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Senior Artificial Intelligence / Machine Learning Developer

Senior Artificial Intelligence / Machine Learning Developer

stpMumbai
1 day ago
Job description

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.
  • (ref : hirist.tech)

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