AI Data Scientist

16 hours ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
Job Title:
Data Scientist

  • Data Science and AI Engineer.


Job Description:
We are seeking a skilled Data Scientist to join our team. As a key member of the AI Center of Excellence, you will be responsible for designing, developing, and deploying robust AI systems that drive business growth and innovation.

This is an opportunity to work with cutting-edge AI technologies and solve complex business challenges using machine learning models.

You will collaborate with data scientists, software engineers, and domain experts to integrate AI capabilities into cutting-edge products and solutions.

Design and develop scalable machine learning models and deploy them in production environments.

  • Build and implement agentic systems that can autonomously analyze tasks, process large volumes of unstructured data, and provide actionable insights.
  • Collaborate with data scientists, software engineers, and domain experts to integrate AI capabilities into cutting-edge products and solutions.
  • Develop deterministic and reliable AI systems to address real-world challenges.
  • Create and optimize scalable, distributed ML pipelines.
  • Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and reliability.
  • Stay abreast of advancements in AI technologies and incorporate them into business solutions.
  • Participate in code reviews, contribute to system architecture discussions, and continuously enhance project workflows.

Skills and Qualifications:
We are looking for candidates with a strong foundation in algorithms, data structures, and scalable system design.
  • Bachelor's or Master's degree in Computer Science, Engineering, or related fields with a solid academic track record.

Requirements:
4-8 years of hands-on experience in building AI systems or machine learning applications.
  • Proven experience in developing systems that utilize AI agents for automating complex workflows, analyzing unstructured data, and generating actionable outcomes.

AI Expertise:
Experience with machine learning frameworks like TensorFlow, PyTorch, or Hugging Face libraries. Familiarity with tools like MLflow, Kubeflow, Airflow, Docker, or Kubernetes.

Cloud Platforms:
Hands-on experience with AWS, Azure, or Google Cloud for deploying machine learning models.

Big Data:
Experience with data processing tools and platforms such as Apache Spark or Hadoop.

  • Excellent communication skills to articulate technical ideas effectively to both technical and non-technical stakeholders.
An opportunity to work with cutting-edge AI technologies and solve challenging business problems.

  • A collaborative, innovative, and inclusive work culture.
  • Continuous learning opportunities and access to advanced research.
  • Competitive salary and comprehensive benefits

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