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.