ML Engineer [77927] Job at Onward Search, North Arlington, NJ

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  • Onward Search
  • North Arlington, NJ

Job Description

ML Engineer

Responsibilities and Impact:

  • Lead the development and deployment of production-grade GenAI services and solutions.
  • Design and implement large-scale distributed systems, including infrastructure, data ingestion platforms, SQL/NoSQL databases, microservices, and orchestration services.
  • Drive MLOps/LLMOps platform development, focusing on automated pipelines for deploying, monitoring, and maintaining models in production while ensuring model governance, cost efficiency, and performance optimization.
  • Collaborate with cross-functional teams to seamlessly integrate machine learning models into production systems.
  • Develop and maintain comprehensive documentation, including best practices for development, MLOps/LLMOps processes, and operational procedures.
  • Partner with technology teams to support the design and implementation of an Enterprise AI platform.

Basic Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 8+ years of progressive experience in machine learning, data analytics, or related domains.
  • At least 5 years of hands-on experience with:
  • Writing scalable, production-level code in Python (or Scala).
  • MLOps/LLMOps, machine learning engineering, and big data technologies.
  • Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, and MLflow.
  • Containerization, Kubernetes, cloud platforms, CI/CD, and workflow orchestration tools.
  • Distributed systems programming, AI/ML architecture, and microservices development.

Preferred Qualifications:

  • 2–3 years of experience operationalizing data-driven pipelines for large-scale batch and streaming analytics solutions.
  • Contributions to open-source projects, research initiatives, or participation in Kaggle competitions.
  • 6–12 months of hands-on experience with RAG pipelines, prompt engineering, and/or Generative AI applications.
  • Experience working with SageMaker and/or Vertex AI.

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