Dell Technologies · 3 days ago

Consultant, Machine Learning Engineer

Round Rock, TX

Full-time

Onsite

Senior Level

12+ years exp

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Data ManagementInformation and Communications Technology (ICT)

Culture & Values

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Responsibilities

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.

Qualification

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Data Science PlatformsObject-Oriented ProgrammingPythonSparkTensorFlowXGBoostSoftware EngineeringMachine LearningData MiningETLSQLOLAPTeradataHadoopDockerKubernetesCloud-Native ComputingDevOpsData StreamingParallelized WorkloadsLoad BalancingVector DatabasesC++RData EngineeringMessage QueueRabbitMQKafkaDatabasesPostgres

Required

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.

Preferred

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.