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HCL Technologies
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Job Source: FullStack Labs Inc.JobRialto
San 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 t
Job Source: JobRialtoSouthwest Research Institute
San Antonio, TX, United States
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Job Source: Southwest Research InstituteSan Antonio, TX, United States
Role : Azure Machine Learning Engineer
Location : San Antonio, TX (Hybrid)
Experience : 10 +years
W2 Contract
Jd
Required Skills
Lead experience needed, Azure, Azure MLOPs, Azure Synapse, Azure Analytics, Generative AI, NLPs (Natural Language Proccessing), LLMs (Large Langauge Models), Deep Learning, Python, TensorFlow OR PyTorch OR Sckit-Learn, ML algorithms, ML Pipelines
Additional Skills
RAG (Retrieval-Augmented Generation), PySpark, PowerShell, DataLake, DataBricks, DataFactory, Vector Databases, Predictive Modelling
Job Description
Azure Machine Learning Engineer
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.
Required Skills
Desired Skills and Experience
Masters 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.
Skills: azure,machine learning,cloud,algorithms,python
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Email Alert for Azure Machine Learning Engineer -W2 jobs in San Antonio, TX, United States
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