Remote - Open to candidates worldwide (US, UK, India, and more) Strong communication skills is a must. we value engineers who can explain ideas clearly. 1. Data Engineer Key Skills: - Python, SQL, Spark, dbt - Airflow, Azure Data Factory, or Prefect - Snowflake, BigQuery, or Redshift - Kafka, Kinesis, or Flink (streaming) - CI/CD (GitHub Actions, Jenkins), Docker, Terraform 2. AI/ML Engineer / Data Scientist Key Skills: - Python (Pandas, Scikit-learn, PyTorch, TensorFlow) - ML lifecycle: MLflow, SageMaker, or Databricks - LLMs, NLP, time-series, recommendation systems, Computer Vision, GenAI - FastAPI/Flask for deployment, Hugging Face, LangChain - Experience with cloud-based ML: AWS/GCP/Azure 3. Full Stack Engineer Key Skills: Backend: Node.js / .NET Core / Spring Boot / Python Frontend: React.js / Angular / Vue.js, TypeScript, HTML/CSS Databases: SQL Server, PostgreSQL, MongoDB, Redis API design: REST/GraphQL, OAuth2/JWT DevOps: Docker, Kubernetes, CI/CD, Terraform Nice to Have (for all roles): - Cloud experience (AWS, Azure, GCP) - Agile/Scrum environment experience - Cross-functional collaboration skills What We Offer: - Fully remote work environment - Flexible working hours - Competitive compensation - Opportunities for professional growth and continuous learning