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ApTask
San Antonio, TX, United States
About Client: The Client is a leading global IT services and consulting company, providing a wide range of services to clients in various industries, including banking, financial services, retail, manufacturing, healthcare, and more. It is one of the largest employers in the IT industry and has a vast and diverse workforce. The company places a str
Job Source: ApTaskDeacon Recruiting
San Antonio, TX, United States
Employment Type: Direct Hire Category: Information Technology Job Number: 23365 Job Description Stability and longevity as one of San Antonio’s most highly regarded employers Commitment to the modernization and innovation of the enterprise landscape Culture-based organization that values professional development and growth Competitive
Job Source: Deacon RecruitingDunhill Professional Search
San Antonio
Azure Cloud Systems Engineer San Antonio, TX - Hybrid **US Citizenship Required We are looking for an experienced Cloud Engineer in the Azure environment. This is a hybrid role based out of San Antonio, TX with some flexible telework in the schedule! An Associate level CSP certification is required. Responsible for the deployment, provisioning, h
Job Source: Dunhill Professional SearchBroadleaf Results
San Antonio, TX, United States
Job Summary: The Cloud Engineer will be responsible for driving and executing infrastructure design engagement for on-prem and cloud architecture and engineering for CPS energy. This role serves as part of the infrastructure team as the subject matter expert for cloud technologies and platforms while collaborating with our engineering team to ident
Job Source: Broadleaf ResultsDunhill Professional Search
San Antonio, TX, United States
Azure Cloud Systems Engineer San Antonio, TX - Hybrid **US Citizenship Required We are looking for an experienced Cloud Engineer in the Azure environment. This is a hybrid role based out of San Antonio, TX with some flexible telework in the schedule! An Associate level CSP certification is required. Responsible for the deployment, provisioning, h
Job Source: Dunhill Professional SearchASM Research
San Antonio, TX, United States
Job Description Responsible for the deployment, provisioning, hardening, and optimization of cloud infrastructure and related cloud services. Utilizes scripting and infrastructure technologies for environment orchestration. Collaborates with cross functional teams for the deployment and ongoing support of cloud services to both internal stakeholde
Job Source: ASM ResearchASM Research, An Accenture Federal Services Company
San Antonio, TX, United States
Responsible for the deployment, provisioning, hardening, and optimization of cloud infrastructure and related cloud services. Utilizes scripting and infrastructure technologies for environment orchestration. Collaborates with cross functional teams for the deployment and ongoing support of cloud services to both internal stakeholders and clients.
Job Source: ASM Research, An Accenture Federal Services CompanyUnreal Gigs
San Antonio, TX, United States
About the Company: We are an innovative technology startup focused on developing cutting-edge solutions. Our mission is to harness the power of data and technology to solve complex problems. We are seeking a Full-Stack Engineer with a solid foundation in software development and an interest in machine learning and artificial intelligence. Require
Job Source: Unreal GigsSan Antonio, TX, United States
Position Summary
We are seeking a highly skilled and experienced Sr. Machine Learning Engineer 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.
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 development methodologies.
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 non-technical 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.
Why Join Us:
Join our cutting-edge Data Science & AI team and contribute to the future of AI/ML technology! In this role, you'll leverage Azure to drive innovation and operational excellence in our AI/ML initiatives.
Here's what you can expect:
Be at the forefront of AI/ML advancements, applying your skills to solve real-world problems.
Collaborate with a talented team of Data Scientists, ML Engineers, and cloud experts.
Work in a fast-paced environment that fosters continuous learning and growth.
Make a significant impact on the company's success through the power of AI/ML.
Education: Bachelors Degree
Additional client information:
Email Alert for Azure ML Engineer jobs in San Antonio, TX, United States
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