AIML Engineer

Position Summary

We are looking for a strong 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.