Machine Learning Engineer

Machine Learning Engineer

Wynd Labs leverages unconventional data sources to provide unique and actionable insights, helping businesses across various sectors make informed decisions. Our startup environment is fast-paced, collaborative, and committed to innovation.

Your day-to-day:

• Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis.
• Designing and implementing pipelines for processing and analyzing large text datasets.
• Analyzing and interpreting complex time series data to provide actionable insights and solutions.
• Designing, implementing, and maintaining data-driven models and algorithms.
• Collaborating with cross-functional teams to understand data needs and deliver timely solutions.
• Ensuring data quality and integrity throughout all processes.
• Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data.
• Continuously researching and implementing best practices in data science and machine learning.
• Contributing to the development and improvement of internal data processing tools and infrastructure.

What experience you need:

• Bachelor’s, Master’s, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field.
• A minimum of 3 years of work or research experience dealing with large datasets.
• Strong coding skills in Python or other object-oriented programming languages.
• Graduate-level knowledge of statistics, including but not limited to hypothesis testing, regression analysis, and probability.
• Excellent work ethic and the ability to thrive in a fast-paced startup environment.
• Strong problem-solving skills and attention to detail.
• Good communication skills, with the ability to articulate complex data concepts to non-technical stakeholders.
• Experience working in a high output team.

Nice to have

• Experience in time series forecasting.
• Familiarity with popular NLP libraries and frameworks (e.g., Hugging Face Transformers, spaCy, NLTK).
• Proven experience in web scraping and data extraction.

Benefits

• Competitive salary
• Flexible work environment
• Flexible work hours
• Unlimited PTO