AI/ML & Data Engineer
Apply NowCompany: Diverse Lynx LLC
Location: Minnetonka, MN 55345
Description:
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.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.