- Collaborate with crossfunctional teams to understand business requirements and identify opportunities for applying GenAI technologies.
- Develop and implement machine learning models and algorithms for GenAI projects.
- Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis.
- Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines.
- Validate and evaluate model performance using appropriate metrics and techniques.
- Develop and deploy productionready machine learning applications and solutions.
- Utilize objectoriented programming skills to build robust and scalable software components.
- Utilize Kubernetes for container orchestration and deployment.
- Design and build chatbots using GenAI technologies.
- Communicate findings and insights to stakeholders through data visualizations, reports, and presentations.
- Stay uptodate with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- 35 years of relevant technical/technology experience, with a focus on GenAI projects.
- Strong programming skills in languages such as Python, R, or Scala.
- Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikitlearn.
- Experience with data preprocessing, feature engineering, and data wrangling techniques.
- Solid understanding of statistical analysis, hypothesis testing, and experimental design.
- Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
- Knowledge of data visualization tools and techniques.
- Strong problemsolving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work in a fastpaced and dynamic environment.
- Experience with objectoriented programming languages such as Java, C++, or C#.
- Experience with developing and deploying machine learning applications in production environments.
- Understanding of data privacy and compliance regulations.
- Relevant certifications in data science or GenAI technologies.
- Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.
- Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc.
- Experience in chatbot design and development.
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Data Science- Gen AI - Hyderabad, India - PricewaterhouseCoopers Service Delivery Center (Bangalore) Private Limited
Description
Description:
GenAI Data Scientist - Senior Associate
PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level.
As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects.
The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming.
Responsibilities:
Requirements:
Preferred Qualifications:
Nice to Have Skills:
If you are passionate about GenAI technologies and have a proven track record in data science, join PwC US - Acceleration Center and be part of a dynamic team that is shaping the future of GenAI solutions.
We offer a collaborative and innovative work environment where you can make a significant impact.Education
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications
Required Skills
Optional Skills
Desired Languages
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date