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You will be updated with latest job alerts via emailResponsibilities:
Analyze and interpret complex data to provide actionable insights.
Develop and implement machine learning models and algorithms.
Collaborate with cross-functional teams to understand business requirements and deliver data driven solutions.
Conduct experiments analyze results and iterate on models to improve performance.
Communicate findings and recommendations to stakeholders.
Stay current with advancements in data science and machine learning technologies.
Skills:
Proficiency in programming languages such as Python R and SQL.
Experience with machine learning frameworks and libraries such as TensorFlow PyTorch or scikit-learn.
Experience with LLMs and orchestration Frameworks such as LangChain LangGraph etc.
Esperience in finetunings LLMs using techniques such as QLORA
Experience in testing and evaluating LLM and GenAI solutions
Knowledge of statistical analysis and data visualization techniques.
Familiarity with data preprocessing feature engineering and model evaluation techniques.
Experience with Machine Learning deep learning natural language processing etc.
Experience with version control systems (e.g. Git) and CI/CD pipelines.
Experience with Azure and AWS
Strong problem-solving skills and attention to detail.
Qualifications:
Bachelor s degree in Computer Science Data Science or a related field.
7 years of experience in Machine Learning AI related field
Full Time