AI Innovation Specialist

10 hours ago

Ahmedabad, Gujarat, India beBeeInnovation Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Description

As an AI Exploration Engineer, you will be responsible for designing and executing machine learning experiments to evaluate emerging AI technologies and frameworks.

You will prototype and assess end-to-end AI solutions to inform product strategy, formulate hypotheses, and conduct structured evaluations to compare technical approaches.

We seek a highly skilled professional with a Bachelor's degree in computer science, data science, information technology, statistics, economics, or a related STEM field, with 3+ years of experience building machine learning-powered applications or tooling.

Strong proficiency in Python is required, along with experience working with modern ML/AI libraries (e.g., PyTorch, Hugging Face), understanding of model tuning, prompt engineering, or retrieval-augmented generation (RAG) patterns.

Experience developing and deploying applications in cloud environments (e.g., AWS, GCP, or Azure) is also necessary, as is demonstrated ability to independently prototype, test, and iterate on technical ideas, familiarity with ML evaluation techniques and structured experimentation workflows, and proficiency with version control systems, CI/CD practices, and ML observability tools.

Required Skills and Qualifications
  • Bachelor's degree in computer science, data science, information technology, statistics, economics, or a related STEM field.
  • 3+ years of experience building machine learning-powered applications or tooling.
  • Strong proficiency in Python.
  • Familiarity with modern ML/AI libraries (e.g., PyTorch, Hugging Face).
  • Understanding of model tuning, prompt engineering, or retrieval-augmented generation (RAG) patterns.
  • Experience developing and deploying applications in cloud environments (e.g., AWS, GCP, or Azure).
Benefits

This role offers the opportunity to work with cutting-edge AI technologies and frameworks, develop innovative solutions, and contribute to the definition of best practices for experimentation, evaluation, and technical decision-making.

Others

We value collaboration, communication, and continuous learning. If you are passionate about AI, innovation, and problem-solving, we encourage you to apply.

Mandatory skills: Python, PyTorch, Hugging Face, AWS, GCP, Azure, Docker, Kubernetes, CI/CD practices, ML observability tools, model tuning, prompt engineering, RAG patterns, version control systems, structured experimentation workflows, STEM field education, data science, information technology, statistics, economics, ML/AI libraries, cloud environment deployment, application development, technical idea iteration, research synthesis, result communication, investment guidance, adoption decisions, LLM orchestration, agent frameworks, model assessment, proof-of-concept systems, scalable modular systems, experimentation definition, technical decision-making, collaborative team environment, clear concise technical findings, technical audience communication, non-technical audience communication, recruitment process, job interview, candidate selection, company culture, business operations, financial management, employee training, customer support.

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