AI Engineer Level 2 Job Opportunity at Ideagen

Welcome to Ideagen, the invisible force behind many aspects of our daily lives. From ensuring airplane safety to guaranteeing food security and aiding healthcare professionals, Ideagen is your silent teammate working behind the scenes to make life safer and better.

Each day, millions of people around the world rely on Ideagen software for their safety. We have global offices in America, Australia, Malaysia, and India, where our diverse teams undertake various exciting roles.

At Ideagen, our commitment is to recruit talented individuals from diverse backgrounds to foster an inclusive environment. We empower our colleagues to maximize their potential and express their unique characteristics, experiences, and knowledge to achieve their ambitions.

Responsibilities

As an AI Engineer Level 2, you will:

• Design, develop, and implement machine learning models and algorithms to tackle complex business problems.
• Collaborate with product owners and domain experts to understand business challenges and devise suitable machine learning solutions.
• Analyze and preprocess large datasets to extract meaningful features and insights.
• Train, fine-tune, and validate machine learning models using techniques such as deep learning, reinforcement learning, or statistical modeling.
• Optimize machine learning models and work with MLOps/DevOps Engineers to deploy them into production systems.
• Monitor, evaluate, and improve model performance; implement model maintenance strategies.
• Work closely with Head of Departments, Team Leaders, and Software Engineers to build well-architected, cloud-hosted, and on-premises enterprise solutions.
• Collaborate with Product Managers, Technical Product Owners, Test Engineers, and DevOps Engineers to ensure high-standard feature delivery.
• Work with the Product Design Team to create optimal user experiences.
• Navigate the machine learning lifecycle, delivering solutions according to a published roadmap within planned release cycles.
• Contribute to defining and developing a Sprint backlog to meet Product team goals.
• Diagnose, troubleshoot, and fix software defects.
• Influence the Development Team’s practices and technology decisions.
• Create necessary documentation for work produced.
• Stay current with advancements in machine learning and relevant tools/frameworks to adopt best practices.
• Perform tasks with limited supervision, requiring substantial use of independent judgment.

Skills and Experience

We are seeking candidates with the following qualifications:

• At least 3 years of experience in an AI role.
• Proven track record as an AI Engineer or similar role, including developing and deploying machine learning models in real-world applications.
• Strong programming skills in Python, R, or related languages with experience in libraries like TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of machine learning algorithms, deep learning architectures, and statistical modeling techniques.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based machine learning model deployment. Experience with Jupyter Notebooks and AWS SageMaker is preferred.
• Strong understanding of ML Orchestration is advantageous.
• Proven ability to deliver technical features within an enterprise application.
• Experience with Source Control, preferably Git.
• Strong verbal and written communication skills in English.
• Understanding of Agile software development methodologies/frameworks such as Scrum.
• Experience in database development.
• Basic understanding of CI/CD tools, specifically Jenkins, SonarQube, Docker, JFrog.
• Experience in microservices architecture embraced in cloud-native applications.
• Ability to work in a fast-paced, dynamic environment handling multiple projects simultaneously.

Behavioral Attributes

• Ambitious - Drive, Planning & Execution
• Adventurous - Flexibility & Resilience and Savvy Thinking
• Community - Collaboration & Communication

Join Ideagen and be part of a team that makes a significant impact on global safety and well-being. Apply now to be our next AI Engineer Level 2 and contribute