Job Summary :

We are looking for a highly skilled Senior AI / Machine Learning Engineer with strong experience in building, deploying, and scaling AI/ML solutions in production environments. The ideal candidate will have hands-on expertise across NLP, GenAI, and traditional ML techniques, along with exposure to cloud-based deployments and enterprise integrations.

Key Responsibilities :

- Design, develop, and deploy end-to-end AI/ML pipelines for real-world business use cases.

- Build and optimize machine learning models using supervised and unsupervised techniques (classification, regression, clustering, etc.).

- Develop and deploy NLP/NLU/NLG solutions including chatbots and conversational AI using frameworks like RASA.

- Work on GenAI applications such as custom GPT models, embeddings, and RAG (Retrieval-Augmented Generation) pipelines.

- Process and analyze structured and unstructured data using Python-based data science tools.

- Integrate AI/ML models into enterprise systems and customer-facing applications.

- Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.

- Ensure model performance, scalability, security, and reliability in production environments.

- Participate in code reviews, version control, and CI/CD workflows using GitLab/GitHub.

Required Technical Skills :

- Backend & Frameworks : Node.js, Express.js, Python, Java

- Databases : MongoDB, MySQL, SQL

Machine Learning & AI :

- TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers

- ML algorithms : classification, regression, clustering, etc.

- NLP/NLU/NLG techniques

- Libraries : Pandas, NumPy, XGBoost, LightGBM, Keras

- Conversational AI : RASA

- Data Engineering : ETL pipelines

- Development Tools : Jupyter Notebook, VS Code, Git

- Operating Systems : Windows, Ubuntu, Linux

- Cloud : Exposure to AWS-based deployments

Domain Experience (Preferred) :

- Finance

- Retail

- Healthcare

- Logistics

- E-commerce

Experience working on use cases such as :

- Fraud detection

- Demand forecasting

- Churn prediction

- Sentiment analysis

- Document understanding

Qualification & Experience :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field (BE/B.Tech / ME/M.Tech).

- Minimum 6 to 8 years of relevant industry experience.

- Proven experience deploying AI/ML solutions into production.

- Strong problem-solving and critical thinking skills.

- Excellent written and verbal communication skills.

Preference :

- Candidates currently based in Nagpur or willing to relocate to Nagpur will be preferred.