Senior Machine Learning Specialist

13 hours ago

Agra, Uttar Pradesh, India beBeeMachine Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title:

A Senior Machine Learning Specialist with Expertise in Graph Algorithms and Generative AI

  • Key Responsibilities:
  • Develop and optimize machine learning models using Python libraries such as TensorFlow, PyTorch, or scikit-learn to solve complex financial problems.
  • Design and implement 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.
  • Write complex SQL queries to manage, transform, and analyze large datasets, ensuring efficient data pipelines and integration with databases like PostgreSQL, MySQL, or SQLite.
  • Develop 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.
  • Collaborate with data scientists, engineers, and business teams to translate requirements into technical solutions, contributing to architectural decisions and innovative AI strategies.
Requirements and Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. PhD is a plus.
  • 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).
Technical Skills and Knowledge
  • Expert-level Python programming (e.g., Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • Experience with graph libraries (e.g., NetworkX, PyG, or DGL) and graph databases.
  • Advanced SQL skills for querying and optimizing large datasets.
  • Familiarity with generative AI frameworks (e.g., Hugging Face, LangChain, or OpenAI APIs).
  • Proficiency in version control (Git), CI/CD pipelines, and containerization (Docker).
  • Experience with cloud platforms (AWS, GCP, or Azure) for model deployment.
Soft Skills and Personality
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work in a fast-paced, innovative environment.

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