Senior AI Manager

Job Description

Key Responsibilities

• Design, develop, and implement AI/ML models for real-world applications.
• Collaborate with data scientists, engineers, and business stakeholders to define project requirements.
• Build scalable machine learning pipelines for data preprocessing, training, and deployment.
• Optimize models for performance, accuracy, and efficiency.
• Integrate AI solutions into existing systems and applications.
• Research and evaluate new AI technologies and frameworks to drive innovation.
• Monitor deployed models to ensure performance and retrain as necessary.
  
  

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• Strong programming skills in Python, Java, or C++.
• Experience with ML/AI frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML deployment.
• Knowledge of NLP, computer vision, or deep learning architectures is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
  
  

• Experience with big data technologies (Spark, Hadoop).
• Understanding of MLOps practices (CI/CD, model monitoring, versioning).
• Exposure to GenAI, LLMs, or prompt engineering.
  
  

• Opportunity to work on impactful AI projects transforming [industry/domain].
• Collaborative and innovative work culture.
• Access to cutting-edge tools and technologies.
• Career growth and professional development opportunities.
  
  

• Manage and mentor a team of skilled AI engineers, fostering an environment of collaboration and innovation.
• Architect and develop cutting-edge AI solutions, balancing technical prowess with business needs.
• Direct the implementation and integration of AI algorithms and models into our products.
• Conduct code reviews and provide insightful feedback for continuous improvement.
• Stay abreast of emerging AI trends, evaluating their potential application within the company.
• Collaborate cross-functionally to align AI projects with overall business objectives.
  
  

• Masters degree or higher in Computer Science, Artificial Intelligence, or a related field.
• Extensive experience in machine learning and AI engineering, with a proven track record of successful project execution.
• Strong leadership skills and the ability to manage and motivate diverse teams.
• Proficiency in programming languages essential for AI development, such as Python, and ML frameworks.
• Experience with cloud computing platforms and AI infrastructure scaling.
• Knowledge of AI ethics and best practices ensures responsible and ethical deployments.
• Excellent communication skills for clear project vision conveyance.