solutions.
- Strong Data & Analytics Skills – Proficiency in SQL & Python for data wrangling, analytics, and automation
- Build predictive models, statistical models, deep learning models, and other machine learning systems.
What You'll Bring
- Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Mathematics, Statistics, Physics, Engineering or a related field.
- 2+ years of experience in AI/ML, with expertise in Generative AI and LLMs.
- Strong proficiency in Python and experience with AI/ML frameworks like PyTorch and TensorFlow.
- Knowledge of advanced prompt engineering techniques (Chain of Thought, Few-Shot, Self-Consistency).
- Experience in AI workflow automation and model orchestration.
- Hands-on experience with API development using Flask or Fast API.
- Knowledge of Statistics, Machine Learning and data analysis.
- Strong analytical skills and the ability to work in a collaborative environment.
Job Types: Full-time, Permanent
Pay: From ₹100,000.00 per month
Benefits:
- Flexible schedule
- Health insurance
- Life insurance
- Paid sick time
- Provident Fund
Work Location: In person