Senior Engineer - AI/ML

• 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:

• Bachelors 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.