AI and Machine Learning Technical Lead

17 hours ago


Guntur, Andhra Pradesh, India beBeeArtificial Full time ₹ 1,20,00,000 - ₹ 1,50,00,000
Job Title

Achieve excellence in AI and ML to lead high-performing teams and drive innovation.

Key Responsibilities:

  • Provide technical vision, direction, and strategy for AI/ML initiatives.
  • Lead a team of data engineers, MLOps engineers, and machine learning engineers to develop and deploy robust, scalable, and efficient ML models.
  • Contribute to AI/ML architecture design and implementation.
  • Collaborate with cross-functional teams to translate business needs into production-grade AI/ML solutions.
  • Serve as a primary point of contact for stakeholders, ensuring clear communication and alignment with project goals.
  • Guide AI/ML engineers on business objectives, connecting the dots, and helping the team create optimal ML models based on use cases.
  • Manage day-to-day operations, ensuring adherence to process, scope, quality, and timelines.
  • Assume the role of an engagement coordinator between teams.
  • Highlight risks and concerns to leadership and work with multiple stakeholders to establish mitigation plans.
  • Proactively track delivery statuses and project progress, taking ownership of all deliverables.
  • Communicate effectively with team members, stakeholders, and management.
  • Stay up-to-date with the latest trends and advancements in AI and ML, identifying opportunities for the team to implement new models and technologies.
Required Skills and Qualifications
  • Bachelor's degree in engineering, computer science, or a related field.
  • 12-15 years of total experience, with at least 2 years of experience leading/managing AI/ML projects, achieving clear & measurable business objectives.
  • Strong understanding of US Health insurance with at least 3+ years of experience in the same.
  • Experience and understanding of the entire MLOps pipeline, from data ingestion to production.
  • Strong understanding of AI/ML concepts & algorithms, including supervised, unsupervised, and reinforcement learning, as well as MLOps.
  • Proven ability to take successful, complex ideas from experimentation to production.
  • Hands-on experience with Google Cloud Platform (GCP) or any public cloud platform.
  • Excellent communication, presentation, and interpersonal skills.
  • Proven experience in leading, motivating & inspiring teams to foster collaboration.
  • Proficient in identifying, assessing, and calling out risks and mitigation plans to stakeholders.
  • Experience in implementing process improvements and learning from past projects to enhance future performance.
  • Ability to analyze external and internal processes and create strategies for service delivery optimization.
  • Experience in working with diverse teams and stakeholders, understanding their needs and managing expectations.


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