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Build and scale ML Ops pipelines in Scala/Python, automate model deployment with Spark/Ray, and optimize cloud costs on AWS/GCP/Azure.
Build and maintain scalable data pipelines and architectures to support AI/ML model training and inference, using Python, Spark, Kafka, and cloud platforms.
Optimize and compile ML models for ByteDance’s recommendation mid-platform, tuning inference/training bottlenecks and building high-performance kernel libraries in C/C++.
Deploys and fine-tunes vision-language and visual foundation models for industrial clients, integrating them into manufacturing, logistics, and other operational systems.
Research and develop advanced computer vision and AI models for public safety and justice solutions, optimizing for performance and edge deployment.
Build and validate ML models for real-time audio/video processing, optimizing performance and reliability for media tech products.
Build AI/ML models that optimize infrastructure design and reduce CO₂ in the built environment using Python and frameworks like PyTorch or TensorFlow.
Build and deploy generative AI and ML applications using embeddings and vector databases to improve healthcare analytics and solutions.
Builds and deploys enterprise-grade GenAI full-stack solutions using React/Angular frontends, Python/Node.js backends, and cloud DevOps, integrating LLMs and document-processing pipelines for healthcare workflows.
Build and deploy generative AI and ML models, focusing on embeddings and vector databases, to improve healthcare solutions and processes.
Build and maintain ML/AI models for healthcare pricing and underwriting using Python, SQL, and TensorFlow to analyze claims, EHR, and prescription data.
Lead a team building real-time probabilistic models for sports betting odds and in-play decisions using Python/R, ML frameworks, and cloud infrastructure.
Build and maintain cloud-native MLOps pipelines for AgZen’s precision agriculture AI, processing multimodal sensor data to improve crop-spraying models and recommendation engines.
Build and deploy production-grade LLM and NLP systems that turn multilingual news, economic events and market narratives into real-time, explainable market intelligence for financial institutions.
Job Description Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development· Proven track record and…
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
Build and deploy generative AI models (LLMs, multimodal) using Python, PyTorch, and Azure; engineer features, evaluate models, and ship solutions to production.
Build and deploy AI/ML models end-to-end using Python and frameworks like PyTorch or TensorFlow, integrating them into production systems.
Design and prototype cybersecurity tools and test environments for national security missions, using Python/C++ and networking concepts to support DoD and intelligence customers.
Senior Data Scientist builds ML models (XGBoost, time-series, recommendations) end-to-end, engineers features from terabyte-scale data, and deploys solutions in production for a top-3 Russian digital bank.
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