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Senior Data & ML Engineer

Job ID: 24-04311
Pay rate range - $111/hr. to $115/hr. on W2
Hybrid role 

Job Description: 
the team is looking for a Senior Data & ML Engineer who is curious, driven, and passionate about big data technologies, MLOps, and building a project from scratch.
This role will require participating in full-cycle big data management, processing, infrastructure, and ML system design to build mission-critical, high-volume ML/AI applications to optimize the delivery of relevant and advertising experiences to customers.
As a Senior Engineer, you will operate as a mix of hands-on builder and influencer.
You will work closely with engineers and scientists contributing to the ongoing development and evolution of the underlying machine learning systems and data infrastructures.
 
Key job responsibilities
  • Pairing with product teams, software engineers, data engineers, and scientists to design and develop highly scalable and robust data and ML platforms to serve analytics and production AI/ML models for optimizing advertising reach, frequency, and return on advertising spend.
  • Build scalable and reliable data pipelines that efficiently ingest and process large volumes of data from disparate sources and formats and continuously integrate with internal and external systems.
  • Design and build large-scale data repositories as a knowledge base for GenAI applications.
 
Basic qualifications
• 5+ years of experience as an ML Engineer, Data Engineer, Software Engineer, or in a similar role.
• Familiarity with the full life cycle of software development, from design and implementation to testing and deployment.
• Experience with distributed systems and distributed parallel computing frameworks (e.g., Apache Spark, Apache Ray, Dask, etc.)
• Experience with scaling ML workloads, MLOps, and designing ML systems.
• Experience with data modeling, data warehousing, and designing ETL workflows.
• Proficiency in SQL.
• Proficiency in at least one software programming language of Python, Java, and Scala.
• Experience working with cloud services (AWS, Azure, GCP, etc.)
 
Preferred Qualifications
• Experience working with AWS ecosystem, and development with AWS CDK.
• Knowledge of Data Privacy, Security, Risk, and Compliance best practices.
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing.
• Experience with LLM fine-tuning, developing, evaluating, and deploying LLM for real-world applications
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