11+ Microsoft App-V Jobs in India

Hi All,

We are hiring Data Engineer for one of our client for Bangalore & Chennai Location.


Strong Knowledge of SCCM, App V, and Intune infrastructure.

Powershell/VBScript/Python,

Windows Installer

Knowledge of Windows 10 registry

Application Repackaging

Application Sequencing with App-v

Deploying and troubleshooting applications, packages, and Task Sequences.

Security patch deployment and remediation

Windows operating system patching and defender updates

Thanks,
Mohan.G

Job description

We are looking for a Data Scientist with strong AI/ML engineering skills to join our high-impact team at KrtrimaIQ Cognitive Solutions. This is not a notebook-only role — you must have production-grade experience deploying and scaling AI/ML models in cloud environments, especially GCP, AWS, or Azure.

This role involves building, training, deploying, and maintaining ML models at scale, integrating them with business applications. Basic model prototyping won't qualify — we’re seeking hands-on expertise in building scalable machine learning pipelines.

Key Responsibilities

Design, train, test, and deploy end-to-end ML models on GCP (or AWS/Azure) to support product innovation and intelligent automation.

Implement GenAI use cases using LLMs

Perform complex data mining and apply statistical algorithms and ML techniques to derive actionable insights from large datasets.

Drive the development of scalable frameworks for automated insight generation, predictive modeling, and recommendation systems.

Work on impactful AI/ML use cases in Search & Personalization, SEO Optimization, Marketing Analytics, Supply Chain Forecasting, and Customer Experience.

Implement real-time model deployment and monitoring using tools like Kubeflow, Vertex AI, Airflow, PySpark, etc.

Collaborate with business and engineering teams to frame problems, identify data sources, build pipelines, and ensure production-readiness.

Maintain deep expertise in cloud ML architecture, model scalability, and performance tuning.

Stay up to date with AI trends, LLM integration, and modern practices in machine learning and deep learning.

Technical Skills Required Core ML & AI Skills (Must-Have):

Strong hands-on ML engineering (70% of the role) — supervised/unsupervised learning, clustering, regression, optimization.

Experience with real-world model deployment and scaling, not just notebooks or prototypes.

Good understanding of ML Ops, model lifecycle, and pipeline orchestration.

Strong with Python 3, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Seaborn, Matplotlib, etc.

SQL proficiency and experience querying large datasets.

Deep understanding of linear algebra, probability/statistics, Big-O, and scientific experimentation.

Cloud experience in GCP (preferred), AWS, or Azure.

Cloud & Big Data Stack

Hands-on experience with:

GCP tools – Vertex AI, Kubeflow, BigQuery, GCS

Or equivalent AWS/Azure ML stacks

Familiar with Airflow, PySpark, or other pipeline orchestration tools.

Experience reading/writing data from/to cloud services.

Qualifications

Bachelor's/Master’s/Ph.D. in Computer Science, Mathematics, Engineering, Data Science, Statistics, or related quantitative field.

4+ years of experience in data analytics and machine learning roles.

2+ years of experience in Python or similar programming languages (Java, Scala, Rust).

Must have experience deploying and scaling ML models in production.

Nice to Have

Experience with LLM fine-tuning, Graph Algorithms, or custom deep learning architectures.

Background in academic research to production applications.

Building APIs and monitoring production ML models.

Familiarity with advanced math – Graph Theory, PDEs, Optimization Theory.

Communication & Collaboration

Strong ability to explain complex models and insights to both technical and non-technical stakeholders.

Ask the right questions, clarify objectives, and align analytics with business goals.

Comfortable working cross-functionally in agile and collaborative teams.

Important Note:

This is a Data Science-heavy role — 70% of responsibilities involve building, training, deploying, and scaling AI/ML models.

Cloud experience is mandatory (GCP preferred, AWS/Azure acceptable).

Only candidates with hands-on experience in deploying ML models into production (not just notebooks) will be considered.

Organization’s Profile: Head Field has been a formidable player in the outsourcing business market for

more than a decade. Started with a vision to help businesses abroad recruit talent from India, our

company now includes other services in its basket of offerings such as Virtual Assistance, Legal Process

Outsourcing, Artifique, Accounting Process Outsourcing, Filming and Editing, IT and many more. We

operate 24/7, serving clients worldwide.

Title: Business Development Associate/ Executive

Location: Sector -57, Noida, U.P

Summary: We are seeking a dynamic and results’ driven "Business Development Executive/ Associate"

to join our team. The ideal candidate will be responsible for identifying and exploring business

opportunities, engaging with corporate B2B clients and facilitating strategies to drive business growth.

This role demands a strategic thinker with excellent communications and negotiation skills.

Job Profile: It is a B2B sales position responsible for developing, maintaining, and growing business

within a diversified line of businesses. Activities include client acquisition, meeting business objectives,

obtaining requisitions/job orders, building client relationships, penetrating client accounts and ensuring

smooth delivery.

