77 Ray Jobs - Page 2

Job Description As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusa...

In this role at Eekee AI, you will be responsible for owning the training, alignment, and deployment of the meaning-at-work coach. Your tasks will include designing data pipelines, fine-tuning models, building safety layers, setting evaluations, and shipping to production. **Key Responsibilities:** - Build data flow: sourcing, cleaning, consent/PII scrubbing, augmentation, labeling guidelines - Fine-tune/align (SFT, DPO/RLHF) for coach behavior: listen, reflect, one powerful question, next step - Implement safety: crisis/HR escalation classifiers, toxicity/harassment filters, privacy guardrails - Add context: retrieval for work scenarios; prompts/tools for Question of the Day and Vent - Crea...

Role Overview: You are invited to become a Partner and Co-founder, working with Australian founders to establish and lead the AI Division from the ground up. As a key member of the team, you will be responsible for setting engineering standards, making early stack decisions, developing and launching the first products, and managing the AI Tech team. Key Responsibilities: - Lead the development and delivery of AI products with measurable outcomes - Make decisions at the highest levels on strategy, tactics, and innovation - Build and lead a team to drive innovation from day one - Engage in continuous learning through courses and webinars in the fast-moving AI technology space - Have the opport...

As an SDE-3 Backend at Crimson Enago, you will play a key role in leading a team of web developers and driving end-to-end project development and delivery. Your responsibilities will involve setting engineering examples, overseeing team recruitment and training, and dedicating 100% of your time to coding. Collaboration with various stakeholders such as the Engineering Manager, Principal Engineer, SDE-3 leads, and Technical Project Manager will be essential to ensure successful project outcomes. Key Responsibilities: - Lead a team of web developers and contribute significantly to project development and delivery - Set engineering examples and mentor team members - Recruit, train, and manage t...

Sanas is revolutionizing the way we communicate with the world's first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation have been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reput...

As a Machine Learning Engineer, you will be responsible for designing and implementing scalable machine learning models throughout the entire lifecycle - from data preprocessing to deployment. Your role will involve leading feature engineering and model optimization efforts to enhance performance and accuracy. Additionally, you will build and manage end-to-end ML pipelines using MLOps practices, ensuring seamless deployment, monitoring, and maintenance of models in production environments. - Lead feature engineering and model optimization efforts - Build and manage end-to-end ML pipelines using MLOps practices - Collaborate with data scientists and product teams to understand business requir...

Join our innovative team and shape the future of software development with AI-driven solutions. As an Applied AI/GenAI ML Director within the Ai4Tect Team at JPMorgan Chase, you will utilize your profound engineering knowledge to collaborate with agile teams in enhancing, creating, and delivering trusted, top-tier technology products in a secure, stable, and scalable manner. Your deep expertise will be leveraged to consistently challenge the norm, innovate for business impact, and spearhead the strategic development of new and existing products and technology portfolios. You will stay abreast of industry trends, best practices, and technological advancements. Your role will concentrate on es...

As an aspiring member of the NVIDIA team, you will be joining a group of innovative and hardworking individuals who are at the forefront of technology. NVIDIA has a rich history of transforming computer graphics, PC gaming, and accelerated computing over the past 30 years, and is now leveraging the power of AI to shape the future of computing. If you are someone who is creative, autonomous, and driven to make a difference, we invite you to be a part of our AI Infrastructure Production engineering team and contribute to groundbreaking advancements in the field. Role Overview: - Develop and maintain large-scale systems that support critical AI Infrastructure use cases, ensuring reliability, op...

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Data Technology, you will play a crucial role in designing and delivering innovative technology products in a secure and scalable manner. Your primary responsibility will be leading the design and development of the AI/ML platform, ensuring its robustness, scalability, and high performance. You will also be instrumental in driving the adoption of best practices in software engineering, machine learning operations (MLOps), and data governance. Compliance with data privacy and security regulations pertaining to AI/ML solutions is a key aspect of this role. Moreover, you will be expected to maintain consist...

Job Requisition ID # 25WD91419 Position Overview We are seeking a highly experienced Principal Engineer to lead the design, development, and evolution of our Batch Processing platform , which powers Autodesk's Analytics Data Platform (ADP). This role requires deep technical expertise in distributed data systems, large-scale pipeline orchestration, and hands-on leadership in shaping next-generation data platform capabilities. You will partner closely with Engineering Managers, Architects, Product teams, and Partner Engineering to modernize our data lakehouse architecture, deliver highly reliable data pipelines, and establish technical excellence across ingestion, processing, and governance. R...

Ready to be pushed beyond what you think you're capable of At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep le...

Strong background in GPU architecture (NVIDIA, AMD) and HPC systems. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Hugging Face).Experience with distributed training and orchestration frameworks (KubeFlow, MLflow, Ray, Horovod). Required Candidate profile Knowledge of parallel computing, MPI, CUDA, ROCm, and GPU drivers.Familiarity with storage technologies for HPC/AI (NVMe, Lustre, GPFS, Ceph, Object Storage).

As a Software Engineer III at JPMorganChase within the AI/ML & Data Platform team, you will play a critical role in designing and delivering market-leading technology products. Here's a summary of what you can expect in this role: **Role Overview:** You will be a seasoned member of an agile team, responsible for executing software solutions, design, development, and technical troubleshooting. Your role involves creating secure and high-quality production code, maintaining algorithms, and producing architecture and design artifacts for complex applications. Additionally, you will gather, analyze, synthesize, and develop visualizations and reporting from large data sets to drive continuous imp...

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily . Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own thei...

