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Looking for Sr AI ML and Data Engineer at Remote, Remote, USA
Email: [email protected]
From:

Almas Fathima,

OrbIT People LLC

[email protected]

Reply to:   [email protected]

Hello,

Please share suitable profiles as per the JD Below. 

Job title: Sr AI/ML & Data Engineer

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. |

Location: 
Minnetonka, 
MN.

(Onsite). |

Keywords: artificial intelligence machine learning rlang Minnesota
Looking for Sr AI ML and Data Engineer
[email protected]
[email protected]
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03:18 AM 13-Feb-25


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