AI/ML Solution Engineer

Job Description:
Responsibilities:
Design and implement state-of-the-art AI/Client models to improve business functions.
Collaborate with different departments to understand business needs and pinpoint AI/Client application opportunities.
Stay updated with AI/Client advancements and industry trends.
Architect and develop scalable and efficient AI/Client systems.
Offer technical leadership and mentor junior team members.
Research and enforce best AI/Client practices to enhance system performance.
Uphold data governance and security protocols.
Document and present AI/Client strategies and findings to stakeholders.
Continuously enhance existing AI/Client solutions for better efficacy.
Excellent communication skills and teamwork capabilities.
Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous.
Bachelor's or master's degree in computer science, Engineering, or a related field.
A minimum of 5 years of experience in AI/Client engineering or architecture, with a proven track record in deploying AI/Client projects.
Expert knowledge of machine learning, deep learning, and statistical modeling.
Proficiency in Python, R, Java, or similar languages.
Experience with AI/Client tools and frameworks (e.g., TensorFlow, PyTorch).
Experience with Atlassian suite, including Jira and Confluence, for project management and documentation.
Strong analytical and problem-solving abilities.

Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
A minimum of 5 years of experience in AI/Client engineering or architecture, with a proven track record in deploying AI/Client projects.
Expert knowledge of machine learning, deep learning, and statistical modeling.
Proficiency in Python, R, Java, or similar languages.
Experience with AI/Client tools and frameworks (e.g., TensorFlow, PyTorch).
Experience with Atlassian suite, including Jira and Confluence, for project management and documentation.
Strong analytical and problem-solving abilities.