Technology Specialist

Essential Qualifications and Education:

• 2-5 yrs in AI and ML development, with a proven track record of successful projects
• Bachelors or master s degree in computer science, Engineering, AI, Mathematics, or a related field
• Familiar with the content and application of standards, codes and guidelines as applicable. Knowledge of many basic design techniques and analysis methods.
• Deep understanding of data structures, algorithms, and statistical methods or front- end development
• Strong proficiency in programming languages such as Python, Java, or other relevant programming languages
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas)
• Experience with cloud platforms like Azure ML is preferred
• Published research or contributions to open-source projects in the AI/ML field is preferred
• Advanced knowledge of specialized areas like deep learning, natural language processing, or computer vision
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Familiar with the content and application of standards, codes and guidelines as applicable
• Knowledge of many basic design techniques and analysis methods

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Key Tasks and Responsibilities:

• Perform product development from idea to prototype and further deployment.
• Apply knowledge and skills to complete varied assignments.
• Prioritize and organize own work to meet deadlines.
• Focus on completing work within schedule and budget.
• Clearly communicate and explain information in straightforward engineering activities.
• Lead the development and implementation of complex machine learning models, ensuring they meet project requirements and performance metrics
• Oversee data preprocessing, cleansing, and management. Develop strategies for data acquisition and utilization to enhance model performance
• Optimize existing AI/ML models for better efficiency and accuracy. Implement advanced algorithms and techniques to improve system performance
• Work closely with various teams, including data scientists, domain engineers, and product managers, to integrate AI/ML solutions into products and services. Act as a liaison between technical and non-technical teams to facilitate effective communication
• Provide guidance and mentorship to junior team members. Lead project teams as required, ensuring timely delivery and quality of work
• Engage in ongoing research to stay ahead of the latest trends and developments in AI and ML. Propose and lead innovative projects or experiments
• Prepare comprehensive documentation and reports on AI/ML projects, including development processes, performance metrics, and deployment strategies
• Assist in the Integration of models into systems :
• Collaborate with software engineers and IT teams to seamlessly incorporate machine learning models into production environments.
• Design and develop APIs or interfaces for model integration, ensuring compatibility with existing systems
• Optimize model performance for real-time or batch processing as required by the application
• Develop automated workflows for model training, testing, and deployment to streamline the integration proce