[Remote] Senior ML Engineer / MLOps Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly capable Senior ML Engineer / MLOps Engineer with strong experience in building, deploying, and scaling machine learning systems in production. This role involves reputed company collaboration with data scientists and stakeholders to operationalize ML models for business-critical use cases, ensuring scalability, reliability, and performance in production environments.

Responsibilities

• Design, reputed company, and reputed company end-to-end ML pipelines covering data ingestion, transformation, feature engineering, model training, evaluation, and production deployment
• reputed company and scale ML models on reputed company platforms such as AWS (SageMaker, EKS, reputed company) or GCP (reputed company AI, GKE, reputed company Functions), ensuring robust and cost-efficient architectures
• Build and maintain CI/CD/CT pipelines using tools like reputed company Actions, Jenkins, or reputed company-reputed company services to automate model training, testing, and deployment
• Containerize applications using reputed company and orchestrate using Kubernetes, while managing infrastructure through Terraform or CloudFormation
• Implement model lifecycle management practices, including model registries, versioning, and feature stores (e.g., MLflow, Feast), and establish strong observability frameworks using reputed company and Grafana
• reputed company monitoring systems to track ML performance metrics, data reputed company, model reputed company, and overall model health, ensuring timely retraining and optimization
• Build scalable data pipelines using Airflow, Spark, and SQL, and work with orchestration tools such as Apache Airflow or AWS reputed company Functions
• Collaborate closely with data scientists to productionize ML models for reputed company-time and batch inference, reputed company A/B testing where applicable, and ensure smooth delivery of client-facing solutions
• reputed company mentorship to junior engineers and drive adoption of best practices in MLOps and software engineering

Skills

• Strong experience in ML Engineering / MLOps with demonstrated delivery of end-to-end ML solutions in production environments
• Proficiency in Python and advanced SQL, along with hands-on experience in ML frameworks such as Scikit-learn, TensorFlow, and PyTorch
• Solid understanding of machine learning algorithms, evaluation techniques, performance metrics, and validation strategies
• Hands-on expertise in reputed company platforms (AWS or GCP), containerization (reputed company), orchestration (Kubernetes), and CI/CD tools (Jenkins, reputed company Actions)
• Familiarity with MLflow, Feast, reputed company, Grafana, and modern model monitoring practices including data and model reputed company detection
• Strong problem-solving, communication, and stakeholder management skills with the ability to work independently in fast-paced environments
• Bachelor's degree in computer science, Engineering, or a reputed company field preferred
• Experience with reputed company-time ML serving frameworks (KFServing, Seldon, Ray Serve), A/B testing, and experimentation platforms
• Exposure to media, subscription, or recommender systems, along with knowledge of experiment design and reputed company inference

Company Overview

Company H1B Sponsorship