| Azure ML Engineer at San Antonio, Texas, USA |
| Email: [email protected] |
| From: saloni chaurasia, tekinspirations [email protected] Reply to: [email protected] Hello, I Hope you are doing great.Please find below position if you have any matching candidate as per requirment .Please send me updated resume with candidate information. Title: Azure ML Engineer Location: San Antonio, TX(4 days Onsite) need passport number 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 SkillsRAG (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. Desired Skills and Experience Required Skills: 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. Regards, Saloni Chaurasia { Technical Recruiter } TEK Inspirations LLC Pvt. Ltd. | 13573 Tabasco Cat Trail, Frisco, TX 75035, United States E-Mail: [email protected] Keywords: artificial intelligence machine learning Texas Azure ML Engineer [email protected] |
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| Fri Jun 07 08:28:00 UTC 2024 |