Machine Learning Engineer (On-Site) - NLP and Data Engineering

Responsibilities:

• Work on next-generation conversational AI tools with an emphasis on practical implementation
• Train, evaluate, and deploy NLP models with REST API
• Analyze machine learning models and data to derive actionable insights for model improvement
• Conduct data cleanup and preprocessing tasks to ensure high-quality input for machine learning models and create benchmarking data for various NLP tasks
• Collaborate with cross-functional teams to understand business requirements and translate them into effective data processing solutions
• Implement and maintain data pipelines for efficient data extraction, transformation, and loading (ETL) processes
• Take ownership of data quality, ensuring accuracy and reliability throughout the data lifecycle
• Investigate and incorporate new tools and technologies that enhance data processing efficiency and overall system performance
• Collaborate with the engineering team to write scripts and optimize data processing workflows

Requirements:

• Master's degree in Artificial Intelligence, Computer Science, or a related field
• 2+ years of professional experience in a software engineering role, with a focus on data cleanup and scripting
• Solid programming skills, with proficiency in Python and experience with data analysis tools (e.g., Pandas, NumPy)
• Previous experience in NLP and familiarity with machine learning fundamentals
• Strong problem-solving skills and ability to work independently on projects
• Experience with deploying applications on cloud platforms, preferably AWS