Bengaluru, KA, IN; Hyderabad, TS, IN; Noida, UP, IN
Actively hiring, first seen by us 1 day agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design, develop and deploy data and AI solutions on Microsoft technologies
Manage delivery timelines, estimates and project trade-offs for assigned deliverables
Identify project dependencies and risks, and build contingency plans
Drive adoption and expansion of cloud and Microsoft technologies with customers
Manage technical escalations on engagements
helping to design, develop, and deploy solutions on Microsoft technologies and methodologies
helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs
Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans
Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies
manages technical escalations
Qualifications - 10+ years of experience - Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred. - Knowledge of solution design, planning, development and deployment of complex solutions
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
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Day 1
Early. Similar jobs usually come down between day 6 and day 71.
At Microsoft, jobs usually come down by about day 12.
From 4,626 similar postings that came down, and 186 of Microsoft’s. Coming down is not always a hire.
50 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Knowledge of secure coding practices, observability basics, and performance considerations - Handson programming experience, preferably in Python Consulting Mindset & Collaboration
- Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics; Azure Databricks is a plus - Experience/knowledge of one or more SQL and NoSQL database systems - Hands-on experience building AI-powered data pipelines using ETL/ELT tools like:
- Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities. - Consistently upskills through regular trainings and certifications on Azure Data and AI to be able to contribute to the future needs of the organization and customers Qualifications - 10+ years of experience
- Knowledge of solution design, planning, development and deployment of complex solutions - One or more of the following certifications, or an equivalent industry certification is a plus: Microsoft Certified: Azure Data Engineer Associate (DP-600) / Microsoft Certified: Azure AI Engineer Associate (AI102) / Microsoft Certified: Azure Solution Architect Expert (AZ-305) Core Data Engineering & Platform Skills
- Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments - Strong foundational experience with Azure Data Services and data platform modernization initiatives - Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics; Azure Databricks is a plus
- Strong foundational experience with Azure Data Services and data platform modernization initiatives - Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics; Azure Databricks is a plus - Experience/knowledge of one or more SQL and NoSQL database systems
- Hands-on experience building AI-powered data pipelines using ETL/ELT tools like: - Azure Data Factory (ADF), SSIS, Talend, Informatica, Airflow - Exposure to data migrations, platform upgrades, and modernization efforts
- Experience building or supporting ML ready datasets and basic feature engineering - Exposure to operationalizing ML pipelines and MLOps concepts, on Azure stack - Foundational knowledge of:
- Model training, evaluation, and deployment workflows - Azure cloud and AI stack like Azure Foundry, Azure OpenAI, etc - Handson experience or knowledge in one or more of:
Engineering Practices & Delivery - Experience working in Agile teams with knowledge of/exposure to Azure DevOps - Understanding of DataOps and MLOps practices, automated testing, CI/CD pipelines, and deployment workflows, preferably on Azure Foundry
- Experience working in Agile teams with knowledge of/exposure to Azure DevOps - Understanding of DataOps and MLOps practices, automated testing, CI/CD pipelines, and deployment workflows, preferably on Azure Foundry - Knowledge of secure coding practices, observability basics, and performance considerations
- Timeseries data processing - Familiarity with Azure Stream Analytics and Azure Analysis Services - Awareness of data governance concepts and tools (opensource or proprietary)
- Understanding of multitenant data platform designs, basic security hardening, and access control concepts - Knowledge of Big Data ecosystems like Spark, Databricks, Kafka, Hadoop, etc. AI / ML Foundations
- Basic understanding of Prompt Engineering - Exposure to or knowledge of deep learning/Gen AI frameworks such as TensorFlow/PyTorch, and orchestration frameworks like LangChain/LangGraph - Familiarity with Responsible AI principles – fairness, interpretability, and governance
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Yes. We’ve followed one other Senior Consultant Data, AI job there since May 2026. It came down after 157 days.
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Microsoft Industry Solutions - Global Center for Innovation and Delivery Center (GCID) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 2000+ exceptional people, GCID presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The ideal consultant is passionate about technology, has breadth rather than specific product depth, and has the drive and courage to articulate and stand up for a great solution delivering true value for the client.
