Skills & Experience

Experience in data annotation or labeling for ML/AI projects.

Hands-on knowledge of tools like CVAT, Labelbox, Supervisely, VGG (VIA), Roboflow, etc.

Understanding of computer vision concepts (object detection, classification, segmentation).

Strong attention to detail with the ability to follow guidelines precisely.

Ability to work with large volumes of data and maintain quality.

Skills & Experience

Understand business requirements and data needs

Build scalable data pipelines and platforms

Implement data governance, automation, and best practices

Collaborate, lead teams, and mentor juniors

Own projects and drive continuous improvement

Automate deployments for data and ML systems

Collaborate with cross-functional teams

Skills & Experience

7+ years in data integration with SQL Server, MPP, and Azure platforms

Python experience with modern data libraries

Hands-on with Azure Functions, AI tools, and vector databases

Strong in SSIS, ADF, SQL/T-SQL, XML/JSON

Experience with CI/CD, GitHub, and data warehousing

Strong problem-solving and collaboration skills

Bachelor’s degree in a related field

Skills & Experience

Programming: Python (Advanced), FastAPI

Cloud: AWS / Azure (hands-on)

GenAI: LangChain, LlamaIndex, Agentic AI frameworks, Vector DBs, LLM APIs, context engineering

GenAI Platforms: Azure OpenAI, AWS Bedrock, Databricks, Dataiku

Software Engineering: System design, microservices, distributed and event-driven architectures, SDLC

Skills & Experience

Expertise in Java (11+), Spring Boot, Hibernate, and microservices

Hands-on with Kubernetes, GCP/Cloud, Kafka, MSSQL, NoSQL

Strong knowledge of Data Structures, Algorithms, and System Design

Experience with JUnit, Mockito, Maven/Gradle, Git, CI/CD tools

Familiar with Agile methodologies and security standards (OAuth2, JWT, OWASP)

Frontend experience with JavaScript, HTML, CSS, React (17+)

Skills & Experinec

Full-stack QA with experience across data, API, and UI testing

8+ years of QA experience required

Strong ETL QA and SQL skills (multiple data feeds, no data warehouse)

Knowledge of Azure Cloud, CI/CD, and DevOps processes

Experience in automation and API testing (Selenium or Playwright)

Gherkin mandatory

Willingness and ability to learn data concepts on the job

Skills & Experience

8+ years of AEM (6.5 & Cloud) experience

Strong Java fundamentals and AEM component development

Experience with AEM Sites, Assets (DAM), multisite, cloud migration

Hands-on with Fragments, GraphQL, Groovy, Dispatcher

Knowledge of AEM build lifecycle, JUnit, Maven

Frontend skills: HTML, SCSS, JavaScript, Bootstrap

Understanding of system design, caching, and Agile practices