Lead AI Engineer
6 days ago
Job Summary :
We are seeking a highly motivated and talented Lead AI Engineer to join our growing team. In this role, you will be responsible for leading the development and implementation of AI/ML solutions, from concept to deployment. You will work closely with cross-functional teams to understand business needs, design innovative AI models, and drive the adoption of AI technologies.
This position requires a strong foundation in machine learning, deep learning, and software development, along with the ability to lead and mentor junior team members.
Responsibilities :
AI/ML Model Development and Deployment :
- Design, develop, and deploy machine learning and deep learning models to solve complex business problems.
- Implement end-to-end AI/ML pipelines, including data preprocessing, feature engineering, model training, and evaluation.
- Optimize model performance and ensure scalability for production environments.
- Deploy and maintain AI models on cloud platforms or on-premise infrastructure.
Research and Innovation :
- Stay up-to-date with the latest advancements in AI/ML research and technologies.
- Conduct research and experimentation to explore new AI techniques and algorithms.
- Identify opportunities to apply AI to solve emerging business challenges.
Team Leadership and Mentorship :
- Lead and mentor junior AI engineers, providing technical guidance and support.
- Collaborate with cross-functional teams, including data engineers, software developers, and product managers.
- Participate in code reviews and ensure adherence to coding standards and best practices.
- Help define project scope and timelines.
Data Management :
- Work with large datasets, ensuring data quality and consistency.
- Develop and implement data preprocessing and feature engineering pipelines.
- Collaborate with data engineers to build and maintain data infrastructure.
Required Technical Skills :
- Proficiency in Python.
- Experience with Java or C++ is a plus.
- Strong understanding of machine learning algorithms (e.g., regression, classification, clustering).
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Experience with Natural Language Processing (NLP) and Computer Vision is highly desirable.
- Experience with time series analysis.
- Proficiency in libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.
- Experience with deploying models with cloud tools.
- Experience with SQL and NoSQL databases.
- Familiarity with data processing tools (e.g., Apache Spark).
- Understanding of software development principles and best practices.
- Experience with version control systems (e.g., Git).
Preferred Skills :
- Experience with MLOps and AI model deployment pipelines.
- Experience with edge AI and embedded systems.
- Knowledge of statistical modeling and data analysis.
- Experience with AI ethics and responsible AI practices.
Soft Skills :
- Strong problem-solving and analytical skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Strong leadership and mentoring abilities.
- Ability to learn and adapt to new technologies.
- Strong organizational skills.
Education :
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Benefits :
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge AI projects.
- Collaborative and innovative work environment.
- Opportunities for professional growth and development.
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