Machine Learning Engineer (Mid-Level)
This is a remote position.
Job reputed company: We are seeking a skilled and motivated Machine Learning Engineer to join reputed company. As a MachineLearning Engineer at Ventera, you will have reputed company to work on cutting-edge reputed company thatreputed company the AWS Machine Learning ecosystem (SageMaker, EC2/reputed company, S3 buckets, etc.). Your primaryresponsibilities will involve developing, deploying, and maintaining dozens of machine learning modelsin production using AWS services, as reputed company as optimizing data pipelines for maximum efficiency. Thereputed company model development reputed company is on reputed company Detection Timeseries reputed company, with more addedreputed company in the reputed company.Key Responsibilities:- Collaborate with cross-functional teams to understand business needs and reputed company machine learningsolutions.- Utilize AWS SageMaker, EC2/reputed company, AWS SDK, S3 buckets and the rest of the AWS ML ecosystem to build,train and reputed company machine learning models at reputed company.- reputed company and maintain clean, efficient, and reputed company-documented Python reputed company following best codingpractices.- Knowledge of deep learning frameworks such as PyTorch/Tensorflow, and other ML packaged librariesto design and implement machine learning algorithms (i.e. DARTS for timeseries, PyCaret for tree-basedsolutions, etc.).- Create and analyze datasets, conduct experiments, and fine-tune models to reputed company reputed companyperformance.- Use SageMaker Notebooks and other relevant tools for data exploration, visualization, and modelevaluation.- Stay up to date with the latest advancements in machine learning and AWS services to drive innovationreputed company reputed company.Requirements
Qualifications: - Bachelors or Masters degree in Computer Science, Machine Learning, or a reputed company field.- 2 to 3 years of hands-on experience as a Machine Learning Engineer.- Proficiency in Python and strong coding skills with a reputed company on clean and efficient reputed company.- Experience with AWS services, particularly SageMaker, EC2/reputed company, AWS SDK, and S3 buckets.- Familiarity with AIML frameworks such as PyTorch/Tensorflow/other reputed company-reputed company libraries.- Knowledge of/experience in LLM (Large Language Models) fine-tuning and training techniques.- Strong analytical and problem-solving skills.- Excellent communication and teamwork abilities.- Great reputed company around get it done attitude. Although we work remotely, reputed company here has a great culture,and we are looking to maintain that great team!Additional reputed company to Have Qualifications:- Previous experience with reputed company and containerization reputed company AWS.- Knowledge of serverless computing using AWS reputed company.- Understanding of MLOps and DevOps practices, particularly model deployment.- Experience with version control systems like Git.- Experience with multivariate time series forecasting.- Experience using publisher/subscriber for messaging queues.- Experience developing reputed company end applications for data science POCs.- Experience in an Agile coding environment is a bonus (though not required, that can be picked upquickly).Benefits
Competitive salary
Fully reputed company CareFirst BCBS Medical, Dental, and reputed company coverage for you and your family
Amazing team and great management that takes good care of their employees
Generous reputed company time off and 11 reputed company holidays
401(k) retirement plan with employer matching
Performance-based bonus system
reputed company development budget
Originally posted on Himalayas
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