Location: Remote or Paris

Job Type: Full-Time

Duration: 6 months

Company Description

At Alki,  we harness cutting-edge AI to push the boundaries of forecasting performance while keeping costs to a minimum. Our mission is to deliver the most accurate predictions on the market. We are seeking a talented Full-Stack ML Engineer Intern to join us in shaping the future of time series forecasting—helping us industrialize and scale our MLOps capabilities, from research and development all the way to production.

Role Description

• Design, implement, and optimize sophisticated time series forecasting algorithms 
• Monitor and maintain operational ML models, quickly identifying and addressing performance degradation or shifts in model accuracy/data
• Maintain our forecasting playground to leverage and automate R&D experiments in order to validate new models 
• Doing forecasting backtests for our potential customers – meaning retrieve data from our customers, integrate them into the system, doing experiments and provides results
• Collaborate with cross-functional teams, including CTO, software engineer, UX/UI designer to ensure models effectively address business needs and enhance decision-making
• Stay abreast of the latest developments in machine learning, artificial intelligence, and related technologies to continuously improve our MLOps practices and time series models

Qualifications

• Master’s/PhD degree (preferred) in Computer Science, Applied Maths, Statistics, or a related field
• Strong experience in time series analysis and forecasting
• Strong understanding of the challenges associated with deploying, monitoring, and maintaining thousands of ML models in a production environment
• Strong experience with AutoML, HPO, NAS
• Proficient in Python, including extensive experience with ML libraries such as TensorFlow or PyTorch, and statistical modeling tools
• Knowledge of AWS cloud services related to machine learning and data processing, including Amazon S3, EC2, RDS, Lambda
• Excellent analytical and problem-solving abilities, with a strong collaborative mindset
• Background in LLMs and transformer models would be advantageous

Benefits:

• Direct mentorship from the CTO (PhD in AI, École Polytechnique)
• Strong growth opportunities for professional development and career advancement
• Flexible working hours with remote work options
• A dynamic, innovative, and collaborative environment where your ideas matter