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🚀 Job Title : Python AI/ML Engineer

💼 Experience : 3+ Years

📍 Location : Gurgaon (Work from Office, 5 Days/Week)

📅 Notice Period : Immediate

Summary :

We are looking for a Python AI/ML Engineer with strong experience in developing and deploying machine learning models on Microsoft Azure.

🔧 Responsibilities :

• Build and deploy ML models using Azure ML.
• Develop scalable Python applications with cloud-first design.
• Create data pipelines using Azure Data Factory, Blob Storage & Databricks.
• Optimize performance, fix bugs, and ensure system reliability.
• Collaborate with cross-functional teams to deliver intelligent features.

✅ Requirements :

• 3+ Years of software development experience.
• Strong Python skills; experience with scikit-learn, pandas, NumPy.
• Solid knowledge of SQL and relational databases.
• Hands-on with Azure ML, Data Factory, Blob Storage.
• Familiarity with Git, REST APIs, Docker.

We're looking for an experienced mid-level Front End Engineer who’s passionate about building mobile and web products. As a Front End Engineer, you will be trusted to architect efficient, scalable, beautiful design systems for our web applications

Company's Name:- WeAssemble

Website:- www.weassemble.team 

Location:- Prabhadevi, 2min walkable from Prabhadevi Railway Station 

Designation:- React.js Developer

Working Days - Monday - Friday 

All Sat & Sun Off 

Office timing - 9:00 - 6:00 

Responsibilities

• Build interactive UI components with ReactJs in various applications.
• Collaborating regularly with backend/API engineers in designing, specifying and implementing services to decouple functionality
• Find opportunities to improve current systems or patterns through auditing or benchmarking
• 'Own' and take lead in newly developed features for current or next generation platforms
• Maintain our front end test coverage by running your own tests and working with our QA team on automated testing
• Lend a hand to help other engineers through pair programming, mentoring, and supporting your teammates

Requirements

• Experience: 5 years
• Good knowledge of ReactJs
• In depth understanding of JavaScript
• Understanding of REST APIs
• Experience with Sass / Scss / Less / CSS
• Have in-depth knowledge of browsers, cross-browser compatibility issues, and how the DOM works
• Bring experience in the day-to-day practices of continuous delivery, automated testing, and agile development
• Comprehensively understand Web Application fundamentals and the libraries/tool chains used to deliver them such as Webpack, Babel, testing with Mocha/Chai or Jest, git and other CI tools

Tools

• Git
• Jira

Good to have

• Experience with Mocha, Chai or Jest
• Experience with Sprint
• Familiarity and experience with Container architecture - Docker/Jenkins and build scripts

Meghal Majithia

HR Recruiter - WeAssemble (Vimontera Consultancy LLP)

Our Technology

• Front-end: JavaScript, Angular (or good understanding of React, Vue JS, Knockout JS or similar)

• Back-end: C#, ASP.NET, Web API, MVC, Entity Framework

• Database: SQL Server. Knowledge of non-SQL databases is a plus

• Cloud: Microsoft Azure, AWS

Responsibilities

• Design of the overall architecture of the web application

• Implementation of a robust set of services and APIs to power the web application

• Building reusable code and libraries for future use

• Optimization of the application for maximum speed and scalability

• Implementation of security and data protection

• Translation of UI/UX wireframesto visual elements

• Integration of the front-end and back-end aspects of the web application

Additiontionalresponsibilitiesfor Project Lead

• Active participation in design\build cycle of the software engineering life cycle (prototyping, architecture, detailed design, development, testing and deployment).

• Providing expertise in technical analysis and solving technical issues during project delivery.

• Code reviews, test case reviews and ensure code developed meets the requirements.

• Collaborate with product management and engineering to define and implement innovative solutions for the product direction, visuals and experience.

• Requirement gathering and understanding, analyze and convert functional requirements into concrete technical tasks and able to provide reasonable effort estimates

• Mentor and develop skills of junior software engineers in the team.

Tech Skills and Qualifications

• Contract Length : 1 year

• Expert knowledge of JavaScript and Node.js, good understanding of Angular and JavaScript testing frameworks (such as Jest,

Mocha etc.)

