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Senior Machine Learning Engineer
Senior Machine Learning Engineer (4-7 yrs) who designs advanced ML/GenAI models and deploys them on AWS: building RAG pipelines, agentic AI apps with LangChain/LangGraph and Bedrock, vector search, and secure LLM solutions using Python, SageMaker, Lambda, and CI/CD.
Lead Data Scientist
Lead Data Scientist at Zorba AI in Bengaluru who leads end-to-end AI and analytics client engagements: designing predictive ML models with Python, R, Spark, and TensorFlow, mentoring data scientists, and driving delivery, client stakeholder management, and pre-sales across retail, pharma, banking, and insurance.
Data Engineer
Data engineer in Abu Dhabi who designs, builds, and maintains scalable ETL/ELT pipelines, data warehouses/lakes, and batch and real-time processing that power analytics, AI, and ML products. Core stack: Python, SQL, Spark, Airflow, AWS/Azure/GCP, Snowflake/BigQuery, Docker, and Kubernetes.
Machine Learning Engineer
Machine Learning Engineer in the Delhi-NCR region who builds and optimizes ML models in Python (Scikit-learn, Pandas, NumPy) and manages their full lifecycle — preprocessing, training, evaluation, deployment, and production monitoring — collaborating with data scientists and engineers and applying MLOps practices.
Python Developer / AI Engineer (Document Processing)
Remote, project-based (outstaff) Middle+/Senior Python/AI engineer building an MVP service that ingests financial documents (Excel, PDF, scans), extracts and normalizes data, and reconciles records to surface discrepancies. Core stack: Python, FastAPI, pandas, REST, Docker, PostgreSQL, plus OCR/Document AI and optional LLM API integration.
Data Scientist / Badacz ds. AI i analizy danych
Wynagrodzenie umowa o pracę: 18000 – 25000 PLN / mies. brutto W EXSO na co dzień realizujemy projekty dla klientów z sektora przemysłowego, wdrażając innowacyjne rozwiązania B2B wspierające ich procesy biznesowe i…
Software Engineer III
Lead software engineer in TD Bank's Enterprise Data Management Office, delivering data catalog services as a product: designing relational and graph data models, ingestion pipelines, and cloud architecture on PostgreSQL, Python, Kafka and Azure, while mentoring the team, governing AI-assisted workflows, and owning end-to-end delivery.
Python Developer
Onsite Python developer in Korba, Chhattisgarh building ML/AI solutions for an industrial group: predictive, forecasting and anomaly-detection models, RAG chatbots, AI agents, and data pipelines from SAP, OSI PI and IoT plant systems, deployed as APIs with MLOps. Stack spans Python, FastAPI, LangChain, scikit-learn, PyTorch and SAP integrations.
Databricks Engineer
Builds and maintains large-scale data processing pipelines with PySpark on AWS EMR — designing, testing, deploying pipelines, troubleshooting Spark/ETL issues, and writing technical documentation. Requires 5-8 years of big data development experience; Databricks proficiency is a plus.
Data Engineer
Data Engineer in Gurugram designing, building, and maintaining large-scale ETL data pipelines on AWS, plus developing data warehousing solutions and troubleshooting data quality, performance, and security. Core tech: Python, Spark, Glue, Hadoop, Kafka, and AWS services like S3, Lambda, and Redshift.
Data Analyst
Data Analyst at Zipher (Tel Aviv) owns end-to-end analytics for a cloud platform that autonomously orchestrates data and AI workloads — defining product KPIs, building dashboards, and running production-grade data pipelines on enterprise-scale telemetry using SQL, Python, and tools like Databricks/Spark.
Agentic AI Engineer
Designs, builds, and deploys production-ready agentic AI systems — single- and multi-agent LLM applications with LangChain/LangGraph, RAG pipelines, and FastAPI/Flask backend services, primarily on Azure. Focus areas include agent orchestration, evaluation, observability, security, and cost optimization.
Python Developer
Mid-level Python developer (6–8 years' experience) on a 6-month extendable contract in Northampton, hybrid. Day to day: writing Python scripts for data processing and transformation with Pandas/NumPy, handling CSV/JSON/XML files and APIs, and writing unit/regression tests. Pays £100–400 per day.



