Senior Machine Learning Engineer

2 weeks ago

Hubli, India C5i Full time

Requirements & Qualifications: Education - Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field. Technical Experience - 5+Years years of hands-on experience developing, training, and deploying machine learning models in production environments. - Proficiency in Python and major ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras. - Strong experience with data manipulation and analysis using Pandas and NumPy. - Skilled in data visualization using libraries such as Matplotlib and Seaborn. - Solid understanding of supervised, unsupervised, and deep learning techniques. - Experience performing end-to-end Data Analytics, including data cleaning, trend analysis, reporting, and insight generation. Core Data Skills - Strong capability in Exploratory Data Analysis (EDA). - Experience with feature engineering and data preprocessing. - Good grounding in statistics and mathematical concepts relevant to machine learning. MLOps & Deployment - Familiarity with MLOps tools such as MLflow, Kubeflow, or similar platforms. - Experience working with cloud services (AWS, GCP, or Azure) for model development and deployment. - Proficiency with version control systems (Git) and CI/CD practices for ML pipelines. Preferred Qualifications: - - Exposure to NLP, Computer Vision, or Time-Series modeling. - Experience working with large-scale distributed systems or Big Data technologies like Spark or Hadoop. - Knowledge of data warehousing solutions and SQL.

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