Azure Machine Learning Engineer -W2 - eTek IT Services, Inc.

Role : Azure Machine Learning Engineer

Location : San Antonio, TX (Hybrid)

Experience : 10 +years

W2 Contract

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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

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Engage in the ideation and prototyping of new solutions to meet emerging business requirements.

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Design, develop, and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.

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Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions.

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Collaborate with data architects, data engineers, and software developers to ensure effective data collection, processing, and storage.

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Perform exploratory data analysis to identify patterns, insights, and communicate findings.

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Optimize model performance, addressing issues such as overfitting, underfitting, and bias.

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Stay abreast of the latest in machine learning research, applying new methods to enhance model performance.

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Contribute to the creation and improvement of reusable machine learning libraries, tools, and frameworks.

Desired Skills and Experience

Required Skills:

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

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

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

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

Technical Proficiency:

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Proficiency in cloud platforms such as Azure Synapse Analytics, Azure Machine Learning, AWS, and Google Cloud Platform for deploying big data and ML solutions.

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Applied knowledge in specialized areas such as NLP, computer vision, reinforcement learning, and Generative AI, including Large Language Models.

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

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

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

Preferred Experiences:

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

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

Communication and Collaboration:

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

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

Continuous Learning:

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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:

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Be at the forefront of AI/ML advancements, applying your skills to solve real-world problems.

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Collaborate with a talented team of Data Scientists, ML Engineers, and cloud experts.

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Work in a fast-paced environment that fosters continuous learning and growth.

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Make a significant impact on the company's success through the power of AI/ML.