Senior Artificial Intelligence Developer Leader

21 hours ago

Pune, Maharashtra, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title:

AI/ML Team Lead

About the Role:

The successful candidate will be responsible for leading a team of experienced engineers and data scientists in the development of cutting-edge artificial intelligence and machine learning solutions. Key responsibilities include architecting and designing AI/ML models, collaborating with cross-functional teams to integrate AI/ML models into production systems, conducting performance reviews, and guiding career development for team members.

Key Responsibilities:

  • Lead and manage a team of AI/ML engineers and data scientists, setting clear goals, providing mentorship, and promoting a collaborative and growth-focused culture.
  • Foster innovation and create an environment that encourages creative problem-solving and the application of state-of-the-art machine learning techniques.
  • Architect and design AI/ML models for various use cases, such as predictive analytics, natural language processing (NLP), computer vision, recommendation systems, and optimization problems.
  • Collaborate with product managers and stakeholders to understand business requirements and translate them into effective AI/ML solutions.
  • Develop and implement AI/ML algorithms and integrate them into production systems to solve complex business problems and enhance the overall user experience.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field.
  • 5+ years of experience working in AI/ML development, with a proven track record of designing, deploying, and managing machine learning models and solutions.
  • 2+ years of experience in a leadership or managerial role, overseeing a team of AI/ML engineers or data scientists, and driving projects to completion.
  • Strong experience in modeling and designing machine learning solutions across various domains (e.g., NLP, computer vision, predictive analytics, etc.).
  • Experience working with big data tools and frameworks (e.g., Hadoop, Spark, Kafka) and knowledge of handling large datasets for training models.

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