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Schneider Electric

Global energy management and automation provider

Expert Data Scientist

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Master's or PhD in Data Science or Computer Science is required; exceptional candidates with a Bachelor's degree and a strong track record will also be considered.
  • At least 8 years of experience in data science or AI roles, with demonstrated technical and thought leadership.
  • A proven track record of building and deploying production-grade AI systems, including hands-on production deployment experience.
  • Experience bridging applied research and scalable implementation.
  • Strong programming expertise in Python.
  • Hands-on experience with scikit-learn, PyTorch or TensorFlow, Hugging Face, Pandas, and SparkML.
  • A solid foundation in classical machine learning, including regression, classification, clustering, feature engineering, and dimensionality reduction.
  • Experience in natural language processing, including text analytics, embeddings, and semantic search.
  • Hands-on expertise in generative AI, including large language models, prompt engineering, retrieval-augmented generation, and fine-tuning, plus familiarity with vector databases and retrieval systems.
  • Experience designing agentic AI systems, including LangChain agents, multi-agent workflows, tool integration, and running agent-based AI systems in production.
  • Proficiency with the LangChain ecosystem, including LangSmith for tracing, evaluation, and observability.
  • Experience working in an AWS or Azure cloud environment.
  • Working knowledge of SQL and NoSQL databases.
  • Strategic thinking, innovation, and an experimentation mindset.
  • Analytical, problem-solving, and critical-thinking skills, with business judgment.
  • Ability to communicate with technical and executive stakeholders.
  • Passion for mentoring and developing technical talent.
  • Ownership, accountability, and delivery focus.

Responsibilities

  • Design, implement, deliver, and support AI solutions for incorporation into products and systems.
  • Build and deploy large-language-model-powered applications, including retrieval-augmented-generation pipelines and multi-agent AI solutions using the LangChain ecosystem, including tool-using agents, multi-agent orchestration, and memory-enabled systems.
  • Ensure observability of generative AI and agentic AI solutions and optimize trade-offs among accuracy, latency, and cost.
  • Build reusable frameworks, APIs, and components that accelerate AI adoption across the organization.
  • Ensure reproducibility, traceability, and quality through disciplined engineering practices, including GitHub and Markdown.
  • Lead code reviews and maintain standards for coding, testing, and documentation.
  • Define evaluation frameworks, including A/B testing, benchmarking, and offline and online performance metrics.
  • Establish scalable MLOps and LLMOps practices for model lifecycle management, monitoring, governance, and deployment.
  • Drive LangSmith adoption for observability, tracing, experiment tracking, and prompt and version management.
  • Keep current on advances in large language models, agentic AI, and the broader AI landscape, and apply them to enterprise use cases.
  • Contribute to upstream projects, technology and scientific monitoring, and intellectual property valorization, including patents and publications.
  • Promote experimentation, innovation, and responsible AI, with a focus on fairness, ethics, and trust.
  • Technically lead a set of AI use cases related to internal AI solution development.
  • Contribute to quarterly planning and workload estimation.
  • Escalate risks to the AI solution leadership team.
  • Provide technical leadership and mentorship to data scientists and machine learning engineers.
  • Communicate complex AI and statistical concepts to non-technical audiences through storytelling and visualization.

Desired Qualifications

  • Contributions to research publications or patents, or meaningful open-source AI contributions.

About the Company

Schneider Electric

Global energy management and automation provider

Schneider Electric is a global specialist in energy management and automation. It helps homes, businesses, and industries run electricity more efficiently by selling electrical products, automation hardware, software, and related services. Its offerings cover electrification, automation, and digitization, and solutions connect devices, collect data, and control systems to optimize energy use in smart industries, resilient infrastructure, and data centers. The company distinguishes itself with a broad, end-to-end portfolio and a worldwide presence in over 100 countries, combining hardware, software, and services to address sustainability and reliability. Its goal is to help people and organizations use energy more efficiently, reduce environmental impact, and improve uptime and reliability.

Company size
10,001+
Company stage
IPO
Headquarters
Rueil-Malmaison, France
Founded
1836

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