ML Engineer
2 weeks ago
Key Responsibilities:
- Design, develop, and deploy machine learning and deep learning models for real-world applications.
- 2-5 years of hands-on experience in AI/ML development.
- Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Proficiency in programming languages: Python.
- Experience with data processing and ETL using Pandas, NumPy, SQL, and Spark.
- Familiarity with NLP, Computer Vision, or Reinforcement Learning is a plus.
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker/Kubernetes.
- Experience in MLOps, CI/CD for ML pipelines, and tools like MLflow, Kubeflow.
- Knowledge of big data technologies (Hadoop, Spark) is a plus.
- Strong problem-solving skills, analytical thinking, and ability to work in a team.
- Preprocess and analyze large-scale structured and unstructured datasets.
- Implement and optimize ML algorithms, feature engineering, and model selection.
- Develop AI pipelines for model training, validation, and deployment.
- Use MLOps techniques for model monitoring, retraining, and scaling.
- Work with cloud platforms (AWS, Azure, GCP) for model deployment and scalability.
- Collaborate with data scientists, software engineers, and product teams to integrate AI/ML solutions into business applications.
- Research and experiment with the latest AI/ML frameworks, tools, and techniques.
Job Type: Full-time
Pay: ₹800, ₹900,000.00 per year
Work Location: Remote
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