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Data Science
Data Scientist at Minsait Business Consulting (an Indra company) in Mexico City, building ML solutions for client digital-transformation projects. Day to day involves Python-based analysis and modeling (pandas, scikit-learn, SQL, Jupyter), with optional work in Spark/PySpark and AWS cloud services, under a flexible work scheme.
Cloud Engineer
BT-503 – Cloud Engineer Skill Level: Subject Matter Expert Location: Herndon, VA (fully on-site, no remote option available) **Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will…
IC3 - AI Engineer
AI Engineer at Spin building and shipping Generative AI products — LLM apps, RAG, agents, and internal copilots — into production across the company's ecosystem. Core stack: Python, PyTorch/TensorFlow, LangChain/LlamaIndex/Hugging Face, AWS/GCP AI services, and vector databases.
IC4 - Sr AI Engineer
Senior AI Engineer (IC4) at Spin in Mexico: builds and ships production AI products — LLM customer experiences, RAG, agents, and internal copilots — within a centralized AI Products Chapter embedded across squads. Stack centers on Python (PyTorch/TensorFlow), LangChain/LlamaIndex/Hugging Face, and AWS/GCP AI services.
Senior Machine Learning Engineer
About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a…
Senior Data Scientist
Senior Data Scientist on Zilch's UK Risk team, building and deploying production-grade credit risk, collections and fraud models end to end — from exploration and A/B testing to monitoring. Core stack: SQL, Python (NumPy, Pandas, Scikit-Learn), SageMaker, Git, GitHub Actions, dbt and Looker.
Data Scientist (Remote)
This is a Fully Remote Job About Our Client: The organization operates within the domain of Special Operations Forces support, focusing on enhancing the readiness, performance, resilience, and long-term well-being of…
Data Scientist Healthcare Analytics
Remote Candidates must be located in one of the following States in the US: AZ, FL, GA, IL, IN, MA, MI, MO, NC, NJ, NY, OH, PA, TX, VA, WA The Company Behind the Role Our client is a consultancy that partners with…
AI/ML Engineer I
AI/ML Engineer I building and deploying NLP/language models across the full lifecycle — training, fine-tuning, evaluation, and deployment on AWS (SageMaker) — plus full-stack integration of model-based applications. Requires applied ML experience and strong Java, C, C++, and Python skills.
Technical Lead — Data Science (f/m/x)
We’re looking for a technical lead who can do two hard things at once: keep a team of data scientists shipping work that holds up to scrutiny, and stay close enough to the code to know when it doesn’t. You’ll own the…
Senior Machine Learning Engineer
Build and deploy ML models for game features like matchmaking, economy balancing, and toxicity detection using Python, PyTorch, and cloud infrastructure.
Principal Machine Learning Solutions Architect
Lead end-to-end AI/ML architecture and deployment for enterprise clients, designing scalable, secure solutions and mentoring teams to deliver measurable business impact.
Sr. Machine Learning Engineer
Design, build, and operationalize production AI/ML systems for enterprise clients, translating architectures into clean Python and SQL code, integrating with cloud data platforms and APIs, and contributing to reusable accelerators and engineering standards.
Machine Learning solutions Architect
Design and deliver production-ready AI solutions for enterprises, from RAG and LLM apps to MLOps and agentic workflows, while guiding clients from experimentation to scalable deployment.
Sr. Machine Learning Engineer
Build and deploy production-grade agentic AI solutions like RAG pipelines and multi-agent workflows for enterprise clients, integrating with systems like CRM and ERP using Python and cloud-native AI platforms.
Senior Solutions Architect
Senior Solutions Architect designs, operates, and optimizes cloud-native data platforms (Snowflake, Redshift) for enterprise clients, ensuring performance, security, and scalability while collaborating with cross-functional teams.
Applied AI Solution Architect
Design and implement production-grade agentic AI systems (LLM-powered agents, RAG, multi-agent patterns) for enterprise clients, ensuring reliability, security, and measurable business outcomes.