Senior Machine Learning Engineer Role (Python)

Design, implement, and optimize advanced machine learning algorithms for ML development based on PyTorch or TensorFlow.

Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient ML models.

Train, fine-tune, and evaluate machine learning models using large datasets.

Implement and adhere to best practices for model validation, testing, and deployment.

Conduct comprehensive labeling, and feature engineering to enhance the performance of ML models.

Collaborate closely with data scientists and domain experts to identify relevant features for improving model accuracy.

Utilize Python programming language, with a focus on PyTorch or TensorFlow, for the development of machine learning solutions.

Develop and maintain efficient and scalable code for production deployment in the LangChain environment.

Work with cloud platforms (e.g. Azure) to deploy and manage machine learning models.

Implement and manage MLOps practices, including ML pipelines and CI/CD, for automated model deployment and monitoring.

Leverage vector databases to efficiently store and retrieve embeddings generated by ML models.

Optimize data storage and retrieval processes for large-scale ML model applications.

Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand project requirements and deliver high-quality ML solutions.

Communicate complex technical concepts related to ML model development to both technical and non-technical stakeholders.

Stay up-to-date with the latest advancements in ML models, and related fields.

Contribute to the development and implementation of new techniques and technologies to improve language model performance.

Maintain thorough documentation of code, algorithms, and methodologies specific to ML model development.

Provide documentation and training to other team members as needed.

Provide mentorship and guidance to junior members of the team in the area of ML model development.

Take a leadership role in shaping the technical direction of machine learning projects within the NLP domain.