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 Title: Credit Risk Analyst

Company: FatakPay FinTech

Location: Mumbai, India

Salary Range: INR 8 - 15 Lakhs per annum

Job Description:

FatakPay, a leading player in the fintech sector, is seeking a dynamic and skilled Credit Risk Analyst to join our team in Mumbai. This position is tailored for professionals who are passionate about leveraging technology to enhance financial services. If you have a strong background in engineering and a keen eye for risk management, we invite you to be a part of our innovative journey.

Key Responsibilities:

• Conduct thorough risk assessments by analyzing borrowers' financial data, including financial statements, credit scores, and income details.
• Develop and refine predictive models using advanced statistical methods to forecast loan defaults and assess creditworthiness.
• Collaborate in the formulation and execution of credit policies and risk management strategies, ensuring compliance with regulatory standards.
• Monitor and analyze the performance of loan portfolios, identifying trends, risks, and opportunities for improvement.
• Stay updated with financial regulations and standards, ensuring all risk assessment processes are in compliance.
• Prepare comprehensive reports on credit risk analyses and present findings to senior management.
• Work closely with underwriting, finance, and sales teams to provide critical input influencing lending decisions.
• Analyze market trends and economic conditions, adjusting risk assessment models and strategies accordingly.
• Utilize cutting-edge financial technologies for more efficient and accurate data analysis.
• Engage in continual learning to stay abreast of new tools, techniques, and best practices in credit risk management.

Qualifications:

• Minimum qualification: B.Tech or Engineering degree from a reputed institution.
• 2-4 years of experience in credit risk analysis, preferably in a fintech environment.
• Proficiency in data analysis, statistical modeling, and machine learning techniques.
• Strong analytical and problem-solving skills.
• Excellent communication skills, with the ability to present complex data insights clearly.
• A proactive approach to work in a fast-paced, technology-driven environment.
• Up-to-date knowledge of financial regulations and compliance standards.

We look forward to discovering how your expertise and innovative ideas can contribute to the growth and success of FatakPay. Join us in redefining the future of fintech!

Responsibilities include: 

• Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
• Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
• Build data ingestion and data transformation infrastructure
• Automate infrastructure that the data science team uses
• Perform statistical analysis and tune the results so that the organization can make better-informed decisions
• Set up and manage AI development and product infrastructure
• Be a good team player, as coordinating with others is a must

YOU'LL BE OUR : Data Scientist                                                            YOU'LL BE BASED AT: IBC Knowledge Park, Bangalore

YOU'LL BE ALIGNED WITH :Engineering Manager

YOU'LL BE A MEMBER OF : Data Intelligence

WHAT YOU'LL DO AT ATHER:

• Work with the vehicle intelligence platform to evolve the algorithms and the platform enhancing ride experience.

• Provide data driven solutions from simple to fairly complex insights on the data collected from the vehicle

• Identify measures and metrics that could be used insightfully to make decisions across firmware components and productionize these.

• Support the data science lead and manager and partner in fairly intensive projects around diagnostics, predictive modeling, BI and Engineering data sciences.

• Build and automate scripts that could be re-used efficiently.

• Build interactive reports/dashboards that could be re-used across engineering teams for their discussions/ explorations iteratively

• Support monitoring, measuring the success of algorithms and features build and lead innovation through objective reasoning and thinking Engage with the data science lead and the engineering team stakeholders on the solution approach and draft a plan of action.

• Contribute to product/team roadmap by generating and implementing innovative data and analysis based ideas as product features

• Handhold/Guide team in successful conceptualization and implementation of key product differentiators through effective benchmarking.

HERE'S WHAT WE ARE LOOKING FOR :

• Good understanding of C++, Golang programming skills and system architecture understanding

• Experience with IOT, telemetry will be a plus

• Proficient in R markdown/ Python/ Grafana 

• Proficient in SQL and No-SQL

• Proficient in R  / Python programming

• Good understanding of ML techniques/ Sparks ML

YOU BRING TO ATHER:

• B.E/B.Tech preferably in Computer Science

•  3 to 5 yrs of work experience as Data Scientist

Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.

Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.

We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!

• Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
• Daily Grind: Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD,
• Career Progression: Senior ML Engineer, ML Architect

• Work in a product-development team capable of independently authoring software products.
• Guide junior programmers, set up the architecture, and follow modular development approaches.
• Design and develop code which is well documented.
• Optimize of the application for maximum speed and scalability
• Adhere to the best Information security and Devops practices.
• Research and develop new approaches to problems.
• Design and implement schemas and databases with respect to the AI application
• Cross-pollinated with other teams.

HARD AND SOFT SKILLS

Must Have

• Problem-solving abilities
• Extremely strong programming background – data structures and algorithm
• Advanced Machine Learning: TensorFlow, Keras
• Python, spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning
• Experience with OOPs and design patterns
• Exposure to RDBMS/NoSQL
• Test Driven Development Methodology

Good to Have

• Working in cloud-native environments (preferably Azure)
• Microservices
• Enterprise Design Patterns
• Microservices Architecture
• Distributed Systems

The Data Engineer would be responsible for selecting and integrating Big Data tools and frameworks required. Would implement Data Ingestion & ETL/ELT processes

Required Experience, Skills and Qualifications:

• Hands on experience on Big Data tools/technologies like Spark,  Databricks, Map Reduce, Hive, HDFS.
• Expertise and excellent understanding of big data toolset such as Sqoop, Spark-streaming, Kafka, NiFi
• Proficiency in any of the programming language: Python/ Scala/  Java with 4+ years’ experience
• Experience in Cloud infrastructures like MS Azure, Data lake etc
• Good working knowledge in NoSQL DB (Mongo, HBase, Casandra)

Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities: 

• Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions. 
• Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
• Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
• Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
• Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.

What You’ll Do

• Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
• Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data. 
• Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.

What You’ll Need

• 7+ years experience in building large scale products, data platforms, distributed systems in a high caliber environment.
• Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
• Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
• Data Engineering: Expertise in one of the big data analytics technologies we currently use such as Apache Hadoop (HDFS and YARN), Apache Hive, Impala, Drill, Spark, Tez, Presto, Calcite, Parquet, Arrow etc. Under the hood experience with similar systems such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon EMR, Amazon RedShift, Docker, Kubernetes, Mesos etc.
• Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
• A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
• Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.

Company Profile and Job Description  

About us:  

AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries.  

For more details visit: www.athenasowl.tv   

Responsibilities:   

• Develop cutting edge machine learning solutions at scale to solve computer vision problems in the domain of media, entertainment and sports
• Collaborate with media houses and broadcasters across the globe to solve niche problems in the field of post-production, archiving and viewership
• Manage a team of highly motivated engineers to deliver high-impact solutions quickly and at scale

The ideal candidate should have:   

• Strong programming skills in any one or more programming languages like Python and C/C++
• Sound fundamentals of data structures, algorithms and object-oriented programming
• Hands-on experience with any one popular deep learning framework like TensorFlow, PyTorch, etc.
• Experience in implementing Deep Learning Solutions (Computer Vision, NLP etc.)
• Ability to quickly learn and communicate the latest findings in AI research
• Creative thinking for leveraging machine learning to build end-to-end intelligent software systems
• A pleasantly forceful personality and charismatic communication style
• Someone who will raise the average effectiveness of the team and has demonstrated exceptional abilities in some area of their life. In short, we are looking for a “Difference Maker”