Data Science Developer

15 hours ago

Jamnagar, Gujarat, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Imagine a world where artificial intelligence and machine learning come together to drive business growth, efficiency, and innovation. As a Machine Learning Engineer, you will play a key role in shaping this future by developing and deploying cutting-edge AI solutions that transform industries and redefine what is possible.

The ideal candidate will possess a strong foundation in machine learning, graph algorithms, SQL, and generative AI, with hands-on experience in designing, implementing, and fine-tuning machine learning models using Python libraries such as TensorFlow, PyTorch, or scikit-learn. They will also have expertise in graph-based algorithms and data structures, with knowledge of libraries like NetworkX or PyG (PyTorch Geometric) for applications such as network analysis, fraud detection, or knowledge graphs.

A successful Machine Learning Engineer will be able to write complex SQL queries to manage, transform, and analyze large datasets, ensuring efficient data pipelines and integration with databases like PostgreSQL, MySQL, or SQLite. Additionally, they will 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.

To excel in this role, the candidate should have a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. A PhD is a plus. At least 5+ years of professional Python programming experience and 3+ years of hands-on experience in machine learning model development and deployment are required. Proven expertise in graph algorithms, graph databases, or graph-based machine learning is also necessary.

We are looking for someone who possesses:

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