The Artificial Intelligence Analyst will be responsible for developing, implementing, and monitoring AI- and machine learning–based solutions.
The professional will work on data analysis, model training, and the creation of intelligent applications that use AI to optimize processes and improve the user experience.
In addition, it will be essential to translate concepts and ideas into functional solutions, ensuring that artificial intelligence is integrated efficiently and strategically into the company's products and services.
Develop and implement AI models for process automation, predictive analytics, and business decision optimization.
Create intelligent applications and systems that leverage AI to deliver innovative, personalized solutions.
Analyze large volumes of data and identify patterns and relevant insights to enhance the company's products and services.
Train, test, and validate machine learning models to ensure efficiency and accuracy in predictions and automations.
Integrate AI solutions into the company's systems and platforms, ensuring compatibility and scalability.
Stay updated on trends and innovations in the field of artificial intelligence, proposing new solutions and continuous improvements.
Monitor the performance of AI models, tuning hyperparameters and implementing strategies to mitigate bias and prevent overfitting.
Deliver practical, working solutions, collaborating directly with software engineering, product, marketing, and UX teams to ensure AI is effectively embedded in applications and business processes.
Ensure AI solutions comply with regulations and ethical principles, such as data protection laws and fairness in algorithms.
Produce technical documentation and reports on model performance and applicability within the company's processes.

Requirements

Bachelor's degree in Computer Science, Data Engineering, Statistics, Mathematics, or related fields.
Proven experience in developing and deploying machine learning and deep learning models.
Strong proficiency in Python (libraries such as TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy).
Experience handling and processing structured and unstructured data.
Knowledge of NLP (Natural Language Processing) models, computer vision, and predictive analytics.
Experience with SQL and NoSQL databases.
Familiarity with cloud computing tools and platforms (AWS, Google Cloud, Azure).
Knowledge of feature engineering techniques and hyperparameter optimization.
Experience with MLOps (monitoring and automating AI pipelines).
Basic understanding of information security as applied to AI.
Experience developing applications and systems that use AI, including integration with AI APIs and mobile/web development frameworks.
Analytical and critical thinking skills for interpreting data and developing effective solutions.
Problem-solving skills and the ability to tackle complex challenges creatively.
Hands-on approach, ensuring AI solutions move from concept to production and are effectively applied in the company’s products and processes.
Clear and concise communication skills for both technical and non-technical stakeholders.
Curiosity and continuous learning mindset, staying updated on new technologies and industry trends.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningPythonTensorFlowPyTorchScikit-LearnPandasNumPyNLPSQL

Soft Skills

analytical thinkingcritical thinkingproblem-solvingcommunicationcuriositycontinuous learningcollaborationcreativityhands-on approachadaptability

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Data EngineeringBachelor's degree in StatisticsBachelor's degree in Mathematics