Job Description

FERTIS INDIA PVT. LTD. HYDERABAD FERTIS INDIA PVT. LTD. HYDERABAD 20th July 2023 JOB DESCRIPTION Job Title/ Designation AI/ML Developer Work Location Hyderabad No. of Vacancies 01 Essential Qualification Possesses a Bachelor\'s degree or higher from a highly reputable institution in Computer Science, Statistics, Mathematics, or an allied field, underpinned by an outstanding academic record and a high CGPA. Desirable Qualification Possesses notable AI/ML certifications such as Deep Learning Specialization, Advanced Machine Learning Specialization, Machine Learning, Professional Certificate in Applied AI, Artificial Intelligence, Azure Machine Learning Engineer, TensorFlow for AI/ML. Languages Known Telugu, English & Hindi Role Summary Responsible for developing and implementing machine learning algorithms, models, and solutions to drive data-driven insights and innovations. Role & Responsibilities Develop, validate, and maintain advanced machine learning and artificial intelligence models. Handle data preprocessing, feature engineering, and model evaluation. Build intuitive and interactive user interfaces using front-end technologies like Angular and React. Work on back-end development tasks, integrating AI/ML models into applications. Troubleshoot and resolve technical issues promptly. Work closely with other teams to ensure seamless implementation and deployment of models. Understand the underlying systems and data architecture. Stay up to date with the latest trends and advancements in AI/ML technologies. Ensure the quality and performance of the models by using methodologies like cross-validation, A/B testing or confusion matrices. Understand the implications of various performance metrics. Technical/ Functional Competencies Strong proficiency in Python, including knowledge of popular libraries such as NumPy, pandas, scikit-learn, and TensorFlow or PyTorch for deep learning. Proficiency in R for statistical analysis, data manipulation, and building machine learning models. Exposure to Java and Scala for developing robust and scalable applications. Familiarity with back-end and front-end technology for developing attractive and user-friendly interfaces. Familiarity with SQL or NoSQL databases Ability to preprocess and clean data, handle missing values, and perform feature engineering techniques. Knowledge of model evaluation metrics and techniques, as well as hyperparameter tuning for optimizing model performance. Proficiency in data visualization libraries such as Matplotlib, Seaborn, or Plotly to present insights effectively. Proficiency with cloud platforms like AWS, Azure, or Google Cloud. Behavioral Competencies Strong analytical and problem-solving skills to tackle complex AI/ML challenges. Adaptability & Continuous Learning Excellent verbal and written communication skills to convey technical concepts to both technical and non-technical stakeholders. Uphold ethical standards in AI/ML work, including respect for data privacy, transparency in algorithms, and awareness of potential biases or impacts. Proactive and self-driven attitude to take ownership of tasks and deliver high-quality results. Page 2 of 2

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