AI Machine Learning Engineer

3 days ago


Guntur, Andhra Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Overview

We are seeking a seasoned Data Architect to lead the development of our machine learning and AI solutions. As a key member of our team, you will be responsible for designing, building, and deploying scalable and cloud-native ML/AI systems using leading platforms such as AWS, Azure, or GCP.

About the Role

  • Key Responsibilities:
  • Develop and implement advanced machine learning models to solve complex business problems.
  • Design and deploy 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.
  • Perform model evaluation, validation, and continuous optimization to ensure high performance.

Technical Requirements

  • Programming Skills:
  • Expertise in Python, with proficiency in R, Java/Scala, JavaScript/TypeScript.
  • Experience with deep learning frameworks and neural networks.
  • Familiarity with cloud platforms and full-stack development.
  • Knowledge of data engineering and database management principles.

Education and Experience

  • Qualifications:
  • Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
  • 3+ years of experience working with deep learning frameworks and neural networks.
  • 2+ years of experience with cloud platforms and full-stack development.

Benefits

  • Negotiables:
  • Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCP.
  • Build and maintain ML pipelines using cloud services.
  • Implement CI/CD pipelines for ML model deployment and monitoring.
  • Work with both SQL and NoSQL databases.

Requirements

  • Preferred Skills:
  • Vector databases and embeddings.
  • Knowledge of LangChain, LlamaIndex, or similar LLM frameworks.
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