AI/ML Engineer - Data Modeling

Role : AI/ML Engineer

- Location : Pune/ Hyderabad

- Experience : 5 - 8 Years

- Work model : WFO only

- Notice period : Only 15 days or less

About company :

We are a new-age, AI-first Digital & Cloud Engineering Services company. Our mission is to combine deep engineering expertise with automation-first thinking and AI-native execution to help clients achieve more with speed, precision, and measurable impact.

We work at the intersection of automation, AI, and agile engineering to deliver scalable, high-performance solutions that enable businesses to move faster and operate smarter.

Role Overview :

We are seeking an experienced and driven Senior AI/ML Engineer with 5-8 years of experience in AI/ML - Predictive ML, GenAI and Agentic AI. The ideal candidate should have a strong background in developing and deploying machine learning models, as well as a passion for innovation and problem-solving.

- As an AI/ML Solution Engineer, design, develop, and deploy machine learning models and algorithms.

- Conduct research and stay up-to-date with the latest advancements in AI/ML, GenAI, and Agentic AI.

- Lead a team of junior AI engineers, providing direction and support.

Requirements :

- Bachelors or Masters degree in computer science / AIML / Data Science.

- 5 to 8 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and LLM models for solving business problems.

- Proven experience working with Generative AI technologies, including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems.

- Expertise in Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch,?transformers (e.g., Hugging Face), or MLlib.

- Experience in working on Agentic AI frameworks like Autogen, Langgraph, CrewAI, Agentforce etc

- Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure, including the use of their Gen AI services.

- Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments.

- Experience with scripting in SQL, extracting large datasets, and designing ETL flows.

- Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions.

- Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.