Job Title: AI/ML Solution Architect Location: Hybrid / Glenview, IL Duration: Long Terms Contract with Potential Extension. Key Responsibilities Solution Design and ArchitectureDesign and document secure, scalable, and cost-efficient Google Cloud Platform architectures, including AI/ML and Big Data workloads.Develop solutions leveraging Google Cloud Platform services such as Vertex AI, BigQuery, Cloud Functions, and Anthos.Ensure alignment with industry standards, compliance requirements (e.g.,

Job Title: AWS AI/ ML Architect Location: Remote Montvale NJ Duration: Long-term (24+ Months) Job Description: Two highly skilled AWS engineers are needed to implement a state-of-the-art Gen AI agent/Retrieval Augmented Generation (RAG) solution for an asset manager. Combining their deep expertise in AWS cloud services with their experience in the financial services sector, they will be developing a scalable agentic solution. The solution leverages key AWS offerings, such as SageMaker, Bedrock f

Job DescriptionMust Have Technical/Functional Skills 12+ years of experience in AI/ML engineering, including at least 3 years in an architectural role Extensive experience in AI/ML model development, deployment, and lifecycle management. Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Google Cloud Platform, Azure). Strong programming skills in Python, Java, or C++ Proficiency in MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes)

Job Summary:We are seeking an experienced Salesforce & AI/ML Architect with a strong background in Python-based machine learning, Salesforce architecture, and cloud-native integrations. This strategic role is responsible for designing scalable, intelligent systems that bridge CRM with AI capabilities to drive business transformation.Key Responsibilities:Lead the architecture, design, and delivery of Salesforce solutions integrated with AI/ML models.Define best practices for Salesforce custom dev

Basic Qualifications Education Requirements: Bachelor's of Science in a STEM (Science, Technology, Engineering, Mathematics) related field, plus 8 yrs or Master's degree plus 6 yrs. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position The Deep Learning Analytics Center of Excellence (DLACoE) at General Dynamics Mission Systems is actively seeking a seasoned data scientist with a robust background in Deep Learning (DL), a

Basic Qualifications Education Requirements: Bachelor's of Science in a STEM (Science, Technology, Engineering, Mathematics) related field, plus 8 yrs or Master's degree plus 6 yrs. Clearance Requirements: Ability to obtain a Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed wi

Job Title: Java Solution Architect - AI/ML (GenAI) Location: Remote (Within 100 miles of Reston, VA; onsite once a week - preferably Wednesdays) Job Type: Contract Overview: We are actively seeking a Java Solution Architect with deep expertise in Generative AI and Machine Learning architecture to support a range of cutting-edge initiatives. This is a contract-only, high-impact role focused on architecting scalable, secure, and efficient AI/ML solutions using AWS services, with a strong emphasis

Early stage startup hiring Machine Learning Engineer / 100% remote This Jobot Job is hosted by: Christine McNamara Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: Join our dynamic team as a Machine Learning Engineer in the medical technology industry. This is a unique opportunity to leverage your skills in machine learning to contribute to the development of state-of-the-art solutions that will r

Technical Skills:Programming Languages:Python is the go-to language for AI and machine learning due to its simplicity and extensive libraries. Machine Learning and Deep Learning:A solid understanding of algorithms, neural networks, and deep learning techniques is crucial for building and training generative models. Data Engineering:Skills in data cleaning, feature engineering, and data processing are essential for preparing data for training generative models. Model Deployment and Scaling:Gen

AI/ML Engineer need for well-established SaaS company This Jobot Job is hosted by: Joseph Calabrese Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $130,000 - $160,000 per year A bit about us: We are transforming the financial sponsor universe through cutting-edge data science and generative AI solutions. Creating an ecosystem of connected data and actionable intelligence that solves strategic business challenges with purposeful innovation

Greetings!We are actively Hiring a Google Cloud Platform Cloud Architect Position.Thisis a contract opportunity with one of our clients. I have attached the job descriptions below for your review. Job Title: Google Cloud Platform Cloud Architect Position Department:Google Cloud Practice Location: REMOTE Reports To:Practice Lead, Google Cloud Practice Job Overview Zion Cloud Solutions (ZCS) is seeking a highly skilledGoogle Cloud (Google Cloud Platform) Solution Architectto lead the design, impl

Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Find your future at United! We're reinventing what our industry looks like, and what an airline can be - from the planes we fly to the people who fly them. When you join us, you're joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to le

Work Location Type: Hybrid About Grainger: W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two busines

Discover. A brighter future. With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future

Job Description As a Senior Machine Learning Engineer, you will design, develop and deploy machine learning solutions to solve complex problems and integrate them into software systems. You will be involved in translating AI model prototypes into scalable and production ready machine learning systems. You will collaborate closely with engineering, product, data science and operations teams to deliver solutions and monitor the performance of deployed models. Job Responsibilities Develops softwa

Discover. A brighter future. With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future

Job Description: We seek a talented AI/ML Engineer to design, develop, and deploy machine learning models and AI solutions. You will work closely with cross-functional teams to solve real-world problems using data-driven approaches and advanced algorithms. Requirements: Strong experience in Python and ML libraries Proficiency in data analysis, feature engineering, and model tuning Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) Solid understanding of algorithms, statistics,

Our client is expanding its intelligent decisioning capabilities and is seeking a Machine Learning Engineer to help design and build the core AI systems powering the next evolution of its platform. You will join a small, startup-style team focused on building ML-driven personalization, targeting, and optimization capabilities from the ground up. This is a unique opportunity to influence product strategy, own key systems end-to-end, and deliver real-world ML solutions that scale. Key Responsibili

Job Location: 100% Remote (USA) Job Summary: We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skil

Job Description Job Summary : As a Senior Machine Learning Engineer, you will play a pivotal role in driving the development, deployment, and scaling of machine learning models and systems. You will be involved in complex machine learning initiatives, mentor junior and intermediate engineers, and collaborate closely with engineering, product, and data science teams. With your deep expertise in ML engineering and a focus on best practices, you'll ensure that our solutions are robust, scalable, a