Senior MLOps Engineer: Lead Scalable AI Pipelines

SoftServe; Abu Dhabi; On-site; AED 200,000 - 320,000; Full time

Job summary

SoftServe is a global digital solutions company with a strong AI/DS Center of Excellence focused on Gen AI and scalable ML deployments. The role leads ML systems production and collaborates with data scientists, engineers, and product teams to deliver end-to-end AI solutions.

We seek a master’s-educated professional with 6+ years of experience, deep Python DS/ML expertise, and hands-on proficiency in Azure, Databricks, Kubeflow/MLflow, and Kubernetes to operationalize AI at scale.

Qualifications

• Master's degree in computer science or related field.
• 6+ years of relevant experience.
• Hands-on with Python and DS/ML stack.
• Expert in ML solutions, design patterns, and operationalization.
• Skilled with AI/ML and data engineering tools in any major cloud platform.
• Familiar with CI/CD/CT pipelines for ML.
• Well-versed in Kubeflow, MLflow, or similar.
• Containers and Kubernetes.
• Proficient in Azure cloud services (AI studio, AI search, Azure Data Factory, Azure Functions, Cosmos DB).
• Experience with Databricks platform.
• Healthcare data experience would be a plus.
• Strong requirements gathering and estimation.
• Experience with designing and building feature stores.
• Knowledgeable of Hadoop ecosystem and Apache Spark.
• Familiar with Airflow.
• Upper-intermediate English level.

Responsibilities

• Communicate use cases, requirements, and expectations with stakeholders.
• Guide engineering and data science teams through the ML systems production lifecycle.
• Collaborate with Data Science teams on model operationalization strategies.
• Work closely with product teams to deliver and operate ML systems.
• Implement end-to-end production pipelines for ML solutions.
• Support and continuously enhance ML software infrastructure, including CI/CD, data stores, cloud services, network configuration, security, and system monitoring.
• Set up scalable monitoring systems for data pipelines and ML models.
• Operationalize AI solutions by applying best practices in ML, MLOps, DevOps, and software engineering.
• Maintain synergy among data scientists, DevOps, and ML Engineers to build infrastructure, set up processes, and productize ML pipelines.
• Work as a consultant on different projects with a flexible schedule.

Skills

Python

ML/DS stack

MLOps

CI/CD/CT for ML

AI/ML tools in cloud

Requirements gathering

Feature stores design

English communication

Stakeholder communication

Technical leadership

Education

Master's degree in computer science or related field

Tools

Kubeflow

MLflow

Azure Data Factory

Cosmos DB

Databricks

Airflow

Kubernetes

Hadoop ecosystem

Apache Spark

Job description

SoftServe is a global digital solutions company with a strong AI/DS Center of Excellence focused on Gen AI and scalable ML deployments. The role leads ML systems production and collaborates with data scientists, engineers, and product teams to deliver end-to-end AI solutions.

We seek a master’s-educated professional with 6+ years of experience, deep Python DS/ML expertise, and hands-on proficiency in Azure, Databricks, Kubeflow/MLflow, and Kubernetes to operationalize AI at scale.