ML Engineer

6 days ago

Mumbai, Maharashtra, India ACME SERVICES PRIVATE LIMITED Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Develop and implement a robust and scalable AI/ML architecture that aligns with business objectives.

  • Design, develop architect scalable and robust AI/ML solutions and help productionize the workloads.
  • Define and enforce AI/ML architecture, standards and best practices including MLOps.
  • Help in accuracy and robustness improvements for AI systems which have been developed.
  • Implement model monitoring and performance optimization strategies. Ensure model scalability and reliability in production environments.
  • Enable innovation, efficiency and competitive advantage through AI/ML.

Cost-effectiveness of the AI/ML infrastructure.

  • Define the overall AI /ML architecture roadmap and patterns practices.
  • Research and analysis to identify emerging AI architecture, techniques and accuracy improvement trends and patterns and on the latest advancements in AI/ML.
  • Drive AI /ML /MLOps architecture definition and guidance on developing solutions.
  • Maintain a competitive edge and explore new business opportunities
  • Contribute to Infra architecture for ML model training and deployment.

Prototype and experiment with novel AI/ML techniques and applications.

  • Define the overall AI architecture roadmap and patterns, MLOPs practices.
  • Work on prototypes
  • Successful implementation of new techniques.
  • Drive innovation and research in AI/ML to identify and implement cutting-edge solutions.

Conduct regular audits and assessments of solutions.

  • Put together Auditing framework with various aspects on scoring method and execute.
  • Compliance with ethical guidelines and regulations.
  • Reduction in bias and fairness issues in models.
  • Conduct code reviews and architecture assessments and evaluations using standard techniques and best practices.

Develop and publish Evaluation Metrics

  • Design and put together AI auditing framework
  • Evaluate and select appropriate AI models and frameworks and help in evaluation POCs.

Contribute to presentation, content, awareness building and trainings of AI/ML.

  • Presentation and content development
  • Awareness building and communication
  • Training and capability building
  • Metrics and evaluation.

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