AI - ML Engineer
September 17
Description
• Designing, developing, testing, and deploying machine learning models for various applications. • Collaborating with data scientists, software engineers, and product managers to develop data-driven features. • Optimizing and improving the performance of existing machine learning models. • Implementing and maintaining scalable machine learning pipelines and infrastructure. • Analyzing and preprocessing large datasets to extract valuable insights and features. • Staying updated with the latest developments in machine learning, deep learning, and related technologies. • Conducting model training, validation, and performance evaluation to ensure models meet the required accuracy and reliability. • Creating and maintaining documentation related to machine learning models, algorithms, and processes. • Developing A/B testing frameworks and managing the deployment of models in production.
Requirements
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. • 6+ years of experience in AI and Machine learning • Proven experience as a Machine Learning Engineer, Data Scientist, or in a similar role. • Strong programming skills in Python, R, or similar languages. • Proficiency with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit learn, etc and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers) • Experience with data preprocessing, data wrangling, and data visualization. • Hands-on experience with SQL databases and API integration • Experience with text generation techniques, including language models like GPT • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production. • Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods. • Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines. • Ability to work in a collaborative environment and communicate effectively with cross-functional teams.
Benefits
• Best in class salary: We hire only the best, and we pay accordingly. • Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field. • Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.
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