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Build AI-driven equity trading signals using ML research, proprietary data, and modern architectures like LLMs and sequence models in a collaborative quant research team.
Research and build ML-driven trading models using deep learning and NLP to forecast market behavior and enhance financial predictions.
Design and build AI/ML systems for a global investment firm, integrating generative and traditional models into trading platforms using Python, TensorFlow/PyTorch, and cloud infrastructure.
Builds autonomy software for self-driving mining vehicles, focusing on sensor fusion (LiDAR/cameras/radar/IMU/GNSS), perception, localization, mapping, and motion planning. Works across algorithm design, embedded implementation, simulation, and field validation with hardware/controls teams.
Designs, builds, and deploys AI cloud applications using cloud-native services; troubleshoots cloud infrastructure, networking, and performance issues while collaborating with cross-functional teams.
Senior AI/ML Ops Engineer in Bangalore designs and deploys scalable AI/ML pipelines, automates CI/CD workflows, and optimizes cloud infrastructure for Smartsheet's global SaaS platform.
Instruct and mentor a 13-week data science program covering ML, DL, NLP, GenAI, and model deployment using Python, TensorFlow, and AWS SageMaker in Riyadh.
Leads a team of ML and Software Engineers to build and maintain PayJoy’s end-to-end ML ecosystem, including feature stores, model serving, and ETL/feature architecture, bridging business strategy and technical execution.
AI/ML DevOps Engineer building and maintaining CI/CD pipelines and production environments for Gen AI and ML solutions at CI Financial, working with Jenkins, Bitbucket, Snowflake, AWS, Docker, and Python.
Builds and scales the infrastructure and data pipelines behind AI misuse detection systems, enabling researchers to train and deploy lightweight detection methods efficiently using Python and distributed systems.
The Principal Scientist will lead AI/ML and computational projects across early-stage ventures, overseeing method development, platform design, and LLM-based agentic workflows. The role involves managing cross-functional teams and driving technical strategy to accelerate scientific discovery in human health and sustainability.
This role involves leading scientific and machine learning development for hydrology-aware climate modeling within an environmental platform. The scientist will work with large-scale climate datasets and Python-based ML frameworks to build reproducible, physically-informed prediction systems.
Lead a team building multimodal AI systems that unify biological data and scientific expertise to power autonomous discovery engines for drug development and biological research.
The Machine Learning Scientist will build AI models and agentic workflows to analyze complex biological data, including genomics and single-cell datasets, to drive therapeutic discovery. The role involves developing deep learning systems and foundation models to map relationships between genotype, cell state, and disease mechanisms.
Research and build AI-powered tools that improve psychological wellbeing using large language models, reinforcement learning, and computational methods in a fast-moving startup environment.
Lead AI/ML and computational projects to accelerate pharmaceutical R&D, designing agentic workflows that integrate LLMs with omics, biomolecule design, and systems biology tools for end-to-end scientific pipelines.
Develops AI-driven molecular models to advance drug discovery by linking quantum chemistry, reactivity data, and generative design for covalent drug targets, collaborating with chemistry and biology teams.
The Assistant General Counsel (Product) advises Abridge’s AI/ML teams on legal risks, IP, data governance, and compliance for healthcare-focused AI models, shaping frameworks for novel AI applications in real-time clinical documentation and emerging agentic systems.
RTL Design Engineer developing TPU (Tensor Processing Unit) silicon for AI/ML hardware acceleration, using Verilog/SystemVerilog to design and verify ASIC blocks.
Developing and deploying production ML/DL models for time series forecasting and financial market prediction in a DeFi and algorithmic trading product team, using Python, PyTorch, and gradient boosting frameworks.
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