Johnson Controls – Machine Learning and AI Trainee Engineer

chinmay February 6, 20251

Job Summary

Johnson Controls is hiring Machine Learning and AI Trainee Engineers to join their team in Pune, India (Hybrid Mode). This role offers an opportunity for freshers to work on cutting-edge technologies, AI-driven solutions, and real-world projects in a collaborative environment. Candidates will receive structured training, mentorship, and hands-on experience in machine learning, deep learning, and cloud-based applications.

Quick Details:

Company: Johnson Controls
Position: Machine Learning and AI Trainee Engineer
Location: Pune, India (Hybrid)
Job Type: Full-Time
Experience: Entry Level (Freshers)
No. of Positions: 5
Application Mode: Online

Roles & Responsibilities:

Collaborate with cross-functional teams to design, develop, and maintain Machine Learning solutions.
Implement Machine Learning, NLP, Deep Learning, and Generative AI models.
Write clean, efficient, and well-documented Python, SQL, and KQL code.
Develop dashboards using PowerApps and PowerBI.
Build and maintain React-based user interfaces.
Utilize Azure cloud services for application development and deployment.
Identify, troubleshoot, and debug issues for high-quality deliverables.
Participate in Agile and SAFe ceremonies and contribute to sprint planning.
Continuously learn and apply new technologies and best practices.

Eligibility Criteria:

Education: B.E/M.E (CS, IT, Mechanical Engg.), B.Tech/M.Tech (CS, IT), MCA, M.Sc (CS) with coursework in Data Science and Machine Learning.
Technical Skills:
- Strong knowledge of Python, SQL, and Azure.
- Experience with Machine Learning and AI frameworks.
- Familiarity with Agile and SAFe methodologies is a plus.
Soft Skills:
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Passion for continuous learning and professional growth.

How to Apply:

Interested candidates can apply online through Johnson Controls’ official careers portal. Ensure your resume is ATS-friendly using these tools: