Data Scientist/ ML Engineer @ Remote/NJ

[Prasad Rao]

Please send me your resume to saipr...@idexcel.com

Job Title: Data Scientist/ ML Engineer

Location: Remote/NJ

Duration: Long Term

The Platform ML engineer will be responsible for the end-to-end design, build, monitoring, and support of ML infra working closely with a remote ML team. The candidate needs to be self-driven and extremely hands on. This role will work closely with existing Platform engineering but focused on ML teams building out model recommenders and support their infrastructure and tooling. This role is not for writing models but supporting data scientists by building the right infrastructure for their needs on an existing platform. This is a great opportunity to have a focused engagement supporting new ML models being built to support cutting edge CRM practices at Client place

 

Summary of Essential Job Functions:

• Responsible for the design, deployment, configuration, and operations for a multi-node big data cluster and model deployment patterns for ML teams. This includes working with open source and/or commercial stacks to support the full SDLC. Resource will work to deploy, manage, and maintain development, test and production environments for the big data platform.
• Build and maintain large scale ML Infrastructure and ML pipelines. Contribute to machine learning platform and tools to enable both prediction and optimization of models using AWS stack (Sagemaker, Jupyter Notebooks, Airflow)
• Extend existing ML Platform and frameworks for scaling model training & deployment.
• AWS experience a must
• Sagemaker experience preferred but not a must if the candidate has good knowledge of fundamentals and can self-learn on the fly
• Partner closely with various remote business & engineering teams to drive the adoption, integration of model outputs.
• Data Science understanding from a platform perspective is important to this role -model management, supervised /unsupervised models and general evolving best practices in the ML space
• Develop scripts to automate and streamline operations and configurations in the infrastructure
• Use knowledge of enterprise security solutions like LDAP and Kerberos to maintain a secure environment
• Research performance issues; Optimize platform for performance
• Troubleshoot and resolve issues in all operational environments
• Forward thinking by continuously adopting new ideas and technologies to solve business problems

 

Basic Skills and Qualifications:

• 3-5 years of experience.
• Prior Experience supporting Data science /ML teams is preferred
• Experience working with ML Frameworks in a platform capacity (PyTorch/TensorFlow/Scikitlearn etc.) is preferred
• Good understanding of model deployment best practices and ability to demonstrate that understanding via prior work or projects
• Experience using Sagemaker or similar ML tools will be strongly preferred
• Experience in AWS EMR is preferred
• Experience in Hadoop SQL tools - Hive and Presto
• Any Scripting Knowledge - Shell, Perl, python
• Strong Experience in Linux OS
• Experience on AWS services/network - Instances, Security Groups, Bootstrap actions, S3 Buckets, VPC/Subnet
• Experience in providing on-call support.

Thanks & Regards,

Pradeep | I.T. Recruiter 

saipr...@idexcel.com

Idexcel Technologies. Herndon, VA 20170.

www.idexcel.com

Phone: 703-230-2671   l Fax: (703) 880-7584