Responsibilities:

·        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