AI Engineer / Machine Learning Engineer / Data Science Manager

The AI Engineer, Machine Learning Engineer, and Data Science Manager are responsible for developing and deploying AI and machine learning models, leading data science projects, and guiding teams toward delivering impactful AI solutions. The AI Engineer focuses on creating intelligent algorithms and systems, the Machine Learning Engineer implements machine learning models and pipelines, and the Data Science Manager oversees teams and projects to ensure data-driven decision-making. The ideal candidate has a strong background in AI, ML, and data science, with leadership skills and a strategic mindset to drive innovation.

• AI Engineer: Design, develop, and implement AI models and algorithms to solve complex problems.
• Machine Learning Engineer: Build and optimize machine learning pipelines, ensuring scalability and reliability of models in production.
• Data Science Manager: Lead and manage data science teams, setting project priorities, guiding model development, and ensuring successful project delivery.
• Work closely with stakeholders to define business problems and develop AI/ML solutions that address them.
• Collaborate with cross-functional teams, including engineering, product, and data teams, to implement AI and machine learning solutions.
• Design and build scalable systems that leverage big data to provide actionable insights.
• Evaluate and enhance the performance of machine learning models and algorithms.
• Lead the development of data science strategies, including data collection, analysis, and interpretation of results.
• Stay up-to-date with the latest developments in AI, machine learning, and data science to drive innovation.

• AI Engineer / Machine Learning Engineer: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• Data Science Manager: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field; MBA or equivalent is a plus.
• Proven experience in AI/ML engineering, data science, or machine learning model development.
• Strong programming skills in Python, R, Java, or C++, with experience in relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Expertise in machine learning algorithms, data processing, and statistical analysis.
• Leadership experience in managing and mentoring data science teams.
• Strong problem-solving skills with the ability to translate business requirements into data-driven solutions.
• Familiarity with cloud platforms (AWS, GCP, Azure) and big data tools (e.g., Hadoop, Spark).
• Excellent communication and collaboration skills to work with both technical and non-technical stakeholders.