ML Engineer
1 week ago
Job Summary:
We are looking for a skilled Machine Learning Engineer to design, build, and deploy intelligent models and algorithms that solve real-world problems. The ideal candidate will have strong analytical skills, programming expertise, and a deep understanding of machine learning principles and frameworks.
Key Responsibilities:
- Develop, train, and optimize machine learning and deep learning models.
- Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
- Build scalable data pipelines and integrate ML models into production systems.
- Collaborate with data scientists, data engineers, and software developers to deploy solutions.
- Evaluate model performance using appropriate metrics and improve model accuracy.
- Research and implement new algorithms and tools for better efficiency and performance.
- Document processes, models, and results for reproducibility and transparency.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
- Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras.
- Experience with data manipulation tools (NumPy, Pandas) and visualization tools (Matplotlib, Seaborn).
- Good understanding of statistics, probability, and linear algebra.
- Experience with model deployment (using Flask, FastAPI, Docker, or cloud platforms like AWS, GCP, Azure).
- Familiarity with version control (Git) and CI/CD pipelines.
Preferred Skills:
- Experience with NLP, Computer Vision, or Generative AI.
- Knowledge of MLOps tools (MLflow, Kubeflow, Airflow).
- Exposure to big data technologies (Spark, Hadoop).
Job Types: Full-time, Permanent
Pay: ₹100, ₹1,500,000.00 per year
Work Location: Remote
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