AI Engineer

AI Engineer

Must Have Technical/Functional Skills

Looking for an experienced AI Engineer (6–8 years) to design, develop, and deploy cutting-edge AI/ML solutions. The ideal candidate will have strong experience in machine learning, deep learning, data engineering, and building scalable AI systems for real-world applications.

Responsibilities:

• Build and optimize ML/Deep Learning models for NLP, CV, and predictive analytics.

• Develop end to end AI pipelines including training, deployment, and monitoring.

• Deploy models using Docker/Kubernetes and cloud platforms (Azure/AWS/GCP).

• Work with large datasets and build data pipelines using Python, SQL, and Spark/Databricks.

• Implement MLOps practices (CI/CD, model tracking, monitoring).

• Collaborate with cross functional teams to translate business needs into AI solutions.

Technical Skills

• Programming Languages: Python (strong expertise), SQL

• ML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn

• NLP/LLM Tools: Transformers, LangChain, OpenAI APIs

• Cloud Platforms: Azure/AWS/GCP (at least one required)

• MLOps: MLflow, Kubernetes, Docker, Git

• Big Data Tools: Spark, Hive, Databricks (preferred)

Experience

• 4–6 years of experience in AI/ML engineering roles.

• End-to-end experience from data preparation to model deployment.

• Building scalable production grade AI solutions.