AI Automation Engineer

Position Title: AI Automation Engineer (Internship)

Location: Chandigarh, India (On-site)

Duration: 6 Months

Internship Type: Learning and Training-Based Internship (Unpaid as per company policy)

Reports To: Assigned Department Supervisor / Mentor

Organisation: Bhalekar Consulting

About Bhalekar Consulting

Bhalekar Consulting is an Australia-based consulting firm specializing in Digital Transformation, Data Engineering, and Artificial Intelligence. We help organizations modernize operations, adopt data-driven strategies, and automate business processes using emerging technologies.

As part of our growth initiative, we are offering 6-month structured internship opportunities at our Chandigarh office for aspiring professionals who want to build a career in AI, Automation, and Data Engineering.

This internship is designed to be educational in nature — allowing participants to observe, learn, and assist under the guidance of experienced professionals.

About the Internship

The AI Automation Engineer Internship is a structured, mentored learning experience designed to help students and recent graduates gain exposure to automation workflows, AI tools, and data-driven processes used in business consulting.

Interns will work in a shadowing capacity, assisting experienced engineers, data professionals, and automation experts on real-world projects. The focus is on learning outcomes — not production work.

Key Learning Areas

During this internship, participants will gain supervised exposure to:

• Understanding AI and automation workflows used in business transformation.
• Learning about no-code and low-code automation tools such as Zapier, Make (Integromat), and Zoho Flow.
• Observing the process of integrating AI APIs (e.g., OpenAI, Azure AI, Google Vertex AI) into business processes.
• Understanding data pipelines, process automation, and workflow optimization.
• Participating in knowledge-sharing sessions, documentation preparation, and process observations.
• Learning about prompt engineering, chatbot development, and LLM-based solutions.

Important Compliance Note

This internship is designed to comply with internship and employment regulations in India and Australia, including:

• The internship is primarily for the benefit of the intern.
• The intern’s participation is educational in nature, focusing on skill development and supervised learning.
• The intern will not perform productive work that would otherwise be completed by paid employees.
• The intern is not entitled to wages under employment laws unless a stipend is voluntarily provided.
• There is no guarantee of employment, but high-performing interns may be considered for a full-time paid position upon successful completion of the internship.

Who Should Apply

This internship is ideal for students or recent graduates who want to:

• Build a foundation in AI, Data, and Automation technologies.
• Gain hands-on exposure through observation and mentorship.
• Learn about enterprise consulting practices in digital transformation.
• Develop career pathways in AI Engineering, Automation, or Data Engineering.

Eligibility Criteria

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Basic understanding of Python, data workflows, or AI tools is preferred but not mandatory.
• Strong willingness to learn, research, and explore automation tools and AI systems.
• Available to commit 6 months of part-time or full-time learning participation.

What You’ll Gain

• Mentorship from experienced Data & AI professionals.
• Exposure to industry tools and methodologies.
• Opportunity to shadow real-world projects in data and AI consulting.
• A certificate of completion from Bhalekar Consulting.
• Possibility of a full-time employment offer for top-performing interns after 6 months.

Application Process

Interested candidates can apply with:

• Updated resume
• Short cover letter expressing interest in AI and automation learning

Selected candidates will be invited for an interview to assess learning goals and fit for the program.