Urgent! Full Stack Data & ML Engineer Job Opening In Mumbai – Now Hiring SaShr Consultants
<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)
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Unlock Your Full Stack Potential: Insight & Career Growth Guide
Real-time Full Stack Jobs Trends in Mumbai, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Full Stack in Mumbai, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 122406 jobs in India and 2623 jobs in Mumbai. This comprehensive analysis highlights market share and opportunities for professionals in Full Stack roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! SaShr Consultants is currently hiring and seeking a Full Stack Data & ML Engineer to join their team. Feel free to download the job details.
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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:The average salary range for a Full Stack Data & ML Engineer Jobs India 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.
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. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview: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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