Company Name: NCS
Job Role: AI/ML Engineer
Location: Pune
Experience: Freshers
Education: Bachelor’s Degree
Batch: Not Mentioned
Last Date: ASAP
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NCS Recruitment Hiring Graduates
Job Description
- Develop and deploy machine learning models to analyze large datasets and improve decision-making processes.
- Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and workflows.
- Conduct experiments to validate and tune models, ensuring their accuracy and efficiency.
- Monitor and evaluate the performance of machine learning models in production and iterate as needed.
- Stay up-to-date with the latest advancements in AI/ML technologies and methodologies.
Eligibility
- A degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Experience with deep learning and natural language processing (NLP) techniques.
- Understanding of software development best practices and agile methodologies.
- Strong programming skills in languages such as Python or R.
- Experience with machine learning frameworks and libraries.
- Solid understanding of data structures, algorithms, and statistical modeling.
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Strong communication skills to convey complex concepts effectively.
Important Note While Applying For Jobs:
Please read the job instructions and requirements carefully before applying. If your CV is shortlisted, you will receive all communications from the organization via your registered email address. Keep checking your inbox for details about the next round once your CV has been shortlisted.
How To Apply for NCS Recruitment Hiring Graduates?
Eligible candidates apply for this Drive online by following the below link. All Interview details will be shared via email.
More Details NCS Recruitment Hiring Graduates
Selection and Interview Process at NCS
The interview process at NCS typically comprises three rounds, starting with a Aptitude, technical assessment, proceeding to a HR interview for applicable roles.
1. Application & Initial Screening: Submit your application through the NCS careers portal, LinkedIn, employee referrals, or campus/programme recruitment channels. Shortlisted candidates typically have an initial screening call with HR or a recruiter to discuss their background, interest in AI/ML, key projects or experience, and salary expectations. Depending on the role, candidates may also be required to complete an online assessment as part of the screening process.
2. Technical Screen: This stage typically forms the core of the AI/ML interview process and focuses on assessing both programming and machine learning fundamentals. Candidates are evaluated on their proficiency in Python, with emphasis on data structures, algorithms, and problem-solving skills through coding exercises involving arrays, strings, and data manipulation.
3. Technical Deep Dive / On-Site (or Virtual) Rounds: For mid-level and senior AI/ML roles, this stage involves a deeper evaluation of technical expertise and problem-solving ability. Candidates may be assessed on system or ML system design, where they are asked to architect an end-to-end solution and explain design choices, scalability, and tradeoffs. The round may also include coding exercises and ML case studies, such as live coding, debugging, or discussing real-world scenarios
4. Behavioral / Managerial Round: This round focuses on assessing interpersonal skills, leadership qualities, and cultural fit. Candidates are typically asked STAR-format questions related to teamwork, challenges faced, and leadership experiences. Discussions often center on past projects, including individual responsibilities, objectives, and outcomes, as well as how effectively the candidate collaborates with software engineers, product owners, and clients.
Tips for AI/ML Engineer Interview Questions
- Resume and Projects: Be prepared to discuss your AI/ML projects, internships, and technical experiences in depth. Clearly articulate your specific role, the models, tools, and technologies you used, the data and challenges you worked with, and how you evaluated and improved model performance. Interviewers look for AI/ML engineers who can explain complex concepts clearly, justify their technical decisions, and demonstrate strong hands-on, practical understanding of their work.
- Behavioral Skills: Be prepared to share examples that demonstrate your problem-solving, communication, and teamwork skills. Structure your responses using the STAR method (Situation, Task, Action, Result) to clearly explain your contributions and the impact of your actions.
Basic Interview Questions
- Tell me about yourself.
- What are your strengths and weaknesses?
- Why do you want to work here?
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