Machine Learning Engineer

0 years

0 Lacs

Posted:16 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Software Engineer with 3 years of experience in Machine Learning, you will be responsible for: - Building and evaluating ML models using Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. - Handling data preprocessing and feature engineering to enhance model performance. - Demonstrating proficiency in REST APIs, Docker, Git, and CI/CD tools for seamless development and deployment. - Implementing software engineering principles like data structures, algorithms, and design patterns in ML projects. - Utilizing MLOps platforms like MLflow, TFX, Airflow, Kubeflow for efficient ML model deployment. - Exploring NLP, LLMs, or computer vision projects and contributing to cloud platforms like AWS, GCP, Azure. - Engaging with open-source ML libraries and participating in ML competitions such as Kaggle, DrivenData is a plus. Qualifications required: - 3 years of experience in Machine Learning is preferred. - Strong proficiency in Python and ML libraries. - Familiarity with REST APIs, Docker, Git, and CI/CD tools. - Knowledge of MLOps platforms and cloud services. - Experience with NLP, LLMs, or computer vision projects is advantageous. Please note: - This is a full-time position with benefits including internet reimbursement, paid time off, and provident fund. - The work location is in person. Kindly provide your expected CTC and notice period when applying for this role. As a Software Engineer with 3 years of experience in Machine Learning, you will be responsible for: - Building and evaluating ML models using Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. - Handling data preprocessing and feature engineering to enhance model performance. - Demonstrating proficiency in REST APIs, Docker, Git, and CI/CD tools for seamless development and deployment. - Implementing software engineering principles like data structures, algorithms, and design patterns in ML projects. - Utilizing MLOps platforms like MLflow, TFX, Airflow, Kubeflow for efficient ML model deployment. - Exploring NLP, LLMs, or computer vision projects and contributing to cloud platforms like AWS, GCP, Azure. - Engaging with open-source ML libraries and participating in ML competitions such as Kaggle, DrivenData is a plus. Qualifications required: - 3 years of experience in Machine Learning is preferred. - Strong proficiency in Python and ML libraries. - Familiarity with REST APIs, Docker, Git, and CI/CD tools. - Knowledge of MLOps platforms and cloud services. - Experience with NLP, LLMs, or computer vision projects is advantageous. Please note: - This is a full-time position with benefits including internet reimbursement, paid time off, and provident fund. - The work location is in person. Kindly provide your expected CTC and notice period when applying for this role.

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