Data Science and AI Professional
24 hours ago
eTek IT Services, Inc. offers a competitive salary of $175,000 per year for this position in San Antonio, TX.
Job DescriptionThis role requires a highly skilled and experienced Sr. Machine Learning Engineer to join our dynamic Data Science and AI team. In this position, you will be instrumental in transforming data into actionable insights and innovative solutions, driving forward our business strategy. You will leverage advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges, collaborating closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms.
Key Responsibilities:- Engage in the ideation and prototyping of new solutions to meet emerging business requirements.
- Design, develop, and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
- Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions.
- Collaborate with data architects, data engineers, and software developers to ensure effective data collection, processing, and storage.
- Perform exploratory data analysis to identify patterns, insights, and communicate findings.
- Optimize model performance, addressing issues such as overfitting, underfitting, and bias.
- Stay abreast of the latest in machine learning research, applying new methods to enhance model performance.
- Contribute to the creation and improvement of reusable machine learning libraries, tools, and frameworks.
This position requires a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field, with 5+ years of relevant experience. The ideal candidate will have expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn). Strong problem-solving, critical thinking, and analytical capabilities are also essential.
Technical Proficiency:The successful candidate will possess technical proficiency in cloud platforms such as Azure Synapse Analytics, Azure Machine Learning, AWS, and Google Cloud Platform for deploying big data and ML solutions. Applied knowledge in specialized areas such as NLP, computer vision, reinforcement learning, and Generative AI, including Large Language Models, is also required.
Why Join Us?In this role, you'll leverage Azure to drive innovation and operational excellence in our AI/ML initiatives. You'll collaborate with a talented team of Data Scientists, ML Engineers, and cloud experts, working in a fast-paced environment that fosters continuous learning and growth. This is an excellent opportunity to make a significant impact on the company's success through the power of AI/ML.
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