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About the Role We are seeking a skilled Java Full Stack Developer (React), with the total work experience of 5 to 8 years, to join our dynamic team in Sunnyvale, California. This role is crucial for developing and…
Java Developer building and maintaining Java-based applications with a focus on API integration, automation frameworks, and A/B testing using Java and Python.
Design and deploy advanced ML models (CNNs, RNNs, LSTMs) using Kubernetes and MLOps pipelines; optimize models for scale with distributed training and Apache Spark.
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.
AI Consultant providing technical leadership for building and deploying scalable ML/LLM/SLM applications—including RAG pipelines, custom agents, multimodal systems, and cloud/MLOps infrastructure—on a part-time remote contract basis.
A UI/UX Developer designs intuitive interfaces and experiences for digital products, collaborating with teams to create visually appealing, functional designs and ensuring cross-device responsiveness.
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.
Builds and maintains scalable backend systems and APIs for AI-driven applications, focusing on FastAPI, microservices, real-time streaming (LiveKit), and AI/ML integrations while optimizing deployment pipelines.
Designs and runs automated tests for AI models, APIs, and cloud pipelines to ensure reliability and accuracy of AI-driven systems using Python and CI/CD tools.
Build and maintain FastAPI-based microservices and APIs for AI-driven applications, integrating AI models via MCP frameworks and supporting real-time streaming workflows in collaboration with AI/ML and DevOps teams.
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.
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