Machine Learning Developer

As a Machine Learning Developer at Atos in Chennai, you will be responsible for designing, developing, and deploying machine learning models. Your role will involve collaborating with cross-functional teams, performing data preprocessing, and ensuring the scalability and reliability of machine learning systems. Additionally, you will stay updated on the latest advancements in machine learning and provide training and support on machine learning technologies. Key Responsibilities: - Design and develop machine learning models and algorithms. - Implement and optimize machine learning pipelines and workflows. - Collaborate with cross-functional teams to integrate machine learning solutions. - Perform data preprocessing and feature engineering. - Monitor and improve the performance of machine learning models. - Ensure the scalability and reliability of machine learning systems. - Conduct research to enhance machine learning capabilities. - Develop and maintain documentation for machine learning processes. - Stay updated on the latest advancements in machine learning. - Provide training and support on machine learning technologies. Qualifications / Requirements: - Bachelor's degree in Computer Science, Data Science, or a related field. - 5-10 years of experience in machine learning and data engineering. - Proficiency in machine learning tools and languages such as Python, TensorFlow, and PyTorch. - Strong understanding of machine learning algorithms and techniques. - Expertise in data engineering and ETL processes. - Excellent problem-solving, analytical, and communication skills. Preferred Skills / Attributes: - Experience with Generative AI. - Knowledge of cloud platforms (e.g., AWS, Azure, GCP). - Experience with NLP (Natural Language Processing) techniques. - Experience with data engineering and ETL processes. - Experience with machine learning research and development. As a Machine Learning Developer at Atos in Chennai, you will be responsible for designing, developing, and deploying machine learning models. Your role will involve collaborating with cross-functional teams, performing data preprocessing, and ensuring the scalability and reliability of machine learning systems. Additionally, you will stay updated on the latest advancements in machine learning and provide training and support on machine learning technologies. Key Responsibilities: - Design and develop machine learning models and algorithms. - Implement and optimize machine learning pipelines and workflows. - Collaborate with cross-functional teams to integrate machine learning solutions. - Perform data preprocessing and feature engineering. - Monitor and improve the performance of machine learning models. - Ensure the scalability and reliability of machine learning systems. - Conduct research to enhance machine learning capabilities. - Develop and maintain documentation for machine learning processes. - Stay updated on the latest advancements in machine learning. - Provide training and support on machine learning technologies. Qualifications / Requirements: - Bachelor's degree in Computer Science, Data Science, or a related field. - 5-10 years of experience in machine learning and data engineering. - Proficiency in machine learning tools and languages such as Python, TensorFlow, and PyTorch. - Strong understanding of machine learning algorithms and techniques. - Expertise in data engineering and ETL processes. - Excellent problem-solving, analytical, and communication skills. Preferred Skills / Attributes: - Experience with Generative AI. - Knowledge of cloud platforms (e.g., AWS, Azure, GCP). - Experience with NLP (Natural Language Processing) techniques. - Experience with data engineering and ETL processes. - Experience with machine learning research and development.