Our client, a Tier 1 Investment Bank, is looking for mid- and senior-level AI/MLOps Engineers to build the platform for front office quant and strat teams to develop, deploy, and productionize next-generation trading models. This is a greenfield role that aims to improve AI-driven trading performance and scale platform capabilities through creating bespoke GenAI tools. Applicants should have. 5-10 years in AWS data engineering & machine learning ...
Job Details. Title: MLOps Engineer. Location: Remote. Type: Contract. Job Duties. Exercise expertise in ideating and developing ML applications on prediction, recommendation, text analytics, computer vision, bots, and document intelligence. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Employ technical knowledge and hands-on experience with Azure ML Studio and Azure Kubernetes Service. Ex...
Job Details. Title: MLOps Engineer. Location: Remote. Type: Contract. Job Duties. Exercise expertise in ideating and developing ML applications on prediction, recommendation, text analytics, computer vision, bots, and document intelligence. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Employ technical knowledge and hands-on experience with Azure ML Studio and Azure Kubernetes Service. Ex...
Job Title: MLOps Engineer. Location: San Jose, CA. Years of Experience: 7 Years. Rate: $50/hr on W2 & $60/hr on C2C. Job Summary. We are seeking a skilled MLOps Engineer with a strong background in AI/ML engineering to join our dynamic team at Google Inc. The ideal candidate will have 5 to 7 years of experience in deploying and managing machine learning models in production environments. You will be responsible for building and maintaining MLOps ...
Job Title: MLOps Engineer. Location: San Jose, CA. Years of Experience: 7 Years. Rate: $50/hr on W2 & $60/hr on C2C. Job Summary. We are seeking a skilled MLOps Engineer with a strong background in AI/ML engineering to join our dynamic team at Google Inc. The ideal candidate will have 5 to 7 years of experience in deploying and managing machine learning models in production environments. You will be responsible for building and maintaining MLOps ...
Job Number: R0230635. MLOps Engineer. The Opportunity. Are you looking for an opportunity to make a difference and help build a system that will have a positive impact on public health. What if you could find a position that is tailor-made for your mix of development, engineering, and analytics skills. Efficient development teams make the most of their time by limiting the activities that take developers and data scientists away from writing thei...
Role : ML Ops Lead. Location : Erie, PA (Day 1 Complete Onsite). Duration : Long Term. Skills. 4 - 7 years of experience in DevOps, MLOps, platform engineering, or cloud infrastructure. Strong skills in containerization (Docker, Kubernetes), API hosting, and cloud-native services. Experience with vector DBs (e.g., FAISS, Pinecone, Weaviate) and model hosting stacks. Familiarity with logging frameworks, APM tools, tracing layers, and prompt/versio...
Dice is the leading career destination for tech experts at every stage of their careers. Our client, 4A IT Services LLC, is seeking the following. Apply via Dice today. Job Summary Information. Duration. 12 months. Location. Sunnyvale. Required Skills. Overview. We are seeking a skilled Machine Learning Engineer with strong MLOps capabilities to help design, build, and scale machine learning systems from development through production. This role ...
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cynet Systems, is seeking the following. Apply via Dice today. We are looking for. MLOps Engineer. for our client in. Alpharetta, GA / Berkeley Heights, NJ. Job Title: MLOps Engineer. Job Location: Alpharetta, GA / Berkeley Heights, NJ. Job Type: Contract. Job Description. Pay Range: $60hr - $65hr. Hands-on experience with End-to-end ML lifecycle ...
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Aziro Technologies LLC, is seeking the following. Apply via Dice today. Duration: 920 Hours. Location: Charlotte, NC or Jersey City, NJ (3 days a week onsite) -- Resource will choose which site. HYBRID Schedule. Must have skills: LLM and Kubernetes. Project Tasks. AI Operations Platform Consultant. Experience deploying, managing, operating, and tr...
