Python Developer (Machine Learning)

Job Description As a Python Machine Learning Developer at Clover Infotech, your role will involve working with AI/ML technologies to create innovative solutions. You will be responsible for the following key tasks: - Proficient in Python with ML libraries such as Scikit-learn, TensorFlow, PyTorch, and Keras. - Experienced in data analysis and visualization using NumPy, Pandas, Matplotlib, and Seaborn. - Strong understanding of ML algorithms including regression, classification, clustering, ensemble methods, and time-series analysis. - Knowledge of deep learning concepts such as CNNs, RNNs, and Transformers. - Skilled in using NLP tools like NLTK, SpaCy, and Hugging Face. - Hands-on experience with PySpark for large-scale data processing. - Familiarity with cloud platforms like AWS, Azure, and GCP, along with tools such as Docker, Kubernetes, and MLflow. - Proficiency in SQL and NoSQL databases. - Understanding of MLOps practices including CI/CD, model monitoring, and versioning. - Strong problem-solving and analytical skills. - Good communication and teamwork abilities in agile environments. - Passion for continuous learning in the field of AI/ML. Qualifications & Skills: - Bachelors degree in computer science, Software Engineering, or a related field. - 2 years of proven experience as a Python Developer. - Strong proficiency in Python and Machine Learning (ML). - Candidate must have 1 to 3 years of experience in the BFSI/Banking domain. If you are interested in this opportunity and meet the qualifications, you can share your details along with the updated CV to hidden_email further inquiries, please contact hidden_mobile . (Note: The job description did not provide any additional details about the company.) As a Python Machine Learning Developer at Clover Infotech, your role will involve working with AI/ML technologies to create innovative solutions. You will be responsible for the following key tasks: - Proficient in Python with ML libraries such as Scikit-learn, TensorFlow, PyTorch, and Keras. - Experienced in data analysis and visualization using NumPy, Pandas, Matplotlib, and Seaborn. - Strong understanding of ML algorithms including regression, classification, clustering, ensemble methods, and time-series analysis. - Knowledge of deep learning concepts such as CNNs, RNNs, and Transformers. - Skilled in using NLP tools like NLTK, SpaCy, and Hugging Face. - Hands-on experience with PySpark for large-scale data processing. - Familiarity with cloud platforms like AWS, Azure, and GCP, along with tools such as Docker, Kubernetes, and MLflow. - Proficiency in SQL and NoSQL databases. - Understanding of MLOps practices including CI/CD, model monitoring, and versioning. - Strong problem-solving and analytical skills. - Good communication and teamwork abilities in agile environments. - Passion for continuous learning in the field of AI/ML. Qualifications & Skills: - Bachelors degree in computer science, Software Engineering, or a related field. - 2 years of proven experience as a Python Developer. - Strong proficiency in Python and Machine Learning (ML). - Candidate must have 1 to 3 years of experience in the BFSI/Banking domain. If you are interested in this opportunity and meet the qualifications, you can share your details along with the updated CV to hidden_email further inquiries, please contact hidden_mobile . (Note: The job description did not provide any additional details about the company.)