TechnoGen
Machine Learning Engineer
TechnoGen, Washington, District of Columbia, us, 20022
Machine Learning Engineer
12+ months contract
Washington DC/ Vienna VA- Hybrid role
Pay rate: Market/Flexible
Client: Financial domain
Responsibility: • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. • Unlock insights by analysing large scale of complex numerical and textual data and identifying trends. • Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. • Research and evaluate emerging technologies. • Develop data science solutions based on tools and cloud computing infrastructure. • Perform other duties as assigned.
Qualifications: • Bachelor's degree in computer science, mathematics, physics, statistics, or related field. • Strong experience with applying expertise in model design, training, validation, and monitoring. • Excellent understanding of machine learning, statistical modelling, and algorithms as well as their benefits and drawbacks. • Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis. • Experience with cloud computing infrastructure. • Advanced SQL skills. • Experience with data visualization concepts and tools. • Ability to convey complex business problems to technical solutions. • Ability to work individually, and as part of a team. • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.
Desired: • Advanced degree in in computer science, mathematics, physics, statistics, or related field. • Experience with Natural Language Processing. • Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. • Experience and/or willing to learn techniques in Large Language Models (LLMs) and Generative AI. • A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. • Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of
specific domains knowledge and user cases. • Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy
models in production environments
Thanks and Regards
Rishitha Chiluka Talent Acquisition Specialist
Phone: 571-677-0024
Email: rishitha.c@technogeninc.com
Connect: Rishitha-LinkedIn
4229, Lafayette Center Drive, Suite #1880, Chantilly, VA - 20151
www.technogeninc.com
12+ months contract
Washington DC/ Vienna VA- Hybrid role
Pay rate: Market/Flexible
Client: Financial domain
Responsibility: • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. • Unlock insights by analysing large scale of complex numerical and textual data and identifying trends. • Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. • Research and evaluate emerging technologies. • Develop data science solutions based on tools and cloud computing infrastructure. • Perform other duties as assigned.
Qualifications: • Bachelor's degree in computer science, mathematics, physics, statistics, or related field. • Strong experience with applying expertise in model design, training, validation, and monitoring. • Excellent understanding of machine learning, statistical modelling, and algorithms as well as their benefits and drawbacks. • Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis. • Experience with cloud computing infrastructure. • Advanced SQL skills. • Experience with data visualization concepts and tools. • Ability to convey complex business problems to technical solutions. • Ability to work individually, and as part of a team. • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.
Desired: • Advanced degree in in computer science, mathematics, physics, statistics, or related field. • Experience with Natural Language Processing. • Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. • Experience and/or willing to learn techniques in Large Language Models (LLMs) and Generative AI. • A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. • Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of
specific domains knowledge and user cases. • Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy
models in production environments
Thanks and Regards
Rishitha Chiluka Talent Acquisition Specialist
Phone: 571-677-0024
Email: rishitha.c@technogeninc.com
Connect: Rishitha-LinkedIn
4229, Lafayette Center Drive, Suite #1880, Chantilly, VA - 20151
www.technogeninc.com