AI ML Engineer Job at NCSi is an exciting opportunity for early-career professionals who want to work on real-world artificial intelligence problems. This role focuses on building, deploying, and improving machine learning models that directly impact business products and services. It is ideal for fresh graduates and professionals with up to one year of experience who want practical exposure, team collaboration, and long-term growth in AI and ML. If you are serious about turning data into meaningful solutions, this role deserves your attention.
Quick Info Table
| Category | Details |
|---|---|
| Job Title | AI/ML Engineer |
| Company | NCSi |
| Department | Apps |
| Designation | Artificial Intelligence and Machine Learning Consultant |
| Open Positions | 20 |
| Experience | Up to 1 year |
| Location | Pune, Maharashtra, India |
| Skills Required | Artificial Intelligence, Machine Learning |
| Posted On | 30-Dec-2025 |
Key Highlights
- AI ML Engineer Job at NCSi focuses on solving real-world business problems using machine learning
- Opportunity to work with cross-functional teams including data scientists and software engineers
- Exposure to full machine learning lifecycle from data preparation to production deployment
- Suitable for freshers and professionals with limited industry experience
- Role based in Pune with a structured and collaborative work environment
- Emphasis on innovation, experimentation, and continuous learning
- Strong alignment with modern AI and ML industry requirements
Eligibility Criteria
- Candidates with up to one year of professional experience
- Graduates in Computer Science, Data Science, Artificial Intelligence, or related fields
- Applicants with strong interest in artificial intelligence and machine learning
- Individuals comfortable working with data and analytical problem-solving
- Candidates willing to learn and adapt to evolving AI technologies
Job Responsibilities
- Design and develop machine learning models to analyze large datasets
- Implement algorithms that improve prediction accuracy and decision-making
- Collaborate with data scientists to transform research models into deployable solutions
- Work closely with software engineers to integrate AI models into existing systems
- Conduct experiments to validate model assumptions and improve performance
- Perform model tuning to enhance accuracy, efficiency, and scalability
- Monitor deployed models and analyze their performance in production environments
- Iterate and retrain models based on real-world data and feedback
- Ensure data quality, consistency, and reliability throughout the ML pipeline
- Document model behavior, assumptions, and outcomes for internal teams
- Stay updated with emerging trends in machine learning and artificial intelligence
- Apply best practices in model evaluation and validation
Skills and Tools Required
- Strong programming skills in Python or R
- Practical experience with machine learning frameworks and libraries
- Solid understanding of data structures and algorithms
- Knowledge of statistical modeling and probability concepts
- Experience in data preprocessing and feature engineering
- Familiarity with model evaluation techniques such as accuracy and validation metrics
- Ability to debug and optimize machine learning pipelines
- Understanding of basic software development principles
- Strong analytical thinking and problem-solving skills
- Effective communication skills to explain technical ideas clearly
- Ability to collaborate in team-based environments
Preferred Qualifications
- Academic background in AI, ML, or data-focused disciplines
- Exposure to deep learning concepts and neural networks
- Familiarity with natural language processing techniques
- Understanding of agile development workflows
- Awareness of software version control and collaboration practices
- Interest in continuous learning and skill enhancement
Important Dates
| Event | Date |
|---|---|
| Job Posted On | 30-Dec-2025 |
| Application Start | Ongoing |
| Application Deadline | Not Specified |
Selection Process
- Initial application screening based on skills and eligibility
- Technical assessment to evaluate programming and ML fundamentals
- Machine learning knowledge evaluation through problem-solving questions
- Discussion on data handling, modeling approaches, and algorithms
- Interview with technical team members
- Final HR discussion focusing on role alignment and expectations
- Offer rollout to selected candidates
How to Apply
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Why This Program Is Worth Joining
- AI ML Engineer Job at NCSi offers hands-on experience with real datasets
- Direct involvement in building production-level AI solutions
- Opportunity to learn from experienced professionals in AI and software engineering
- Strong foundation for long-term careers in artificial intelligence
- Exposure to end-to-end machine learning workflows
- Skill development aligned with industry demand
- Structured work environment encouraging innovation
- Role supports career growth in AI consulting and engineering
- Practical learning beyond academic theory
- Competitive positioning for future AI and ML roles
Conclusion
AI ML Engineer Job at NCSi stands out as a strong entry-level opportunity for professionals eager to build a career in artificial intelligence and machine learning. The role offers practical exposure, collaborative learning, and real-world problem-solving experience. With a focus on innovation, data-driven insights, and continuous improvement, this position provides a solid foundation for long-term growth in the AI domain. If you are ready to apply your skills and grow in a challenging yet supportive environment, this opportunity is worth pursuing now.
