Linde India (Praxair) is hiring for a fresher entry level Machine Learning Engineer role in India

Position:

• Machine Learning Engineer (Global)

Company:

• Praxair India Private Limited (a Linde company)

Location:

• Bangalore, Karnataka, India

Job type:

• Regular / Permanent / Full-time / Unlimited

Job mode:

• On-site

Job requisition id:

• req23351

Years of experience:

• 0 to 3 years

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Company description:

• Part of the Linde group, a leading global industrial gases and engineering company operating in over 100 countries

• Formed through a joint venture between Linde India Limited and Praxair India Private Limited

• Operates under the brand LSAS Services Private Limited, offering Operations and Management (O&M) services

• Committed to sustainability, productivity, and environmental protection

• Serves industries including chemicals, refining, healthcare, manufacturing, primary metals, electronics, and food and beverage

• Known for high-quality solutions, advanced technologies, and innovative services

• Offers an inclusive, diverse, and growth-oriented culture

• Encourages innovation, employee support, and personal growth

• Focused on developing environmentally conscious technologies

• Offers employee benefits like loyalty programs, on-site facilities, and employee communities

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Profile overview:

• Join Linde's AI Global Corporate Division to work on international AI projects

• Engage in building new and improving existing AI products across global business verticals

• Collaborate with cross-functional global teams: data scientists, software engineers, project managers

• Tackle real business problems across diverse geographies

• Participate in development, deployment, and monitoring of AI and machine learning solutions

• Contribute to MLOps practices and data pipeline setup

• Opportunity to work on deep learning, NLP, computer vision, and generative AI

• Exposure to experimentation with new ML technologies and algorithms

• Role combines applied data science, software engineering, and business problem solving

• Focused on scalable, efficient, and innovative AI-based solutions

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Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Computational Statistics, Mathematics, or a related field

• Strong fundamentals in neural networks, deep learning frameworks (TensorFlow or PyTorch)

• Hands-on experience in backend and API development (FastAPI, Flask)

• Understanding of object-oriented programming, data structures, and design patterns

• Proficient in version control tools like Git

• Exposure to MLOps tools such as Docker and Kubernetes is advantageous

• Basic familiarity with cloud platforms like Azure

• Capable of handling data end-to-end from collection to model deployment

• Team player with strong communication and problem-solving abilities

• Fluent in English (spoken and written)

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Additional info:

• Work alongside global teams addressing real-world industrial and engineering challenges

• Chance to innovate and contribute to next-gen AI tools and platforms

• Collaborate in a multicultural, inclusive team environment

• Opportunity to grow professionally with mentorship from experienced AI leaders

• Encouragement to experiment with self-supervised learning, LLMs, and generative AI

• Deep involvement in creating sustainable and responsible AI applications

• Access to global resources, tools, and infrastructure to support your work

• Role supports both technical growth and strategic thinking

• Employees enjoy flexible work culture with ample learning opportunities

• Linde promotes employee wellness through various support groups and community initiatives

Please click here to apply.