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.