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Full Stack Data & ML Engineer Job Opening In Mumbai – Now Hiring SaShr Consultants


Job description

<p><p>We are looking for a Full-stack Data + ML Engineer (Mid-Level) to join our Data & ML Team.

The ideal candidate will bring strong experience in building data pipelines, managing data infrastructure, and deploying ML models into production.

</p><p><br/></p><p>This is a hands-on, high-impact role that blends data engineering and machine learning to drive actionable intelligence across the business.</p><br/><p><b>Data Engineering (50%) :</b></p><br/><p>- Design and build robust ELT/ETL pipelines from app, events, and 3rd-party data sources (batch & streaming).<br/><br/></p><p>- Create well-modeled data layers (staging/marts) with testing, documentation, and version control (e.g., dbt).<br/><br/></p><p>- Operate and optimize data warehouses/lakes, ensuring data lineage, quality checks, and secure access (PII compliance).<br/><br/></p><p>- Contribute to observability, cost tracking, and on-call support for data pipelines.</p><br/><p><b>ML/AI (50%) :</b></p><br/><p>- Frame business problems, prepare datasets, and train/evaluate ML models for production use.<br/><br/></p><p>- Build and maintain inference services/APIs (e.g., FastAPI, Triton, KServe) with defined latency and cost targets.<br/><br/></p><p>- Implement LLM pipelines (RAG), manage retrieval evaluation, prompt optimization, and safety guardrails.<br/><br/></p><p>- Work on classic ML use cases such as risk scoring, recommendation, churn, uplift modeling, and A/B testing.<br/><br/></p><p>- Monitor model drift, data integrity, and performance; maintain detailed runbooks and & Experience : </b></p><br/><p>- 4-6 years of experience delivering production-grade data systems and ML features.<br/><br/></p><p>- Strong expertise in SQL and Python.<br/><br/></p><p>- Hands-on experience with dbt and an orchestration tool Proficiency with cloud data warehouses (Snowflake/BigQuery/Redshift) and lake formats ML toolchain proficiency : PyTorch/TensorFlow, scikit-learn, MLflow/W&B.<br/><br/></p><p>- Familiarity with model serving, Docker, CI/CD, and Kubernetes concepts.<br/><br/></p><p>- Strong communication skills, documentation habits, and ability to make pragmatic trade-offs.</p><p><br/></p><p><b>Nice to Have : </b></p><br/><p>- Experience with streaming frameworks (Kafka/Flink/Spark Structured Streaming) or CDC tools (Debezium).<br/><br/></p><p>- Familiarity with feature stores (Feast) and vector databases (pgvector/FAISS/Weaviate) for LLM/RAG use cases.<br/><br/></p><p>- Exposure to FinTech/lending domains, underwriting, bureau & alt-data ingestion, model risk controls, and data compliance.</p><br/><p><b>What to Expect :</b></p><br/><p>- Onsite collaboration at our Mumbai office with product, risk, and engineering teams.<br/><br/></p><p>- High ownership across the data ?

intelligence ?

product loop.<br/><br/></p><p>- Opportunities to mentor junior engineers and grow into a lead role as the team scales.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Are You Looking for Full Stack Data & ML Engineer 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 SaShr Consultants 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 Full Stack Data & ML Engineer 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 Full Stack Data & ML Engineer?

Key qualifications for Full Stack Data & ML Engineer 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 Full Stack Data & ML Engineer Job Success

SaShr Consultants interview tips for Full Stack Data & ML Engineer

Here are some tips to help you prepare for and ace your Full Stack Data & ML Engineer job interview:

Before the Interview:

Research: Learn about the SaShr Consultants'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.

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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.

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

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Full Stack Data & ML Engineer interview at SaShr Consultants, 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 SaShr Consultants'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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