Machine Learning Engineer

3 weeks ago


Bangalore, India WEN Full time

Role : Machine Learning Engineer

Experience : 5+ years

Location : Bangalore

Responsibilities :

- Develop and implement machine learning models and algorithms.

- Perform data preprocessing, feature engineering, and exploratory data analysis.

- Train and evaluate machine learning models using various techniques and tools.

- Optimize model performance through hyperparameter tuning and model selection.

- Collaborate with cross-functional teams to understand business requirements and translate them into machine learning solutions.

- Design and build scalable and efficient machine learning pipelines.

- Utilize MLOps practices to ensure smooth deployment and monitoring of machine learning models.

- Work with large datasets and apply big data technologies for efficient processing.

- Stay updated with the latest research and advancements in the field of machine learning and data science.

- Contribute to the development and maintenance of machine learning frameworks and libraries.

- Provide technical guidance and mentorship to junior members of the team.

Skills :

- Strong knowledge of machine learning algorithms and techniques.

- Experience with ML implementation, including data preprocessing, feature selection, and model evaluation.

- Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.

- Familiarity with MLOps practices and tools for model versioning, deployment, and monitoring.

- Understanding of cloud platforms, such as GCP, for machine learning infrastructure.

- Knowledge of fine-tuning techniques for pre-trained models (LLM - Language Model Fine-tuning).

- Solid understanding of data structures, databases, and SQL.

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration skills to work effectively with cross-functional teams.

- Attention to detail to ensure accuracy and quality of machine learning models and results.

- Ability to adapt and learn new techniques and technologies in a fast-paced environment.

(ref:hirist.tech)

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