Senior Machine Learning Engineer Position

2 weeks ago

Thoothukudi, Tamil Nadu, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,51,00,000
Job Opportunity

We are seeking an experienced professional to fill a key position in our organization.

  • Develop and Optimize ML Models: Utilize Python libraries such as TensorFlow, PyTorch, or scikit-learn to design, implement, and fine-tune machine learning models for real-world applications.
  • Graph-Based Solutions: Build and optimize graph-based algorithms and data structures using libraries like NetworkX or PyG (PyTorch Geometric) for network analysis, fraud detection, or knowledge graphs.
  • SQL and Data Management: Write complex SQL queries to manage, transform, and analyze large datasets, ensuring efficient data pipelines and integration with databases like PostgreSQL, MySQL, or SQLite.
  • Generative AI Development: Design and implement 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.
  • 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, contributing to architectural decisions and innovative strategies.
  • Data Pipeline Development: Build and maintain ETL pipelines to preprocess and integrate data for machine learning and graph-based applications, using tools like Apache Airflow or Pandas.
  • Model Deployment: Deploy machine learning and generative AI models to production environments using tools like Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure).

Key Requirements:

  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.
  • Experience:
  • 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, or graph-based machine learning.
  • Strong proficiency in SQL and relational database management.
  • 2+ years working with generative AI models.

Preferred Qualifications:

  • Experience with large-scale distributed systems and big data frameworks.
  • Familiarity with MLOps tools for model lifecycle management.
  • Knowledge of advanced graph algorithms.
  • Contributions to open-source AI or graph-related projects.

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