Machine Learning Engineer

3 weeks ago

Any Location, India HARP Technologies and Services Full time

Location : Remote.

Experience : 7 to 12 years.

Notice Period : Immediate to 30 days

Role Summary :

We are seeking a Machine Learning Engineer (MLE) who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects. The ideal candidate will possess a strong foundation in machine learning, data processing, and software development, with the ability to work seamlessly with existing models and deploy new models into production.

Key Responsibilities :

- Develop, optimize, and deploy machine learning models to support project objectives.

- Process and analyze large datasets to inform model development and enhancements.

- Maintain and improve existing machine learning models within our systems, ensuring they meet our standards for accuracy and performance.

- Collaborate with cross-functional teams to integrate machine learning solutions into our operational framework.

- Utilize software development tools to maintain a robust, scalable codebase.

- Apply a variety of machine learning techniques (e.g., statistics, clustering, classification, outlier analysis) to solve complex problems.

Basic Qualifications:

- Proficiency in Python and knowledge of key machine learning packages such as numpy, pandas, scikit-learn, and xgboost.

- Understanding of data structures, data modeling, software architecture, and software development tools, including Git and virtual environments.

- Demonstrated ability to apply machine learning techniques to solve real-world problems.

- Experience in deploying machine learning models in code and working with existing models.

- Strong problem-solving skills and the ability to work independently or as part of a team.

Preferred qualifications :

- Experience in building and accessing API endpoints.

- Cloud computing experience, particularly with AWS.

- Experience with deploying open source deep learning models, with a preference for those related to Life Sciences.

- Proficiency in Deep Learning frameworks, such as PyTorch.

- Experience in building and managing MLOps pipelines.

Desired candidate :

- Very good in ML engineering development.

(ref:hirist.tech)

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