Senior AI Software Developer

2 weeks ago


Nagpur, Maharashtra, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

We are seeking a skilled professional with expertise in Machine Learning, Graph algorithms, SQL and Generative AI.

Key responsibilities include:

  • Designing, developing and deploying machine learning models using Python libraries like TensorFlow, PyTorch or scikit-learn to solve real-world financial problems.
  • Building and optimising graph-based algorithms and data structures using libraries like NetworkX or PyG (PyTorch Geometric) for applications such as network analysis, fraud detection or knowledge graphs.
  • Writing complex SQL queries to manage, transform and analyse large datasets, ensuring efficient data pipelines and integration with databases like PostgreSQL, MySQL or SQLite.
  • Designing and implementing generative AI models (e.g. LLMs, GANs or VAEs) using frameworks like Hugging Face, LangChain or custom solutions for tasks such as text generation, data augmentation or synthetic data creation.
  • Writing clean, modular and maintainable Python code, adhering to best practices and optimising for performance and scalability in production environments.
  • Collaborating with data scientists, engineers and business teams to translate requirements into technical solutions, contributing to architectural decisions and innovative AI strategies.
  • Deploying machine learning and generative AI models to production environments using tools like Docker, Kubernetes or cloud platforms (AWS, GCP, Azure).

Required qualifications include:

  • A degree in Computer Science, Data Science, Mathematics or a related field.
  • 5+ years of professional Python programming experience.
  • 3+ years of hands-on experience in machine learning model development and deployment.
  • Proven expertise in graph algorithms, graph databases (e.g. Neo4j) or graph-based machine learning.
  • Strong proficiency in SQL and relational database management.
  • 2+ years working with generative AI models (e.g. LLMs, GANs or diffusion models).

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