Position Overview:
We are looking for a motivated Junior Machine LearningEngineer with a foundational understanding of NLP Large Language Models(LLMs) and predictive modelling.
The ideal candidate will have experience or strongcoursework in machine learning and a passion for developing and deploying MLmodels.
This role is an excellent opportunity for someone to growtheir skills and contribute to innovative machine learning solutions in adynamic team environment.
Key Responsibilities:
- Assist in the design development and deployment of machine learning models focusing on NLP and LLMs.
- Implement basic predictive analytics solutions to support business objectives.
- Work with Generative AI technologies and frameworks such as LangChain or Llama under the guidance of senior engineers.
- Write and optimize Python code utilizing frameworks and libraries like PyTorch and TensorFlow.
- Collaborate with team members to understand business requirements and contribute to technical solutions.
- Query and manipulate data using relational databases particularly MySQL.
- Support the development and integration of APIs with cloud platforms such as Azure GCP or AWS.
- Monitor model performance and assist in optimizing deployed solutions
Key Requirements:
- Education: Bachelors degree in Computer Science Data Science Business Analytics AI/ML or a relevant field.
- Experience: 13 years of handson experience with machine learning models particularly in NLP and LLMs.
- Predictive Modelling: Basic understanding and initial experience with predictive analytics solutions.
- Programming Skills: Proficiency in Python and familiarity with frameworks/libraries like PyTorch and TensorFlow.
- GEN AI Technologies: Introductory knowledge of Generative AI technologies and frameworks such as LangChain or Llama.
- Database Skills: Fundamental understanding of relational databases like MySQL.
- API and Cloud Platforms: Some experience or coursework related to APIs and cloud platforms like Azure GCP or AWS.
Preferred Qualifications:
- Experience with machine learning pipeline development.
- Familiarity with containerization tools like Docker and orchestration tools like Kubernetes.
- Knowledge of data visualization tools.
- Strong communication skills and the ability to work effectively within a team.
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