Position Summary

We are looking for a robust hands-on AI/ML Engineer with 4+ years of experience who can independently design, develop, train, evaluate, and deploy machine learning models from scratch . The ideal candidate should have strong fundamentals in ML/DL, excellent Python skills, and proven experience taking models from experimentation to production.

Key Responsibilities

- Design and develop AI/ML models from scratch based on business and technical requirements.
- Perform data collection, preprocessing, feature engineering, model selection, training, tuning and evaluation.
- Develop and optimize supervised and unsupervised machine learning models.
- Work on Deep Learning/NLP/GenAI use cases as applicable.
- Build complete ML pipelines from data preparation to model deployment and monitoring.
- Perform model experimentation and improve accuracy, performance, scalability and reliability.
- Apply statistical and machine-learning techniques to solve complex business problems.
- Conduct model validation, error analysis, A/B testing and performance benchmarking.
- Collaborate with Data Engineers, Software Engineers, Product Managers and business stakeholders.
- Productionize ML models through APIs, batch pipelines or real-time inference systems.
- Implement MLOps practices, including model versioning, experiment tracking,



CI/CD and model monitoring.
- Stay current with emerging AI/ML techniques and evaluate their applicability to business problems.

Mandatory Technical Skills
- 4+ years of hands-on AI/ML development experience
- Strong Python programming skills.

- Strong understanding of

- Machine Learning algorithms
- Statistics & Probability

- Feature Engineering
- Model Evaluation & Optimization
- Regression & Classification

- Clustering

- Ensemble methods
- Hands-on experience with Scikit-learn, Pandas, NumPy.
- Strong experience with PyTorch and/or TensorFlow.
- Ability to build ML models from scratch, rather than only consuming pre-built APIs/models.
- Experience with model hyperparameter tuning and performance optimization.
- Strong SQL and data-handling skills.
- Experience developing production-ready ML solutions.

Good to Have
- NLP / LLM / Generative AI experience.
- Experience with Transformers, Hugging Face, LangChain or similar frameworks.
- Computer Vision experience.
- Experience with AWS / Azure / GCP.
- Docker and Kubernetes.
- MLflow, Kubeflow or other MLOps platforms.
- REST API development using FastAPI/Flask.
- Experience with Spark/PySpark.
- Experience deploying models at scale.

Skills: machine learning,llm,aiml

📌 AIML Engineer (Kolkata Metropolitan Area)
🏢 Zorba AI
📍 Kolkata Metropolitan Area