Have Interview slots - Urgent Requirement - Machine Learning with Sagemaker - Raritan, NJ ( Onsite day 1)
Mohit Sandhu
Hi
Hope you are doing well!
My name is Mohit Sandhu and I am working with Alpha Silicon. We Are Headquartered in Santa Clara, CA serving customers nationwide in the United States. We have the following Job Openings..
Job Title: Machine Learning with Sagemaker
Location: Raritan, NJ ( Onsite day 1)
Duration: Long Term Contract
Job description
As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines. Contribute to building sophisticated analytics, machine learning platform and tools to enable both prediction and optimization of models. Extend existing ML Platform and frameworks for scaling model training & deployment. Partner closely with various business & engineering teams to drive the adoption, integration of model outputs. This role is a critical element to leveraging the power of Data Science in delivering Fidelity’s promise of crafting the best customer experiences in financial services.
The Expertise And Skills You Bring
- 8+ years of experience in implementing Big data solutions in data analytics space.
- 2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker.
- Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
- Experience in Object Oriented Programming (Java, Scala, Python), Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).
- Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
- Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.
- Strong knowledge of developing highly scalable distributed systems using Open-source technologies.
- Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
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