AI & ML Engineer

1 week ago

bangalore, India Dell International Services India Pvt Ltd (7451) Full time

Data Science Advisor

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as a AI ML Engineer on our Data Science Team in (Bangalore/ Gurgaon).


What you’ll achieve
 

As a AI/ML 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:

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.

Create,build and deploy Docker containers and orchestrate load balancing to optimize resource allocation.

Utilize vector databases for efficient data handling and retrieval.

Integration of Data Science Models/Deployments with external applications 


Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements

Data Science Platforms like Domino Data Lab, Microsoft Azure, AWS and Google Cloud (working environment knowledge to build and deploy models)

Proficient in object-oriented programming languages like C#, Java or Python.Significant software engineering experience with a focus on ML model production and scalability in low-latency environments.

Advanced understanding of Docker, Kubernetes, DevOps, MLOps lifecycle, data streaming, and parallelized workloads.

Knowledge of load balancing and vector databases.


Desirable Requirements

Proven ability to solve problems creatively and effectively.

Creative Problem solving approach.

Extensive experience in machine learning, particularly in developing solutions utilizing Neural Networks.

Profound knowledge in Big Data technologies and real-time analytics.

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