What are the responsibilities and job description for the Remote Senior AI Engineer position at Recruitlink?
Charlotte, North Carolina (Remote)
W2 for 6 months
Overview: The Senior AI Engineer plays a pivotal role in the development and implementation of artificial intelligence strategies within our organization. This position not only requires deep technical expertise but also a strategic mindset to leverage AI technology effectively. As the demand for AI solutions continues to grow, the Senior AI Engineer will be integral in building advanced systems that enhance the company's operational efficiency, improve customer experiences, and develop innovative products. This role involves close collaboration with cross-functional teams, including data scientists, software engineers, and product managers, to translate complex data-driven insights into actionable AI-driven solutions, ensuring that the organization remains at the forefront of AI advancements. The ideal candidate will demonstrate a passion for technology, continuous learning, and a commitment to driving impactful projects that align with business goals.
Key Responsibilities:
- Design and develop advanced machine learning models for various applications.
- Lead the deployment of AI solutions into production environments.
- Collaborate with data scientists and engineers to integrate AI capabilities into existing products.
- Conduct research on emerging AI technologies to maintain a competitive edge.
- Define and implement best practices for AI and machine learning.
- Optimize algorithms and models for performance and efficiency.
- Analyze complex datasets to extract actionable insights and features.
- Conduct experiments to validate the performance of AI models.
- Mentor junior engineers and promote a culture of continuous learning.
- Work closely with stakeholders to identify AI opportunities across business units.
- Participate in code reviews and design discussions to ensure high-quality output.
- Document processes and findings to enable knowledge sharing within the team.
- Develop and maintain AI model documentation and reporting frameworks.
- Stay updated with advancements in AI and machine learning domains.
- Identify and mitigate risks associated with AI model implementations.
Required Qualifications:
- Master's degree in Computer Science, Data Science, or a related field.
- A minimum of 5 years of experience in AI and machine learning employment.
- Strong programming skills in Python, R, or similar languages.
- Proficiency in AI frameworks like TensorFlow or PyTorch.
- Experience with data manipulation and analysis using tools like Pandas or NumPy.
- In-depth knowledge of machine learning algorithms and statistical methods.
- Familiarity with cloud services such as AWS, Azure, or Google Cloud.
- Proven experience in deploying AI models in production settings.
- Excellent problem-solving and analytical skills.
- Strong verbal and written communication skills.
- Experience with software development methodologies and version control systems.
- Ability to work independently and in a team environment.
- Track record of managing multiple projects and deadlines.
- Publications or contributions to AI journals or conferences are a plus.
- Willingness to continuously learn and adapt to new technologies.
Salary : $102,100 - $140,200
