Job
Description
You will join our team as the Analytics Lead, overseeing the development and integration of AI/ML models across both in-house and offshore teams. Your role will be crucial in 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. Your key responsibilities will include leading the development and integration of AI/ML models by aligning objectives, timelines, and technical specifications for both in-house and offshore teams. You will provide guidance on model development, validation, and integration practices, ensuring consistency with internal standards and access to necessary resources. Furthermore, you will be responsible for validating models and algorithms developed by the teams, ensuring they meet business needs and are scalable for deployment. Your role will involve conducting in-depth reviews of model architecture, training data, and feature engineering to provide actionable feedback for improving model performance. Establishing and maintaining clear communication channels between teams will be crucial, ensuring alignment with project goals and timelines. Regular sync-ups with teams, tracking progress, addressing challenges, and leveraging collaboration tools will be part of your responsibilities. You will also develop comprehensive model evaluation strategies, guide teams on addressing model issues, and ensure models are deployed with adequate monitoring. Mentoring team members for their professional growth, organizing knowledge-sharing sessions, and promoting a culture of innovation and research will be integral to your role. To be successful in this role, you must have a Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field. You should possess 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.,