Job Description

• Model Development: Design, build, and maintain scalable machine learning models and algorithms.
• Data Analysis: Analyze and preprocess data from various sources to prepare it for model training.
• Model Training & Evaluation: Train, validate, and tune machine learning models to achieve optimal performance.
• Deployment: Deploy models into production and integrate them with existing systems.
• Monitoring & Maintenance: Monitor model performance in production and update models as necessary to ensure they remain accurate and relevant.
• Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver solutions.
• Research: Stay current with the latest developments in machine learning and AI to continuously improve our technology stack.

Job Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Experience: Demonstrated at least 3 years experience as a Machine Learning Engineer or in a similar role.
• Programming Skills: Expertise in programming languages such as Python, golang, or Java.
• Machine Learning Frameworks: Proficient with machine learning frameworks and libraries like TensorFlow, PyTorch, JAX, scikit-learn, or equivalent.
• Data Management: Strong understanding of data management and processing tools such as SQL, Hadoop, Spark, etc.
• Problem-Solving: Exceptional analytical and problem-solving abilities.
• Data Analysis Tools: Skilled in using data analysis and visualization tools like NumPy, Pandas, and Matplotlib.
• NLP Experience: Familiarity with natural language processing concepts and large language models, including transformers and attention mechanisms.

Skills