mumbai, maharashtra ai/ml engineer Jobs – 283 Open Jobs Today

Data and Analytics Engineer
Investec —Mumbai, Maharashtra
- Full-time
- Azure
- SQL
- Analysis skills
IN-Senior Associate_AI Engineer_Data Analytics_Advisory_Mumbai
PwC —Goregaon, Mumbai, Maharashtra
- Full-time
- Azure
- DevOps
- Java
Associate Solution/ML Engineer
Pristine Infotech —Mumbai, Maharashtra
- Email
- Azure
- Oracle
- Computer Science
- Paid holidays
- Health insurance
Python | Azure | GenAI_Mahindra FSS Diverse global solutions provider corp
Skyleaf Consultants —Mumbai, Maharashtra
- ₹20,00,000 - ₹42,00,000 a year
- Full-time
- Azure
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Applied Artificial Intelligence & Machine Learning Engineer - Vice President
JPMorganChase —Mumbai, Maharashtra
- Full-time
- Bachelor's degree
- Machine learning
- Agile
Senior Software Development Engineer (AI/ML and GenAI Engineer)
Diebold Nixdorf —Mumbai, Maharashtra
- Full-time
- Azure
- Engineering
- Master's degree
Partner Engineer, Generative AI
Meta —Mumbai, Maharashtra
- Azure
- Doctoral degree
- Computer Science
Product Manager, Data / AI ML
Priceline.com —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Product management
- AI
- Analytics
Associate Engineer (Data Science)
Affinity Global Advertising —Mumbai, Maharashtra
- Full-time
- Computer Science
- Research
- Master's degree
Founding CTO (AI Startup)
Applied Retention —Mumbai, Maharashtra
- ₹1,20,000 - ₹1,80,000 a year
- Full-time
- AWS
- APIs
- In-person
Quick apply
10h
IN_Associate_GenAI/Python_AI in Delivery_Advisory_Mumbai
PwC —Shivaji Park, Mumbai, Maharashtra
- Full-time
- Azure
- Engineering
- ERP systems
Alpha Generation Applied AI Engineer, Vice President
BlackRock Investments —Mumbai, Maharashtra
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
- Work from home
6d
Artificial Intelligence Engineer, Portfolio Management Group, Associate/Vice President
BlackRock Investments —Mumbai, Maharashtra
- Hybrid work
- Computer Science
- Research
- Master's degree
- Work from home
Enabling Areas - Information Technology - Deputy Manager - AI Solutions
Deloitte —Mumbai, Maharashtra
- Azure
- Doctoral degree
- Computer Science
Database Engineer
Institutional Shareholder Services —Mumbai, Maharashtra
- Full-time
- Oracle
- Computer Science
- Master's degree
Data Science - AI and ML Engineer
Silicon Interfaces —Vashi, Navi Mumbai, Maharashtra
- ₹2,00,000 - ₹3,00,000 a year
- Full-time
- Java
- Master's degree
- SQL
- Health insurance
- Paid time off
Quick apply
Site Reliability Engineer, Vice President
BlackRock Investments —Mumbai, Maharashtra
- Hybrid work
- Computer Science
- B.Sc
- Java
- Work from home
Sr ML & AI Engineer
HERE Technologies —Mumbai, Maharashtra
- Full-time
- Computer Science
- Master's degree
- SQL
Artificial Intelligence Data Engineer
EisnerAmper LLP —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Bachelor's degree
7d
Data Scientist (Product Company)
optimhire —Tardeo, Mumbai, Maharashtra
- ₹5,99,142.68 - ₹28,00,000.00 a year
- Full-time
- AWS
- Machine learning
- Computer networking
Quick apply

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Data and Analytics Engineer

Investec -
Mumbai, Maharashtra

Apply Now

Job details

Full-time

Qualifications

CI/CD
Power BI
Data modeling
Azure
Spark
R
Microsoft SQL Server
SSRS
Git
SQL
Statistical analysis
Analysis skills
Continuous integration
Forecasting
GitHub
APIs
Agile
SSIS
Data visualization
Business requirements
AI
Banking
Data warehouse
Python
Analytics

Full job description

Investec – Where Out of the Ordinary Happens

At Investec, we do things differently. We're a leading international bank and wealth manager built on a culture of curiosity, entrepreneurial spirit and human connection. Ideas are heard, ambition is celebrated, and impact is encouraged. As part of a team that challenges convention and strives for outperformance, you'll help shape bold solutions for clients who expect something more than the ordinary.

