Calling all Machine Learning Engineer enthusiast! Passionate about ML and implementing AI? You're a perfect fit for this fast growing start up in logistics. Based just outside of Houston, Texas be a part of the growing AI market. You will have the control in developing and deploying AI agents. Work closely with cross functional teams to ensure the implementation of frame works along with continuations monitoring and evaluation of system performances. Hybrid role - 2 days in office right outside
**REMOTE - Must be local to Orlando, FL | Bilingual (English/Spanish) preferred | AI/ML Experience is a must** Our Client's new AI Center of Excellence is building a lean, impact-driven team to weave best-in-class AI chatbots, adaptive-learning engines, analytics into every corner of our academic and administrative ecosystem. If you love turning cutting-edge SaaS platforms into secure, FERPA-compliant services that faculty, staff, and students actually use, we want to meet you. Qualifications: F
Position: Gen AI/ML resource with experience with either Agentforce (primarily) or Salesforce Einstein Location: Remote Duration: 12 Months Required Certifications/Education: Master s degree in computer science, Artificial Intelligence, Machine Learning, or a related field. (Equivalent practical experience may be considered) Relevant Certifications on AI, ML, GenAI and Agentic AI disciplines (at minimum 2-3 certifications are recommended) such as Agentic AI certifications/badges offered by leadi
Position: ML Ops Engineer (AWS GovCloud Databricks) Duration: 12+ months contract Location: Charlotte, NC (100% remote) JOB DESCRIPTION SKILLS NEEDED : Bachelor's degree in computer science, Engineering, Applied Mathematics or related field4 to 6 years of strong experience with AWS Gov Cloud environments, Export Control FedRAMP environmentsOverall 8 to 10 years of solid experience in the areas of data engineering, machine learning data science4 to 6 years of strong experience with the following
Contract- 12 Months We are seeking an experienced data scientist with expertise in AIOps and IT Operations to spearhead our Event Management Program. The ideal candidate will possess a deep understanding of data analytics, machine learning algorithms, and IT operations to help automate and optimize our event correlation and incident response systems. What Our AIOps Team Does: We integrate data from various monitoring platforms to achieve a comprehensive view of our IT environment.We harness the
Position: Machine Learning Engineer Location: 100% Remote (EST time zone) Duration: 12 Month Contract Only W2 Qualifications: 10+ years of IT experience and at least 5+ years working as a Machine Learning EngineerMust have strong programming skills in PythonExperience with both RDBMS and NoSQL databases (e.g., MongoDB, BigQuery)Hands-on experience with data preprocessing, feature engineering, and model evaluationExperience working with cloud platforms, especially Google Cloud Platform (Googl
Job Description Are you looking for an exciting opportunity to solve exciting business problems in the domain of Network infrastructure? You will be expected to apply your strong curiosity for data and your proven track record of successfully applying rigorous scientific methods with a proficiency in ML Engineering and DevOps capabilities. Enhance operational efficiency by solving problems and aligning with business goals. As an Vice President Machine Learning Engineer within our dynamic team,
Job Description The Corporate Technology Data Science and AI organization solves challenging business problems using data science and machine learning techniques across Corporate Technology and the supported Corporate Functions As a Data Scientist in this team, you will build effective, scalable, and modern analytical solutions for various banking domain problems and deploy them into production business workflows. This is an exciting opportunity to work alongside a world-class group of Data Sci
Job Description Research, design, and develop new machine learning solutions and algorithms for driverless technology company. Duties may include: Explore, prototype, validate, and iterate new algorithms and strategies. Drive efforts to optimize, supervise and refine on-road performance for models in production. Be considered one of the technical leaders of the department who guides current and future technology choices. Consider the business and operational impact for different technology trad
Job Description Develop and implement techniques or analytic applications to transform raw data into meaningful information for driverless technology company. Duties may include: Exploring, prototyping, validating, and iterating new algorithms. Driving efforts to optimize, supervise and refine on-road performance for models on the path to production. Act as a technical leaders within the department who guides current and future technology choices. Enable others engineers on the team to be more e
Job Description Research, design, develop and test robotic and machine learning applications for driverless technology company. Duties may include: Design and develop vehicle path planning algorithms. Research, implement, evaluate, and deploying deep-learning based methods for planning for autonomous vehicles. Design and develop complex, highly scalable, and latency optimized software. Improve and deliver reliable software through continuous integration, automated testing and code reviews. May t
We are seeking a skilled MLOps Engineer with hands-on experience in Google Cloud Platform (Google Cloud Platform) to design, build, and manage robust ML pipelines and model deployment frameworks. The ideal candidate will have a solid foundation in both machine learning operations and cloud-native tools, enabling seamless model integration, monitoring, and CI/CD workflows. Key Responsibilities: Design, develop, and manage ML pipelines using Google Cloud Platform tools (Vertex AI, Kubeflow, AI Pla
We are seeking a skilled MLOps Engineer with hands-on experience in Google Cloud Platform (Google Cloud Platform) to design, build, and manage robust ML pipelines and model deployment frameworks. The ideal candidate will have a solid foundation in both machine learning operations and cloud-native tools, enabling seamless model integration, monitoring, and CI/CD workflows. Key Responsibilities: Design, develop, and manage ML pipelines using Google Cloud Platform tools (Vertex AI, Kubeflow, AI Pla
Formed in 2011, Inadev is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation. POSITION DESCRIPTION: We are
Key Responsibilities Design and develop full-stack applications using React, Nest.js, Python, and FastAPI.Build and integrate RESTful APIs and third-party services.Develop and deploy machine learning models and generative AI applications.Work with SQL, NoSQL, and Graph databases (e.g., Neo4j).Implement CI/CD pipelines and DevOps best practices.Ensure compliance with HIPAA and data privacy standards (PII/PHI).Collaborate with cross-functional teams to deliver end-to-end solutions.Leverage LLMs an
Job Title: Machine Learning Engineer (GenAI / LLM) Remote Skills: Artificial Intelligence, Machine Learning Operations (ML Ops), Machine Learning (ML), LangChain, Python, Large Language Models (LLMs), Data Science, and Agentic frameworks About Us: iceDQ.ai is a product-based company in Stamford, CT. Our data reliability platform is utilized by the top Fortune 500 companies in banking, insurance and healthcare. If you are interested in building AI agents that are integrated into the product
Role: AI/ML Engineer Location: Remote (San Jose, CA) Experience: 8+ years. Job Description: The Opportunity We are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking models from concept to production and ensuring they are robust, scalable, and impactful. You'll work
The Opportunity We are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking models from concept to production and ensuring they are robust, scalable, and impactful. You'll work with a modern tech stack centered on Python, Google Cloud Platform, and the latest in LLM techno