Azure Machine Learning Engineer
3 weeks ago
W2 Contract& JD : Required SkillsLead 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 PipelinesAdditional SkillsRAG (Retrieval-Augmented Generation), PySpark, PowerShell, DataLake, DataBricks, DataFactory, Vector Databases, Predictive ModellingJob DescriptionAzure& Machine& Learning Engineer Position SummaryWe 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 ExperienceRequired 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.
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