Dell Consultant Machine Learning Engineer 

United States, Texas, Round Rock 

49248464

What you’ll achieve

As a Senior Machine Learning Engineer, you will be integral to deploying sophisticated General AI solutions, ensuring their operational efficiency and scalability. Engage in innovative projects that leverage massive datasets to drive decision-making and operational efficiencies across global platforms.

You will:

• Architect and scale machine learning models for efficient deployment across various platforms.
• Build and optimize data pipelines to operationalize machine learning models at scale.
• Work collaboratively with data scientists to refine algorithms and models based on performance metrics like scale, latency, and throughput.
• Develop APIs and SDKs to enable seamless interaction with deployed machine learning models.
• Implement Docker containers and orchestrate load balancing to optimize resource allocation.
• Utilize vector databases for efficient data handling and retrieval.

Essential Requirements

• Mastery in data science platforms such as Domino Data Lab, Microsoft Azure, AWS, and Google Cloud for building and deploying models.
• Proficient in object-oriented programming languages like C# or Java, with solid experience in Python, Spark, TensorFlow, XGBoost.
• Significant software engineering experience with a focus on ML model production and scalability in low-latency environments.
• Expert in data mining, ETL, SQL OLAP, Teradata, and Hadoop.
• Advanced understanding of Docker, Kubernetes, cloud-native computing, DevOps, data streaming, and parallelized workloads as well as knowledge of load balancing and vector databases.

Desirable Requirements

• 12–15 years of professional experience in languages like C++, SQL, R, or Python with experience in Data engineering (Spark) , Message queue ( RabbitMQ, Kafka)
• Proficiency in databases ( Postgres, , Mongo Db, Redis, SQL server) and its optimization and extensive experience in machine learning, particularly in developing solutions utilizing Neural Networks.
• Profound knowledge in Big Data technologies and real-time analytics.