Remote - Machine Learning with AI Experience

Key Responsibilities: Develop, test, and deploy machine learning models and AI solutions for a variety of applications, including predictive analytics, computer vision, natural language processing, etc.

Collaborate with cross-functional teams to define project requirements and objectives.

Preprocess and clean large datasets to ensure they are suitable for model training.

Research and apply state-of-the-art machine learning algorithms, such as deep learning, reinforcement learning, or unsupervised learning, to improve model accuracy and efficiency.

Optimize machine learning models for scalability and performance in production environments.

Continuously monitor and improve the performance of deployed models based on feedback and new data.

Provide insights from machine learning experiments to influence product decisions and business strategies.

Write clean, efficient, and well-documented code to facilitate collaboration and model deployment.

Stay up to date with advancements in AI and machine learning research to keep the organization at the cutting edge.

Preferred Skills: Experience with AI-powered applications such as recommendation systems, autonomous systems, or generative models.

Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes Familiarity with big data processing tools such as Hadoop, Spark, or similar.

Provide insights from machine learning experiments to influence product decisions and business strategies.

Write clean, efficient, and well-documented code to facilitate collaboration and model deployment.

Stay up to date with advancements in AI and machine learning research to keep the organization at the cutting edge.