Johnson Controls is Hiring for AI/ML Intern

Job Overview

Johnson Controls is looking for AI/ML Interns to join its dynamic and innovative team. This role is ideal for recent graduates or individuals with a strong foundation in AI/ML who want to gain hands-on experience working on real-world projects.

As an AI/ML Intern, you will work closely with experienced professionals to develop, troubleshoot, and optimize AI/ML applications using cutting-edge technologies. You will be part of an Agile team and contribute to building robust, scalable, and high-performing solutions.

If you are passionate about AI, eager to learn, and looking for an opportunity to work on innovative products, this role offers a great platform to kickstart your career.

Job Details

1. Company: Johnson Controls
2. Role: AI/ML Intern
3. Qualification: Bachelor’s degree in Mechanical Engineering, Computer Science, Information Technology, BE, B.Tech, MCA, or a related field with coursework in Data Science and Machine Learning
4. Experience: Entry-Level
5. Location: Pune, Maharashtra, India (Hybrid)
6. Salary: As per company standards
7. Work Model: Full-Time
8. Reporting To: Principal Data Scientist
9. Number of Positions: 2

About Johnson Controls

1. Johnson Controls has a legacy of 130+ years in smart, healthy, and sustainable buildings.
2. The company focuses on reimagining building performance to serve people, places, and the planet.
3. Johnson Controls operates across multiple industries globally, providing employees with numerous learning and career growth opportunities.
4. Recognized as a Great Place to Work certified organization, the company fosters an inclusive and collaborative work culture.

What We Offer

1. Structured training program to enhance technical and professional skills.
2. Mentorship from experienced professionals.
3. Opportunities to work on real-world projects and cutting-edge technologies.
4. Collaborative and inclusive work culture.

Key Responsibilities

1. Collaborate with cross-functional teams to design, develop, and maintain Machine Learning solutions.
2. Apply Machine Learning techniques, specifically in Natural Language Processing (NLP) and Computer Vision, to solve complex problems.
3. Write clean, efficient, and well-documented code using Python and Jupyter notebooks.
4. Create dashboards for auto-tagging and define heuristics to label incoming data.
5. Develop and maintain existing datasets, ensuring efficient data management.
6. Utilize Azure for cloud-based application development and deployment.
7. Identify, troubleshoot, and debug issues to deliver high-quality AI/ML solutions.
8. Participate in Agile and SAFe ceremonies, contributing to sprint planning, reviews, and retrospectives.
9. Continuously learn and adapt to new tools, technologies, and best practices in AI/ML.
10. Apply strong problem-solving skills to develop innovative and effective solutions.

Skills & Requirements

Technical Skills

1. Strong knowledge of Python (mandatory).
2. Familiarity with Azure is a plus.
3. Basic understanding of Agile and SAFe frameworks is advantageous.
4. Experience in Machine Learning, NLP, or Computer Vision is preferred.

Soft Skills

5. Strong problem-solving and analytical thinking.
6. Excellent troubleshooting and debugging skills.
7. A proactive and dynamic approach to challenges.
8. Passion for continuous learning and working in a fast-paced environment.

Why Join Johnson Controls?

1. Work with a global leader in smart, sustainable buildings.
2. Gain hands-on experience in cutting-edge AI/ML technologies.
3. Collaborate with top AI/ML professionals in the industry.
4. Benefit from a structured training and mentorship program.
5. Opportunity to transition into a full-time role based on performance.

Growth & Career Opportunities

1. Gain expertise in AI/ML, NLP, and Computer Vision.
2. Work on real-world projects that impact industries globally.
3. Opportunities to grow into full-time AI/ML engineering roles.
4. Exposure to cloud computing and DevOps practices.
5. Develop leadership and technical skills for long-term career growth.

How to Apply

Apply Now: Click Here