MLOps Engineer Salary at Makinarocks Inc BETA

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets. Role: We are looking for a Databricks & MLOps Engineer with expertise in machine learning operations (MLOps), model lifecycle management, and cloud-based data platforms. The ideal candidate will have hands-on experience in Databricks, MLflow, CI/CD, and orchestration tools, and should be comfortable working in any cloud environment (Azure, AWS, or GCP). Key Responsibilities: Databrick

Job Title: Senior MLOps Engineer Location: San Francisco, CA (1 day/week in office) Salary: $180,000 –$220,000 + equity About the Role Our client is a fast-growing healthtech company is using generative AI to reimagine how healthcare handles its most complex operational challenges. With strong engineering leadership, a product that’s already making waves, and backing from top-tier investors, they’re building at scale and solving real problems that impact millions of patients and providers. As a Senior MLOps Engineer, you’ll play a key role in bridging the gap between machine learning and production infrastructure. Working with a collaborative, cross-functional team, you’ll help move models from experimentation to reliable, scalable deployment. From backend services to infrastructure and ML pipelines, you’ll design, build, and support high-performance systems powering real-world healthcare solutions. What You’ll Be Working On Developing scalable backend systems and APIs to support ML-po

Job Title: Senior MLOps Engineer Location: San Francisco, CA (1 day/week in office) Salary: $180,000 –$220,000 + equity About the Role Our client is a fast-growing healthtech company is using generative AI to reimagine how healthcare handles its most complex operational challenges. With strong engineering leadership, a product that’s already making waves, and backing from top-tier investors, they’re building at scale and solving real problems that impact millions of patients and providers. As a Senior MLOps Engineer, you’ll play a key role in bridging the gap between machine learning and production infrastructure. Working with a collaborative, cross-functional team, you’ll help move models from experimentation to reliable, scalable deployment. From backend services to infrastructure and ML pipelines, you’ll design, build, and support high-performance systems powering real-world healthcare solutions. What You’ll Be Working On Developing scalable backend systems and APIs to support ML-po

Senior MLOps Engineer – Real-Time AI & Video Applications (Hybrid) Office Location: San Jose (Hybrid) Job Type: Full-time We're hiring for an impressive AI company who are focussed on real-time AI and Video Applications. Their team is made up of leading experts in computer graphics and generative modeling, and they are on a rapid growth trajectory. We're looking for experienced MLOps Engineers that want to work on real-time AI applications that are shaping the future of media. The Role We’re looking for a talented MLOps Engineer to build and maintain robust machine learning pipelines and infrastructure. You’ll be working closely with AI researchers, data scientists, and software engineers to deploy state-of-the-art models into production, optimize real-time inference, and ensure systems scale effectively. What You’ll Do Design and optimize ML pipelines for training, validation, and inference Automate deployment of deep learning and generative models for real-time use Implement versioni

About the Company Algorized is a fast-growing deep-tech startup developing cutting-edge software for human positioning and sensing. By leveraging advanced algorithms, edge ML, radar, and sensor fusion, we enable precise people tracking, positioning, vital sign detection, and age classification. We are seeking an MLOps Engineer to design, build, and maintain scalable machine learning infrastructure for deploying models that process data from sensors, radar, and cameras. This role will be critical in ensuring high performance, real-time accuracy, and seamless ML model operations across on-premise and cloud environments. Key Responsibilities ML Infrastructure & Model Deployment ML Pipelines Development – Design, build, and maintain scalable ML pipelines to support sensor-agnostic (radar, camera) people-sensing model training, testing, deployment, and monitoring. ML Platform Implementation – Develop a scalable ML platform integrating ML pipelines and models, transforming raw sensor data in

Senior MLOps Engineer DeepRec.ai seeks a dedicated Machine Learning Engineer to join our client's innovative team. This is the chance to join a mission driven fast growing and well funded startup on a mission to to transform mental health and well-being with AI. This is the chance to work with a world-class ML team who work on cutting-edge AI research in generative modeling and large language models. Required Skills: 3+ years industry experience Experience scalable infrastructure for LLM-based agents and workflows. Hands-on experience implementing, deploying, evaluating, fine-tuning and hyperparameter- tuning deep learning models at scale Please apply for more details, we look forward to hearing from you and sharing more details on this opportunity!

Senior MLOps Engineer DeepRec.ai seeks a dedicated Machine Learning Engineer to join our client's innovative team. This is the chance to join a mission driven fast growing and well funded startup on a mission to to transform mental health and well-being with AI. This is the chance to work with a world-class ML team who work on cutting-edge AI research in generative modeling and large language models. Required Skills: 3+ years industry experience Experience scalable infrastructure for LLM-based agents and workflows. Hands-on experience implementing, deploying, evaluating, fine-tuning and hyperparameter- tuning deep learning models at scale Please apply for more details, we look forward to hearing from you and sharing more details on this opportunity!

Senior MLOps Engineer DeepRec.ai seeks a dedicated Machine Learning Engineer to join our client's innovative team. This is the chance to join a mission driven fast growing and well funded startup on a mission to to transform mental health and well-being with AI. This is the chance to work with a world-class ML team who work on cutting-edge AI research in generative modeling and large language models. Required Skills: 3+ years industry experience Experience scalable infrastructure for LLM-based agents and workflows. Hands-on experience implementing, deploying, evaluating, fine-tuning and hyperparameter- tuning deep learning models at scale Please apply for more details, we look forward to hearing from you and sharing more details on this opportunity!