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Analytics Lead

Analytics Lead

Siemens

7 - 11 years

0 Lacs

haryana

Posted:21 hours ago| Platform: Shine logo

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Skills Required

team leadership collaboration communication skills aiml model development model evaluation metrics optimization techniques managing inhouse offshore teams familiarity with collaboration tools innovation in aiml technologies

Work Mode

On-site

Job Type

Full Time

Job Description

As the Analytics Lead, you will play a crucial role in overseeing the development and integration of AI/ML models across both in-house and offshore teams. Your responsibilities will include ensuring model quality and scalability, promoting effective communication and collaboration, guiding model evaluation and performance optimization, mentoring team members, and fostering innovation and research in AI/ML techniques. Key Responsibilities: - Lead the development and integration of AI/ML models by aligning objectives, timelines, and technical specifications for both in-house and offshore teams. - Provide guidance on model development, validation, and integration practices, ensuring consistency with internal standards and access to necessary resources. - Validate models and algorithms developed by the teams, ensuring they meet business needs and are scalable for deployment. - Conduct in-depth reviews of model architecture, training data, and feature engineering to provide actionable feedback for improving model performance. - Establish and maintain clear communication channels between teams, ensuring alignment with project goals and timelines. - Develop comprehensive model evaluation strategies, guide teams on addressing model issues, and ensure models are deployed with adequate monitoring. - Mentor team members for their professional growth, organize knowledge-sharing sessions, and promote a culture of innovation and research. Qualification Required: - Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field. - 7+ years of experience in AI/ML model development and integration, with a focus on team leadership, collaboration, and understanding of model evaluation metrics and optimization techniques. - Strong communication skills, experience in managing in-house and offshore teams, familiarity with collaboration tools, and a passion for innovation in AI/ML technologies are essential qualifications for this position.,

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Analytics Lead