We are seeking a Data Engineer with strong Python skills to build and maintain scalable data pipelines and analytics systems.

• Develop and maintain data pipelines using Python.
• Build ETL/ELT workflows and integrate data from multiple sources.
• Optimize data models, performance, and data quality.
• Collaborate with analysts and data scientists.
• Support cloud-based data platforms.

• Strong Python and SQL skills.
• Experience with cloud platforms (AWS/Azure/GCP).
• Familiarity with orchestration tools (Airflow/Prefect).
• Knowledge of data warehouses (Snowflake/Redshift/BigQuery preferred).

Link to apply

We are seeking a Senior AI/ML Engineer with strong experience in Machine Learning, NLP, and Generative AI to build scalable, production-ready AI solutions. This role focuses on LLM-based workflows, RAG pipelines, and agentic systems deployed primarily on AWS.

• Build and deploy ML + GenAI solutions for production
• Develop LLM-based workflows using RAG, embeddings, and prompt engineering
• Design agentic/multi-step AI systems for real-world use cases
• Build scalable APIs and ML pipelines on AWS
  

• Strong ML + NLP foundation with hands-on GenAI experience
• LLMs, RAG, embeddings, vector search
• Agentic AI frameworks (LangChain or similar)
• AWS deployment experience (SageMaker, Bedrock preferred)
  
• SQL and large-scale data handling
  

Link to apply

We are looking for an AI/ML Engineer with strong Python skills to build, deploy, and scale machine learning models and intelligent systems.

• Develop, train, and deploy ML models using Python.
• Build data pipelines for model training and inference.
• Evaluate model performance and improve accuracy.
• Implement MLOps practices for monitoring and deployment.
  
• Work with structured and unstructured data.

• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Solid SQL and data handling skills.
• Familiarity with cloud platforms (AWS/Azure/GCP).
• Understanding of model deployment and monitoring.
  

Link to apply