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Design and implement scalable AI architectures, collaborating with cross-functional teams to drive innovation and efficiency using technologies like AWS Bedrock, SageMaker, Azure OpenAI, Vertex AI, Python, PyTorch, and RAG.
AI QA Engineer validating AI-driven solutions through automated testing, API/ETL testing, model validation, and bias detection using Python, Selenium, and CI/CD tools on-site in Delhi.
An MLOps Engineer leads technical initiatives, designs scalable ML systems, and mentors teams to implement end-to-end ML workflows using AWS/Azure, Kubernetes, and MLOps tools like MLflow and Kubeflow.
Onsite Applied AI Engineer in Los Angeles building end-to-end AI features (LLM, computer vision) from conception to deployment using Python, TensorFlow, Django, Flask, and AWS.
AI Engineer building and deploying machine learning models with PyTorch, TensorFlow, Python, and Scala in Bangalore with remote flexibility.
Python Developer building scalable Flask/Django apps, integrating ML libraries (TensorFlow/PyTorch), managing CI/CD pipelines, and working with microservices and GraphQL APIs.
Develops and maintains Python-based applications with ML integration, APIs, and microservices for high-performance solutions; collaborates with data engineering teams to optimize and deploy scalable systems.
An Applied AI Scientist designing, developing, and deploying machine learning models (NLP, TensorFlow/PyTorch) in cloud environments using Python and Docker, in a hybrid role based in Acalanes Ridge, California.
Design, optimize, and deploy deep learning models using Python, PyTorch, and TensorFlow on AWS/GCP in a fully remote, hourly contract role.
Machine Learning Engineer designing, developing, and implementing ML models and optimizing pipelines in a fully remote role using Python, Java, cloud ML services, and frameworks like TensorFlow/PyTorch.
Data Engineer building and maintaining scalable ETL data pipelines for AI/ML model training, using Python, SQL, and tools like Airflow in an onsite role in Pune.
The ML Engineer integrates AI/ML models into production, optimizes inference pipelines, manages CI/CD workflows, and builds Agentic/multimodal AI systems using Python, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms.
Machine Learning Engineer implementing ML solutions on a Procure to Pay project in a hybrid Pune setting, writing clean Python/ML code under senior mentorship with a focus on data preprocessing, model building, and team collaboration.
An AI Research Engineer develops and deploys machine learning models, conducts research, and collaborates with teams to solve complex problems using Python, TensorFlow, PyTorch, and NLP/Computer Vision techniques.
Senior Computer Vision Engineer builds AI-powered visual systems for retail robots, focusing on barcode/QR scanning, product recognition, and edge deployment using OpenCV, PyTorch, and ROS2.
Builds and deploys generative AI and agentic systems using LLMs, LangChain/LangGraph, and Python to automate workflows and support healthcare applications.
Builds and modernizes Liquidline’s cloud-first data platform (BigQuery, Airbyte) from legacy on-premise systems, designing scalable data pipelines and AI-ready architectures for acquisitions and analytics.
Develop AI models to analyze soil images and XCT scans for geotechnical labs, classifying soil structures and assessing sample quality to support digital soil analysis and Marine Ground Digital Twin initiatives.
Builds and maintains AI/ML systems and infrastructure for a large bank, using Python, ML frameworks, and cloud platforms while integrating enterprise-approved AI-assisted development tools.
Entry-level Data Scientist developing and deploying machine learning models for fraud detection and risk assessment using Python, SQL, and popular data science libraries in a cross-functional team.
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