As a Data & AI consultant, you will deliver quality engagements with your expertise, as a key contributor to high profile data and AI projects to ensure customer value. The ideal candidate must have the ability to combine their technical skills, leadership skills, creativity, and customer focus to deliver great solutions to the customers and ensure they get the best out of our technologies and solutions. Consulting Delivery professionals bring subject matter and solution expertise to architectural teams, customers, and partners. They apply deep technical and business knowledge to accelerate the adoption of Microsoft devices and services by ensuring strategic, architectural, and operational alignment to customer and partner objectives.
Works as an Individual contributor and key member of the Data and AI team and helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs necessary for a successful release.
Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies.
Contributes to the overall efficacy and quality of a project team’s technical delivery within assigned engagements.
Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations.
Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies. Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services.
Align with innovation and digital transformation initiatives. Ensures the use of existing intellectual property (IP) and delivers value to customers.
Responsible for implementing the technology strategy with support from Senior peers
Applies information-compliance and assurance policies to ensure stakeholder confidence.
Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.
Consistently upskills through regular trainings and certifications on Azure Data and AI to be able to contribute to the future needs of the organization and customers
10+ years of experience
Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred.
Knowledge of solution design, planning, development and deployment of complex solutions
One or more of the following certifications, or an equivalent industry certification is a plus: Microsoft Certified: Azure Data Engineer Associate (DP-600) / Microsoft Certified: Azure AI Engineer Associate (AI102) / Microsoft Certified: Azure Solution Architect Expert (AZ-305)
Core Data Engineering & Platform Skills
Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments
Strong foundational experience with Azure Data Services and data platform modernization initiatives
Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics; Azure Databricks is a plus
Experience/knowledge of one or more SQL and NoSQL database systems
Hands-on experience building AI-powered data pipelines using ETL/ELT tools like:
Azure Data Factory (ADF), SSIS, Talend, Informatica, Airflow
Exposure to data migrations, platform upgrades, and modernization efforts
Understanding of multitenant data platform designs, basic security hardening, and access control concepts
Knowledge of Big Data ecosystems like Spark, Databricks, Kafka, Hadoop, etc.
AI / ML Foundations
Experience building or supporting ML ready datasets and basic feature engineering
Exposure to operationalizing ML pipelines and MLOps concepts, on Azure stack
Foundational knowledge of:
Large Language Models (LLMs)
Model training, evaluation, and deployment workflows
Azure cloud and AI stack like Azure Foundry, Azure OpenAI, etc
Handson experience or knowledge in one or more of:
NLP, Document Intelligence & Indexing
Computer Vision
RAG frameworks or AI Search
Basic understanding of Prompt Engineering
Exposure to or knowledge of deep learning/Gen AI frameworks such as TensorFlow/PyTorch, and orchestration frameworks like LangChain/LangGraph
Familiarity with Responsible AI principles – fairness, interpretability, and governance
Engineering Practices & Delivery
Experience working in Agile teams with knowledge of/exposure to Azure DevOps
Understanding of DataOps and MLOps practices, automated testing, CI/CD pipelines, and deployment workflows, preferably on Azure Foundry
Knowledge of secure coding practices, observability basics, and performance considerations
Handson programming experience, preferably in Python
Consulting Mindset & Collaboration
Ability to work closely with senior consultants, architects, and customers to co-create innovative solutions with customers to help solve their business challenges
Strong communication skills to explain technical concepts to business stakeholders
Comfortable working in ambiguous environments, learning quickly, and adapting to change
Eagerness to build engineering excellence, reusable components, and best practices
Growth & Learning Orientation
Strong interest in continuous learning and technical certifications
Curiosity to explore emerging data and AI technologies
Willingness to receive feedback, grow technical depth, and expand ownership over time
Data Architecture Foundations (Good to have)
Good understanding of core data architecture patterns:
Dimensional modeling
Lambda and Kappa architectures
Timeseries data processing
Familiarity with Azure Stream Analytics and Azure Analysis Services
Awareness of data governance concepts and tools (opensource or proprietary)
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Bengaluru, KA, IN; Hyderabad, TS, IN; Noida, UP, IN
Core Data Engineering & Platform Skills - Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments - Strong foundational experience with Azure Data Services and data platform modernization initiatives
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