AI Software Developer

2 days ago

Thiruvananthapuram, Kerala, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking a skilled Machine Learning Engineer to design, develop, and deploy robust, scalable solutions using machine learning and generative AI.

Key Responsibilities:
  • Develop and Optimize ML Models: Design, implement, and fine-tune machine learning models using Python libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Graph-Based Solutions: Build and optimize graph-based algorithms and data structures using libraries like NetworkX or PyG (PyTorch Geometric).
  • SQL and Data Management: Write complex SQL queries to manage, transform, and analyze large datasets.
  • Generative AI Development: Design and implement generative AI models (e.g., LLMs, GANs, or VAEs) using frameworks like Hugging Face, LangChain, or custom solutions.
  • Code Quality and Scalability: Write clean, modular, and maintainable Python code, adhering to best practices, and optimize for performance and scalability in production environments.
  • Collaboration and Innovation: Work closely with data scientists, engineers, and business teams to translate requirements into technical solutions.
  • Data Pipeline Development: Build and maintain ETL pipelines to preprocess and integrate data for machine learning and graph-based applications.
  • Model Deployment: Deploy machine learning and generative AI models to production environments using tools like Docker, Kubernetes, or cloud platforms.
  • Research and Stay Current: Stay updated on advancements in machine learning, graph theory, and generative AI, applying cutting-edge techniques to enhance project outcomes.

Why This Role Matters

This role plays a crucial part in developing innovative solutions that drive business growth. As a skilled Machine Learning Engineer, you will work closely with cross-functional teams to design, develop, and deploy cutting-edge technology solutions.

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