Job description
ID: 265 | 8-10 yrs | Jaipur | careers

Associate Machine Learning Architect

Job Description:



We are seeking a highly skilled Senior Machine Learning Engineer with 8-to-9 years of experience who has a proven track record of developing and deploying ML projects related to Regression, Natural Language Processing (NLP), Large Language Models (LLM), and Generative AI on production environments. The ideal candidate should possess in-depth knowledge of Lang Chain, Vector Database, and Knowledge Graph technologies.

Responsibilities:

Develop and deploy machine learning solutions related to Regression, NLP, LLM, and Generative AI projects on production environments.

Utilize Python for data processing, including exploratory data analysis (EDA) and feature engineering.

Work with cloud providers such as AWS, Azure, or GCP to implement ML solutions and leverage ML Ops for efficient deployment and management.

Demonstrate expertise in hyperparameter tuning and model optimization techniques.

Possess the ability to tweak models if necessary and build models from scratch as required.

Familiarity with batch and real-time streaming for data processing is highly desirable.

Requirements:

Bachelor’s or master’s degree in computer science, Data Science, or related field.

8-to-9 years of relevant experience in machine learning engineering.

Proficiency in Python for data processing and machine learning tasks.

Hands-on experience with cloud platforms such as AWS, Azure, or GCP for deploying ML solutions.

Strong understanding of ML Ops practices and methodologies.

Experience with EDA, feature engineering, and hyperparameter tuning.

Knowledge of Lang Chain, Vector Database, and Knowledge Graph technologies is a plus.

Good communication skills and ability to collaborate effectively within interdisciplinary teams.

Additional Information:

This is an exciting opportunity for a seasoned machine learning engineer to join our dynamic team and contribute to cutting-edge projects in the field of artificial intelligence. The successful candidate will have the chance to work on challenging problems and make meaningful contributions to the development of innovative solutions. We offer competitive compensation packages and opportunities for professional growth and advancement. If you are passionate about machine learning and eager to take on new challenges, we encourage you to apply.