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Data Science Advisor
AI/ML Engineer, you will be integral to deploying sophisticated General AI solutions, ensuring their operational efficiency and scalability. Engage in innovative projects thatmassive datasets to drive decision-making and operational efficiencies across global platforms.You will:
Build andoptimizedata pipelines to operationalize machine learning models at scale.
Work collaboratively with data scientists to refinealgorithms and models based on performance metrics like scale, latency, and throughput.
Develop APIs and SDKs to enable seamless interaction with deployed machine learning models.
Create,buildand deployDocker containers and orchestrate load balancing tooptimizeresource allocation.
Utilize vector databases for efficient data handling and retrieval.
Integration of Data Science Models/Deployments with external applications
Essential Requirements
Data Science Platforms like Domino Data Lab, Microsoft Azure,AWSand Google Cloud (working environmentknowledgeto build and deploy models)
Proficient in object-oriented programming languages like C#,Javaor Python.Significant software engineering experience with a focus on ML model production and scalability in low-latency environments.
Advanced understanding of Docker, Kubernetes, DevOps,MLOpslifecycle,data streaming, and parallelized workloads.
Knowledge of load balancing and vector databases.
Desirable Requirements
Proven ability to solve problems creatively and effectively.
CreativeProblem solvingapproach.
Extensive experience in machine learning, particularly in developing solutionsutilizingNeural Networks.
Profound knowledge in Big Data technologies and real-time analytics.
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