| AL ML Engineer -Austin, TX at Austin, Texas, USA |
| Email: [email protected] |
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Processing description: http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2128951&uid= From: Nitya, Nitya software solution [email protected] Reply to: [email protected] AL/ML Engineer (2 Positions) Austin, TX 6 Months Contract Key Responsibilities: Design and Develop AI/ML Models : Build, train, and optimize machine learning models, including Generative AI applications such as language models, image generation, or custom generative pipelines. Deploy and Monitor ML Pipelines : Implement end-to-end machine learning pipelines on cloud platforms (GCP or AWS), ensuring scalability, performance, and reliability. Collaborate on AI Solutions : Work closely with cross-functional teams, including product managers and data engineers, to design AI-driven solutions that address business challenges. Research and Innovation : Stay up-to-date with the latest trends and advancements in AI/ML and Generative AI, applying relevant innovations to projects. Optimize Cloud Resources : Utilize cloud-native services (e.g., AWS SageMaker, GCP AI Platform) to manage and deploy machine learning workflows effectively and cost-efficiently. Documentation : Maintain clear and detailed documentation of AI/ML models, pipelines, and processes. Required : Experience : 58 years of experience in AI/ML development, with at least 12 years of hands-on experience with Generative AI applications. Programming : Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or similar. Cloud Platforms : Working knowledge of GCP (e.g., Vertex AI, BigQuery) or AWS (e.g., SageMaker, Lambda). AI/ML Tools : Experience with model training, evaluation, and deployment tools such as MLFlow, Kubeflow, or equivalent. Data Handling : Solid understanding of data preprocessing, feature engineering, and model optimization techniques. Problem Solving : Strong analytical skills with the ability to solve complex problems using AI/ML solutions. Preferred : Knowledge of Large Language Models (LLMs) and fine-tuning techniques. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Experience in deploying APIs or microservices for AI solutions. Certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer). Keywords: artificial intelligence machine learning Alabama Texas AL ML Engineer -Austin, TX [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2128951&uid= |
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| 08:28 PM 30-Jan-25 |