11+ Microsoft App-V Jobs in India
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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!
We are looking out for a technically driven "ML OPS Engineer" for one of our premium client
COMPANY DESCRIPTION:
Key Skills
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
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
Location - Remote till covid ( Hyderabad Stacknexus office post covid)
Experience - 5 - 7 years
Skills Required - Should have hands-on experience in Azure Data Modelling, Python, SQL and Azure Data bricks.
Notice period - Immediate to 15 days
Job description
Role : Lead Architecture (Spark, Scala, Big Data/Hadoop, Java)
Primary Location : India-Pune, Hyderabad
Experience : 7 - 12 Years
Management Level: 7
Joining Time: Immediate Joiners are preferred
- Attend requirements gathering workshops, estimation discussions, design meetings and status review meetings
- Experience of Solution Design and Solution Architecture for the data engineer model to build and implement Big Data Projects on-premises and on cloud.
- Align architecture with business requirements and stabilizing the developed solution
- Ability to build prototypes to demonstrate the technical feasibility of your vision
- Professional experience facilitating and leading solution design, architecture and delivery planning activities for data intensive and high throughput platforms and applications
- To be able to benchmark systems, analyses system bottlenecks and propose solutions to eliminate them
- Able to help programmers and project managers in the design, planning and governance of implementing projects of any kind.
- Develop, construct, test and maintain architectures and run Sprints for development and rollout of functionalities
- Data Analysis, Code development experience, ideally in Big Data Spark, Hive, Hadoop, Java, Python, PySpark,
- Execute projects of various types i.e. Design, development, Implementation and migration of functional analytics Models/Business logic across architecture approaches
- Work closely with Business Analysts to understand the core business problems and deliver efficient IT solutions of the product
- Deployment sophisticated analytics program of code using any of cloud application.
Perks and Benefits we Provide!
- Working with Highly Technical and Passionate, mission-driven people
- Subsidized Meals & Snacks
- Flexible Schedule
- Approachable leadership
- Access to various learning tools and programs
- Pet Friendly
- Certification Reimbursement Policy
- Check out more about us on our website below!
www.datametica.com
WE ARE GRAPHENE
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!
WHAT WILL THE ENGINEER-ML DO?
- 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
YOU CAN EXPECT TO
- 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
Role: |
Senior Machine Learning Engineer |
Experience Level: |
4 -6 Years of experience |
Work location: |
Mumbai (Malad W) |
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”