Work Responsibilities:

• The candidate will be responsible for generating new leads (lead generation), making

introductory calls, and performing market research to identify and attract potential clients.

• Build effective working relationships with the Clients; be a trusted advisor and a business

advocate.

• Work with the manager to follow up, escalate, and clear blockers as appropriate.

• Conduct market research and competitive analysis to help shape marketing strategies and

identify new opportunities for expansion.

• Maintains an ongoing relationship with prospective clients, continuously assessing and

communicating how Head Field can meet their needs.

• Negotiates terms and conditions for employment services contracts and collaborates with the

operations team to ensure seamless transitions.

• Managing Lead generation activities through various channels, including prospective outreach,

networking, and outreach campaigns.

• Develop and nurture relationships with prospective clients, converting leads into qualified

business opportunities.

• Work closely with the legal team to manage contract creation, review, and finalization, ensuring

compliance and alignment with company policies.

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• Stay up-to-date on market trends, client needs, and competitive landscape to continuously refine

lead generation and sales approaches.

We are seeking a skilled Cloud Data Engineer who has experience with cloud data platforms like AWS or Azure and especially Snowflake and dbt to join our dynamic team. As a consultant, you will be responsible for developing new data platforms and create the data processes. You will collaborate with cross-functional teams to design, develop, and deploy high-quality frontend solutions. 

Responsibilities:

Customer consulting: You develop data-driven products in the Snowflake Cloud and connect data & analytics with specialist departments. You develop ELT processes using dbt (data build tool) 

Specifying requirements: You develop concrete requirements for future-proof cloud data architectures.

Develop data routes: You design scalable and powerful data management processes.

Analyze data: You derive sound findings from data sets and present them in an understandable way.

Requirements:

Requirements management and project experience: You successfully implement cloud-based data & analytics projects.

Data architectures: You are proficient in DWH/data lake concepts and modeling with Data Vault 2.0.

Cloud expertise: You have extensive knowledge of Snowflake, dbt and other cloud technologies (e.g. MS Azure, AWS, GCP).

SQL know-how: You have a sound and solid knowledge of SQL.

Data management: You are familiar with topics such as master data management and data quality.

Bachelor's degree in computer science, or a related field.

Strong communication and collaboration abilities to work effectively in a team environment.

Skills & Requirements

Cloud Data Engineering, AWS, Azure, Snowflake, dbt, ELT processes, Data-driven consulting, Cloud data architectures, Scalable data management, Data analysis, Requirements management, Data warehousing, Data lake, Data Vault 2.0, SQL, Master data management, Data quality, GCP, Strong communication, Collaboration.

Your qualifications:

Self motivated and proactive mindset.

Remote work experience is considered an asset.

Based anywhere in the world, quiet home office with fast internet.

Prior experience in a customer-facing role (Support, Success, Account Management, or Sales).

Your responsibilities will include:

Answering incoming phone calls from customers to offer support

Answering support tickets to help customers and free trials (we use Zendesk)

On-boarding and setting up new accounts and winning them over from the get-go.

Monitoring accounts to ensure that our customers are thrilled, and looking out for (and addressing) warning signs of churn.

Advocating customers’ requests and needs across the entire company (we use Monday)

Educating about newly released features and functionality.

Contributing to our Help Center (help.limecall.com)

Continuous learning and love to implement best practices

Required Skills:

• Expert in Python and Django framework
• Expert in developing backend applications with RESTful APIs Using Django Rest Framework
• Good understanding of front-end technologies, such as JavaScript, ReactJS , HTML5, and CSS3
• Understanding of fundamental design principles behind a scalable application
• Proficient understanding of GitHub
• Strong programming basics, with a clear understanding of Object-Oriented and Functional programming.
• Good communication skills and ability to work with global teams to define and deliver on projects.

We are an IIT Bombay incubated, healthcare start up developing a mobile based Ai technology to help reduce health risks for women during their pregnancy. Our Founders are Harvard and Columbia University alums with extensive experience in digital health in the US and India.

Mobile Development Engineer - React Native (Location: Mumbai)

Requirements:

2-4 years of experience on React Native. Good understanding of start up environment.

1.     Advanced knowledge of React Native.

2.     Excellent knowledge of React native libraries, Redux, HTML5, CSS3, JavaScript.

3.     Excellent knowledge on android and iOS UI design principles, patterns and best practices.

4.     Experience working with publishing on stores.

5.     Experience working with Rest APIs.

6.    Knowledge of integration and utilization of cloud services and payment systems.

7.    Should have played a key role in conceptualising to deployment of apps using React Native.

8    Project management, scheduling, allocation and delivery.

9.    Proven experience of agile development, sprint planning and backlog management.

10.   Keen focus on customer, excellent communication skills, with high level of responsiveness and responsibility.

Good to Have:

Full Stack experience.

Experience working on chat apps, community, and healthcare domain. 

Exposure or Interest in NLP, Machine Learning.