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.