Qualification Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Minimum of two years of professional experience in developing AI/ML solutions, with a strong track record of successful project delivery.
Proficiency in programming languages such as Python / C++ / R / Scala, with experience in building machine learning and deep learning models libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, Spark MLlib, OpenCV, scipy, nltk, transformers, langchain, etc.
Strong foundation of deep learning, computer vision, natural language processing, and generative AI concepts. Solid understanding of machine learning concepts and techniques, including supervised, unsupervised, and reinforcement learning algorithms. Experience with LLMs, training them on custom data, as well as third-party LLM API (like OpenAI API) integrations.
Experience with data preprocessing techniques, feature engineering, EDA, model selection, hyperparameter tuning, and model evaluation.
Experience in data analysis and data visualization, the ability to employ statistical techniques, and create dashboards, charts, and visual aids is a plus.
Experience in SQL and No SQL databases, such as MySQL, PostgreSQL, MongoDB, etc.
Eager to learn new technologies and implement them into products and services. Staying up to date with the latest technologies and tools.
Strong analytical and problem-solving skills, with the ability to think critically and creatively to solve complex technical challenges.
Excellent communication and collaboration skills, with the ability to effectively interact with stakeholders across different functional areas.
Experience working in an Agile development environment and familiarity with DevOps practices for continuous integration and deployment are pluses.
Demonstrated ability to work independently and as part of a team, with a proactive and self-motivated attitude toward learning and professional development.
Knowledge of Python web frameworks and API frameworks like Django, flask API, fast API, etc is a plus. Experience in ML Ops and cloud platforms is a plus.