Job Application

About Agratas:

Agratas is a wholly owned subsidiary of Tata Sons. We design, develop and manufacture high-quality, high-performance, sustainable batteries applied to multiple use cases in the mobility and energy sectors, to match our customers' requirements.

Agratas is a scale-up business with a start-up mentality, driven by our pursuit of green growth and technological progress.

We develop next-generation battery technologies at our state-of-the-art R&D Innovation Hubs in India and the UK

Position Overview:

We are seeking a highly skilled, energetic, experienced and future thinking AI Specialist to join our dynamic team. The ideal candidate will have a strong background in AI/ML algorithms, various AI/ML platforms, and Generative AI (GenAI) technologies. This role involves supporting the Data & AI leader in developing and executing the roadmap towards an AI-first organization. The candidate must have a proven track record of working in future-focused startups and possess 7 to 8 years of relevant work experience in AI.

Key Responsibilities:

• Collaborate with the Data & AI leadership to develop and implement the AI strategy and roadmap.
• Design, develop, and deploy AI/ML models and algorithms to solve complex business problems.
• Evaluate and integrate various AI/ML platforms and tools to enhance our AI capabilities.
• Lead projects involving Generative AI technologies to drive innovation and efficiency.
• Provide technical expertise and guidance to cross-functional teams on AI/ML best practices.
• Stay updated with the latest advancements in AI/ML and GenAI technologies and apply them to our projects.
• Mentor and train junior team members to build a strong AI talent pool within the organization.

Qualifications:

• Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, or a related field.
• 7 to 8 years of hands-on experience in AI/ML, with a focus on developing and deploying AI solutions.
• Extensive knowledge of AI/ML algorithms, frameworks, and platforms (eg, TensorFlow, PyTorch, Scikit-learn).
• Proficiency in programming languages such as Python, R, and Java.
• Experience with Generative AI technologies and their applications.
• Proven experience in working with future-focused startups and driving AI initiatives.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Excellent communication and presentation skills.

Technical Qualifications and Certifications:

• Certifications in AI/ML from recognized institutions (eg, Google Professional Machine Learning Engineer, AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate).
• Advanced knowledge of deep learning architectures (eg, CNNs, RNNs, GANs) and their practical applications.
• Experience with natural language processing (NLP) and computer vision techniques.
• Familiarity with MLOps practices and tools for model deployment and monitoring.
• Knowledge of big data technologies (eg, Hadoop, Spark) and data engineering principles.
• Experience with version control systems (eg, Git) and collaborative development workflows.
• Understanding of ethical AI practices and data privacy regulations.

Preferred Skills:

• Experience with cloud platforms (eg, AWS, Azure, Google Cloud) for AI/ML deployments.
• Knowledge of data engineering and data visualization tools.
• Familiarity with ethical AI practices and data privacy regulations.