Sr Associate-Data And ML Engg

Job Summary

The Sr Associate-Data & ML Engg will play a crucial role in validating and testing AI/ML models to ensure their accuracy and reliability. With a focus on AI and ML concepts the candidate will work from our office during day shifts. This role requires a deep understanding of AI/ML validation and testing processes and the ability to apply these skills to enhance our data-driven solutions.

Responsibilities

• Lead the validation and testing of AI/ML models to ensure they meet quality standards and performance benchmarks.
• Oversee the implementation of AI/ML concepts to improve model accuracy and efficiency.
• Provide technical expertise in AI/ML validation and testing to support project teams.
• Collaborate with data scientists and engineers to refine AI/ML models based on testing outcomes.
• Develop comprehensive test plans and strategies for AI/ML models.
• Analyze test results to identify areas for improvement and optimization in AI/ML models.
• Ensure compliance with industry standards and best practices in AI/ML validation.
• Document testing procedures and results to maintain transparency and traceability.
• Communicate testing outcomes and recommendations to stakeholders effectively.
• Utilize advanced tools and techniques for AI/ML model testing and validation.
• Contribute to the continuous improvement of AI/ML testing methodologies.
• Support the integration of validated AI/ML models into production environments.
• Drive innovation in AI/ML testing processes to enhance overall project outcomes.
  
  

• Possess a strong understanding of AI/ML concepts and their practical applications.
• Demonstrate expertise in AI/ML validation and testing methodologies.
• Exhibit proficiency in using AI/ML testing tools and frameworks.
• Have a solid background in data engineering and machine learning principles.
• Show experience in collaborating with cross-functional teams to achieve project goals.
• Display excellent problem-solving skills and attention to detail.
• Maintain up-to-date knowledge of industry trends and advancements in AI/ML.