- Oracle (Nashville, TN)
- …operations, eliminate technical debt, and propose automation opportunities. Collaborate with AI/ ML Ops and data engineering teams to evolve architectures, enhance ... preferred + Relevant **Cloud MLOps / AI certifications** (eg, AWS ML Specialty, GCP ML Engineer, Azure AI, NVIDIA MLOps, Linux Foundation MLOps Practitioner) +… more
- Citigroup (New York, NY)
- …be instrumental in leading this strategic initiative, combining deep expertise in AI/ ML and agentic systems with exceptional product management skills, a strong ... a deep understanding of agentic AI principles, multi-agent systems, various AI/ ML techniques (eg, natural language processing, predictive analytics) as they apply… more
- Lilly (Indianapolis, IN)
- …MLflow) + Integrate LLM reasoning with domain tools (RDKit, molecular graph ML , ELN/LIMS APIs, instrument drivers) to build composite agents that plan, simulate, ... or experience. + Approximately 1-2 years of demonstrated experience of applying AI/ ML in scientific discipline such as biology, chemistry, neuroscience, or a related… more
- Guidehouse (Arlington, VA)
- …and measurable outcomes. + Translate complex business challenges into actionable AI/ ML and data solutions using platforms such as Snowflake, Databricks, and ... Azure/AWS/GCP. **Solution Development & Innovation** + Design and lead AI/ ML and analytics solutions using best-in-class tools and platforms. + Translate business… more
- NVIDIA (NY)
- …and next-generation GPU architectures. + Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues ... collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML /DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by… more
- Google (Mountain View, CA)
- …defining the top-level SoC architecture and chiplet strategy for our next-generation ML accelerators. This role requires deep expertise in SoC design, chiplet ... integration, and ML -specific hardware. Responsibilities: + Define and own the System-on-Chip...Define and own the System-on-Chip (SoC) architecture for next-generation ML accelerators. + Lead the architecture and design of… more
- Microsoft Corporation (Redmond, WA)
- …analytics, research) + OR equivalent experience. + 3+ years of experience in applied ML , NLP, or deep learning. + 3+ years of experience in machine learning ... years of experience with programming skills in Python and ML frameworks (eg, PyTorch, TensorFlow). **Other Requirements:** Ability to...OR PhD AND 3+ years of experience in applied ML or AI research. + Experience with distributed training… more
- Red Hat (Boston, MA)
- …years of software engineering experience, with at least 4 years focusing on ML /AI systems in production environments + Strong expertise in Python, with demonstrated ... experience building and deploying production ML systems + Deep understanding of Kubernetes and container...Deep understanding of Kubernetes and container orchestration, particularly in ML workload contexts + Extensive experience with MLOps tools… more
- NVIDIA (New York, NY)
- …and next-generation GPU architectures. + Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues ... collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML /DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by… more
- DoorDash (San Francisco, CA)
- …about this opportunity because you will + Use cutting-edge research in ML /AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis ... from data and use these insights to build relevant ML models. + Write clean, efficient, and sustainable code...Are working towards a Masters degree in Computer Science, ML , NLP, Statistics, Information Sciences or related field and… more
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