Artificial Intelligence Specialist

5 days ago

Vizag, Andhra Pradesh, India beBeeDataScience Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title:

Artificial Intelligence Specialist

Experience: 5+ Years, Location: Remote/Indore/Mumbai/Chennai/Gurugram, Industry: BPO/KPO or Healthcare Organization.

Key Responsibilities:
  • AI/ML Development & Research
  • Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems.
  • Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.
  • Build agent-based AI systems with autonomous decision-making capabilities.
  • Conduct cutting-edge research on emerging AI technologies and explore their practical applications.
Cloud Infrastructure & Full-Stack Development:
  • Architect and implement scalable, cloud-native ML/AI solutions using AWS, Azure, or GCP.
  • Develop full-stack applications that seamlessly integrate AI models with modern web technologies.
  • Build and maintain robust ML pipelines using cloud services (e.g., SageMaker, ML Engine).
  • Implement CI/CD pipelines to streamline ML model deployment and monitoring processes.
  • Design and optimize cloud infrastructure to support high-performance computing workloads.
Data Engineering & Database Management:
  • Design and implement data pipelines to enable large-scale data processing and real-time analytics.
  • Work with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.
  • Optimize database performance to support machine learning workloads and real-time applications.
  • Implement robust data governance frameworks and ensure data quality assurance practices.
  • Manage and process streaming data to enable real-time decision-making.
Leadership & Collaboration:
  • Mentor junior data scientists and assist in technical decision-making to drive innovation.
  • Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to develop solutions that align with organizational goals.
  • Present findings and insights to both technical and non-technical audiences in a clear and actionable manner.
  • Lead proof-of-concept projects and innovation initiatives to push the boundaries of AI/ML applications.

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