MLOps Engineer

Role: Senior MLOps Engineer

Location: Dallas TX/Irvine TX/Richardson TX/Rhode Island/Chicago IL

Job Type: Contract

Remote/Onsite: Onsite

• Collaborating with crossfunctional teams to understand business requirements and translate them into scalable machine learning solutions.
• Developing and deploying machine learning pipelines using Vertex AI and Kubeflow for data processing feature engineering model training evaluation at scale in production on GCP ensuring data quality integrity and security.
• Implementing realtime data processing and streaming pipelines using Google Pub/Sub and Dataflow.
• Conducting performance tuning and optimization of machine learning algorithms and infrastructure for efficiency and scalability.
• Collaborating with DevOps and IT teams to ensure smooth integration and operation of machine learning solutions within the existing infrastructure.

• Proficiency in Python programming and experience with machine learning libraries such as TensorFlow scikitlearn Keras etc.
• Understanding of machine learning algorithms deep learning techniques and model evaluation metrics.
• Familiarity with software development best practices version control systems (e.g. Git) and agile methodologies.
• Excellent problemsolving skills and ability to work effectively in a fastpaced environment with tight deadlines.
• Strong communication and collaboration skills with the ability to work closely with crossfunctional teams.
• Knowledge of containerization technologies such as Docker and container orchestration platforms like Kubernetes.
• Familiarity with continuous integration/continuous deployment (CI/CD) pipelines for machine learning applications.
• Understanding of data privacy and security standards including GDPR HIPAA etc.

Best Regards

Abhay Pratap Singh

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