What you’ll do
- Design, develop, and implement machine learning and AI-based solutions.
- Build, train, test, and optimize machine learning and deep learning models.
- Develop scalable applications and backend services using Python.
- Work with supervised, unsupervised, and reinforcement learning algorithms.
- Implement NLP, Generative AI, and Large Language Model (LLM) solutions.
- Perform data preprocessing, feature engineering, model evaluation, and optimization.
- Develop and integrate REST APIs for AI/ML model deployment.
- Monitor model performance and continuously improve accuracy and efficiency.
What we’re looking for
- Strong proficiency in Python programming.
- Hands-on experience with Machine Learning algorithms and model development.
- Good knowledge of Deep Learning concepts and neural networks.
- Strong understanding of data structures, algorithms, and statistical concepts.
- Familiarity with SQL and NoSQL databases.
- Understanding of Git, Docker, and cloud platforms (AWS/Azure/GCP) is desirable.
PythonMachine LearningArtificial IntelligenceTensorFlowPyTorchScikit-learnPandasNLPGenerative AIREST APIs
Good to know
- Experience with OpenAI APIs, LangChain, or LlamaIndex is preferred.
- Knowledge of MLOps, model monitoring, and CI/CD pipelines is preferred.