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ML Platform Engineer – Google Cloud (GCP) and Vertex AI
Build and automate ML pipelines on Google Cloud using Vertex AI, TensorFlow, and Kubernetes to deploy scalable AI models with CI/CD and monitoring.
Member of Technical Staff - Machine Learning Infrastructure Engineer
Build and scale ML infrastructure for post-training research on large language models, including compute, scheduling, and evaluation systems using PyTorch/JAX and cloud platforms.
Backend Developer (Python)
Build and maintain Python-based backend services and APIs for mobile apps using FastAPI, PostgreSQL, and cloud platforms like GCP and AWS.
Full-Stack Data Scientist
Build and deploy ML models, analyze data, and create BI dashboards to drive business decisions using Python/R, SQL, and tools like TensorFlow and Power BI.
Senior Data Scientist
Build and deploy production-grade AI/ML models (LLMs, NLP, CV, forecasting) to solve complex business problems, using Python, TensorFlow/PyTorch, and cloud ML platforms.
Lead Data Scientist
Lead a team to design, prototype, and deploy generative AI and NLP solutions (LLMs, chatbots) that solve real healthcare business problems, bridging technical execution with strategic business goals.
Старший аналитик-исследователь (Data Science / GenAI)
Разрабатывает мультиагентную GenAI-платформу для анализа финансовых данных, прогнозирования трендов и подготовки инвестиционных исследований с использованием LLM, временных рядов и RAG.
Machine Learning Engineer
Builds and deploys AI-driven predictive models for cardiovascular risk, user engagement, and health recommendations in a healthcare-focused AI platform.
Senior AI/ML Engineer
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Data Engineer-Advanced Analytics - eSC or eDV Clearance Required
Lead a team to design and build advanced analytics solutions using Python, SQL, and big-data tools like Spark, while mentoring junior engineers and applying predictive analytics.
Senior Machine Learning Engineer, Physical AI
Owns the full ML lifecycle for physical AI, from sensor data pipelines to deploying optimized models on constrained hardware, collaborating with embedded teams to ensure reliability and performance in real-world devices.
Artificial Intelligence/Machine Learning 2
Leads geographically diverse AI/ML teams, serving as a primary point of contact for AI-related matters while designing and implementing machine learning models using frameworks like PyTorch and TensorFlow.
Data Scientist
Build and deploy ML models (classification, regression, clustering) for finance, healthcare, and tech clients, then visualize insights and productionize pipelines.
Machine Learning Engineer
Build and deploy ML tools (LLMs, multimodal, GenAI) to automate engineering workflows for an electric flying-taxi startup.
Senior Software Engineer (AI/ML) - Part-time | Remote
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and agent frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
ML Engineer
Build and fine-tune NLP/LLM models for client projects, crafting pipelines and deploying production-ready AI features using PyTorch, LangChain, and vector databases.
Junior Data Scientist
Assist in analyzing datasets, building ML models, and visualizing insights using Python/R and libraries like scikit-learn and Pandas.
Data Engineer
Build and maintain scalable data pipelines and cloud-based warehouses using Spark, Python, and AWS services like Glue, S3, and Athena to enable analytics and reporting.
Data Scientist
Build and optimize generative AI models using PyTorch, Hugging Face, and LangChain, then ship applications that leverage LLMs to support business decisions.