Job Description
Job Title: NLP Engineer/MLOps Engineer (NOT REMOTE)
About INTELLITHING:
INTELLITHING is a cutting-edge technology company dedicated to pushing the boundaries of innovation in the fields of machine learning and artificial intelligence. We are seeking a talented and motivated Junior to Mid-Level LLMOps/MLOps Engineer to join our dynamic team and play a key role in our exciting projects. If you have a passion for Python, a deep understanding of AWS and Azure cloud services, and are excited about the world of distributed computing, we want to hear from you.
Position Overview:
As a LLMOps/MLOps Engineer at INTELLITHING, you will be an integral part of our machine learning operations team. You will work closely with our data scientists, software developers, and cloud architects to deploy, manage, and optimize machine learning models and systems. Your role will encompass a diverse range of responsibilities, including managing cloud resources, ensuring scalability, and assisting with backend development tasks. If you are eager to learn and thrive in a collaborative and fast-paced environment, this is the perfect opportunity for you to grow your career in the exciting field of LLMOps/MLOps.
Key Responsibilities:
- Collaborate with data scientists and software developers to deploy and maintain machine learning models on cloud platforms (AWS and Azure).
- Work with cloud resources, including AWS EKS and Azure Machine Learning, to facilitate model training and inference.
- Manage and optimize containerised applications using Amazon EKS and other container orchestration tools.
- Design, implement, and maintain distributed computing solutions for data processing and model training.
- Ensure the security, scalability, and reliability of machine learning infrastructure.
- Contribute to backend development tasks as needed, enhancing the overall system's functionality.
- Monitor and troubleshoot issues related to NLP Engineer and MLOps infrastructure.
- Stay up-to-date with industry trends and emerging technologies in NLP Engineer/MLOps.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent work experience).
- Proficiency in Python programming is essential.
- Strong understanding of AWS and Azure cloud services, with hands-on experience in SageMaker, EKS, and distributed computing.
- Knowledge of containerization and container orchestration tools such as Docker and Kubernetes.
- Familiarity with backend development is a bonus.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills and the ability to explain technical concepts to non-technical stakeholders.
- Eagerness to learn and adapt to new technologies and tools.
Why Join INTELLITHING:
- Opportunity to work on cutting-edge machine learning and AI projects.
- Opportunity to work in a fast-paced startup fueled by entrepreneurial spirit.
- Opportunity to work alongside some of the most well-known data scientists.
- Ongoing training and professional development opportunities.
- Chance to grow and advance your career in a rapidly evolving field.
If you are passionate about NLP Engineer/MLOps, Python, cloud computing, and are excited about contributing to groundbreaking projects, we encourage you to apply. Join us in shaping the future of AI and machine learning at INTELLITHING.
How to Apply:
Please submit your resume and a cover letter explaining your qualifications and interest in the NLP Engineer/MLOps Engineer position.
INTELLITHING is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
**No Agencies - Only UK based applicants**