Senior Machine Learning Engineer
6 days ago
Job Description:
We are seeking a highly skilled and motivated individual to join our team as a Senior Machine Learning Engineer. This role requires a strong background in computer science, data science, or electrical engineering, with a focus on machine learning and natural language processing (NLP) technologies.
Responsibilities:
- Design, develop, and implement machine learning models and algorithms with a focus on text-related projects to solve complex NLP problems.
- Hands-on experience with various machine learning and deep learning frameworks such as PyTorch, TensorFlow, and Scikit-learn, ensuring efficient and scalable model implementations for text-based applications.
- Extensive knowledge of NLP models, including transformers, BERT, Roberta, NER models, Rang Models i.e., LangChain, LLAMA Index, and other state-of-the-art NLP techniques.
- Utilize Python language effectively for implementing machine learning solutions, enhancing existing codebases, and contributing to text-related projects.
- Expertise in NLP libraries and Transformers, leveraging these tools to optimize and improve NLP model performance for text applications.
- Stay up-to-date with the latest advancements in machine learning, NLP research, and text-related projects, incorporating cutting-edge techniques into the team's work.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand business requirements and deliver effective ML solutions for text-based applications.
- Conduct code reviews, ensure code quality, and establish best practices for the team, specifically related to text-based projects and Lang Chain.
- Drive innovation and explore new approaches to solving challenging NLP problems, taking initiatives independently, including contributing to the development of the LAMA index and other text-related projects.
- Actively participate in research and development activities related to machine learning, NLP, and text-based applications, with a specific focus on transformers.
Requirements:
- Master's or Bachelor's degree in computer science, data science, or electrical engineering (or related fields).
- Proven experience of 3 years with machine learning technologies, particularly in NLP domains, text-related projects, and Lang Chain.
- Strong knowledge of machine learning and deep learning frameworks, including PyTorch, TensorFlow, and Scikit-learn, with hands-on experience in text-related projects.
- Hands-on experience with NLP models such as transformers, BERT, Roberta, and NER models, with a specific focus on contributing to the LLAMA index and Lang Chain.
- Proficiency in Python programming, with a solid understanding of software development principles, particularly in the context of text-based applications.
- Familiarity with various NLP libraries, such as NLTK, spaCy, FastText, and Transformers, with a strong emphasis on applying these tools to text-related projects.
- Demonstrated ability to take on new challenges and solve problems independently, particularly in the context of text-based applications and Lang Chain.
- Excellent communication and leadership skills, with a collaborative and team-oriented mindset.
- Proven track record of delivering successful machine learning projects, driving innovation in the field, and contributing to text-related projects and the development of the LAMA index.
If BS or MS Degree is in Electrical Engineering, he/she must have taken at least two courses mentioned below:
Machine Learning
Deep Learning
Natural Language Processing
Speech Processing
5.Compter Vision
- Digital image processing
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