JOB OVERVIEW

We are seeking a skilled and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying machine learning models that drive actionable insights and enhance our data-driven decision-making processes. You will work closely with data scientists, software engineers, and stakeholders to implement advanced algorithms and optimize performance across various applications.

QUALIFICATIONS

• Proficiency in machine learning frameworks (e.g., TensorFlow, Spark) is essential.
• Strong experience with SQL for database management and querying.
• Familiarity with analytics tools such as Looker or SAS is a plus.
• Knowledge of linked data principles and their application in machine learning contexts.
• Experience with data mining techniques to extract meaningful insights from complex datasets.
• Understanding of model deployment strategies in cloud environments like AWS.
• Familiarity with Talend or similar ETL tools is advantageous.
• Proficient in scripting languages such as Bash (Unix shell) or VBA for automation tasks.
• A degree in Computer Science, Data Science, Mathematics, or a related field is preferred. Join us in pushing the boundaries of technology through innovative machine learning solutions!
  Job Type: Contract
  Pay: $66.63 - $80.25 per hour
  Expected hours: 40 per week

Benefits:

• Health insurance

Work Location: In perso

• Develop and implement machine learning models using frameworks such as TensorFlow, PyTorch, or similar.
• Conduct model training, evaluation, and optimization to ensure high accuracy and performance.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
• Utilize big data technologies like Hadoop and Spark for processing large datasets.
• Design and maintain databases to support data mining and analytics efforts.
• Implement ETL processes to streamline data collection and preparation.
• Explore unsupervised learning techniques for pattern recognition and anomaly detection.
• Apply natural language processing (NLP) techniques for text analysis and understanding.
• Utilize programming languages such as Python, Java, C, or R for model development.
• Engage in continuous learning of emerging technologies in AI and quantum engineering.