Sr. AI Engineer

YOUR TASKS AND RESPONSIBILITES

• AI Solution Development Lead the design and development of innovative machine learning models and algorithms in cross-functional teams to effectively address specific business challenges.
• Lead the implementation of scalable AI products, ensuring alignment with user requirements and strategic business objectives.
• Leverage state-of-the-art cloud technologies (e.g., AWS, Azure, Google Cloud) to optimize the industrialization of machine learning models and AI solutions for production deployment.
• Provide expert operational support and guidance for machine learning models and algorithms, ensuring their reliability and performance in production environments.
• Data Engineering Lead the architecture and design of robust, scalable data pipelines in collaboration with data engineers, cloud engineers, and data scientists, enhancing data access and processing capabilities.
• Lead data preprocessing, ingestion, and transformation activities across hybrid environments (both on-premises and cloud), ensuring adherence to best practices and organizational standards.
• Establish and promote advanced data quality assurance processes, including validation checks and proactive data drift detection mechanisms, to ensure data consistency and integrity.
• Data Science Mentor and guide team members in the model training process, focusing on industrialization through cloud technologies and achieving accuracy, reliability through experimentation and iterative improvements.
• Lead the evaluation and tuning of models, utilizing metrics and performance benchmarks to refine model parameters and enhance predictive capabilities.
• Integration and Deployment Lead the integration of AI models into existing software systems and workflows, ensuring seamless functionality and optimal user experience.
• Direct the deployment of AI solutions into production environments, implementing best practices for version control, architecture, monitoring, and ongoing maintenance.
• Collaboration and Communication Maintain comprehensive documentation of AI models, algorithms, solution architecture and processes to ensure transparency and facilitate knowledge sharing within the team.
• Engage proactively with team members and stakeholders to gather requirements, provide insights, and deliver effective AI solutions that align with project goals.
• Communicate complex AI concepts and project results effectively to both technical and non-technical stakeholders, fostering understanding, collaboration, and informed decision-making.
• Research and Innovation Stay abreast of emerging AI trends, technologies, and methodologies, actively contributing to the enhancement of team capabilities and innovation.
• Conduct research and experimentation to explore new AI techniques and approaches, providing strategic insights that can inform future projects and initiatives.

WHO YOU ARE

• Master’s or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field or Bachelor’s with minimum 5 years experience.
• Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
• Experience in developing and deploying machine learning models and AI systems.
• Proficiency in programming languages such as Python or R
• Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with natural language processing (NLP), computer vision, or other AI techniques.
• Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud)
• Strong analytical skills and the ability to work with complex datasets.
• Excellent problem-solving skills with a focus on developing innovative AI solutions.
• Excellent verbal and written communication skills.
• Ability to work collaboratively in a cross-functional team environment.
• Strong organizational skills and the ability to manage multiple AI projects simultaneously.