ML / AI Engineer

Key Responsibilities:

• Design, develop, and deploy machine learning models using AWS SageMaker.
• Utilize AWS Bedrock for generative AI applications.
• Implement image and video analysis solutions using AWS Rekognition.
• Extract structured data from documents using AWS Textract.
• Write clean and efficient Python code for data processing and model development.
• Collaborate with cross-functional teams to understand requirements and deliver AI solutions.
• Monitor and optimize model performance and scalability.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
• Around 2 years of experience in AI/ML engineering.
• Proficiency in Python programming.
• Experience with AWS services including Bedrock, Rekognition, SageMaker, and Textract.
• Understanding of machine learning algorithms and model deployment.
• Strong analytical and problem-solving skills.

Preferred Qualifications: 

• Experience with cloud-native AI/ML workflows.
• Knowledge of data labeling and model evaluation techniques.
• Familiarity with CI/CD pipelines for ML models.
• Excellent communication and teamwork skills.
• Applicable certifications in AI/ML Domain.

Our team is composed of experts in their fields who are passionate about delivering high-quality work and maintaining a positive work culture. We value innovation, teamwork, and personal growth. As an experienced ML / AI Engineer, you will have the opportunity to make a significant impact on our projects and contribute to the success of our organization. If you are ready to embrace exciting challenges and foster a culture of excellence, we encourage you to apply.

What do we offer:

• Work remotely from anywhere in the world, with a fully remote team, and enjoy a mutually agreed schedule that fits your needs. (Core US working hours) 
• Work primarily with US-based colleagues, providing you with the opportunity to collaborate with people from diverse backgrounds and skill sets.
• Use your skills and expertise to make a significant impact on the delivery of projects in our company
• Work in a supportive environment that values your contribution and provides you with the resources and training you need to grow in your career.
• Enjoy a 40-hour workweek that provides you with a healthy work-life balance, and the time to pursue your personal and professional goals outside of work.

If you are a dedicated ML / AI Engineer looking for an opportunity to work with a dynamic team, we would love to hear from you. Apply today!