A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
Machine Learning Engineer Edurech Technoogy Santa Clara, CA Job Details Full-time $119,602.25 - $144,037.13 a year 2 hours ago Benefits Health insurance Dental insurance 401(k) Tuition reimbursement Paid time off Employee assistance program Vision insurance 401(k) matching Professional development assistance Flexible schedule Life insurance Qualifications AI models Pandas Software development Machine learning libraries Machine learning frameworks Full Job Description Job Summary We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data mining, and analytics, with experience in developing and deploying machine learning models. You will work closely with data scientists and software engineers to create innovative solutions that leverage AI technologies. This role requires proficiency in various programming languages and frameworks, as well as a solid understanding of big data technologies. Responsibilities Design, develop, and implement machine learning models and algorithms for various applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Conduct data mining and analysis to extract insights from large datasets. Utilize machine learning frameworks such as TensorFlow, Spark, and SAS for model training and deployment. Implement ETL processes for data preparation and integration from multiple sources. Optimize existing models for performance and scalability in production environments. Engage in continuous learning to stay updated with the latest advancements in AI and machine learning technologies. Document processes, methodologies, and findings to ensure knowledge sharing within the team. Experience Proficiency in programming languages such as Python, Java, C, and R. Hands-on experience with machine learning frameworks (e.g., TensorFlow, Spark) and tools (e.g., Hadoop). Familiarity with database design and SQL for data manipulation. Knowledge of unsupervised learning techniques and natural language processing (NLP). Experience with big data technologies such as AWS, Hadoop, or Talend is highly desirable. Understanding of linked data concepts and analytics tools like Looker. Familiarity with scripting languages such as Bash (Unix shell) or VBA is a plus. Background in quantum engineering or advanced analytics is an advantage. Join us to be part of an innovative environment where your skills will contribute to cutting-edge projects that shape the future of technology.
Job Type:
Full-time Pay:
$119,602.25 - $144,037.13 per year
Benefits:
401(k) 401(k) matching Dental insurance Employee assistance program Flexible schedule Health insurance Life insurance Paid time off Professional development assistance Tuition reimbursement Vision insurance Ability to
Commute:
Santa Clara, CA 95050 (Required) Ability to
Relocate:
Santa Clara, CA 95050: Relocate before starting work (Required)
