TensorFlow jobs

Senior AI & Data Analytics Architect - Atlanta GA, Hybrid(3 days Onsite). In-person is mandatory and preferred only locals. Must have strong experience in Python, SQL, Machine Learning, Deep Learning, NLP, Generative AI, GPT, Claude, Gemini, Llama, Mistral, Prompt Engineering, RAG, AI Agents, Fine-Tuning, LangChain, LlamaIndex, MLflow, TensorFlow, PyTorch, FastAPI, Data Modeling, ETL/ELT, Data Warehousing, Data Lakes, Lakehouse Architecture, Azure and/or Google Cloud Platform, AI Governance, Model Monitoring, A/B Testing, Performance Benchmarking.

Atlanta, Georgia

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15d ago

Senior AI & Data Analytics Architect Location: Hybrid (3 days onsite) Experience: 12+ Years Key Responsibilities * Design and implement AI/ML and Generative AI solutions using LLMs, RAG, AI Agents, and Vector Databases. * Develop advanced analytics models including forecasting, predictive modeling, and optimization solutions. * Architect modern cloud-based data platforms, data lakes, ETL/ELT pipelines, and real-time data solutions. * Establish AI governance, model monitoring, performance eval

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Third Party, Contract

Depends on Experience

Senior Data Scientist Consultant (Python, SQL, TensorFlow, PyTorch, Scikit-Learn, FTE, Onsite)

Plano, Texas

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Today

Req ID: 374304 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Data Scientist Consultant (Python, SQL, TensorFlow, PyTorch, Scikit-Learn, FTE, Onsite) to join our team in Plano, Texas (US-TX), United States (US). "Please note that we are unable to consider candidates with active CPT, OPT, or OPTstatus for this s

Full-time

USD 63,216.00 - 131,700.00 per year

Senior ML Ops Engineer

Dallas, Texas

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Today

Role Summary We are looking for a Senior ML Ops Engineer to own the full ML lifecycle from model fine-tuning and training to production deployment and monitoring. This role is hands-on with GPUs, Terraform, and scalable ML systems. You'll work onsite 5 days a week in Dallas, TX. Must-Have Skills 10+ years of experience, with recent hands-on ML Ops work (within last 12 months) End-to-end ML system design and implementation from evaluation and statistical modeling to deployment and monitoring

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Third Party, Contract

$65 - $70

MLOPs Engineer - Scottsdale AZ (100% Onsite)

Arizona

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Today

One of our clients is currently hiring for the position of MLOps Engineer Please find the job details below. If you are interested, kindly share your most recent resume at [] Role : MLOps Engineer Location : Scottsdale AZ (100% Onsite) Hire Type : Contract / Full time Role Overview We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems

Full-time, Third Party, Contract

Senior Robotics Simulation Engineer

Mountain View, California

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12d ago

Role OverviewWe are seeking a highly skilled Senior Robotics Simulation Engineer with deep expertise in NVIDIA Isaac Sim and Omniverse. The ideal candidate will work on building high-fidelity simulation environments, enabling robotic perception, motion planning, and validation before real-world deployment. Key ResponsibilitiesDevelop and maintain simulation environments using NVIDIA Isaac Sim and Omniverse Integrate CAD models and generate synthetic datasets for AI/ML training Build auto-annotat

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Third Party

Lead Data Scientist

Chicago, Illinois

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Today

JOB DESCRIPTION: Lead Data Scientist - 2 positions - Work location - Chicago, IL. LOCALS PREFERRED, immediate joiners only Work model - Hybrid - 4 days onsite per week. About the role: We are seeking a seasoned Lead Data Scientist to spearhead AI and machine learning initiatives for our insurance operations. You will design, develop, and deploy advanced GenAI solutions like RAG and Agentic AI workflows to optimize risk assessment, claims automation, fraud detection, and personalized underwritin

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Full-time, Part-time, Third Party, Contract

USD 70-75

Gen AI Developer

Hybrid in Irving, Texas

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26d ago

Key Responsibilities: AI Agent Development: Build and orchestrate AI agents using frameworks like LangChain, AutoGen, or CrewAI, implementing self-healing workflows (e.g., Act-Verify-Refine loops). LLM Integration & Backend: Develop robust backend systems using Python and TypeScript, integrating LLMs into microservices architectures. Data Management for LLMs: Utilize vector databases (Pinecone, Milvus, Weaviate) for agent memory and architect Retrieval-Augmented Generation (RAG) pipelines to enh

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Contract

Depends on Experience

Senior Machine Learning Engineer - Cybersecurity

San Jose, California

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14d ago

Job title: Senior Machine Learning Engineer - Cybersecurity Location: San Jose, CA, USA Duration: Contract Department: ML Job Description We are on the lookout for a Machine Learning Engineer with a specialized focus on cybersecurity. The candidate should have a comprehensive understanding of the evolving landscape of cyber threats and be equipped with the skills to develop AI-driven solutions to these challenges. This role demands expertise in handling and mitigating sophisticated cyber-attacks

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Full-time

Depends on Experience

ML Engineer

Mountain View, California

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25d ago

A global consumer device company islooking for an experiencedMachine Learning Engineerto lead the development of prompt injection and prompt safety models that protect downstream agentic AI systems across phone, cloud, and XR/AR. You will design, train, and deploy classifier and guardrail models (both cloud-based and hybrid on-device) that screen agent inputs and outputs for injection attacks, unsafe content, and policy violations. A core part of the role is post-training these models with RLHF,

