Machine Learning Engineer
1 day ago
Job Description:
We are looking for a Machine Learning Engineer to design and implement state-of-the-art ML models that drive real business impact. The ideal candidate has strong skills in data preprocessing, algorithm development, and deploying machine learning models at scale.
Responsibilities:
- Design, develop, and deploy machine learning models for classification, regression, clustering, NLP, recommendation systems, or computer vision tasks.
- Analyze large and complex datasets to extract insights and improve model accuracy and efficiency.
- Collaborate with data engineers and product teams to collect relevant data and build data pipelines.
- Train, validate, and tune ML models using techniques such as cross-validation, hyperparameter optimization, and ensemble learning.
- Monitor and maintain production ML systems, ensuring performance and reliability.
- Stay up to date with the latest ML research and apply relevant techniques to business problems.
- Document processes, models, and decisions clearly for both technical and non-technical stakeholders.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field (PhD is a plus).
- Solid understanding of machine learning algorithms (e.g., decision trees, SVMs, neural networks, boosting).
- Proficient in Python and ML libraries like Scikit-learn, TensorFlow, PyTorch, or XGBoost.
- Experience with data processing tools (e.g., Pandas, NumPy, SQL, Spark).
- Familiarity with ML lifecycle tools (e.g., MLflow, Airflow, Docker, Kubernetes).
- Strong problem-solving skills and ability to work independently and in teams.
Preferred Qualifications:
- Experience deploying ML models in cloud environments (AWS, GCP, Azure).
- Knowledge of MLOps and CI/CD best practices for machine learning.
- Experience with time-series forecasting, NLP, or computer vision projects.
- Contribution to open-source ML projects or research publications.
Contact:
Job Type: Full-time
Pay: From ₹300,000.00 per year
Work Location: In person
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