JOB SUMMARY

We are seeking a skilled and innovative Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing and implementing machine learning models and algorithms that drive data-driven decision-making. You will work closely with data scientists, software engineers, and product managers to develop scalable solutions that leverage big data technologies. The ideal candidate will have a strong foundation in programming, analytics, and natural language processing.

QUALIFICATIONS

• Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s degree preferred.
• Proficiency in programming languages such as Python, Java, or C.
• Experience with big data technologies (e.g., AWS, Hadoop).
• Strong understanding of database design principles.
• Familiarity with natural language processing techniques.
• Knowledge of analytics tools and methodologies.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced environment.
  If you are passionate about leveraging machine learning to drive innovation and improve processes, we encourage you to apply for this exciting opportunity.
  Job Types: Full-time, Fixed term contract
  Contract length: 12 months
  Pay: $120,000.00-$130,000.00 per year

Flexible language requirement:

• French not required

Schedule:

• 8 hour shift
• Monday to Friday

Experience:

• Machine learning: 1 year (preferred)

Work Location: In perso

• Design, develop, and deploy machine learning models to solve complex problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Analyze large datasets to extract meaningful insights and optimize model performance.
• Implement algorithms using programming languages such as Python, Java, or C.
• Utilize big data technologies like AWS and Hadoop for data processing and storage.
• Conduct experiments to validate model accuracy and effectiveness.
• Maintain documentation of processes, models, and code for future reference.
• Stay updated with the latest advancements in machine learning and artificial intelligence.