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Contract

95 - 110

Python LLM Developer

Irving, Texas

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Yesterday

Role Python LLM Developer Location: Irving, TX ( day1 onsite, hybrid ) Python LLM Python LLM: Should have very strong in-depth knowledge in Python Programming Programming Fundamentals: Proficiency in programming languages commonly used in AI, such as Python, FastAPI. AI/ML Libraries: Familiarity with basic libraries and tools like scikit-learn, Pandas, and NumPy. API Usage: Know-how to integrate pre-trained AI models via APIs, e.g., cloud-based AI services. Data Management: Skills in collecting,

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Full-time

$100,000 - $110,000

Machine Learning Engineer (Google Cloud Platform)

Remote

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Today

Introduction:This position as a Machine Learning Engineer on our team will involve working primarily on the Google Cloud Platform (Google Cloud Platform) for tasks such as inference, deployment automation, experimentation, and sampling. The role also includes integrating Java-based streaming pipelines, working with hybrid infrastructure systems, and utilizing machine learning frameworks like TensorFlow, PyTorch, and JAX. Responsibilities:Evaluate and benchmark new ML inference frameworksDeploy m

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Full-time, Third Party

Depends on Experience

MLOps Engineer with Azure Databricks ML

Remote

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6d ago

ESSENTIAL DUTIES: Utilize Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML based applications. Include AI components into data workflows, engage with data scientists and data engineers. Utilize Azure AI services to implement natural language processing (NLP) create and implement machine learning models and algorithms. Automate the deployment and monitoring of AI models, collaborate with DevOps teams. Use AI t

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Full-time

Depends on Experience

Staff Applied Research and ML , Responsible AI and Safety

Cupertino, California

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Today

Play a part in building the next generation of generative AI applications at Apple. We're looking for AI Leaders, Scientists, Engineers and Researchers to tackle ambitious projects that will impact the future of Apple and our products. Research and advance red teaming methods for LLM's and diffusion models \nResearch and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products\nDevelop tools, metrics, and datasets for assessing and evaluating the safety of LLM's o

Full-time

Hiring Gen AI Engineer Google ADK & Agentic AI at Charlotte, NC

Charlotte, North Carolina

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Today

Job Title: Gen AI Engineer Google ADK & Agentic AI Work Location: Charlotte, NC- Hybrid Key Responsibilities We are seeking a highly skilled Gen AI Engineer with expertise in Google ADK and Agentic AI frameworks to design, develop, and deploy next-generation AI solutions for Capital Markets use cases. The ideal candidate will have strong experience in Large Language Models (LLMs), AI agent architectures, RAG pipelines, and financial domain knowledge across trading and investment systems. You

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Contract

$upto 55+/hr on W2

AI/ML Engineer - LLM Tuning & Agentic Behaviour

Hybrid in Jersey City, New Jersey

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Today

Responsibilities: Design, develop, and implement the behavioral logic and decision-making frameworks for autonomous AI agents.Develop and maintain robust evaluation metrics and testing frameworks to assess agent performance and behavior.Conduct in-depth analysis of LLM performance and identify areas for improvement within the context of agentic tasks.Implement various LLM tuning techniques, including fine-tuning, prompt engineering, reinforcement learning from human feedback (RLHF), and other ad

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Contract

Depends on Experience

AI Engineer

Remote

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4d ago

Job Title - AI Engineer Logistics & Operations Optimization Job Location - Remote-25% Travel Job Duration - 6+ months Description: About the Role We are seeking a highly technical and results-driven AI Engineer to help drive operational efficiency, optimize complex logistics workflows, and reduce costs across the organization. In this role, you will leverage Artificial Intelligence, Machine Learning, and predictive analytics to transform operational challenges into scalable, production-ready

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Contract

65 - 70

Deep Learning Manipulation Engineer

Pittsburgh, Pennsylvania

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Today

Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultim

Full-time

USD 100,000.00 per year

Principal Google Cloud AI Architect

Remote

•

Yesterday

Role Overview We are seeking a hands-on AI Architect to design and implement a predictive decision intelligence system that increases student enrollment conversion. This role will lead the architecture of a machine learning solution that prioritizes high-risk prospects, recommends next-best actions, and integrates with Salesforce. This is a high-impact role combining data science, ML engineering, and enterprise system integration using Google Cloud (BigQuery, Vertex AI). Key Responsibilities AI

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Contract

55 - 75

GENAI / MACHINE LEARNING AI / DATA Scientist

Remote or Wilmington, North Carolina

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Today

Hello, I hope this message finds you well. I'm reaching out to share an exciting opportunity that I believe aligns with your experience and expertise in the field for my client. If you are interested, I'd love to connect and share more details. GenAI Engineer 100% Remote **NO H1B Candidates** REST ALL CAN APPLY ** Only W2 Candidates Experience - 10+ Years Job description:- Skill sets: Ability to develop prototypes, PoCs, MVPs using one or more of the following, AI/ML Knowledge: Strong

Full-time

AI/ML Engineer - Atlanta, GA (Fully Onsite) - (USC)

Atlanta, Georgia

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Today

Job SummaryWe are seeking a highly skilled AI/ML Engineer to join our team in Atlanta, GA. The ideal candidate will have strong experience designing, developing, and deploying machine learning and artificial intelligence solutions in production environments. This role requires close collaboration with data engineers, software developers, and business stakeholders to build scalable AI-driven applications. Key ResponsibilitiesDesign, develop, and deploy machine learning models and AI solutions.Bui

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Contract

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