Description
ROLE OVERVIEW
We are seeking a skilled AI Developer to join our innovative team. As an AI Developer, you will design, develop, and implement artificial intelligence solutions that drive business growth and enhance user experiences. You will work closely with cross-functional teams, using advanced machine learning algorithms and AI tools to solve complex problems and create scalable solutions.
KEY RESPONSIBILITIES
Design and implement AI algorithms and models to solve business problems and optimize processes.
Develop and deploy machine learning and deep learning models for production environments.
Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications.
Optimize and fine-tune AI models for performance and scalability.
Evaluate and test the performance of AI models and algorithms.
Stay up-to-date with the latest advancements in AI and machine learning technologies.
Ensure AI solutions are ethical, transparent, and compliant with data privacy regulations.
Contribute to the continuous improvement of AI tools and frameworks used within the company.
WHAT WILL MAKE US HAPPY ?
Strong experience in Python and AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
Proficiency in machine learning algorithms, deep learning, and neural networks.
Hands-on experience with data preprocessing, feature engineering, and model evaluation.
Solid understanding of data structures, algorithms, and software engineering principles.
Experience with cloud platforms (e.g., AWS, GCP, or Azure) for AI and machine learning solutions.
Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
Strong problem-solving and analytical skills with a passion for AI innovation.
Excellent communication and teamwork skills, with the ability to work cross-functionally.
NICE TO HAVE
Experience with reinforcement learning or natural language processing (NLP).
Knowledge of big data technologies like Hadoop or Spark.
Familiarity with containerization tools such as Docker and Kubernetes.
Experience with AI deployment tools like TensorFlow Serving or MLflow.
We are seeking a skilled AI Developer to join our innovative team. As an AI Developer, you will design, develop, and implement artificial intelligence solutions that drive business growth and enhance user experiences. You will work closely with cross-functional teams, using advanced machine learning algorithms and AI tools to solve complex problems and create scalable solutions.
KEY RESPONSIBILITIES
Design and implement AI algorithms and models to solve business problems and optimize processes.
Develop and deploy machine learning and deep learning models for production environments.
Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications.
Optimize and fine-tune AI models for performance and scalability.
Evaluate and test the performance of AI models and algorithms.
Stay up-to-date with the latest advancements in AI and machine learning technologies.
Ensure AI solutions are ethical, transparent, and compliant with data privacy regulations.
Contribute to the continuous improvement of AI tools and frameworks used within the company.
WHAT WILL MAKE US HAPPY ?
Strong experience in Python and AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
Proficiency in machine learning algorithms, deep learning, and neural networks.
Hands-on experience with data preprocessing, feature engineering, and model evaluation.
Solid understanding of data structures, algorithms, and software engineering principles.
Experience with cloud platforms (e.g., AWS, GCP, or Azure) for AI and machine learning solutions.
Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
Strong problem-solving and analytical skills with a passion for AI innovation.
Excellent communication and teamwork skills, with the ability to work cross-functionally.
NICE TO HAVE
Experience with reinforcement learning or natural language processing (NLP).
Knowledge of big data technologies like Hadoop or Spark.
Familiarity with containerization tools such as Docker and Kubernetes.
Experience with AI deployment tools like TensorFlow Serving or MLflow.