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ML Engineer

ACME SERVICES PRIVATE LIMITED

8 - 10 years

3 - 7 Lacs

mumbai

Posted:1 week ago| Platform:

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Skills Required

model monitoring python machine learning data science ml data analytics natural language processing sas neural networks predictive analytics artificial intelligence sql deep learning r predictive modeling statistical modeling logistic regression

Work Mode

Work from Office

Job Type

Full Time

Job Description

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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