Machine Learning Ops Engineer
7 days ago
Job DescriptionWhy Lytx?:As our Cloud Operations Engineer - Machine Learning you will join our Applied Machine Learning Team who develops machine learning and computer vision algorithms to monitor and assess the state of drivers and their environments to identify risk and improve safety for our clients. You will contribute to all aspects of the development cycle to optimize workflows, dataset generation, model performance and code efficiency to help enhance and differentiate us as the leader in the Video Safety and Telematics industry. If this sounds like you, we encourage you to applyWhat You'll Do: Build and maintain cloud deployment of ML models and surrounding infrastructureContribute to infrastructure and process improvements for data collection, labeling, model development and deploymentDesign and implement R&D data engineering solutions for delivery of ML model value from device to cloud, including message payload design, data ingest and database architectureHelp prepare and automate builds for device model deploymentAssist on projects led by other team members via data processing, programming, monitoring of production applications, etc.Other duties as assigned.What You'll Need:Bachelor’s degree in Computer Science or equivalent experience1 to 4 years of experience with a Strong background in MLOps, Python, GNU/Linux CLIVersatile and adaptable engineer who can address evolving needs of team.Strong understanding of data engineering principles and architectureKnowledge of relational database modeling and integration. Experience with NoSQL is helpful.Ability to manage cloud resources and technologies within AWS, including Sagemaker, EC2 and S3Experience with software automation tools, e.g., Airflow, Ansible, Terraform, JenkinsExperience with automated unit testing and regression testing methodologiesFamiliar with Linux software build toolchains and patterns. (e.g., Make, gcc)Experience with source control and tracking (git)Strong teammate who enjoys working in a collaborative, fast-paced team-focused environment
-
Machine Learning Engineer
3 days ago
Bangalore Urban, Karnataka, India, IN Wissen Infotech Full timeJob Title: Machine Learning EngineerLocation: Bengaluru (Hybrid)Experience: 2-6 yearsAbout Wissen InfotechWissen Infotech has been a trusted leader in the IT Services industry for over 25 years, delivering high-quality solutions to a global clientele. Within Wissen, the AI Center of Excellence (AI-CoE) was conceptualized to drive cutting-edge research and...
-
Machine Learning Engineer
1 week ago
Bangalore Urban, Karnataka, India, IN Lytx, Inc. Full timeJob DescriptionWhy Lytx?:As our Machine Learning Engineer, you will join our Applied Machine Learning Team in India, who develops machine learning and computer vision algorithms to monitor and assess the state of drivers and their environments to identify risk and improve safety for our clients. You will contribute to all aspects of the DL/ML model...
-
Machine Learning Engineer
3 days ago
india, IN Adastra Full timeJob Description: Machine Learning Ops EngineerJob SummaryWe are seeking a highly experienced Principal MLOps Engineer with 5–10 years of industry experience to lead the design, deployment, and optimization of machine learning infrastructure. This role requires deep expertise in Kubernetes (K8s), cloud-native technologies, and scalable ML systems. The ideal...
-
Machine Learning Engineer
5 days ago
india, IN LoglineAI Full timeML Engineer (Studio Applications)Location: Remote (India) Level: Mid/Senior (5–10+ years)About the role The ML Engineer (Studio Applications) focuses on deploying and maintaining machine learning models that support LoglineAI’s production workflows. The role is primarily applied and production-focused rather than research-oriented. The engineer will...
-
Senior Machine Learning Engineer
1 week ago
, India, IN Tata Consultancy Services Full timeWe are hiring for Senior Machine Learning Engineer !!!!Role: - Senior Machine Learning EngineerExperience: - 8+ yearsLocation: - Bangalore Mandatory Skills: -Developer with hands on experience in ML AlgorithmsMLOPsTensorFlow, PyTorchAWS, PythonRequired technical Skill Set :- A Senior Machine Learning (ML) Engineer designs, builds, and deploys...
-
Staff Machine Learning Engineer
1 week ago
india, IN Ocrolus Full timeCome build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.Our AI-powered data and analytics platform is trusted at scale, processing nearly one million credit...
-
Senior Machine Learning Engineer
1 week ago
Gurugram, Haryana, India, IN Appnext Full timeAppnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext’s direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey.Appnext ‘Timeline’, a patented...
-
Machine Learning Intern
20 hours ago
india, IN Floe Health Part timeLocation: Remote (India)Duration: 8–12 weeksCompensation: Benefits listed belowFloe Health is an AI-driven healthcare technology company focused on fixing referral breakdowns and coordinating patient journeys across health systems. We work with leaders across major provider networks and are building a high-velocity product team to support upcoming...
-
Machine Learning Engineer
1 week ago
india, IN BayOne Solutions Full timeResponsibilities:Machine Learning Development & Implementation (40%)Design and implement end-to-end ML pipelines for recommendation systems, search ranking, and classification problemsBuild and optimize traditional ML models using techniques such as ensemble methods, SVMs, gradient boosting, and neural networksDevelop time series forecasting models and...
-
Machine Learning Engineer
1 week ago
india, IN Luxoft Full timeProject Description:We are seeking a skilled Machine Learning Engineer to develop and deploy Graph Neural Network (GNN) based surrogate models that approximate complex physics simulations for oil & gas pipeline and well networks. This is a hands-on role for someone who can build high-fidelity neural network models that replace computationally expensive...