📋 Job Details at a Glance 📍 Location India 🏢 Company Tata Power 👥 Experience 3-5 years 🎓 Qualification Bachelor’s / Master’s Degree in Computer Science, AI/ML, Data Science, Engineering or related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12–20 LPA 🏢 Industry Technology 🛠 Key Skills Python TensorFlow PyTorch Keras Scikit-learn NumPy Pandas YOLO CNN Machine Learning Lead Engineer – AI/ML at Tata Power — Full Details & How to Apply Tata Power is seeking a Lead Engineer – AI/ML to drive innovative solutions in AI technology. With a competitive salary of ₹12–20 LPA , this role offers a unique chance to influence the energy sector through advanced machine learning applications in India . The demand for AI/ML expertise in the energy sector is surging, making this role crucial for Tata Power 's digital transformation initiatives. As one of India's largest integrated power companies, Tata Power is at the forefront of adopting cutting-edge technologies to enhance operational efficiency and customer satisfaction. Founded in 1915 , Tata Power is notable not only for its scale—employing over 12,000 people—but also for its commitment to sustainability and innovation. This role directly contributes to the development and deployment of AI/ML models that are vital for the company's growth and adaptation in a rapidly evolving market. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s / Master’s Degree in Computer Science, AI/ML, Data Science, Engineering or related field and 3-5 years experience to apply. This position is ideal for those looking to make their mark in the tech industry, especially with a salary range of ₹12–20 LPA . In this role, you will gain hands-on experience with essential skills and technologies such as Python , TensorFlow , PyTorch , Keras , Scikit-learn , NumPy , Pandas , and cloud platforms like AWS and Azure . This exposure not only enhances your technical expertise but also opens doors for rapid career advancement in a leading tech environment. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Lead Engineer – AI/ML at Tata Power is responsible for developing advanced AI/ML models that enhance predictive analytics, directly impacting business outcomes and operational efficiency. Develop and optimize AI/ML models using TensorFlow and PyTorch to improve predictive analytics capabilities across various projects. Implement machine learning pipelines utilizing Scikit-learn and Pandas for effective data preprocessing and model evaluation. Collaborate with cross-functional teams, including Data Engineering and Product Management, to align AI initiatives with Tata Power 's strategic objectives. Monitor model performance metrics to ensure accuracy and reliability, utilizing AWS SageMaker for deployment and management. Take ownership of project timelines and deliverables, ensuring alignment with Tata Power 's goals and objectives. Document technical processes and model architectures for knowledge sharing and compliance, enhancing team collaboration. Engage with clients to understand their needs and provide tailored AI solutions that drive measurable business value. This role fosters an ownership culture, allowing you to directly influence project outcomes and contribute to the success of Tata Power . Required Skills & Technical Competencies The ideal candidate for the Lead Engineer – AI/ML position will possess a robust technical skill set essential for developing and deploying AI solutions. Technical Skills Python — advanced — essential for developing scalable AI/ML applications, leveraging libraries like NumPy and Pandas . TensorFlow — advanced — critical for building and training deep learning models, expected to be used extensively in daily tasks. Machine Learning — intermediate — foundational knowledge necessary for implementing algorithms relevant to Tata Power 's projects. AWS — intermediate — familiarity with cloud platforms for deploying AI solutions and managing resources effectively. Azure — intermediate — used for cloud-based AI deployments, ensuring efficient resource management. GitHub — advanced — utilized for version control and collaboration, essential for maintaining code quality and team productivity. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong academic background and relevant experience in AI/ML, eager to contribute to Tata Power . Candidates must hold a Bachelor's or Master's Degree in Computer Science , AI/ML , Data Science , or related fields. Eligible batches include 2023 , 2024 , 2025 , and 2026 , welcoming fresh graduates to apply. The experience requirement is 3-5 years , indicating a preference for candidates who can contribute immediately. A minimum CGPA of 7.0 is preferred to ensure a solid academic foundation in relevant subjects. Having a portfolio or GitHub showcasing projects in AI/ML will provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting relevant education, experience, and technical skills, along with a link to your portfolio or GitHub showcasing your AI/ML projects. Pro tip: Tailor your application to highlight specific projects that utilized TensorFlow or PyTorch , demonstrating your hands-on experience in AI/ML. Salary for Lead Engineer – AI/ML at Tata Power 💰 Compensation ₹12–20 LPA The advertised compensation for the Lead Engineer – AI/ML role at Tata Power is ₹12–20 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Lead Engineer – AI/ML Upskilling with the right resources significantly enhances your chances of selection for this specialized role in AI/ML. Recommended Courses & Resources Python — Essential for developing AI/ML algorithms and data manipulation. TensorFlow — Crucial for building and training deep learning models. PyTorch — Important for dynamic neural network building and research applications. Scikit-learn — Useful for implementing machine learning algorithms efficiently. KodNest — Provides practical coding challenges to enhance your programming skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume to the specific skills and responsibilities outlined in the job description. — Customize your resume for the role. ❌ Overlooking the importance of showcasing relevant projects or internships that demonstrate practical experience. — Highlight your hands-on experience. ❌ Neglecting to proofread for grammatical errors or inconsistencies that can detract from professionalism. — Always review your application materials. ❌ Using generic language instead of specific examples that highlight unique contributions and achievements. — Be specific about your accomplishments. ❌ Not preparing for technical interviews by practicing coding challenges relevant to AI/ML. — Engage in mock interviews and coding exercises. Before You Apply — Checklist ✅ Research Tata Power 's recent projects and initiatives in AI/ML to tailor your application. ✅ Update your resume to reflect relevant skills and experiences that align with the job description. ✅ Prepare a cover letter that articulates your interest in AI/ML and your fit for the role. ✅ Gather references who can speak to your technical abilities and work ethic. ✅ Ensure your LinkedIn profile is updated and reflects your latest accomplishments. ✅ Practice common technical interview questions related to AI/ML and coding. ✅ Double-check the application deadline and submission requirements on the Tata Power careers portal. ✅ Follow up on your application status after submission to express continued interest. Resume Tailoring & ATS Keywords for Lead Engineer – AI/ML Optimizing your resume for ATS is crucial to ensure it gets noticed for this specialized role in AI/ML. ATS Keywords to Include Lead Engineer AI/ML Python TensorFlow Machine Learning Deep Learning AWS Azure Scikit-learn GitHub Data Science MLOps Resume Tips for This Role Highlight relevant projects in AI/ML that demonstrate your technical skills and problem-solving abilities. Emphasize teamwork and collaboration experiences, particularly in cross-functional settings. Include links to your portfolio or GitHub to showcase your coding skills and project contributions. Optimize your resume for ATS by including keywords from the job description, particularly technical skills. Avoid including unrelated work experiences that do not align with the AI/ML focus of the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including vague statements that do not clearly demonstrate your impact or contributions in previous roles. How to Apply for Lead Engineer – AI/ML at Tata Power Apply Now — Tata Power Visit the Tata Power careers portal and locate the Lead Engineer – AI/ML job listing. Prepare your resume, ensuring it highlights relevant skills and experiences tailored to the job description. Fill out the application form accurately, providing all requested information. After submission, expect a confirmation email and keep an eye on your inbox for further communication. You can track your application status through the Tata Power careers portal. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Tata Power NexisGrow.com does not charge any fees for job applications. Tata Power Tata Power , founded in 1915 , is headquartered in Mumbai and has a significant global presence in over 30 countries . With a workforce of over 12,000 employees , the company has established itself as a leader in the power sector, contributing to both local and international energy solutions. The company offers a diverse range of products and services, including renewable energy solutions such as solar and wind power, along with traditional energy generation. Tata Power 's commitment to innovation is evident through its advanced technologies, including smart grid solutions and energy management systems , which enhance efficiency and sustainability. Tata Power has received numerous accolades for its workplace culture, including a Glassdoor rating of 4.2 , reflecting high employee satisfaction. The company promotes growth through various employee programs, such as leadership training and skill development initiatives, ensuring that its workforce is well-equipped for future challenges. Recently, Tata Power announced a substantial investment of ₹1,000 crore in renewable energy projects, emphasizing its dedication to sustainable growth. This initiative not only expands its energy portfolio but also aligns with India's sustainability goals, showcasing the company's forward-thinking approach. For freshers in Technology, joining Tata Power as a Lead Engineer – AI/ML offers a unique opportunity to enter the energy sector. With mentorship from industry leaders and access to cutting-edge technologies, new employees can develop their skills in a supportive environment that fosters innovation and career growth. Company Details Industry Technology Location India Connect With Us Careers Apply Now Website 🔗 careers.tatapower.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Lead Engineer – AI/ML at Tata Power? Eligibility Tap to expand + Answer Candidates with Bachelor’s / Master’s Degree in Computer Science, AI/ML, Data Science, Engineering or related field and 3-5 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, TensorFlow, PyTorch, Keras, Scikit-learn. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12–20 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Tata Power? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, TensorFlow, PyTorch, Keras, Scikit-learn. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Lead Engineer – AI/ML interview? Preparation Tap to expand + Answer (1) Core concepts of Python, TensorFlow, PyTorch, Keras, Scikit-learn, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Tata Power research, (5) Clear communication. ? What is the work culture like at Tata Power? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in India Browse all Tech jobs Latest Fresher jobs More jobs at Tata Power Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com