Lead AI Engineer at Schneider Electric

📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka 🏢 Company Schneider Electric 👥 Experience 8+ years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹28L – ₹42L LPA 🏢 Industry Technology 🛠 Key Skills statistical modeling machine learning frameworks data mining Python R SQL data visualization tools Lead AI Engineer at Schneider Electric — Full Details & How to Apply Schneider Electric is seeking a Lead AI Engineer to spearhead cutting-edge projects in Bengaluru, Karnataka . This role offers a unique opportunity to shape the future of technology within a global leader in energy management and automation. As industries increasingly rely on AI for efficiency and innovation, the Lead AI Engineer position is pivotal in Schneider Electric's growth strategy, making it a crucial role in today's technology landscape. The demand for Lead AI Engineer jobs is surging as organizations recognize the transformative power of artificial intelligence. With over 8 years of experience being the benchmark for this role, candidates will be at the forefront of developing AI-driven solutions that enhance operational efficiency and sustainability across various sectors. The integration of machine learning frameworks and data mining techniques is not just a trend; it's a necessity for companies aiming to stay competitive. This role is essential for those looking to make a significant impact in a rapidly evolving tech environment. Schneider Electric stands out as an employer due to its unwavering commitment to sustainability and innovation. With a workforce of over 250,000 employees and a reputation for excellence, Schneider Electric fosters a culture that encourages creativity and collaboration. The company is not only focused on technological advancements but also on making a positive impact on the environment. This makes it an exciting workplace for tech enthusiasts eager to contribute to meaningful projects that matter. This position is ideal for freshers and candidates with up to 2 years of experience who hold a B.Tech, MCA, or equivalent degree . Eligible candidates include those from the 2023, 2024, 2025, and 2026 batches, making this an excellent opportunity for recent graduates looking to launch their careers in a prestigious organization. Candidates should have a strong foundation in statistical modeling, proficiency in Python , R , and SQL , along with experience in data visualization tools. As a Lead AI Engineer , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . The role offers a competitive salary ranging from ₹28L to ₹42L LPA , along with opportunities for rapid career advancement and internal promotions. You will be part of a team that is not just building technology but is also committed to creating sustainable solutions that benefit society. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you are ready to take the next step in your career, apply online today and join Schneider Electric in shaping the future of technology. Job Role & Responsibilities The role of Lead AI Engineer at Schneider Electric is pivotal in driving innovative AI solutions that enhance operational efficiency and address complex business challenges. As a leader in this domain, you will spearhead the design and implementation of advanced AI models tailored to the unique needs of the organization. Lead the design and implementation of advanced AI models to solve complex business challenges specific to Schneider Electric's operations. Utilize machine learning frameworks such as TensorFlow and PyTorch , alongside statistical modeling techniques , to develop predictive analytics solutions. Collaborate with cross-functional teams including data scientists, software engineers, and product managers to ensure alignment on project goals. Measure and report on the effectiveness of AI initiatives using key performance indicators ( KPI ) to drive continuous improvement. Take ownership of projects from conception to deployment, fostering a culture of innovation and accountability within the team. Document technical specifications and project progress to maintain transparency and facilitate knowledge sharing across departments. Identify opportunities for innovation in AI applications and lead brainstorming sessions to develop creative solutions. Mentor junior team members, sharing knowledge and best practices in AI development and project management. Conduct regular reviews of AI models to ensure they meet the evolving needs of Schneider Electric and its clients. This role emphasizes a strong ownership culture, where your contributions will significantly impact the company's AI strategy and operational success. Required Skills & Technical Competencies The ideal candidate for the Lead AI Engineer position at Schneider Electric should possess a robust skill profile that combines technical expertise with strong analytical capabilities. This role demands proficiency in various programming languages and frameworks to develop cutting-edge AI solutions. Technical Skills Statistical Modeling (Expert) — essential for developing robust AI solutions that accurately predict outcomes and inform decision-making. Machine Learning Frameworks (Advanced) — proficiency in TensorFlow and PyTorch is crucial for building scalable AI applications. Python (Advanced) — used extensively for data manipulation and implementing complex algorithms effectively. R (Advanced) — necessary for statistical analysis and modeling in AI projects. SQL (Intermediate) — familiarity is required for database management and data extraction to support data-driven decision-making processes. Data Visualization Tools (Intermediate) — experience with tools like Tableau or Power BI to present data insights effectively. Soft Skills & Professional Competencies Strong Communication Skills — vital for articulating complex technical concepts to non-technical stakeholders and fostering collaboration. Problem-Solving — ability to approach challenges with a structured mindset and develop innovative solutions. Team Collaboration — experience working in cross-functional teams to achieve common goals. Time Management — adept at prioritizing tasks and managing multiple projects simultaneously. Good to Have (Bonus) Cloud Platforms (Familiarity) — experience with platforms like AWS or Azure for deploying AI solutions. Big Data Technologies (Familiarity) — knowledge of tools like Hadoop or Spark is a plus. Agile Methodologies (Experience) — understanding of Agile practices to enhance project delivery. To effectively showcase these skills in your resume or during an interview, focus on specific projects where you applied these competencies, emphasizing measurable outcomes and your role in achieving them. Eligibility Criteria This role is designed for experienced professionals as well as fresh graduates eager to learn and grow within the AI field. Candidates should have a strong academic background and relevant experience in AI and machine learning. Candidates must hold a degree in any discipline , with a preference for fields related to computer