AI and Data Science Leader

7 days ago

Anantapur, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Leadership Position: Data Science and AI

This is a senior leadership role that focuses on leading data science and artificial intelligence initiatives. The ideal candidate will have a strong background in machine learning modeling and deployment, with a proven track record of delivering business value through data-driven insights.

  • Engage with clients to understand their business objectives and challenges, providing data-driven recommendations and AI/ML solutions that enhance decision-making and deliver tangible value.
  • Translate business needs into well-defined machine learning problem statements and solution workflows, particularly within financial services domains such as marketing, risk, compliance, and customer lifecycle management.
  • Solve business problems using analytics and machine learning techniques: Conduct exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.
  • Develop and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization.
  • Design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
  • Collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.
  • Be a master storyteller for our services and solutions to our clients at various stages of engagement, such as pre-sales, sales, and delivery, using data-driven insights.
  • Stay current with developments in AI, ML modeling, and data engineering best practices, and integrate them into project work.
  • Mentor junior team members, provide guidance on modeling practices, and contribute to an environment of continuous learning and improvement.

Key Requirements:

  • Strong background in machine learning modeling and deployment.
  • Proven track record of delivering business value through data-driven insights.
  • Excellent communication and storytelling skills.
  • Ability to collaborate with cross-functional teams.
  • Experience with cloud-native ML pipelines and APIs.
  • Stay current with developments in AI, ML modeling, and data engineering best practices.

Benefits:

  • Opportunity to lead data science and AI initiatives.
  • Collaborative and dynamic work environment.
  • Ongoing training and professional development.
  • Chance to work with cutting-edge technologies.

Additional Information:

  • Full-time position.
  • Relocation assistance available.
  • Competitive salary and benefits package.

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