Senior Artificial Intelligence/Machine Learning Developer

Job Description : AI/ML Engineer

We are seeking a highly skilled and experienced AI/ML Engineer to design, build, and deploy cutting-edge machine learning solutions that drive business value.

The ideal candidate will have a strong foundation in MLOps, deep learning, and scalable cloud deployment.

Experience :

- 5+ years of hands-on experience in AI/ML development, building and delivering production-grade machine learning models.

- Proven expertise in Python programming and extensive experience with core ML frameworks.

- Cloud deployment experience (AWS, Azure, or GCP) is highly preferred.

Key Responsibilities :

The AI/ML Engineer will be responsible for the full lifecycle of machine learning solutions :

1. Model Development and Training :

- Build, train, and validate high-performance machine learning and deep learning models to solve complex business problems.

- Perform extensive data preprocessing, cleaning, and feature engineering to prepare large, complex datasets for modeling.

- Benchmark models and optimize performance metrics relevant to the business objective.

2. MLOps and Deployment :

- Containerize models using Docker and prepare them for deployment in cloud environments.

- Manage the deployment of models onto cloud platforms (AWS, Azure, or GCP) using orchestration tools like Kubernetes and serving solutions via REST APIs.

- Utilize MLOps tools like MLflow for experiment tracking, model registry, and reproducible workflows.

3. Monitoring, Maintenance, and Collaboration :

- Monitor and maintain model performance in production, detecting and addressing model drift, data drift, and performance degradation.

- Design and implement feedback loops to continuously retrain and improve models.

- Collaborate with cross-functional teams (Data Scientists, Software Engineers, Product Managers) to understand requirements, define project scope, and integrate ML solutions into production systems.

Nice-to-Have Skills :

- Experience with data visualization tools and libraries (Matplotlib, Tableau).

- Familiarity with CI/CD pipelines and strong adoption of software engineering best practices (testing, modular design).

- Exceptional communication and documentation skills.

- Awareness of Responsible AI principles and data ethics in machine learning development.