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Develop and optimize AI/ML algorithms for video surveillance products, focusing on computer vision tasks like detection and tracking, using Python/C++ and frameworks like PyTorch/TensorFlow.
Develop and optimize ML/DL algorithms for Reolink's surveillance/monitoring products—covering target detection, tracking, and recognition—using Python, C/C++, and frameworks like PyTorch and TensorFlow, with deployment across NPU/GPU/ARM platforms.
GCP Data Engineer building scalable batch and real-time data pipelines on Google Cloud Platform, supporting AI/ML and analytics use cases with BigQuery, Dataflow, Python, and SQL.
Tech Lead / SDE IV owning batch and real-time data pipelines for a programmatic advertising DSP, processing billions of bid-stream events daily with Kafka, Flink, StarRocks, and Python/Java/Scala, while also architecting backend microservices and mentoring engineers.
Design and build data pipelines and data models on Azure, Databricks, Snowflake, and Postgres to support AI/ML and computer-vision workflows for a digital transformation services company.
Senior Data Engineer leading the re-engineering and validation of an existing Azure Synapse enterprise data platform and driving its migration to Databricks, focused on reverse-engineering complex pipelines, ensuring data governance, and implementing lakehouse architectures.
Data Engineer owning ELT/ETL pipelines, data models, and quality controls for cloud data platforms, with secondary responsibility for production ML pipelines powering a shopping cart computer-vision classifier. Core tech: SQL, Python, Azure/GCP, Airflow/Prefect, Spark/Databricks.
Data Engineer / Data Scientist building data pipelines, ML models, and production ML solutions using Python, PySpark, SQL, Databricks, and MLflow at an IT consulting firm in Bhopal.
Build and maintain an existing PHP backend while developing AI agents, RAG systems, and LLM integrations in Python for a SaaS product.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Senior ML Engineer building production ML systems on Databricks, Snowflake, and AWS for identity resolution, audience targeting, and content personalization at Warner Bros. Discovery's Data & Audience Platform team in Hyderabad.
Innovate in Bengaluru This position is based at our on-site office in Bengaluru. Lowe's offers an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site gym and…
Senior IC role architecting and building production-grade ML, generative AI, and agentic AI systems (LLMs, RAG, SLMs) with MLOps practices for commercial pharma use cases in Bangalore.
The Sr. Principal Machine Learning Engineer will architect and deploy production-grade AI systems, including LLMs, RAG, and agentic workflows, to support pharmaceutical commercial and field engagement use cases. The role involves leading technical design, implementing MLOps/LLMOps practices, and mentoring teams while ensuring scalability, governance, and performance.
The Senior Data Engineer will develop and maintain scalable data models, ELT pipelines, and reporting layers using Snowflake and dbt. The role focuses on integrating SAP MM procurement data to support AI-ready data interfaces and ensuring high data quality and governance.
Roles & Responsibilities – AI Engineer (Automation / Smart Factory) Design, develop, and deploy AI / Machine Learning models to support automation and smart manufacturing systems. Analyze large datasets from…
The Lead Data Scientist will design and maintain predictive models to identify customer readiness for AI product adoption. The role involves collaborating with marketing and product teams to operationalize these models and drive data-informed growth strategies.
Senior Data Scientist designing and deploying predictive and recommendation models on AWS and Databricks pipelines to support KONE's digital services in the elevator and escalator industry.
The Senior AI Engineer will design and deploy cloud-based data pipelines, machine learning models, and full-stack applications to support manufacturing operations. The role involves leveraging GCP, Vertex AI, and modern MLOps practices to build scalable AI solutions and GenAI initiatives.
The AI Engineer will design and build cloud-based data pipelines, develop and deploy machine learning models using Vertex AI, and create full-stack applications with Angular. The role focuses on integrating AI solutions and maintaining production-grade data systems within the Micron ecosystem.
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