Job Overview
| Particulars | Details |
|---|---|
| Position | Data Scientist / AI/ML Engineer |
| Company | Engineer Master Labs Pvt. Ltd. |
| Location | Indore |
| Job Type | Full-Time |
| Experience | 4 - 5 years |
| Category / Department | IT |
| Application Mode |
🏢 About Engineer Master Labs Pvt. Ltd.
Company Overview:
Engineer Master Labs Pvt. Ltd., presented in the supplied information as Engineer Master Solutions, is an IT and software services company established in 2013. The company provides technology and software solutions tailored to business requirements, with expertise spanning various technologies, CRM and ERP development, enterprise-level solutions, and AI development.
The company emphasizes timely delivery, ongoing support, client satisfaction, customized solutions, and technology-driven business growth.
Company Mission:
To provide high-quality technology and software solutions that address business requirements while supporting clients from project inception through implementation.
Company Vision:
Not Provided
Core Values / Principles
Client success
Innovation
Technology excellence
Quality
Timely delivery
Dedicated service
210, 19-A, MPSEDC IT Park, Electronic Complex, Pardesi Pura, Indore, Madhya Pradesh
💡 Editor's Note / Preparation Tip
Resume Tips:
Clearly mention your 1–2.5 years of Data Science or AI/ML experience.
Highlight Python, Machine Learning, and Deep Learning prominently.
List the AI/ML frameworks you have worked with.
Include academic, personal, internship, or professional AI/ML projects where relevant.
Add measurable outcomes from your Machine Learning projects.
Mention your graduation year clearly.
Interview Preparation:
Revise Python fundamentals and commonly used Python libraries for Data Science.
Prepare Machine Learning algorithms and model evaluation concepts.
Review Deep Learning fundamentals and neural network architectures.
Be prepared to explain your previous AI/ML projects end-to-end.
Revise data preprocessing, feature engineering, model training, and validation.
Prepare practical questions around the AI/ML frameworks you have used.
Be ready to discuss challenges encountered during model development and how you solved them.
Professional Tips:
Keep your resume focused on practical AI/ML experience.
Include GitHub or portfolio links if they demonstrate relevant projects.
Use specific technologies and frameworks rather than generic skill descriptions.
Prepare a concise explanation of your strongest Machine Learning project.
Confirm your availability for a Work From Office role in Indore.
📝 Job Description
Position Details:
Engineer Master Labs Pvt. Ltd. is seeking a passionate Data Scientist / AI/ML professional to join its technology team in Indore. The ideal candidate should have practical experience in Machine Learning, Deep Learning, Python, and relevant AI/ML frameworks.
The position is suitable for professionals with 1–2.5 years of experience who are interested in working on technology-driven solutions and developing their expertise in artificial intelligence and machine learning.
Candidates with a graduation year up to 2023 will be preferred.
Benefits / Compensation
Opportunity to work in AI and Machine Learning.
Exposure to technology and software development projects.
Opportunity to develop expertise in AI/ML solutions.
Compensation: Not Provided.
Candidate Requirements:
1–2.5 years of relevant experience.
Strong expertise in Machine Learning.
Knowledge of Deep Learning.
Strong Python skills.
Experience with AI/ML frameworks.
Graduation year up to 2023 preferred.
Willingness to work from the Indore office.
Preferred Skills:
Data Science
Artificial Intelligence
Machine Learning
Deep Learning
Python
AI/ML Frameworks
Working Days & Hours:
Not Provided
How to Apply:
Candidates can share their updated resume at hr@engineermaster.in or ankitatankey@engineermaster.in.
🎯 Key Responsibilities
- ✓ Develop and work on Machine Learning solutions.
- ✓ Apply Deep Learning techniques to relevant projects.
- ✓ Develop AI/ML solutions using Python.
- ✓ Work with AI/ML frameworks.
- ✓ Contribute to data science and artificial intelligence projects.
- ✓ Collaborate on technology and software development initiatives.
- ✓ Apply machine learning and AI concepts to business requirements.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a Data Scientist / AI/ML Engineer offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹6,00,000 - ₹12,00,000 per annum (Mid level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
What position is Engineer Master Labs hiring for?
The company is hiring for a Data Scientist / AI/ML Engineer position.
How much experience is required?
Candidates should have 1–2.5 years of experience.
Where is the job located?
The position is based in Indore, Madhya Pradesh.
Is this a remote position?
No. The position is Work From Office.
Which technical skills are required?
Strong expertise in Machine Learning, Deep Learning, Python, and AI/ML frameworks is required.
Is Python required for this position?
Yes. Strong Python expertise is mentioned as a key requirement.
Is Deep Learning experience required?
Yes. Deep Learning is specifically included among the desired areas of expertise.
Is there a graduation-year preference?
Yes. Candidates with a graduation year up to 2023 will be preferred.
Where can candidates send their resumes?
Resumes can be sent to hr@engineermaster.in or ankitatankey@engineermaster.in.
Is salary information available?
No salary or compensation details were provided.
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