• Good understanding of Cloud Native architecture, containerisation, Docker, Microsoft Azure/AWS, CI/CD, and DevOps

culture.

• Knowledge of cloud-based SaaS applications/architecture.

• Practical experience in the use of leading engineering practices and principles.

• Practical experience of building robust solutions at large scale.

• Appreciation for functions of Product and Design, experience working in cross-functional teams.

• Understanding differences between multiple delivery platforms (such as mobile vs. desktop), and optimizing output to

match the specific platform.

Profile: Product Support Engineer

🔴 Experience: 1 year as Product Support Engineer.

🔴 Location: Mumbai (Andheri).

🔴 5 days of working from office.

Skills Required:

🔷 Experience in providing support for ETL or data warehousing is preferred.

🔷 Good Understanding on Unix and Databases concepts.

🔷 Experience working with SQL and No-SQL databases and writing simple

queries to get data for debugging issues.

🔷 Being able to creatively come up with solutions for various problems and

implement them.

🔷 Experience working with REST APIs and debugging requests and

responses using tools like Postman.

🔷 Quick troubleshooting and diagnosing skills.

🔷 Knowledge of customer success processes.

🔷 Experience in document creation.

🔷 High availability for fast response to customers.

🔷 Language knowledge required in one of NodeJs, Python, Java.

🔷 Background in AWS, Docker, Kubernetes, Networking - an advantage.

🔷 Experience in SAAS B2B software companies - an advantage.

🔷 Ability to join the dots around multiple events occurring concurrently and

spot patterns.

Job Description

You will lead the journey of growth by analysing, solving the problems and executing new projects on ground!

• Create processes and methods to gather business data and create business reports
• Analyze data to identify problematic areas and suggest improvements
• Responsible for goal setting, planning, and execution of projects at farms
• Develop requirements and operational standards - SOP’s
• Conduct continuous reviews of metrics & drive or assist on improvements

Job Requirement

• Expert in SQL, Excel, other scripting languages (R, Python, etc.)
• 1-2 years of experience as business analyst
• Hands on experience on BI tools - Power BI, Tableau, Qlikview, Data Studio, Excel etc
• Self-driven, energetic, lives and breathes data with a problem-solving mindset.
• Should be enthusiastic for travelling on ground, lead teams and execute projects.

You are a perfect fit if you are:

• A self-starter and a quick learner. Result oriented with execution excellence. A problem solver with a go-getter attitude. Passionate about travelling, executing developing and lead teams.

Join our team

We're looking for an experienced and passionate Data Engineer to join our team. Our vision is to empower Genesys to leverage data to drive better customer and business outcomes. Our batch and streaming solutions turn vast amounts of data into useful insights. If you’re interested in working with the latest big data technologies, using industry leading BI analytics and visualization tools, and bringing the power of data to our customers’ fingertips then this position is for you!

Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics.

What you'll get to do

• Work in an agile development environment, constantly shipping and iterating.
• Develop high quality batch and streaming big data pipelines.
• Interface with our Data Consumers, gathering requirements, and delivering complete data solutions.
• Own the design, development, and maintenance of datasets that drive key business decisions.
• Support, monitor and maintain the data models
• Adopt and define the standards and best practices in data engineering including data integrity, performance optimization, validation, reliability, and documentation.
• Keep up-to-date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using cloud services.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

Your experience should include

• Bachelor’s degree in CS or related technical field.
• 5+ years of experience in data modelling, data development, and data warehousing.
• Experience working with Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis).
• Experience with large scale data processing systems for both batch and streaming technologies (Hadoop, Spark, Kinesis, Flink).
• Experience in programming using Python, Java or Scala.
• Experience with data orchestration tools (Airflow, Oozie, Step Functions).
• Solid understanding of database technologies including NoSQL and SQL.
• Strong in SQL queries (experience with Snowflake Cloud Datawarehouse is a plus)
• Work experience in Talend is a plus
• Track record of delivering reliable data pipelines with solid test infrastructure, CICD, data quality checks, monitoring, and alerting.
• Strong organizational and multitasking skills with ability to balance competing priorities.
• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
• An ability to work in a fast-paced environment where continuous innovation is occurring, and ambiguity is the norm.

Good to have

• Experience with AWS big data technologies - S3, EMR, Kinesis, Redshift, Glue