MLOps Engineer
hace 2 días
About the job MLOps Engineer / AI Infrastructure Specialist OC-16B Locations available: All LatAm Oceans Code Experts is looking for talented individuals that are ready for the next step in their career, we offer a collaborative professional environment as full of rewarding experiences as it is of challenges. A MLOps Engineer / AI Infrastructure Specialist at Oceans can expect to work on multiple projects, work with a cross‑functional team, and be transparent about time and tasks to help clients understand the progress of their projects. Candidates must LOVE helping people, solving business problems, and pushing themselves to slay the next beast of a project. Job Summary We’re looking for a seasoned MLOps Engineer / AI Infrastructure Specialist to drive the deployment, scalability, and automation of AI/ML pipelines. If you're passionate about building robust machine learning infrastructure and working at the intersection of AI and DevOps, this is your opportunity to make an impact. Job Responsibilities Design, implement, and maintain scalable MLOps pipelines for model training, evaluation. Automate workflows using CI/CD tools such as GitLab, Jenkins, or GitHub Actions. Manage and optimize containerized environments using Docker and orchestrate deployments with Kubernetes. Collaborate with data scientists and engineers to streamline experimentation and operationalize ML models. Deploy, monitor, and manage models using cloud platforms like AWS SageMaker, Azure ML, or Vertex AI. Ensure infrastructure reliability and performance, including logging, versioning, and automated rollback. Maintain punctuality and consistency in remote work environments, particularly for meetings and team coordination. Job Requirements Great English proficiency (B2+ Written and spoken) 8+ years of experience as a MLOps Engineer / AI Infrastructure Specialist Impeccable punctuality (schedules are flexible but being in time for meetings is crucial) Proficient in Python and experienced in deploying ML models using TensorFlow and/or PyTorch. Deep hands‑on experience with containerization (Docker) and orchestration (Kubernetes). Strong background in implementing and maintaining CI/CD pipelines. Proven experience working with cloud‑based ML platforms like AWS SageMaker, Azure ML, or Vertex AI. Nice to have Experience with workflow orchestration tools like Kubeflow or Airflow, and data platforms like Databricks. Monitoring and infrastructure as code tools such as Prometheus, Grafana, and Terraform. Familiarity with data versioning tools like DVC or LakeFS. Position Type and Expected Hours of Work This is a full‑time consultancy, with up to 40 weekly hours during regular business times. We operate under a flexible core hours policy to accommodate various schedules, allowing consultants to perform during their peak productivity times. Additionally, we offer the flexibility to work remotely. #J-18808-Ljbffr
-
MLOps / ML Engineer
hace 1 semana
WorkFromHome, México Workana A tiempo completoDesde Workana estamos acompañando la búsqueda de un MLOps / Machine Learning Engineer Senior para una empresa fintech en plena expansión regional.El rol está orientado a perfiles con fuerte foco en operación, escalabilidad y gobernanza de modelos de Machine Learning en producción, trabajando en entornos críticos de negocio como riesgo, fraude y...
-
MLOps Engineer — Hybrid/Remote ML Pipelines
hace 5 días
WorkFromHome, México Xideral A tiempo completoA tech company in Guadalajara is seeking a skilled MLOps Engineer to build and maintain ML workflows. This hybrid role requires 5+ years of MLOps experience, proficiency in AWS, and advanced Python skills. The candidate will handle data science projects, deploy models, and work closely with internal teams. An understanding of CI/CD processes and container...
-
WorkFromHome, México Workana A tiempo completoUna firma de consultoría en tecnología está buscando un Ingeniero MLOps / Machine Learning Engineer Senior en Ciudad de México. Este rol es clave para la infraestructura de ML, enfocándose en la operación y escalabilidad de modelos en producción. Se requiere experiencia en Python, CI/CD, Docker y Kubernetes. Ofrecen un salario de hasta USD 3.500,...
-
Senior MLOps Engineer – AI Infra
hace 2 días
WorkFromHome, México Oceans Code Experts A tiempo completoA technology consulting firm is seeking a seasoned MLOps Engineer / AI Infrastructure Specialist to drive AI/ML deployment and scalability. The role involves collaborating with data scientists, managing MLOps pipelines, and leveraging cloud platforms like AWS SageMaker. This full-time position offers a flexible remote work policy, catering to various...
-
MLOps Engineer: Scale ML Pipelines in AWS
hace 7 días
WorkFromHome, México Xideral A tiempo completoA leading tech company is seeking an experienced MLOps Engineer to design, deploy, and maintain scalable ML solutions in a hybrid work environment. The ideal candidate will possess a strong background in MLOps and AWS, particularly with SageMaker. Responsibilities include building ML pipelines, defining APIs, and collaborating with cross-functional teams....
-
MLOps Engineer: Remote AI Deployment
hace 7 días
WorkFromHome, México Factored A tiempo completoA leading tech company in Ciudad de México is looking for an experienced MLOps Engineer to join their team. You will be involved in deploying machine learning models to production and optimizing workflows for efficiency. The ideal candidate should possess a degree in a relevant field and demonstrate expertise in programming and cloud platforms. This role...
-
Remote LATAM Data Engineer — MLOps
hace 7 días
WorkFromHome, México Medium A tiempo completoA leading telecommunications firm seeks a full-time Data/ML Engineer for a remote position. The ideal candidate will have over 8 years of experience in data engineering, with a minimum of 2 years focused on MLOps. Responsibilities include designing and maintaining scalable data pipelines and optimizing workflows for unstructured data. Strong communication...
-
MLOps Engineer
hace 7 días
WorkFromHome, México Factored A tiempo completoFounded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world‑class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world. At Factored, you’ll be part of a community that values...
-
Remote Senior GCP DevOps
hace 4 semanas
WorkFromHome, México DaCodes. A tiempo completoUna empresa de tecnología está buscando un/a Senior GCP DevOps Engineer especializado en MLOps y GenAI. Este rol, 100% remoto, implica diseñar y operar infraestructura en Google Cloud utilizando Terraform y Kubernetes. Los solicitantes deben tener experiencia en automatización y CI/CD. Se ofrece un entorno dinámico y multicultural con beneficios...
-
Senior GCP DevOps con Especialización en MLOps
hace 4 semanas
WorkFromHome, México DaCodes. A tiempo completoBase Pay Range MX$55,000.00/yr - MX$60,000.00/yr Senior GCP DevOps Engineer (MLOps & GenAI) Descripción General: Buscamos un/a Senior GCP DevOps Engineer con profundo dominio de infraestructura en Google Cloud, automatización, Kubernetes, Terraform y CI/CD; además de experiencia o especialización en MLOps y GenAI, para habilitar y operar plataformas de...
