Senior AI Specialist

3 days ago

Dombivli, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Opportunity: We seek a highly skilled AI Specialist to craft robust, scalable solutions for cutting-edge applications.

Key Responsibilities
  • Develop and Optimize Models: Design, implement, and refine machine learning models using Python libraries such as TensorFlow, PyTorch, or scikit-learn to solve complex business challenges.
  • Graph-Based Solutions: Construct and optimize graph-based algorithms and data structures using libraries like NetworkX or PyG (PyTorch Geometric) for tasks such as network analysis, fraud detection, or knowledge graphs.
  • SQL and Data Management: Author advanced 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: Create 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 strategic architectural decisions and innovative AI 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).
Requirements
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. PhD is an asset.
  • 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 (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
  • Advanced Python programming skills (e.g., Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • Experience with graph libraries (e.g., NetworkX, PyG, or DGL) and graph databases.
  • Expert-level 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
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work in a fast-paced, innovative environment.

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