Artificial Intelligence/Machine Learning Engineer - Data Modeling

Description :

We are seeking an experienced AI/ML Engineer with 46 years of hands-on expertise in Machine Learning, Python, and AWS Cloud. The ideal candidate will design, build, and deploy ML models and pipelines while working closely with cross-functional teams to deliver scalable AI-driven solutions.

Key Responsibilities :

- Develop, train, and deploy ML models (supervised, unsupervised, NLP, deep learning as applicable).

- Build scalable end-to-end ML pipelines using AWS services (SageMaker, Lambda, S3, EC2, ECS, Step Functions, Glue, etc.).

- Perform data preprocessing, feature engineering, and model optimization.

- Implement and maintain MLOps practices, including CI/CD for ML workflows.

- Work with large datasets and ensure data quality, integrity, and performance.

- Collaborate with product, data engineering, and business teams to translate requirements into ML solutions.

- Monitor deployed models and ensure reliability and performance in production.

- Stay updated with the latest AI/ML and cloud technologies and recommend improvements.

Required Skills & Qualifications :

- 46 years of hands-on experience in AI/ML development.

- Strong programming expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch).

- Solid experience with AWS Cloudespecially ML-related services.

- Experience with designing & deploying scalable ML pipelines using AWS.

- Strong understanding of data structures, algorithms, and ML fundamentals.

- Practical experience with MLOps, version control (Git), and CI/CD tools.

- Experience with API development (Flask/FastAPI) is a plus.

- Excellent problem-solving and communication skills.

Nice-to-Have Skills :

- Knowledge of NLP, Deep Learning, or Large Language Models (LLMs).

- Experience with Docker, Kubernetes, or AWS ECS/EKS.

- Familiarity with data engineering tools (Glue, Redshift, EMR).

- Experience working in Agile/Scrum environments.