Position Details

Type Full-Time

Experience senior

Exp. Years 7+ years

Education Bachelor's Degree or equivalent work experience

Category AI & Machine Learning

About this role

As a Senior Software Engineer in an MLOps and platform-focused role, you design, optimize, and operate platforms that support machine learning and data-driven applications at scale. You will automate deployment, monitoring, and lifecycle management while applying strong software engineering principles to build resilient platforms.

Key Responsibilities

Design, optimize, and operate software platforms for machine learning at scale
Automate deployment, monitoring, and lifecycle management for ML applications
Build and deploy ML models using Python (TensorFlow, PyTorch, or Scikit-learn)
Use SQL, Pandas, and Spark for data processing and productionizing ML solutions
Write and test software including unit tests and participate in architecture and design ceremonies

Technical Overview

The role focuses on productionizing ML workloads using Python (TensorFlow, PyTorch, or Scikit-learn), with strong SQL and data processing skills (Pandas, Spark). You will use MLOps tools like MLflow and Airflow and AWS services including S3, SageMaker, and Lambda to automate end-to-end deployment and operations.

Ideal Candidate

The ideal candidate is a senior software engineer with 7+ years of experience building and deploying machine learning models in production. They have strong Python experience with TensorFlow, PyTorch, or Scikit-learn, along with solid SQL, Pandas, and Spark. They are experienced with MLOps tooling like MLflow and Airflow and have AWS experience (S3, SageMaker, Lambda) to automate deployment, monitoring, and lifecycle management.

Must-Have Skills

Experience: 7+ yearsExperience building and deploying machine learning models using Python (TensorFlowPyTorchor Scikit-learn)Strong SQL and data processing skills (PandasSpark)Familiarity with MLOps tools (MLflowAirflowor similar)AWS services (S3SageMakerLambda)Experience with feature engineeringmodel evaluationand productionizing ML solutionsSolid understanding of data structures and scalable system designBachelor's Degree or equivalent work experience

Nice-to-Have Skills

Bachelor's - Engineering

Tools & Platforms

PythonTensorFlowPyTorchScikit-learnSQLPandasSparkMLflowAirflowAmazon Web Services (AWS)S3SageMakerLambda

Required Skills

MLOpsmachine learningPythonTensorFlowPyTorchScikit-learnSQLPandasSparkMLflowAirflowAWSS3SageMakerLambdafeature engineeringmodel evaluationproductionizing ML solutionscloud-native technologiesautomate deploymentmonitoringlifecycle managementsystem testingunit testssoftware system architectureservice designtechnical documentation

Hard Skills

Senior Software EngineerMLOpsplatform-focused roledesigningoptimizingand operating software platformsmachine learning model developmentPythonTensorFlowPyTorchScikit-learnSQLdata processing skillsPandasSparkfeature engineeringmodel evaluationproductionizing ML solutionsdata structuresscalable system designMLflowAirflowAWS servicesS3SageMakerLambdacloud-native technologiesautomate deploymentmonitoringlifecycle managementsystem testingunit teststechnical requirements documentationtechnical design documentationsoftware system architectureservice designcomponent level architecturessmall team of engineers leadershipcodes in multiple languages

Soft Skills

collaborates with Technical Leadsleads modulesdocuments technical requirementsworks with product team to refine product requirementsleads a small team of engineers (may)create effective component level architectures

Industry & Role

Industry Energy

Job Function Build and operate MLOps platforms for production machine learning and data-driven applications.

Role Subtype MLOps Engineer

Tech Domains Amazon Web Services, Python, AI & Machine Learning, DevOps & SRE

Keywords for Your Resume

Sr Software Development EngSenior Software EngineerMLOpsplatform-focused rolemachine learningPythonTensorFlowPyTorchScikit-learnSQLPandasSparkMLOps toolsMLflowAirflowAWSAmazon Web ServicesS3SageMakerLambdafeature engineeringmodel evaluationproductionizing ML solutionscloud-native technologiesautomate deploymentmonitoringlifecycle managementsoftware system architectureservice designunit testssystem testingAmazon Web Services (AWS)

Deal Breakers

Experience: 7+ years, Experience building and deploying machine learning models using Python (TensorFlow, PyTorch, or Scikit-learn), Strong SQL and data processing skills (Pandas, Spark), Familiarity with MLOps tools (MLflow, Airflow, or similar), AWS services experience (S3, SageMaker, Lambda)

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