Full-Stack Engineer

About the role

The role is part of a growing team focused on building trustworthy AI solutions. The position involves working with cutting-edge technologies such as RabbitMQ, Kubernetes, Apache Kafka, Amazon Web Services, Hadoop, and more.

Responsibilities

• Develop and maintain scalable and efficient machine learning models using state-of-the-art frameworks like PyTorch and TensorFlow.
• Collaborate with cross-functional teams including data scientists, product managers, and engineers to ensure project success.
• Conduct research in areas related to artificial intelligence and machine learning to drive innovation within the company.
• Implement and optimize machine learning pipelines using tools like Airflow and Fiddler.
• Ensure compliance with regulatory standards and ethical guidelines in all AI-related projects.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Statistics, or a related field.
• At least 3 years of experience in machine learning development and deployment.
• Strong proficiency in Python, Java, or C++.
• Experience with distributed systems and cloud platforms (AWS, Google Cloud).
• Knowledge of deep learning frameworks (PyTorch, TensorFlow).
• Excellent problem-solving skills and ability to work independently and collaboratively.

Qualifications

• Passionate about developing trustworthy AI solutions that benefit society.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Experience with data preprocessing, model training, and evaluation.
• Understanding of ethical considerations in AI and machine learning.

Skills

• Proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning libraries and frameworks.
• Knowledge of cloud computing services and distributed systems.
• Experience with data analysis and visualization tools.
• Strong analytical and problem-solving skills.

Benefits

• Flexible remote work options.
• Competitive salary range of USD 164,000 - 280,000 per year.
• Health insurance coverage.
• Retirement savings plan.
• Professional development opportunities.
• Regular team-building activities.

Pay

USD 164,000 - 280,000 per year based on experience and qualifications.

Schedule

Hybrid schedule available, combining remote and in-office work.