Full-Time Machine Learning Engineer

• Design & implement machine learning models in production;
• Create infrastructure for data ingestion, cleaning, and transformation;
• Ensure scalability, reliability, and performance of deployed models & infrastructure;
• Work closely with cross-functional teams to integrate machine learning solutions into products and services;
• Document model development processes, experiments, and results for future reference and reproducibility.

• Degree in Computer Science, Engineering, Mathematics, or a related field or equivalent work experience;
• 2+ years of experience working as Machine Learning Engineer;
• Proven experience in Data Engineering, Software Development, DevOps, Machine Learning or a related field;
• Strong understanding and proficiency in Python programming language;
• Proven track record of deploying machine learning models in production environments with containerization and orchestration using Docker, Kubernetes, MLflow, etc.;
• Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, HuggingFace, etc.;
• Experience with AWS services - RDS, Lambda, EC2, S3, EMR, SageMaker, etc.;
• Experience with version control systems and CI/CD pipelines;
• Experience developing scalable APIs;
• Familiarity with big data technologies like Hadoop, Spark, etc.;
• Good understanding of Computer Science fundamentals (algorithms, data structures, distributed computing, operating systems);
• Understanding of Machine Learning fundamentals;
• Strong problem-solving skills and ability to analyze complex problems, troubleshoot issues, and develop practical solutions;
• Ability to communicate problems and solutions with people from different technical backgrounds;
• Attention to detail, and ability to work independently and collaboratively in a fast-paced environment;
• Excellent verbal and written communication skills in English.

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