
Azure Architect
at Wewill disclose the client name after theinitial screening.
Job title: Azure Architect
Locations: Noida, Pune, Bangalore and Mumbai
Responsibilities:
- Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity
- Design and Develop the Data lake, Data warehouse using Azure Cloud Services
- Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure
- Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions
- Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
- Must possess good client-facing experience with the ability to facilitate requirements sessions and lead teams
- Support internal presentations to technical and business teams
- Provide technical guidance, mentoring and code review, design level technical best practices
Experience Needed:
- 12-15 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years’ experience designing and building analytics solutions in Azure.
- Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time
- Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions
- Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
- Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and Azure Analysis Services and other ETL technologies.
- Experience in Perform Design, Development & Deployment using Azure Services ( Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python and SSIS)
- Worked with transactional, temporal, time series, and structured and unstructured data.
- Deep understanding of the operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).
Mandatory Skills: Azure Synapse, Data Factory, Azure Data Lake Storage, Azure DW, Databricks, Python

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Remote Job Opportunity
Job Title: Data Scientist
Contract Duration: 6 months+
Location: offshore India
Work Time: 3 pm to 12 am
Must have 4+ Years of relevant experience.
Job Summary:
We are seeking an AI Data Scientist with a strong foundation in machine learning, deep learning, and statistical modeling to design, develop, and deploy cutting-edge AI solutions.
The ideal candidate will have expertise in building and optimizing AI models, with a deep understanding of both statistical theory and modern AI techniques. You will work on high-impact projects, from prototyping to production, collaborating with engineers, researchers, and business stakeholders to solve complex problems using AI.
Key Responsibilities:
Research, design, and implement machine learning and deep learning models for predictive and generative AI applications.
Apply advanced statistical methods to improve model robustness and interpretability.
Optimize model performance through hyperparameter tuning, feature engineering, and ensemble techniques.
Perform large-scale data analysis to identify patterns, biases, and opportunities for AI-driven automation.
Work closely with ML engineers to validate, train, and deploy the models.
Stay updated with the latest research and developments in AI and machine learning to ensure innovative and cutting-edge solutions.
Qualifications & Skills:
Education: PhD or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
Experience:
4+ years of experience in machine learning and deep learning, with expertise in algorithm development and optimization.
Proficiency in SQL, Python and visualization tools ( Power BI).
Experience in developing mathematical models for business applications, preferably in finance, trading, image-based AI, biomedical modeling, or recommender systems industries
Strong communication skills to interact effectively with both technical and non-technical stakeholders.
Excellent problem-solving skills with the ability to work independently and as part of a team.
● Attending virtual sales meetings.
● Responding to client’s queries via email or calls.
● Determining a client’s business requirements and whether the products being considered are suitable.
● Answering any technical questions, the client might have
● Presenting your findings to the technical team & project manager to act on, after confirmation from the Project manager convey the outcome to the client
● Carry out cold-calling in order to create interest in products and services, generate new business leads and arrange meetings.
● Prepare and deliver presentations and demonstrations to customers.
● Meet sales targets set by managers and contribute to team targets.
HTML, CSS, Javascript, UI Prototyping, Photoshop, Illustrator, Corel Draw, Adobe
Must Knowledge of Adobe XD.
Experience: 3-5 Years Experience
- Public clouds, such as AWS, Azure, or Google Cloud Platform
- Automation technologies, such as Kubernetes or Jenkins
- Configuration management tools, such as Puppet or Chef
- Scripting languages, such as Python or Ruby



- · 3+ Yrs Solid knowledge of frontend development with a minimum of 2 years of work on ReactJS,/ React native
- · Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- · Strong & thorough understanding of Reactjs and its core principles
- · Experience with popular Reactjs workflows such as Redux
- · Knowledge of isomorphic React is a plus
- · Familiarity with RESTful APIs
- · Familiarity with modern front-end build pipelines and tools
- · High coding standards - understanding of test coverage best practices & test pyramid concept
- · Familiar with Continuous Delivery approach
- · Experience with Distributed and Concurrent Systems, knowing the tradeoffs between stateful/stateless and synchronous/asynchronous architectures
- · Passion about technology and its relationship with product and user experience
- · Ability to work independently - identify problems, create plans and implement solutions to them
About the Company
- 💰 Early-stage, ed-tech, funded, growing, growing fast
- 🎯 Mission Driven: Make Indonesia competitive on a global scale
- 🥅 Build the best educational content and technology to advance STEM education
- 🥇 Students-First approach
- 🇮🇩 🇮🇳 Teams in India and Indonesia
Skillset 🧗🏼♀️
- You primarily identify as a DevOps/Infrastructure engineer and are comfortable working with systems and cloud-native services on AWS
- You can design, implement, and maintain secure and scalable infrastructure delivering cloud-based services
- You have experience operating and maintaining production systems in a Linux based public cloud environment
- You are familiar with cloud-native concepts - Containers, Lambdas, Orchestration (ECS, Kubernetes)
- You’re in love with system metrics and strive to help deliver improvements to systems all the time
- You can think in terms of Infrastructure as Code to build tools for automating deployment, monitoring, and operations of the platform
- You can be on-call once every few weeks to provide application support, incident management, and troubleshooting
- You’re fairly comfortable with GIT, AWS CLI, python, docker CLI, in general, all things CLI. Oh! Bash scripting too!
- You have high integrity, and you are reliable
What you can expect from us 👌🏼
☮️ Mentorship, growth, great work culture
- Mentorship and continuous improvement are a part of the team’s DNA. We have a battle-tested robust growth framework. You will have people to look up to and people looking up to you
- We are a people-first, high-trust, high-autonomy team
- We live in the TDD, Pair Programming, First Principles world
🌏 Remote done right
- Distributed does not mean working in isolation, feeling alone, being buried in Zoom calls
- Our leadership team has been WFH for 10+ years now and we know how remote teams work. This will be a place to belong
- A good balance between deep focussed work and collaborative work ⚖️
🖥️ Friendly, humane interview process
- 30-minute alignment check and screening call
- A short take-home coding assignment, no more than 2-3 hours. Time is precious
- Pair programming interview. Collaborate, work together. No sitting behind a desk and judging
- In-depth engineering discussion around your skills and career so far
- System design and architecture interview for seniors
What we ask from you👇🏼
- Bring your software engineering — both individual brilliance and collaborative skills
- Bring your good nature — we're building a team that supports each other
- Be vested or interested in the company vision




- Extract and present valuable information from data
- Understand business requirements and generate insights
- Build mathematical models, validate and work with them
- Explain complex topics tailored to the audience
- Validate and follow up on results
- Work with large and complex data sets
- Establish priorities with clear goals and responsibilities to achieve a high level of performance.
- Work in an agile and iterative manner on solving problems
- Evaluate different options proactively and the ability to solve problems in an innovative way. Develop new solutions or combine existing methods to create new approaches.
- Good understanding of Digital & analytics
- Strong communication skills, orally and in writing
Job Overview:
As a Data Scientist, you will work in collaboration with our business and engineering people, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling, and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding of how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results.
Primary Responsibilities:
- Develop an understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development
- Combine, explore, and draw insights from data. Often large and complex data assets from different parts of the business.
- Design and build explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques
- Prototype and pilot new solutions and be a part of the aim of ‘productizing’ those valuable solutions that can have an impact at a global scale
- Guides and coaches other chapter colleagues to help solve data/technical problems at an operational level, and in methodologies to help improve development processes
- Identifies and interprets trends and patterns in complex data sets to enable the business to make data-driven decisions

