Data Scientist / AI Engineer -GST-Staff

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Job Title: AI Engineer - Expert Coder with ML-DL-GenAI

Experience Level: 3-6 years

Job Description: We seek a Deep Tech AI Engineer with exceptional coding skills and advanced AI knowledge. The ideal candidate will have a top-tier Computer Science or Information Science degree, a problem-solving mindset, and cloud platform proficiency. The role involves crafting and developing AI solutions, mastering new technologies, and delivering high-quality tech modules.

Key Responsibilities:

• Develop machine learning models and deep learning algorithms with excellent coding (both of PoC and Production).
• Build Agentic AI and General AI systems using advanced technical knowledge.
• Performing EDA for the customer provided data.
• Integrate AI technologies into products and services, maintaining high code standards.
• Improve AI system performance and reliability through superior coding.
• Rapidly integrate new AI methods and technologies.
• Deliver AI solutions that meet stakeholder needs and business value.
• Own AI projects from concept to deployment, focusing on clean, efficient code.

Tool Requirements:

• Proficiency in Python (mandatory), Java (optional) with a portfolio showcasing quality code.
• Experience and proficiency with machine learning and  deep learning theory along with frameworks (Sklearn, TensorFlow, PyTorch, Keras) and relevant cloud services (Azure, AWS, Google Cloud).
• Production grade experience with tools for developing Agentic AI and General AI - OpenAI APIs (GPT-4, DALL·E, Codex , Google Gemini, Mistral, Llama 2/3, AutoGen, CrewAI, LangChain, LangGraph, Pinecone, FAISS, Chroma
• Familiarity with MLOps and data engineering tools with practical exposure for relevant cloud services (Azure, AWS, Google Cloud).
• Experience with Docker, Kubernetes, Git, and CI/CD tools will be a great add-on.

Qualifications:

• Bachelor's or Master's from IITs, NITs, IIITs, BITS, MIT (Manipal), PES, or similar.
• 3-6 years in machine learning and AI technologies, underpinned by strong coding skills.
• Excellent analytical, problem-solving, and communication skills.

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