We are seeking a highly skilled Data Analyst to deliver and evolve domain-aligned analytics products within a centrally governed Microsoft data platform.
This role involves working closely with various stakeholders to understand their data needs and delivering high-quality, performant reports / dashboards and visualisations.
Key Responsibilities:
Business Logic & Data Product Definition

Translate business requirements into structured analytical specifications.
Define KPIs, metric calculations, and validated business rules.
Collaborate with Data Engineers to ensure transformations accurately reflect domain logic.
Validate outputs during SQL-to-Lakehouse modernization.
Contribute to the lifecycle management of domain data products.Semantic Modeling & Analytics Layer Ownership
Design and maintain Fabric semantic models aligned to enterprise standards.
Implement star schemas optimized for Power BI performance and self-service.
Refactor legacy SSAS and reporting logic into governed semantic layers.
Ensure metric consistency across dashboards and analytical assets.
Balance performance, usability, and governance in semantic design.Power BI & Insight Delivery
Conduct exploratory data analysis to identify trends, patterns, and anomalies.
Apply statistical techniques and models to interpret data and generate insights.
Design, develop, and maintain interactive Power BI dashboards and reports as per persona/stakeholder requirements.
Develop complex DAX calculations, KPIs, and time-intelligence metrics.
Optimize report performance and implement row-level security (RLS).
Monitor adoption and usage of analytics products.
Continuously refine reports based on business feedback.

Reusable scripts/ Reports/ CI/CD

Develop Python scripts for automation, data processing, and advanced analytics.
Integrate Power BI with external systems and APIs.
Automate recurring reports and data refresh workflows.
Implement version control and documentation for BI solutions.

Self-Service Analytics Enablement

Partner with the Analytics Enablement team to define and document self-service playbooks.
Design semantic models that are intuitive and consumption ready.
Support the creation of reusable datasets and governed templates.
Contribute to documentation, training materials, and usage guidelines.
Promote responsible and governed self-service practices within the domain.

Conversational & AI-Driven Analytics

Collaborate with the Analytics Enablement team to define playbooks for AI agents and conversational analytics.
Ensure semantic models support natural language querying and AI interpretation.
Structure datasets to enable accurate AI-generated insights.
Validate AI-driven outputs against business logic and KPI definitions.
Identify high-value use cases for AI-enhanced analytics within the domain.

Legacy BI Transition Support

Support migration of reports and analytical assets from:

oSSRS
oSSAS
oSQL-based reporting environments

Validate modernized outputs against legacy results.

Contribute to structured decommissioning of legacy BI artifacts.
Continuous Improvement:

Stay updated on industry trends, tools, and best practices in data analysis.
Suggest improvements to data processes and methodologies for enhanced efficiency.
Develop and promote reuse, standards and practices via playbooks
Collaborate with COE community to drive group analytics context within /across teams via knowledge sharing sessions
Cultivate & participate in culture focused on data quality, data governance, data security best practices

Core Skills & Competencies :

3-6 years of relevant experience as a Data Analyst
Strong Analytical Skills and Power BI Reporting skills
Ability to translate business requirements into data and technical design artifacts.
Strong programming skills in python and sql.
Proven experience in Azure Data Platform technologies:

oMicrosoft Fabric, Spark , spark SQL , Python , Power BI, SQL

Experience developing or supporting executive-level reporting or dashboards.
Strong documentation skills to prepare content for enablement, create / record videos.
Good understanding of data warehousing, data modelling, Data Visualization
Familiarity with Agile delivery and data governance frameworks.
Solid understanding of dimensional modeling, including star schema and Kimball-based methodologies.
Experience designing and optimizing semantic models for enterprise analytics platforms such as Power BI.
Experience working in enterprise-scale or regulated environments with disciplined delivery practices.

