Hello
Hope you are doing well,

This is Bheem from Tekvivid INC, I just wanted to check if you or someone you know may be interested in the following position.

Please go through the below requirement and please share me an updated resume at your earliest convenience, so that we may support your candidacy for the role. I sincerely appreciate you referring this requirement to anyone that you know who might be interested in case of your unavailability.

Job Title: Machine Learning Engineer(Strictly W2)
Location: Arlington, VA & Boston MA - Onsite
Duration: 12 Months+

Job Description Overview:
• Client is building next generation software, hardware, and processes that will run our global network of fulfilment centers that move millions of units of inventory, and ensure customers get what they want when promised.
• The Business Analytics and Decision Support (BADS) team automates the ingestion and curation of data for analyses, business reviews and operational reporting demands.
• Our north star is to enable and leverage the power of data to drive informed decision-making and value through analytical and scientifically derived insights and innovative solutions and processes. 
• As a Machine Learning Engineer within our BADS team, you will work closely with science teams to bring research to production.
• This is a role that combines engineering knowledge (around machine learning, natural language processing, computer vision), technical strength, and product focus. 
• It will be your job to implement novel ML systems, product integrations, and performance optimizations releases into production.
• While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability, security and availability).
Key job responsibilities 
• Own the development and operationalization of solutions deployed in production. 
• Work across multiple teams to integrate our solutions with products owned by our partners. 
• Design model experimentation processes and frameworks in synergy with our scientists. 
• Help the team grow and cultivate best practices in software development, MLOps, and experimentation. 
• Model training, data pre-processing 
Story Behind the Need – Business Group & Key Projects 
• BADS Team requires a MLE (Machine Learning Engineer) to complete productionalization of our ML models support operations efficiency gains. 
Work that will not get completed without this resource(s):
• BADS Team will not be able to scale nor productionalize our models and will remain within the research milestones. 
Typical Day in the Role 
• Own the development and operationalization of solutions deployed in production. 
• Work across multiple teams to integrate our solutions with products owned by our partners. 
• Design model experimentation processes and frameworks in synergy with our scientists. 
• Help the team grow and cultivate best practices in software development, MLOps, and experimentation. 
• Model training, data pre-processing, 
• Ongoing support of model and lifestyle. 
Compelling Story & Candidate Value Proposition 
• Industrial automation revolution and help with prediction and optimization for the warehouse distribution network and robotics. 
Candidate Requirements 
• Leadership principles: Insist on the highest standards, bias for action, deliver results. 
Top 3 must-have hard skills 
• 5 years minimum machine learning experience. 
• Bachelors in programming or similar (statistics, mathematical degrees on top of a tech degree would be a plus) 
• AWS development experience, Build within AWS products. 

Enchure Bheem
Sr US IT Recruiter
Phone: 972-597-0151 Ext: 477
Email ID: Website:
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