AI Engineer

AkzoNobel

3 - 5 years

0 Lacs

pune maharashtra india

Posted:18 hours ago| Platform:

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Skills Required

ai portfolio automation workflow development coding communication design deployment drive engineering programming python java model learning

Work Mode

On-site

Job Type

Full Time

Job Description

AkzoNobel has a passion for paint. We're experts in the proud craft of making paints and coatings, setting the standard in color and protection since 1792. Our world class portfolio of brands - including Dulux, International, Sikkens and Interpon - is trusted by customers around the globe. Headquartered in the Netherlands, we are active in over 150 countries and employ around 34,500 talented people who are passionate about delivering the high-performance products and services our customers expect.

Overview:

Key Responsibilities:

Lead and contribute to the design, development, and deployment of AI applications and workflows.
Implement and optimize agentic frameworks to enhance automation and decision-making processes.
Drive the end-to-end execution of AI use cases, from ideation to production.
Collaborate with cross-functional teams to identify opportunities for AI-driven innovation.
Stay updated with the latest advancements in AI and proactively propose innovative solutions.
Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Minimum 3-4 years of experience in AI application or workflow development.
Proficient in programming languages such as Python, Java, or similar.
Hands-on experience with agentic frameworks and AI model deployment.
Demonstrated ability to implement and scale AI use cases in a business environment.
Strong analytical, problem-solving, and innovative thinking skills.
Excellent verbal and written communication skills.
Passion for AI and a continuous learning mindset.

Preferred Skills:

Experience in cloud-based AI solutions.
Familiarity with MLOps and CI/CD pipelines for AI projects.

Regards,

Team AkzoNobel

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