AWS ML Engineer — MLOps, SageMaker, Spark Pro

EXL; New Jersey; Hybrid; USD 70,000 - 90,000; Full time

Job summary

EXL in New Jersey is seeking an experienced AWS Machine Learning Engineer to design, build, deploy, and support scalable ML solutions. You will work in a hybrid NJ role with exposure to SageMaker, Databricks ML, Spark, and model operationalization.

The role requires 6+ years in software/data/ML and 3+ years AWS ML experience, with strong MLOps deployment skills and collaboration with stakeholders. Competitive base compensation is offered.

Qualifications

• 6+ years of software engineering, data engineering, or machine learning experience.
• 3+ years of hands-on AWS ML engineering experience.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
• Strong experience in MLOps and production ML deployments.

Responsibilities

• Design, build, train, validate, and deploy machine learning models.
• Develop feature engineering pipelines and model training workflows.
• Implement MLOps practices including CI/CD, model monitoring, drift detection, and retraining.
• Build ML solutions using AWS SageMaker, Glue, EMR, S3, Lambda, ECS/EKS, Step Functions, and CloudWatch.
• Develop Databricks ML and Spark-based solutions using PySpark, MLflow, and Delta Lake.
• Collaborate with data scientists, architects, and business stakeholders.
• Mentor junior team members and contribute to ML strategy.

Skills

Machine Learning

MLOps

PySpark programming

Python programming

SQL

Data engineering

Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field

Tools

AWS SageMaker

AWS Glue

AWS EMR

AWS S3

AWS Lambda

ECS/EKS

Step Functions

CloudWatch

Databricks ML

Spark

MLflow

Delta Lake

Job description

EXL in New Jersey is seeking an experienced AWS Machine Learning Engineer to design, build, deploy, and support scalable ML solutions. You will work in a hybrid NJ role with exposure to SageMaker, Databricks ML, Spark, and model operationalization.

The role requires 6+ years in software/data/ML and 3+ years AWS ML experience, with strong MLOps deployment skills and collaboration with stakeholders. Competitive base compensation is offered.