| Urgent requirement for ML Engineer with San Francisco, CA (Hybrid) at Francisco, Indiana, USA |
| Email: [email protected] |
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From: Praveen Kumar, Magicforce [email protected] Reply to: [email protected] Job Title: ML Engineer Location: San Fransisco, CA (Hybrid) / Locals Only Duration: Long Term Job Description: Lead AI/ML Operations: Oversee the implementation and maintenance of AI/ML systems, collaborating with product managers, architects, data scientists, and business teams to develop scalable, efficient machine learning pipelines. Innovate and Optimize: Architect and enhance end-to-end ML systems, focusing on both batch and real-time algorithm solutions, and ensure robust monitoring, logging, and performance testing. Drive Business Value: Identify new opportunities to leverage AI/ML for optimizing business processes and improving consumer experiences, with a hands-on approach to prototype and implement solutions. Mentorship and Leadership: Mentor and guide junior team members in best practices for machine learning and software engineering, fostering a culture of continuous learning and collaboration. Qualifications : Educational Background: Advanced degree in Engineering, Computer Science, Mathematics, or a related field. Professional Experience: 10-15 years in software engineering with a strong focus on AI/ML (5+ years). Experience in developing and deploying machine learning systems in production is essential. Technical Proficiency: Expertise in Python, Scala, Java, Hadoop, Spark, Kafka, and cloud platforms like Azure or AWS. Familiarity with deep learning frameworks (TensorFlow, PyTorch, Keras) and ML platforms (Dataiku, MLFlow). Cloud and Big Data: Extensive experience in cloud computing (Azure/AWS), data pipeline management, and deploying real-time ML systems. Keywords: artificial intelligence machine learning California Urgent requirement for ML Engineer with San Francisco, CA (Hybrid) [email protected] |
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| 08:48 PM 03-Feb-25 |