AI Lead Developer

Responsibilities:

• Lead the design, development, and implementation of AI models and algorithms to solve complex business problems.
• Oversee and mentor a team of AI engineers and data scientists, providing technical guidance and fostering a collaborative environment.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Conduct research and stay up to date with the latest advancements in AI and machine learning, integrating new technologies and methodologies into the team's workflows.
• Optimize and fine-tune AI models for performance, scalability, and accuracy.
• Develop and maintain AI pipelines and workflows, ensuring best practices in data management and model deployment.
• Perform data preprocessing, feature engineering, and model evaluation.
• Deploy AI models into production environments and monitor their performance.
• Communicate AI strategies and progress to stakeholders, including senior management and non-technical audiences.
• Ensure AI solutions adhere to ethical guidelines and responsible AI practices.
• Develop and execute a strategic vision for the AI team, aligning with the company's goals and objectives.
• Manage project timelines, deliverables, and resources to ensure successful project completion.
• Foster a culture of continuous learning and innovation within the AI team.

Required Skill Sets:

• Educational Background: Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field. A PhD is a plus.
• Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc.
• Machine Learning: Extensive knowledge of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
• Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn.
• Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink.
• Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions.
• Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3.
• Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN.
• Leadership: Proven experience in leading and managing a team of engineers or data scientists. Strong leadership and mentorship skills.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively.
• Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.
• Strategic Vision: Ability todevelop and execute a strategic vision for the AI team, aligning with the company's goals and objectives.
• Project Management: Experience in managing project timelines, deliverables, and resources to ensure successful project completion.

Preferred Qualifications:

• Experience with AI ethics and responsible AI practices.
• Knowledge of DevOps practices and tools for continuous integration and deployment (CI/CD).
• Familiarity with Agile methodologies and project management tools.
• Previous experience in a leadership role within an AI or data science team.