NCSI Hiring AI ML Engineer in Pune
NCS is hiring for the position of AI ML Engineer at its Pune, Maharashtra location, offering a compelling opportunity for both fresh graduates and experienced professionals who want to build and grow their careers in the high-demand fields of Artificial Intelligence and Machine Learning. The AI ML Engineer role at NCSI is designed for individuals who are passionate about developing intelligent systems, working with data-driven models, and applying state-of-the-art techniques that solve real business problems. NCSI (National Centre for Sustainable Infrastructure) is known for working on advanced analytics, engineering solutions, and digital innovations that require deep technical expertise and a forward-thinking approach, making this role highly valuable for anyone aiming to build future-ready technical careers.
This position gives candidates exposure to real AI/ML pipelines, data processing workflows, model training, evaluation techniques, and production deployment scenarios. It moves beyond theoretical learning and enables hands-on work that directly influences how organisations leverage AI for strategic insights and automation — a critical differentiator in today’s tech-driven economy.
Job Overview
- Company: NCSI
- Position: AI ML Engineer
- Qualification: Bachelor’s / Master’s Degree in Computer Science, Data Science, AI/ML, Engineering, or related field
- Experience: Freshers / Experienced
- Location: Pune, Maharashtra, India
- Employment Type: Full-Time
This role is suitable for candidates who enjoy data science, machine learning models, algorithm optimisation, and applying technical solutions that have real impact.
About the Role As an AI ML Engineer at NCSI, you will work closely with data scientists, software engineers, and business stakeholders to design, develop, and deploy intelligent solutions. The role involves building end-to-end machine learning workflows that include data gathering, preprocessing, model training, validation, and deployment. Engineers in this role are expected to understand both the practical and theoretical aspects of machine learning and be comfortable working with modern tools and frameworks used in AI ecosystems.
Unlike purely academic or research roles, this position requires practical application of machine learning techniques to business scenarios — such as predictive modelling, natural language processing, classification systems, and automated decision-support models that help organisations solve real problems.
Key Responsibilities
- Collaborate with cross-functional teams to understand business requirements and data sources
- Preprocess, clean, and analyse large datasets to support model development
- Build and fine-tune machine learning models using Python and ML libraries
- Deploy models to production environments and integrate them into application workflows
- Evaluate model performance using appropriate metrics and visualisations
- Write efficient, maintainable code following engineering best practices
- Help create model documentation, reporting, and performance dashboards
- Contribute to research on new algorithms, tools, and optimisation techniques
- Troubleshoot and debug model outcomes and data anomalies
These responsibilities help you build not only technical expertise but also the ability to interpret analytical results in a business context — a crucial skill for modern tech professionals.
Skills Required
- Proficiency in Python programming and ML libraries such as TensorFlow, PyTorch, or Scikit-Learn
- Knowledge of data preprocessing, feature engineering, and statistical analysis
- Understanding of algorithm selection, model training, and evaluation techniques
- Ability to work with data storage technologies and data pipelines
- Familiarity with cloud platforms and deployment workflows (AWS, Azure, GCP)
- Capability to translate business needs into technical requirements
- Strong analytical, logical, and problem-solving mindset
- Good communication and collaboration skills
Freshers with solid academic projects or internships in AI/ML, data science, or related areas will be strongly considered.
Who Can Apply
- Fresh graduates with AI/ML or data science exposure
- Early-career professionals looking to advance in machine learning engineering
- Candidates with academic or project experience in predictive modelling
- Individuals who enjoy both the technical and applied aspects of machine learning
This role is open to candidates who demonstrate potential, adaptability, and a passion for technology.
Why This Role Is Valuable AI and machine learning skills are among the most sought-after in the global job market, with demand outpacing supply in many regions. Working as an AI ML Engineer at NCSI allows you to apply your skills to real business problems, learn from experienced professionals, and build a career trajectory that aligns with future technology trends such as automation, predictive analytics, intelligent decision support systems, and data-driven engineering solutions.
This role also builds your expertise in professional frameworks, tools, and cloud technologies used across global tech companies — strengthening your resume and opening doors to advanced roles in AI research, data engineering, or ML operations.
Work Environment & Learning Culture NCSI offers a collaborative work environment with a culture that encourages continuous learning, experimentation, and innovation. Engineers are supported with mentorship, access to learning resources, and opportunities to participate in technical discussions that advance both individual skills and organisational outcomes. The team emphasises professional growth, quality execution, and ethical application of AI technologies.
Career Growth Opportunities With solid performance and technical contribution, AI ML Engineers at NCSI can explore growth into roles such as:
- Senior Machine Learning Engineer
- Data Scientist
- AI Research Specialist
- ML Operations Engineer
- Analytics Lead
These paths offer increasing responsibility, deeper technical involvement, and leadership potential within technology teams.
About NCSI The National Centre for Sustainable Infrastructure (NCSI) focuses on engineering solutions and digital transformation initiatives that enhance infrastructure performance, resilience, and data-driven decision making. The organisation’s technology teams apply advanced analytics, artificial intelligence, and scalable software platforms to tackle modern business challenges across sectors.
How to Apply
This role provides a strong foundation for early-career technology professionals who want to build expertise in machine learning, data science, and software engineering.
