AI/ML Engineer

AI/ML Engineer responsible for designing, developing, training, and deploying production-grade ML and GenAI models across use cases including NLP, computer vision, and structured data modeling.

Requirements

• 2–10 years of hands-on experience in developing, training, and deploying ML/DL/GenAI models
• Strong programming expertise in Python with proficiency in machine learning, data manipulation, and scripting
• Demonstrated experience working with Generative AI models and Large Language Models (LLMs)
• Hands-on experience with deep learning frameworks like TensorFlow, Keras, or PyTorch
• Experience in LangChain or similar frameworks for LLM-based app orchestration
• Proven ability to implement and scale CI/CD pipelines for ML workflows
• Familiarity with containerization (Docker) and orchestration tools like Kubernetes
• Experience working with cloud platforms (AWS, Azure, GCP) and relevant AI/ML services
• Knowledge of MLOps tools such as MLflow, Kubeflow, DVC, Weights & Biases, Airflow, and Prefect
• Strong understanding of data engineering concepts, including batch/streaming pipelines, data lakes, and real-time processing
• Solid grasp of statistical modeling, machine learning algorithms, and evaluation metrics
• Experience with version control systems (Git) and collaborative development workflows
• Ability to translate complex business needs into scalable ML architectures and systems

Benefits

• Collaborate with thought leaders across engineering, product, and data science
• Work in a dynamic, cloud-native, and automation-driven AI environment
• Accelerate your growth through certification programs and continuous learning