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Engineer – AI Lab Job Opening In Mumbai – Now Hiring ScaleneWorks


Job description

About the Role: As an Engineer, you will support the successful execution of AI and GenAI initiatives by bridging technical understanding with execution management.

While you are expected to be hands-on in coding and working with AI tools, this role also requires you to evaluate technical solutions, coordinate delivery with tech teams or vendors, and keep AI projects on track.

You will work in a hybrid capacity balancing a technical mindset with structured project execution.

Key Responsibilities: Support development and implementation of AI/GenAI use cases in partnership with internal and external teams.

Conduct market research to stay up to date with AI/GenAI trends and tools, and bring insights back to the team for experimentation and innovation Drive UATs, test AI tools, evaluate feasibility of solutions, and contribute to prototyping.

Work on code-based tasks such as prompt engineering, basic model integration, or automation workflows.

Track project plans, manage dependencies, follow up on timelines, and support project execution end-to-end.

Coordinate with business users, engineering teams, and external solution partners to align on requirements and deliverables.

Document learnings, test results, configurations, and maintain clear communication across the team.

Contribute to AI experimentation and innovation activities by staying current with emerging tools.

Who are we looking for?

Education: Bachelor s or Master s in Computer Science, Engineering, Data Science, or a related technical field.

Experience: 3 6 years of experience in AI/ML, GenAI, or tech-enabled business roles.

Experience contributing to tech delivery while coordinating with cross-functional teams.

Exposure to AI platforms, APIs, or cloud-based tools is a must.

Skills: Working knowledge of Python and GenAI libraries/APIs (e.g., OpenAI, LangChain, Hugging Face).

Familiarity with AI concepts like prompt engineering, embeddings, LLMs, and vector DBs. Basic hands-on experience in writing or reviewing code for AI workflows.

Strong planning, coordination, and execution ownership across technical and business teams.

Attention to detail, documentation, and a disciplined approach to follow-through.

Ability to learn fast, ask the right questions, and manage ambiguity

Required Skill Profession

Computer Occupations


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Are You Looking for Engineer – AI Lab Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ScaleneWorks adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Engineer – AI Lab Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Mumbai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Engineer – AI Lab?

Key qualifications for Engineer – AI Lab typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Engineer – AI Lab Job Success

ScaleneWorks interview tips for Engineer – AI Lab

Here are some tips to help you prepare for and ace your Engineer – AI Lab job interview:

Before the Interview:

Research: Learn about the ScaleneWorks's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Engineer – AI Lab interview at ScaleneWorks, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ScaleneWorks's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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