Desirable Skills:

Good to have Power Automate/ Alerting knowledge
Good to have AI/ML Model building experience and Azure ML/Python/R.
Experience with Spark (PySpark preferred) for distributed data transformation, Python notebooks.
Familiarity with CI/ CD tools – github / Azure repo
Familiarity with SSIS, SSRS, and SSAS, including modernization of legacy BI assets.
Experience in Fabric Agents, Power BI to Fabric Migration,
Understanding of KPIs in Banking/ financial services / capital markets (e.g., balance sheet metrics, profitability, risk indicators).
Experience with statistical analysis and forecasting

Preferred Qualifications :

Microsoft certifications (Azure Fabric Data Analyst – DP600, Power BI Analyst – PL300)

Exposure to AI/ML data preparation workflows.
Experience in enterprise-scale or regulated environments.

As part of our collaborative & agile culture, our working week is 4 days in the office and one day remote. We believe that being together enables us to live our values and support our clients and communities in an extraordinary way.

Investec offers a range of wellbeing benefits to make our people feel healthier, balanced and more fulfilled in their lives inside and outside of work. You can find a list of our benefits here

Embedded in our culture is a sense of belonging and inclusion. At Investec we want everyone to find it easy to be themselves, and to feel they belong. It's a responsibility we all share and is integral to our purpose and values as an organisation. We believe that innovation thrives when everyone feels respected, included, and empowered to contribute.

We actively seek out diverse talent and foster an inclusive environment, encouraging applications from people of all backgrounds and experiences. Here, you'll find networks, benefits, and development opportunities designed to support your career journey, wherever it may lead.

If this role excites you but you don't meet every requirement, we'd still love to hear from you. Your unique perspective and experience could be exactly what we are looking for. Get in touch!

At Investec, we're deeply invested in our clients, our colleagues, and our communities. It's more than a mindset; it's how we show up every day.

Be part of something Out of the Ordinary.

Recite Me

We commit to ensure that everyone is fairly assessed during our recruitment process. To assist candidates in completing their application form, Recite Me assistive technology is available on our Careers pages. This can be accessed by clicking on the ‘Accessibility Options' link at the top of the page.

The Recite Me tool includes a screen reader, styling and customisation options, a series of reading aids, a translator and more.

If you have any form of disability or neurodivergent need and require further assistance in completing your application, please contact the Careers team at [email protected] who will be happy to assist.

Apply Now

Refine Your Search

ai/ml engineer jobs in mumbai, maharashtra

Data and Analytics Engineer

IN-Senior Associate_AI Engineer_Data Analytics_Advisory_Mumbai

Associate Solution/ML Engineer

Python | Azure | GenAI_Mahindra FSS Diverse global solutions provider corp

Applied Artificial Intelligence & Machine Learning Engineer - Vice President

Senior Software Development Engineer (AI/ML and GenAI Engineer)

Partner Engineer, Generative AI

Product Manager, Data / AI ML

Associate Engineer (Data Science)

Founding CTO (AI Startup)

IN_Associate_GenAI/Python_AI in Delivery_Advisory_Mumbai

Alpha Generation Applied AI Engineer, Vice President

Artificial Intelligence Engineer, Portfolio Management Group, Associate/Vice President

Enabling Areas - Information Technology - Deputy Manager - AI Solutions

Database Engineer

Data Science - AI and ML Engineer

Site Reliability Engineer, Vice President

Sr ML & AI Engineer

Artificial Intelligence Data Engineer

Data Scientist (Product Company)

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