Artificial Intelligence Engineer

Summary

Join our team as a highly skilled AI Engineer and contribute to innovative projects that leverage cutting-edge technologies to solve real-world problems. This role offers the opportunity to work with cutting-edge technologies and deliver impactful AI solutions. You will develop, train, and deploy machine learning models, design scalable data pipelines, collaborate with cross-functional teams, and research and implement state-of-the-art algorithms. The ideal candidate possesses strong technical skills in programming languages, AI frameworks, and data preprocessing, along with expertise in at least one AI domain. Excellent problem-solving and communication skills are essential. This position offers flexible remote working arrangements and an innovative work environment.

Requirements

• Proficiency in programming languages like Python, R, or Java
• Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn
• Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics
• Expertise in at least one domain: Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, Generative AI (e.g., GPT, Stable Diffusion)
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment
• Strong grasp of mathematics and statistics (e.g., linear algebra, probability, optimization)
• Ability to explain complex AI concepts to non-technical stakeholders
• Strong problem-solving and critical-thinking skills
• Passion for continuous learning and staying updated with the latest AI trends

Responsibilities

• Develop, train, and deploy machine learning (ML) and deep learning models to solve industry-specific challenges
• Design scalable data pipelines and preprocess datasets for training and inference
• Collaborate with cross-functional teams to integrate AI models into existing systems
• Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI
• Conduct error analysis and improve models to address bias, fairness, and explainability
• Document technical processes and results, ensuring knowledge sharing within teams

Preferred Qualifications

• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations)
• Previous experience in sectors like healthcare, finance, retail, or autonomous systems

Benefits

• Exposure to international markets and the opportunity to work with a diverse team
• Flexible remote working arrangements
• Innovative environment