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Build and optimize AI agents, LLM pipelines, and RAG systems for an e-commerce customer support platform using Python and modern ML frameworks.
Senior ML Engineer designs, builds, and leads AI systems (LLM chatbots, RAG pipelines, OCR) in a high-scale fintech environment while mentoring engineers and setting technical direction.
Build, train, and deploy ML models from prototype to production, analyzing data to drive AI-driven business improvements.
Build and deploy enterprise-grade ML systems using Python, Docker, Kubernetes, and MLOps tools like MLflow.
Build and deploy AI agents, ML models, and agentic workflows to automate FPGA testing and development using Python, LLMs, and RAG pipelines.
Builds and optimizes ML infrastructure and tooling to improve training, inference, and GPU utilization for Reddit’s AI systems, enabling faster experimentation and cost-efficient scaling.
Master thesis role developing a physics-informed AI controller for grid-tied inverters, comparing linear/predictive baselines and researching AI-based implementations.
Design, train, and deploy ML models for autonomous robotics systems, integrating perception, planning, and control with ROS/ROS2 and sensor fusion.
Build and scale core ML systems from scratch for an AI data startup, training and deploying LLMs and reinforcement learning agents while shaping technical culture and infrastructure.
OPSWAT , a global leader in IT, OT , and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to…
Research and train state-of-the-art code-focused LLMs for IDE assistants, focusing on pretraining, fine-tuning, and agentic tool use while publishing open-source tools and datasets.
Develops neural-network-based computer vision models for novel cybersecurity applications in a simulation-focused R&D company.
Designs, develops, and deploys advanced ML models to solve business challenges, collaborating with cross-functional teams to optimize data pipelines, algorithms, and production systems using Python, TensorFlow, PyTorch, and cloud platforms like AWS/Azure.
Builds and applies AI/ML models (e.g., GenAI, predictive analytics) to analyze defense logistics data and maintain secure, multi-level datasets for aircraft survivability programs.
Lead a team to design and refine algorithmic trading strategies and machine learning systems for equity markets in Asia, collaborating with traders and developers.
Build and deploy ML models and data pipelines in Python/SQL, optimizing for production performance and real-time insights in a cloud environment.
Maintain and optimize core ML systems for a large FTSE 100 company, debugging data flows and forecasting models using Python, GCP, and Vertex AI.
Lead the build and operation of MLOps platforms on AWS for autonomous-driving ML workloads, using Ray, Kubernetes, Airflow, and MLflow to ensure reproducible, traceable, and auditable pipelines.
Build and deploy large language models for financial workflows, optimizing training and serving to improve agent efficiency and customer experience in banking systems.
Lead a team integrating AI/ML models into grid and HVDC systems, designing scalable software and collaborating with data scientists to validate technical feasibility.
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