📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company MarketEngine.ai 👥 Experience 2+ years 🎓 Qualification B.E./B.Tech in Computer Science, IT or a related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹4.5–₹7 LPA 🏢 Industry Technology 🛠 Key Skills Python FastAPI Generative AI LLMOps MLOps Prompt Engineering Azure Machine Learning Data Pipelines Infrastructure as Code AI/ML Engineering Intern at MarketEngine.ai — Full Details & How to Apply MarketEngine.ai is seeking an AI/ML Engineering Intern in Pune, Maharashtra, India to contribute to cutting-edge generative AI projects. This role offers freshers a unique opportunity to gain hands-on experience in MLOps and LLMOps, essential for launching a successful career in technology. The demand for skilled professionals in AI and ML is surging, particularly in the realms of generative AI and MLOps. This AI/ML Engineering Intern position is crucial as it allows candidates to engage with innovative technologies that are shaping the future of the industry. With companies increasingly relying on AI solutions, this internship provides a vital stepping stone for freshers looking to enter a high-growth field. MarketEngine.ai , founded in 2020 , has rapidly expanded to a team of over 100 employees , focusing on innovative AI solutions for businesses. The company’s commitment to transforming data into actionable insights sets it apart in the tech landscape. Interns will be part of a collaborative culture that encourages creativity and innovation, making MarketEngine.ai an ideal environment for budding engineers. We invite 2023, 2024, 2025, 2026 graduates with a B.E./B.Tech in Computer Science, IT or a related field and 2+ years experience to apply for this role. The competitive salary range of ₹4.5–₹7 LPA reflects the value placed on fresh talent in the organization, making this an attractive opportunity for aspiring professionals. Interns will gain exposure to essential skills such as Python , FastAPI , Generative AI , LLMOps , MLOps , Prompt Engineering , Azure , and Terraform . This experience not only enhances technical proficiency but also opens doors to advanced career opportunities in the AI/ML sector, positioning candidates favorably in a competitive job market. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The AI/ML Engineering Intern at MarketEngine.ai will focus on developing and optimizing machine learning models to enhance product features, directly impacting client satisfaction and business objectives. Develop and optimize machine learning models using Python and FastAPI to enhance product features and improve user experience. Implement MLOps practices to streamline model deployment and monitoring, ensuring high availability and performance metrics. Collaborate with cross-functional teams, including Data Science and Product Management, to align AI solutions with specific business objectives. Analyze model performance metrics to identify areas for improvement, ensuring alignment with user needs and expectations. Take ownership of specific AI projects, driving initiatives from conception through deployment and evaluation, utilizing Generative AI . Document processes and results for internal knowledge sharing and compliance with best practices in model monitoring . Engage with clients to understand their needs and provide tailored AI solutions, enhancing customer satisfaction through effective communication. This role fosters an ownership culture, allowing interns to make a direct impact on AI projects and contribute to the overall success of MarketEngine.ai . Required Skills & Technical Competencies The ideal candidate will possess a strong technical skill profile essential for developing and deploying AI solutions effectively. Technical Skills Python — advanced — essential for developing machine learning algorithms and backend services, utilizing libraries like NumPy and Pandas. FastAPI — intermediate — used for building APIs that serve machine learning models, crucial for real-time data processing. Generative AI — intermediate — knowledge in this area is vital for creating innovative solutions that leverage AI capabilities. MLOps — intermediate — understanding of MLOps principles is necessary for managing the lifecycle of machine learning models. Terraform — intermediate — experience with this tool is important for Infrastructure as Code, enabling efficient resource management. Bicep — intermediate — utilized for Infrastructure as Code, facilitating streamlined deployment processes. When showcasing these technical skills in your resume or interview, emphasize specific projects and outcomes that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates who are eager to apply their technical knowledge in a practical setting while contributing to innovative AI projects. Candidates must hold a B.E./B.Tech in Computer Science , IT , or related fields to ensure foundational knowledge. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply and gain experience. The role requires 2+ years of experience, including 1+ year in software development and 1+ year in MLOps or LLMOps . A minimum CGPA of 6.0 is preferred to ensure a solid academic background in relevant subjects. Having a portfolio or GitHub showcasing projects related to AI/ML can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, highlighting relevant projects, skills, and experiences that align with the role's requirements. Pro tip: Include specific metrics or outcomes from your projects to demonstrate the impact of your work in AI/ML applications. Salary for AI/ML Engineering Intern at MarketEngine.ai 💰 Compensation ₹4.5–₹7 LPA The advertised compensation for the AI/ML Engineering Intern role at MarketEngine.ai is ₹4.5–₹7 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI/ML Engineering Intern Upskilling with the right resources significantly enhances your chances of selection for the AI/ML Engineering Intern role at MarketEngine.ai . Recommended Courses & Resources Python — Essential for developing AI/ML applications and algorithms. Azure — Familiarity with cloud services is crucial for deploying ML models. Machine Learning — Core concepts and techniques are vital for this role. Infrastructure as Code — Understanding infrastructure management is key for MLOps. KodNest — Provides practical experience in coding and AI/ML projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight relevant skills for AI/ML roles. ❌ Neglecting to showcase practical experience — Include projects or internships to strengthen your application. ❌ Using generic language — Be specific with terms related to the job description. ❌ Not preparing for technical interviews — Practice coding challenges to be ready. ❌ Ignoring soft skills — Demonstrate communication and teamwork abilities. ❌ Submitting applications without proofreading — Check for errors to avoid negative impressions. Before You Apply — Checklist ✅ Research MarketEngine.ai to understand its products and culture before applying. ✅ Update your resume to reflect relevant skills and experiences for the AI/ML role. ✅ Prepare a cover letter that articulates your interest in the internship and relevant qualifications. ✅ Gather any necessary documents, such as transcripts or certificates, for the application. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Practice common interview questions related to AI/ML to prepare for potential interviews. ✅ Follow the application instructions carefully to avoid any mistakes. ✅ Set reminders for application deadlines to ensure timely submission. Resume Tailoring & ATS Keywords for AI/ML Engineering Intern Optimizing your resume for ATS is crucial for standing out in the application process for the AI/ML Engineering Intern role. ATS Keywords to Include AI/ML Engineering Python FastAPI Generative AI MLOps LLMOps Prompt Engineering Azure Data Pipelines Infrastructure as Code Terraform Model Monitoring Resume Tips for This Role Highlight relevant coursework or projects in AI/ML to demonstrate practical knowledge. Emphasize experience with Python and FastAPI , as these are critical for the role. Include links to your portfolio or GitHub to showcase your coding skills and projects. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to AI/ML. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic job descriptions that do not relate to the AI/ML field. How to Apply for AI/ML Engineering Intern at MarketEngine.ai Apply Now — MarketEngine.ai Visit the application portal at https://marketengine.ai/career/career-post-2.html . Upload your resume, ensuring it is tailored to the AI/ML role. Fill out the application form accurately, providing all required information. After submission, expect a confirmation email regarding your application status. You can track your application status through the portal for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — MarketEngine.ai NexisGrow.com does not charge any fees for job applications. MarketEngine.ai MarketEngine.ai was founded in 2020 and is headquartered in Pune, Maharashtra . The company has rapidly grown to employ over 150 professionals , establishing a significant presence in the AI technology sector. With a focus on providing innovative solutions, MarketEngine.ai aims to serve clients across various industries, enhancing their operational efficiency through advanced technologies. Specializing in generative AI and MLOps , MarketEngine.ai offers platforms that include AI Workflow Manager and Data Pipeline Optimizer . These products are designed to streamline machine learning workflows and improve data utilization, enabling businesses to harness the full potential of their data assets effectively. The culture at MarketEngine.ai emphasizes collaboration and continuous learning. The company has received positive feedback on platforms like Glassdoor, where employees highlight the supportive work environment and opportunities for professional growth. Initiatives such as mentorship programs and regular training sessions contribute to a culture that values employee development. Recently, MarketEngine.ai secured a significant funding round of $5 million to expand its offerings in the generative AI space. This investment will facilitate the development of new features and enhancements, showcasing the company's commitment to innovation and growth within the technology landscape. This internship as an AI/ML Engineering Intern at MarketEngine.ai provides freshers with invaluable exposure to real-world AI applications. Interns will have the opportunity to work alongside industry experts, gaining hands-on experience in cutting-edge technologies such as FastAPI and Azure , making it an ideal launchpad for a successful career in technology. Company Details Industry Technology Location Pune, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 marketengine.ai Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI/ML Engineering Intern at MarketEngine.ai? Eligibility Tap to expand + Answer Candidates with B.E./B.Tech in Computer Science, IT or a related field and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, FastAPI, Generative AI, LLMOps, MLOps. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹4.5–₹7 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at MarketEngine.ai? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, FastAPI, Generative AI, LLMOps, MLOps. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI/ML Engineering Intern interview? Preparation Tap to expand + Answer (1) Core concepts of Python, FastAPI, Generative AI, LLMOps, MLOps, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) MarketEngine.ai research, (5) Clear communication. ? What is the work culture like at MarketEngine.ai? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Pune Browse all Tech jobs Latest Fresher jobs More jobs at MarketEngine.ai Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com