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:      Data Scientist ML 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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