science, engineering, or mathematics. Eligible batches include 2023, 2024, 2025, and 2026 graduates, reflecting Schneider Electric's commitment to nurturing emerging talent. A minimum CGPA of 7.0 is preferred, ensuring candidates have a solid academic foundation in relevant subjects. Prior internship or hands-on project experience in AI/ML is a strong advantage. A portfolio showcasing relevant projects, GitHub contributions , or certifications in AI/ML will enhance the application. Documentation & Portfolio Requirements Prepare a well-structured resume highlighting your relevant skills and experiences. Include links to your GitHub or portfolio showcasing your projects, as well as any certifications in AI or machine learning. Pro Tip: Tailor your application to emphasize your hands-on experience with AI projects, as this will significantly improve your chances of success in securing an interview for the Lead AI Engineer role at Schneider Electric . Salary & Benefits 💰 Compensation ₹28L – ₹42L LPA The compensation philosophy at Schneider Electric reflects the high demand for skilled AI professionals in the technology sector. For the role of Lead AI Engineer , the salary ranges from ₹28L – ₹42L LPA , ensuring that employees are rewarded competitively for their expertise and contributions. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and Pension schemes Performance Bonuses — annual bonuses based on individual and company performance Flexible Work Hours — options for hybrid work to promote work-life balance Paid Time Off — generous vacation and sick leave policies Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Subsidized Meals — affordable meal options available at the workplace Transportation Allowance — support for commuting costs Stock Options — opportunity to own a part of the company Mentorship Programs — guidance from experienced professionals in the field Career Progression & Salary Growth At Schneider Electric , career growth is prioritized with clear promotion timelines and an internal promotion policy . Employees can expect annual performance reviews that typically result in salary raises of 10-15% based on performance metrics. The company encourages rapid career advancement through continuous learning and development opportunities. NexisGrow.com tip: When negotiating your salary, emphasize your unique contributions to past projects and how they align with the goals of Schneider Electric . Selection Process The hiring philosophy at Schneider Electric emphasizes finding candidates who not only possess the necessary technical skills but also align with the company's values and culture. The selection process for the Lead AI Engineer role is designed to assess both technical expertise and cultural fit. 1 Round 1: Initial Screening Interview — focusing on technical skills and relevant experience in AI and machine learning. 2 Round 2: Technical Assessment — practical problem-solving tasks and coding challenges related to AI applications. 3 Round 3: Behavioral Interview — evaluating cultural fit and alignment with Schneider Electric 's values and mission. 4 Final Stage: Offer Presentation — background check and offer discussion to ensure candidates meet all requirements before joining the team. What Each Round Tests Round 1 assesses your technical skills and relevant experience in AI and machine learning. Round 2 focuses on practical coding challenges to evaluate your problem-solving abilities. Round 3 is centered around behavioral questions to gauge your fit within the Schneider Electric culture. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication from Schneider Electric throughout the process, including updates after each round. Interview Prep Tip: Familiarize yourself with Schneider Electric 's mission and values, as cultural fit is a significant focus during interviews. How to Apply for Lead AI Engineer at Schneider Electric Apply Now — Schneider Electric Create Your Profile — Visit the application link and set up your profile. Upload Your Resume — Highlight relevant experience in AI and machine learning projects. Fill in the Application Form — Ensure all fields are completed accurately. Track Your Application — Monitor your application status through the portal. Prepare for Assessments — Be ready for potential technical assessments following your application. Resume & Profile Tips for This Role Highlight Relevant Projects — Showcase your experience in AI and machine learning. Emphasize Technical Skills — Include proficiency in Python , TensorFlow , and other relevant tools. Showcase Problem-Solving Abilities — Provide examples of challenges you've overcome in past roles. Demonstrate Communication Skills — Highlight experiences where you effectively communicated complex ideas. As the application deadline is approaching, prompt submission is encouraged to secure consideration for this exciting role. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the specific eligibility requirements for the Lead AI Engineer role at Schneider Electric? Eligibility Tap to expand + Answer Candidates should hold a degree in any discipline, preferably in computer science or related fields, and have over 8 years of relevant experience. ? What is the interview process for Lead AI Engineer at Schneider Electric? Interview Tap to expand + Answer The interview process includes an initial screening, a technical assessment, and a behavioral interview to assess both skills and cultural fit. ? What technologies and tools will I work with as a Lead AI Engineer? Tech Stack Tap to expand + Answer You will primarily work with Python, R, SQL, and machine learning frameworks like TensorFlow and PyTorch for developing AI solutions. ? What is the salary and compensation for the Lead AI Engineer role? Salary Tap to expand + Answer The salary ranges from ₹28L to ₹42L LPA, with opportunities for performance bonuses and career growth. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Bengaluru, with potential for hybrid work arrangements depending on project requirements. ? What is the career growth path after joining Schneider Electric as a Lead AI Engineer? Growth Tap to expand + Answer Expect a clear growth roadmap with opportunities for promotions and internal mobility within 6-12 months based on performance. ? How should I prepare for the Lead AI Engineer interview at Schneider Electric? Preparation Tap to expand + Answer Focus on brushing up your skills in AI frameworks, statistical modeling, and prepare to discuss your past projects in detail. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, ensuring your resume highlights relevant experience and projects in AI and machine learning. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period of 6 months, during which performance will be evaluated to ensure fit for the role. ? What is the work culture like at Schneider Electric? Culture Tap to expand + Answer The culture emphasizes collaboration, innovation, and continuous learning, with a strong focus on diversity and employee well-being. 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