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