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Danfoss

Lead Consultant, AI Specialist

Company logo
Danfoss
Engineer solutions for efficient HVAC, drives, hydraulics, pumps and sensor systems.
Transform enterprise operations through AI & data-driven decision-making, driving intelligent automation across ERP systems.
21d ago
180,000
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Chennai, Tamil Nadu, India
Office Full-Time
Company Size
41,928 Employees
Service Specialisms
Engineering
Consulting
Design
Technical Services
Project Management
Turnkey
Sector Specialisms
Industrial
Commercial Refrigeration
Marine and Offshore
Mobile Hydraulics
Construction
Agriculture
Off-highway Vehicles
Energy Efficiency
Role
What you would be doing
erp integration
ai use cases
business strategy
framework design
poc leadership
cross-functional collaboration
  • Assessing the technical feasibility of AI solutions within existing ERP infrastructure, ensuring scalability, security, and long-term viability.
  • Ideating and prioritizing AI use cases across Finance, Supply Chain, Sales, and other domains to enhance ERP performance and decision-making.
  • Translating complex technical insights into actionable business recommendations for senior leadership.
  • Designing a robust AI adoption framework that includes governance, data strategy, and integration pathways tailored to ERP systems.
  • Leading proof-of-concept (PoC) initiatives to validate AI solutions, measure outcomes, and refine implementation strategies.
  • Partnering with cross-functional teams to uncover operational challenges and identify high-impact AI opportunities aligned with business goals.
What you bring
python
cloud platforms
mlops
ai governance
nlp
prompt engineering
  • 10+ years of IT experience, with at least 3 years in AI/ML development and deployment.
  • Proficiency in Python, cloud platforms (Azure/AWS/GCP), and integration tools.
  • Awareness of AI governance, ethics, and compliance.
  • Expertise in Prompt Engineering for LLMs, Context Engineering, and Retrieval-Augmented Generation (RAG).
  • Solid understanding of MLOps practices including CI/CD, model monitoring, and versioning.
  • Familiarity with data pipelines, APIs, and system integration.
  • Strong command of supervised, unsupervised, and deep learning techniques.
  • Experience with NLP, object detection, and deep learning frameworks.
Benefits
  • Support for continuous learning and professional development through access to cutting-edge tools and resources.
  • The chance to grow your career while helping others grow theirs, in a team that believes in shared success and long-term vision.
  • Opportunities to work on impactful projects that shape the future of enterprise AI adoption.
  • A collaborative environment that encourages experimentation, learning, and innovation.
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
  • yes, background checks will be conducted
Company
Overview
70+ factories
Global Manufacturing Presence
The company operates over 70 factories worldwide, showcasing its extensive production capabilities.
100+ countries
Global Reach
Serves customers in over 100 countries, demonstrating its international operations and market presence.
Multi-billion
Annual Revenue
Achieves multi-billion-dollar annual revenue, highlighting its significant financial scale.
250,000+ products
Daily Production
Produces over 250,000 products daily, emphasizing its high-volume manufacturing efficiency.
  • Begun in 1933 with a novel refrigeration valve and soon introduced thermostatic radiator valves, driving early energy-efficiency innovation.
  • Expanded into hydraulics, power electronics, and sensor systems, launching the first VLT frequency converter in 1968 and acquiring notable divisions such as Vacon and Eaton Hydraulics.
  • Typical projects range from district-energy systems and marine/offshore equipment to EV drivetrain modules, industrial automation, and large-scale cold-chain refrigeration.
  • Expertise spans HVAC, mobile & industrial hydraulics, AC drives & power electronics, high-pressure pumps, sensing/control components, and fire-safety systems.
Culture + Values
  • Customer First
  • Sustainability
  • Innovation
  • Collaboration
  • Integrity
  • Simplicity
Environment + Sustainability
2023 Target
Net-Zero Commitment
Aimed to achieve net-zero emissions globally by 2023.
2030 Goal
Carbon Neutrality
Aimed to achieve carbon neutrality across all global operations by 2030.
50% Reduction
Greenhouse Gas Target
Sought to reduce greenhouse gas emissions by 50% by 2030, measured against 2018 levels.
  • Focus on energy efficiency, reduction of CO2 emissions, and renewable energy solutions.
  • All products designed with sustainability in mind, reducing energy consumption and contributing to the circular economy.
  • Aims to provide sustainable solutions that help reduce customers' environmental footprint.
Inclusion & Diversity
2025 Target
Women in Senior Leadership
Aiming to achieve 30% representation of women in senior leadership roles by 2025.
30% Target
Women Representation Goal
Targeting 30% of women in senior leadership roles by 2025.
27% in 2022
Female Leadership
Currently, women hold 27% of leadership positions.
  • Increasing female leadership representation by 2025.
  • Promoting a more inclusive work environment and increasing women in technical roles.
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