| Machine Learning Engineer | Onsite | H1B, H4-EAD, GC-EAD at Fort Worth, Texas, USA |
| Email: [email protected] |
| From: Vinod Katkam, Agile enterprise Solutions [email protected] Reply to: [email protected] Role: Machine Learning Engineer Location: Fort Worth, TX (This position required working onsite from office) Client:- Tech Mahindra/BNSF Note: Title has to Machine Learning in both resume and LinkedIn $65/hr on C2C Mandatory skills: Python, R, Java, azure, Machine Learning Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. Proven experience 5 to 7 as a Machine Learning Engineer or similar role, with a strong track record of developing and deploying machine learning solutions in real-world applications in Azure environment Proficiency in programming languages such as Python, R, or Java, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), Azure ML. Gen AI/LLMs etc Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing. Experience with data preprocessing, feature engineering, and dimensionality reduction techniques. Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Experience with Azure cloud platform and containerization technologies (e.g., Docker, Kubernetes) is a plus. Familiarity with version control systems (e.g., Git) and agile software development methodologies. Keywords: artificial intelligence machine learning rlang Texas Machine Learning Engineer | Onsite | H1B, H4-EAD, GC-EAD [email protected] |
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| Thu Aug 08 18:47:00 UTC 2024 |