Responsibilities:
- Design, develop, and implement AI models and algorithms to solve complex business problems.
- 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.
- Optimize and fine-tune AI models for performance, scalability, and accuracy.
- Develop and maintain AI pipelines and workflows.
- Perform data preprocessing, feature engineering, and model evaluation.
- Deploy AI models into production environments and monitor their performance.
- Provide technical guidance and mentorship to junior team members.
Required Skill Sets:
- Educational Background: Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field.
- Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc.
- Machine Learning: Strong understanding 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 Flin
- 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 withcomputer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN.
- 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.
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.
