NCS Recruitment Hiring Graduates Freshers for AI/ML Engineer
NCS is hiring fresh graduates for the role of AI/ML Engineer. This is a great opportunity for candidates looking to start their career in Artificial Intelligence and Machine Learning. NCS is a leading Singapore-based technology services company and a subsidiary of the Singtel Group, delivering digital, cloud, data, and AI-driven solutions to government and enterprise clients across the Asia-Pacific region.
Below are the complete job details, eligibility criteria, and application information.
Company Details
Company Name: NCS
Job Role: AI/ML Engineer
Location: Pune
Experience: Freshers
Education: Bachelor’s Degree
Batch: Not Mentioned
Last Date: ASAP
Job Description
As an AI/ML Engineer at NCS, you will be responsible for developing and implementing intelligent solutions to solve real-world business problems. Your key responsibilities will include:
- Designing, developing, and deploying machine learning models to analyze large datasets and enhance decision-making processes.
- Collaborating with data scientists and software engineers to integrate AI solutions into existing systems and workflows.
- Conducting experiments to validate, optimize, and fine-tune model performance for accuracy and efficiency.
- Monitoring machine learning models in production and improving them through continuous iteration.
- Keeping up with the latest advancements in AI/ML technologies, tools, and methodologies.
Eligibility Criteria
To be eligible for this role, candidates should meet the following requirements:
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Knowledge of deep learning and Natural Language Processing (NLP) techniques.
- Understanding of software development best practices and agile methodologies.
- Strong programming skills in Python or R.
- Experience with machine learning frameworks and libraries.
- Good knowledge of data structures, algorithms, and statistical modeling.
- Familiarity with data preprocessing, feature engineering, and model evaluation methods.
- Strong problem-solving and analytical skills.
- Ability to work effectively in a team environment.
- Excellent communication skills to explain complex technical concepts clearly.
Important Note for Applicants
Please carefully review all job requirements and instructions before applying. If your profile is shortlisted, all communication regarding further interview rounds will be sent to your registered email address. Make sure to regularly check your inbox for updates.
How to Apply for NCS Recruitment?
Eligible candidates can apply online through the official application link. All interview details and updates will be shared via email after successful submission of your application.
Selection & Interview Process at NCS
The hiring process at NCS typically includes multiple rounds to evaluate both technical and interpersonal skills:
1. Application & Initial Screening
Candidates must apply through the NCS careers portal, LinkedIn, employee referrals, or campus recruitment channels. Shortlisted candidates may receive an initial screening call from HR to discuss their background, interest in AI/ML, projects, and salary expectations. Some applicants may also be required to complete an online assessment.
2. Technical Screening
This round focuses on core programming and machine learning fundamentals. Candidates are assessed on Python skills, data structures, algorithms, and problem-solving through coding tasks involving arrays, strings, and data manipulation.
3. Technical Deep Dive / On-Site or Virtual Round
For experienced candidates, this stage involves an in-depth technical evaluation. Candidates may be asked to design end-to-end AI/ML systems, explain architectural decisions, and solve real-world case studies. Coding and debugging exercises may also be included.
4. Behavioral / Managerial Round
This round evaluates communication skills, teamwork, leadership potential, and cultural fit. Candidates are often asked STAR-based questions about past experiences, challenges, and collaboration in team environments.
Tips for AI/ML Engineer Interviews
- Projects & Resume: Be ready to explain your AI/ML projects, tools, models, datasets, and performance evaluation methods in detail.
- Communication Skills: Practice explaining complex concepts in a simple and structured manner.
- Behavioral Preparation: Use the STAR method (Situation, Task, Action, Result) to answer behavioral questions clearly.
Common Interview Questions
- Tell me about yourself.
- What are your strengths and weaknesses?
