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.
(ref:hirist.tech)
