| Sr AI- ML Data Engineer at Remote, Remote, USA |
| Email: [email protected] |
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From: John Richardson, Themesoft Inc [email protected] Reply to: [email protected] Job title: Sr AI/ML & Data Engineer Location: Minnetonka , MN (Hybrid) Responsibilities: Full ML Lifecycle Management: Oversee the entire machine learning lifecycle, from data collection and preparation to model development, deployment, and monitoring. Algorithm Development: Develop and optimize algorithms for various applications, including natural language processing (NLP) and recommendation systems. Production-Quality Code: Write and optimize code for production environments, ensuring robustness and reliability of ML services. Develop Predictive Models: Design and implement advanced analytics models to predict trends and outcomes. Data Analysis: Analyze large datasets to extract actionable insights and solve complex business problems. Project Management: Lead data science projects from conception to deployment, ensuring timely and effective delivery. Collaboration: Work closely with cross-functional teams to understand business needs and devise data-driven solutions. Mentorship: Mentor junior data scientists and provide guidance on best practices and methodologies. Data Quality: Ensure the integrity and quality of data used for analysis and modeling. Stay Updated: Keep up with the latest advancements in machine learning and related technologies to continuously improve model performance and functionality Requirements: 2+ years of experience in machine learning, data science, or a related field. Experience with state-of-the-art techniques and ML infrastructure is highly valued. Educational Background: Typically requires a Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degrees (Master's or PhD) are often preferred. Experience: 2+ years of experience in machine learning, data science, or a related field. Experience with state-of-the-art techniques and ML infrastructure is highly valued. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Strong understanding of ML frameworks and libraries like TensorFlow, PyTorch, or scikit-learn. Problem-Solving Skills: Ability to tackle complex challenges and develop innovative solutions. Collaboration: Work closely with data scientists, software engineers, and product teams to implement and scale ML solutions. Analytical Skills: Strong problem-solving abilities and the capability to interpret complex data. Communication: Excellent communication skills to present findings and insights to non-technical stakeholders. Regards, John Richardson, Technical Recruiter Themesoft Inc., [email protected] Keywords: artificial intelligence machine learning rlang Minnesota Sr AI- ML Data Engineer [email protected] |
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| 01:03 AM 12-Feb-25 |