Sr AI Developer

Peterson Solutions

PURPOSE OF THE ROLE: Designing, developing, and implementing AI models and algorithms to solve specific problems or enhance existing systems. This could include natural language processing (NLP), machine learning (ML), computer vision (CV), or other AI techniques.

JOB RESPONSIBILITIES:

• Research and Development: Conducting research to identify and understand techniques, algorithms, and methodologies in artificial intelligence, machine learning, and related fields.
• Algorithm Development: Designing, developing, and implementing machine learning algorithms and models to solve specific problems or optimize processes. This involves selecting appropriate algorithms, feature engineering, hyperparameter tuning, and optimizing model performance.
• Data Preparation: Collecting, cleaning, preprocessing, and analyzing large datasets to extract relevant features and insights for use in training machine learning models.
• Model Training and Evaluation: Training machine learning models using labeled datasets and evaluating their performance using appropriate metrics and validation techniques. This includes cross-validation, hyperparameter optimization, and model selection.
• Deployment and Integration: Deploying trained models into production environments, integrating them with existing systems and workflows, and ensuring scalability, reliability, and performance.

REQUIREMENTS:

• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.
• 3+ years of hands-on professional experience in Natural Language Processing (NLP), Generative AI, and advanced prompting techniques.
• Proficiency in programming with Python.
• Knowledgeable in a range of machine learning libraries and environments, including TensorFlow, PyTorch, OpenAI's GPT, and AWS's machine learning services.
• Practical experience with major cloud services like AWS, Google Cloud, and Azure, with a focus on their AI/ML offerings.
• Excellent skills in explaining complex AI/ML concepts to audiences without a technical background.

• Working hours: Monday to Friday, 8:30 AM - 5:30 PM (hybrid-working mode).
• Competitive salary & 100% salary during probation; Year-end bonus, Annual Salary review.
• Personal Health-care insurance.
• Annual teambuilding and health check-up.
• Social insurance, health insurance, unemployment insurance according to Labour Laws (full salary).
• Provided with a laptop all necessary equipment for work.
• International working environment with a culture of trust and close collaboration in small teams.
• Personalized training and development programs to maximize your potential, opportunities for professional and personal growth in a dynamic company.
• Plus all the cool office perks: Free coffee, snacks, events, and personalized workstations tailored to your needs.