As a Software Engineer III at JPMorganChase within the AI/ML & Data Platform team, you will play a crucial role in designing and delivering trusted technology products in a secure, stable, and scalable manner. Your responsibilities will involve executing software solutions, troubleshooting technical issues, and creating secure production code that aligns with design constraints. Additionally, you will be involved in analyzing and synthesizing data sets to drive continuous improvement in software applications. **Key Responsibilities:** - Execute software solutions, design, development, and technical troubleshooting with innovative approaches - Create secure and high-quality production code, m...

You will be responsible for the following in this role: - Operating, monitoring, and triaging all aspects of production and non-production environments. - Automating deployment and orchestration of services into the cloud environment as well as other routine processes. - Working on multiple cloud environments like AWS and GCP. - Actively participating in capacity planning, scale testing, and disaster recovery exercises. - Interacting with and supporting partner teams, including Engineering, QA, and program management. - Troubleshooting customer concerns for ML Tuning and inference endpoints on Ray. - Designing and implementing RESTful/RPC API and services using Golang OR Python. - Implementi...

Job Summary: We are seeking an innovative and highly skilled Data Scientist (LLM & Generative AI) with 5+ years of experience in machine learning, natural language processing, and applied AI. The ideal candidate will have deep expertise in large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and agentic AI approaches. This role involves developing intelligent, autonomous, and scalable AI solutions that leverage cutting-edge research in generative AI, transformers, and multi-agent systems. In addition, the candidate will be expected to collaborate closely with engineering teams to bring research into production. Key Responsibilities: Research, design, and im...

We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Associate within the Digital Intelligence team at JPMorgan, you will collaborate with all lines of business and functions to deliver innovative software solutions. You will experiment with, develop, and productionize high-quality machine learning models, services, and platforms to significantly impact both technology and business. You will design and implement highly scalable and reliable data p...

Generative AI Practice Head Location: Pune, Maharashtra (Hybrid) Experience: 7-10 years About the Role Evonence is seeking a Generative AI Practice Head to spearhead its AI initiativesdriving innovation, shaping strategy, and delivering production-ready generative AI solutions. This leadership role requires a blend of deep research expertise, hands-on engineering skills, and team mentorship capabilities. Key Responsibilities Lead the design, development, and deployment of state-of-the-art generative AI systems. Stay ahead of the curve by evaluating and adopting cutting-edge AI research (e.g., NeurIPS, CVPR, ICLR). Serve as the authority and visionary for the company’s generative AI direction...

Job Title: IBU Solution Services AI Senior Engineer Job Function: Analytics and Data Sciences Location: Bangalore, India Hiring Manager: Shubhra Verma Role Level: 7 to 10 years Detailed Description: Responsibilities: Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications. Perform comprehensive data analysis, feature engineering, and model training with large and complex datasets. Collaborate with cross-functional teams to understand business requirements and translate them into sophisticated technical solutions. Architect and deploy scalable AI/ML models, including large language models (LLMs) and transformer-based architectur...

As a member of our team, your primary responsibility will be the development and training of foundational models across various modalities. You will be involved in the end-to-end lifecycle management of foundational model development, starting from data curation to model deployment, by collaborating closely with core team members. Your role will also entail conducting research to enhance model accuracy and efficiency, as well as implementing state-of-the-art AI techniques in Text/Speech and language processing. Collaboration with cross-functional teams will be essential as you work towards building robust AI stacks and seamlessly integrating them into production pipelines. You will be expect...

About Entrupy Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods. Entrupy has developed a patented technology system which utilizes a combination of AI and computer vision to instantly identify and authenticate high value physical goods. Entrupy&aposs solutions serve business customers including leading luxury brands, retailers, e-commerce marketplaces and online resellers in over 60 countries. Entrupy is growing quickly with team members based in the US, India, Japan and Brazil. Entrupy&aposs solutions in market: Entrupy Luxury Authentication Entrupy Sneaker Authentication Entrupy Fingerprinting As we co...

Requirements 45 years of experience as an ML Engineer or Applied Scientist in production Strong Python skills (FastAPI/Flask), with PyTorch or TensorFlow Proficient in building data pipelines and deploying ML systems Experience with LLMs, embeddings, RAG systems, and vector DBs (PGVector/Postgres preferred) Hands-on with multiple LLM providers (OpenAI, Anthropic, Google, open-source) Knowledge of containerization and deployment (Docker, Kubernetes, AWS/GCP, CI/CD) Bonus: Familiarity with LangGraph/LangChain, vLLM, Ray, LLM eval tools, or event-driven systems Responsibilities Build and scale ML pipelines for Novas AI teammates Implement agentic AI workflows with LLMs and orchestration framewo...

About Anyscale: At Anyscale, our mission is to democratize distributed computing and make it accessible to software developers of all skill levels. We are commercializing Ray, a popular open-source project that is creating an ecosystem of libraries for scalable machine learning. Ray is utilized by companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many others to accelerate the progress of AI applications. With Anyscale, we strive to create the best platform for running Ray, enabling any developer or data scientist to scale an ML application from their laptop to the cluster without requiring expertise in distributed systems. We are proud to be backed by Andreessen Horowitz, NEA, and...

You should have expertise in ML/DL, model lifecycle management, and MLOps tools such as MLflow and Kubeflow. Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models is essential. You must possess strong experience in NLP, fine-tuning transformer models, and dataset preparation. Hands-on experience with cloud platforms like AWS, GCP, Azure, and scalable ML deployment tools like Sagemaker and Vertex AI is required. Knowledge of containerization using Docker and Kubernetes, as well as CI/CD pipelines, is expected. Familiarity with distributed computing tools like Spark and Ray, vector databases such as FAISS and Milvus, and model optimization techniques like quantizati...