- 7+ years of hands-on experience in machine learning, AI engineering, or data science, with a track record of successfully deploying models in production.

- Extensive experience working with large datasets, building and fine-tuning ML models, and deploying on cloud platforms.

- Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with NLP and large language models

- Proficiency in Python and ML libraries (e.g., scikit-learn, Keras, Hugging Face).

- Strong experience in cloud-based ML services (e.g., AWS SageMaker, GCP AI Platform, Azure ML).

- Knowledge of MLOps tools and practices (e.g., MLflow, Airflow, Docker, Kubernetes).

What You'll Do :

- Prototyping - Frame GenAI use cases with experts; build quick LLM-based tools.

- Modeling - Fine-tune/prompt models; use ML/DS when GenAI isn't ideal.

- Engineering - Deploy models as scalable Azure services with CI/CD.

- Collaboration - Work with cross-functional teams; document and demo solutions.

- Learning - Stay updated on GenAI trends; share knowledge internally.

Must- Have Qualifications :

- Education - B.E./B.Tech or M.S. in Computer Science, Data Science, AI/ML or related field.

- Experience - ~5 years delivering production software or ML solutions, with at least 2 years hands- on with LLMs or other Gen AI models.

- Programming - Strong Python (FastAPI / LangChain / LangGraph); familiarity with TypeScript or C# a plus.

- Gen AI Tooling - Experience with OpenAI/Azure OpenAI SDKs, embeddings, vector databases (e.g., Azure Cognitive Search, Pinecone, FAISS).

- ML Fundamentals - Solid grasp of supervised/unsupervised learning, evaluation metrics, experiment tracking (MLflow, Weights & Biases).

- Cloud & DevOps - Comfortable deploying on Azure (App Service, Functions, ML, Container Apps), writing Dockerfiles, setting up pipelines (Azure DevOps/GitHub Actions).

- Data Handling - Proficient with SQL and Pandas; able to wrangle tabular, text, image and BIM/IFC data.

- Soft Skills - Clear communicator who can explain complex ideas to non- technical stakeholders; thrives in fast- paced, iterative environments.

Nice- to- Have :

- Knowledge of construction, engineering, manufacturing or related domain

- Front- end skills (React, Streamlit) for building user- facing Gen AI tools.

- Familiarity with Snowflake, Power BI or Tableau for analytics and visualization.

Location : Bangalore/ Hyderabad/ Pune