Sr Machine Learning Programmer
Synechron, Plano, TX, United States
About Synechron :
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Consulting, Design, Cloud, Data, and Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Blockchain and Artificial Intelligence to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.
Synechron Inc is seeking Sr Machine Learning Programmer - financial services to join our Plano, TX (onsite 3 days a week is a must in Hybris ) long-term contract.
Only w2/full time
Required Qualifications :
• Over 8+ years of hands on working experience to develop the mission critical, large scale, high volume enterprise & distributed applications by using AI/ML and Java/J2EE.
• Experience in creating ML Pipeline for (Data collection, data processing, model creation, model training, model fine tuning, model deployment)
• Experience building Deep Neural Networks or Transformer Models with Pytorch / Tensor Flow
• Experience on Python programming
• Experience in training ML models – awareness of different model training techniques
• Experience in data prep – Understanding of the inputs and outputs for different types of models (DNN, CNN, Transformers, LLMs)
• Experience with GPU/TPU enabled model training.
• Experience with working in both Linux and Windows environments for Model training and deployment.
• Experience in training LLMs.
• Experience with Speech models
• Experience in developing REST API's using Spring.
• Experience in Cloud technologies
• Experience with development models such as Agile and SDLC
• Experience with Deploying ML models in a production env
• Experience Building ML models from scratch
• Experience with Implementing ML in Java
Primary Skill – Artificial Intelligence/Machine Learning
Secondary Skill – Java
Tertiary Skill – Python