Job description
Clean, prepare, and explore data to find trends and patterns Build, validate, and implement AI/ML models Extensively document all aspects of the work including data analysis, model development, results Collaborate with other team members teams to incorporate AI/ML models into software applications Stay updated with the latest advancements in AI/ML domain and incorporate into day-to-day work Requirements 3-7 years of experience in AI/ML related work Extensive experience in Python Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers Experience with machine learning frameworks such as Tensor.
Flow, Py. Torch, Scikit-learn, Keras Experience with GenAI, LLMs, RAG architecture would be a plus Familiarity with cloud services such as AWS, Azure Familiarity with version control systems (e.g., Git), JIRA, Confluence Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro Knowledge of CI/CD pipelines and DevOps practices Experience delivering customer facing AI Solutions delivered as SaaS would be a plus Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Strong problem-solving skills and attention to detail Excellent verbal and written communication and teamwork skills Benefits Competitive salary and benefits package Opportunity to work on cutting-edge technologies and innovative projects Collaborative and inclusive work environment Professional development and growth opportunities