Senior ML Engineer

4 weeks ago

San Antonio, United States JobRialto Full time
Position Summary

We are seeking a highly skilled and experienced Sr. Machine Learning Engineer / Data Scientist to join our dynamic Data Science and AI team. In this role, 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.

Desired Skills and Experience

Required Skills:

Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field, with 5+ years of relevant experience.

Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn).

Deep understanding of ML algorithms (supervised, unsupervised learning, and deep learning) and their applications.

Strong problem-solving, critical thinking, and analytical capabilities.

Technical Proficiency:

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.

Job Requisition Details

Information Technology 2 April 4, 2024

Experience with both relational and non-relational databases, time-series data, graph databases, and knowledge representation techniques.

Experience or familiarity with data network visualization techniques to analyze complex data relationships and patterns.

Fluency in advanced analytics tools, demonstrating a robust ability to perform complex quantitative analysis.

Preferred Experiences:

Demonstrated ability in data cleansing, preparation, featurization, and employing Agile developmentmethodologies.

A track record of innovation and collaboration in developing data-driven solutions and insights.

Communication and Collaboration:

Excellent verbal and written communication skills, with the ability to convey complex technical concepts to nonu0002technical stakeholders clearly and effectively.

A strong team player mindset, capable of working collaboratively within diverse teams and contributing to an inclusive work environment.

Continuous Learning:

A pronounced passion for continuous learning and staying ahead of the curve in AI and ML fields, with enthusiasm for applying new technologies to solve real-world problems

Education: Bachelors Degree

Additional client information:

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