Responsibilities
- Collaborate with clients to understand their needs and provide AI solutions.
- Design and implement data infrastructure to support AI initiatives.
- Develop and maintain AI models and algorithms.
- Ensure the security and integrity of data systems.
- Provide technical support and troubleshooting for AI-related issues.
- Create documentation for AI systems and processes.
- Conduct training sessions for clients on AI tools and best practices.
- Work with cross-functional teams to integrate AI solutions into existing systems.
- Monitor and optimize the performance of AI models.
- Stay updated with the latest advancements in AI technology.
- Participate in on-call rotations to ensure 24/7 support.
- Assist in the development of AI strategies and roadmaps.
- Implement data governance policies to ensure compliance.
- Conduct regular audits of AI systems to identify areas for improvement.
- Provide feedback to the development team for future enhancements.
- Collaborate with data scientists to refine AI models.
- Ensure that AI solutions align with business objectives.
- Develop and maintain data pipelines for AI applications.
- Conduct performance testing and optimization of AI systems.
- Provide technical leadership and mentorship to junior team members.
- Ensure that AI solutions are scalable and maintainable.
- Collaborate with stakeholders to define AI project scope and objectives.
- Develop and implement AI prototypes for client review.
- Conduct risk assessments for AI projects.
- Ensure that AI solutions comply with industry standards and regulations.
Nice to Have
- Master's degree in a relevant field.
- Certifications in AI or data science.
- Experience with AI in a specific industry.
- Knowledge of AI ethics and regulatory requirements.
- Experience with AI model interpretability.
- Familiarity with AI explainability techniques.
- Experience with AI fairness and accountability.
- Knowledge of AI governance frameworks.
- Experience with AI model validation and testing.
- Familiarity with AI model deployment pipelines.
Compensation
Competitive salary and benefits package.
Work Arrangement
Onsite with clients, with occasional remote work.
Team
Collaborative team environment with a focus on innovation and client satisfaction.
About the Role
- This role involves working onsite with clients to implement AI solutions and data infrastructure.
- The engineer will be responsible for designing, developing, and maintaining AI models and algorithms.
- The role requires strong technical skills and the ability to work independently and in a team environment.
- The engineer will collaborate with cross-functional teams to integrate AI solutions into existing systems.
- The role involves providing technical support and troubleshooting for AI-related issues.
- The engineer will conduct training sessions for clients on AI tools and best practices.
- The role requires staying updated with the latest advancements in AI technology.
- The engineer will participate in on-call rotations to ensure 24/7 support.
What You'll Do
- Collaborate with clients to understand their needs and provide AI solutions.
- Design and implement data infrastructure to support AI initiatives.
- Develop and maintain AI models and algorithms.
- Ensure the security and integrity of data systems.
- Provide technical support and troubleshooting for AI-related issues.
- Create documentation for AI systems and processes.
- Conduct training sessions for clients on AI tools and best practices.
- Work with cross-functional teams to integrate AI solutions into existing systems.
- Monitor and optimize the performance of AI models.
- Stay updated with the latest advancements in AI technology.
- Participate in on-call rotations to ensure 24/7 support.
What You'll Need
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience in AI and data infrastructure.
- Strong programming skills in Python, Java, or similar languages.
- Experience with AI frameworks such as TensorFlow or PyTorch.
- Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
- Experience with data management and governance.
- Strong problem-solving and analytical skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and in a team environment.
- Experience with machine learning algorithms and techniques.
- Knowledge of data security and privacy best practices.
- Experience with big data technologies like Hadoop or Spark.
- Ability to manage multiple projects and priorities.
- Experience with Agile methodologies.
- Strong attention to detail and organizational skills.
Nice to Have
- Master's degree in a relevant field.
- Certifications in AI or data science.
- Experience with AI in a specific industry.
- Knowledge of AI ethics and regulatory requirements.
- Experience with AI model interpretability.
- Familiarity with AI explainability techniques.
- Experience with AI fairness and accountability.
- Knowledge of AI governance frameworks.
- Experience with AI model validation and testing.
- Familiarity with AI model deployment pipelines.
Our Offer
- Competitive salary and benefits package.
- Onsite work with clients, with occasional remote work.
- Collaborative team environment with a focus on innovation and client satisfaction.
- Visa sponsorship available for eligible candidates.
Visa sponsorship available for eligible candidates.
