? Collaborate with cross-functional teams to understand project requirements and objectives. ? Assist in data collection, preprocessing, and cleaning for training ML models. ? Develop, train, and evaluate machine learning models in NLP, speech to text and text to speech. ? Implement and deploy ML models into production systems. ? Process automation and integration into the third-party platforms with focus on financial services platforms. ? Monitor and optimize the performance of deployed models. ? Conduct experiments to fine-tune algorithms and improve model accuracy. ? Stay updated with the latest trends, tools, and technologies in the ML space. Minimum Qualifications and Experience: ? Bachelor?s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field with a minimum of 3-4 years of experience. Required Expertise: ? Strong understanding of fundamental ML concepts, algorithms, and techniques (e.g., supervised, unsupervised learning). ? Proficiency in programming languages such as Python or R. ? Familiarity with ML libraries/frameworks like TensorFlow, PyTorch, or scikit-learn. ? Knowledge of data manipulation and analysis using tools like Pandas and NumPy. ? Familiarity with cloud platforms (e.g., AWS, Google Cloud, or Azure). ? Understanding of database systems (SQL or NoSQL). ? Experience with version control systems like Git. ? Basic knowledge of software engineering principles. ? Problem-solving and critical thinking. ? Strong communication and collaboration skills. ? Eagerness to learn and adapt in a fast-paced environment. Other terms: ? The position is contractual, full time in nature and subject to periodic performance reviews.