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Senior MLOps Engineer
HR POD - Hiring Talent GloballySenior MLOps Engineer designing and managing production-grade ML pipelines on Databricks. Collaborating with Data Scientists to operationalize models and ensure best practices.
Tech Stack
Tools & technologiesApacheAzureCloudDockerKafkaKubernetesPythonSparkTerraform
About the role
Key responsibilities & impact- Design, build, and maintain production-grade ML pipelines on Databricks.
- Operationalize ML models, including deployment, monitoring, and full lifecycle management.
- Build and maintain CI/CD pipelines for ML workflows.
- Develop and manage real-time and streaming data pipelines.
- Collaborate closely with Data Scientists to efficiently productionize models.
- Implement model versioning, experiment tracking, and ensure reproducibility.
- Define and enforce ML best practices, governance, and quality standards.
- Monitor model performance and data drift, and implement automated retraining strategies.
- Optimize performance, scalability, and cost of distributed workloads.
- Contribute to platform design for low-latency inference and scalable model serving.
Requirements
What you’ll need- Strong experience with Databricks (Workflows, MLflow, Delta Lake), Apache Spark (batch and streaming), and advanced Python (production-quality code).
- Hands-on experience with streaming and real-time data systems.
- Proven experience designing and implementing CI/CD pipelines.
- Strong understanding of the ML lifecycle (training, deployment, monitoring, and retraining) and building scalable, distributed data and ML pipelines.
- Experience with Snowflake, Kubernetes, and Docker.
- Experience with Terraform or other Infrastructure as Code (IaC) tools.
- Experience with feature stores (e.g., Snowflake Feature Store, Databricks Feature Store) and event-driven architectures (e.g., Kafka).
- Experience with model serving frameworks, low-latency API development, and LLM deployment/serving.
- Experience with monitoring and observability tools (e.g., ELK stack or similar).
- Familiarity with A/B testing and experimentation frameworks.
- Strong knowledge of RBAC, security, and governance in data/ML platforms.
- Experience with cloud environments (Azure preferred).
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account HR POD - Hiring Talent Globally Website LinkedIn All Job Openings 11 - 50 employees Founded 2023 👥 HR Tech 🎯 Recruiter 🤝 B2B HR Tech
- Recruitment
- B2B HR POD is a leading premium global recruitment agency dedicated to elevating human resource management services. With a focus on helping companies strategize and build robust HR frameworks, HR POD specializes in recruitment, training, and performance management. They pride themselves on serving a diverse client base, particularly in the tech industry, and adopt a data-driven approach to optimize HR practices that align with organizational goals. Their commitment to integrity, customer satisfaction, and excellence positions them as a reliable partner in enhancing talent acquisition and retention strategies for businesses worldwide. Senior MLOps Engineer Job not on LinkedIn 🔥 0 minutes ago 🇵🇰 Pakistan – Remote ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer Apache Azure Cloud Docker Kafka Kubernetes Python Spark Terraform Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design, build, and maintain production-grade ML pipelines on Databricks.
- Operationalize ML models, including deployment, monitoring, and full lifecycle management.
- Build and maintain CI/CD pipelines for ML workflows.
- Develop and manage real-time and streaming data pipelines.
- Collaborate closely with Data Scientists to efficiently productionize models.
- Implement model versioning, experiment tracking, and ensure reproducibility.
- Define and enforce ML best practices, governance, and quality standards.
- Monitor model performance and data drift, and implement automated retraining strategies.
- Optimize performance, scalability, and cost of distributed workloads.
- Contribute to platform design for low-latency inference and scalable model serving. 🎯 Requirements
- Strong experience with Databricks (Workflows, MLflow, Delta Lake), Apache Spark (batch and streaming), and advanced Python (production-quality code).
- Hands-on experience with streaming and real-time data systems.
- Proven experience designing and implementing CI/CD pipelines.
- Strong understanding of the ML lifecycle (training, deployment, monitoring, and retraining) and building scalable, distributed data and ML pipelines.
- Experience with Snowflake, Kubernetes, and Docker.
- Experience with Terraform or other Infrastructure as Code (IaC) tools.
- Experience with feature stores (e.g., Snowflake Feature Store, Databricks Feature Store) and event-driven architectures (e.g., Kafka).
- Experience with model serving frameworks, low-latency API development, and LLM deployment/serving.
- Experience with monitoring and observability tools (e.g., ELK stack or similar).
- Familiarity with A/B testing and experimentation frameworks.
- Strong knowledge of RBAC, security, and governance in data/ML platforms.
- Experience with cloud environments (Azure preferred). Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
ML pipelinesCI/CD pipelinesreal-time data systemsstreaming data pipelinesmodel versioningexperiment trackingdistributed workloadslow-latency inferencescalable model servingadvanced Python
Soft Skills
collaborationcommunicationproblem-solvinggovernancequality standards