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Senior AssociateJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.*Why PWC
At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work powered by technology in an environment that drives innovation will enable you to make a tangible impact in the real world. We reward your contributions support your wellbeing and offer inclusive benefits flexibility programmes and mentorship that will help you thrive in work and life. Together we grow learn care collaborate and create a future of infinite experiences foreach other. Learn more about us.
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary: We are looking for a seasoned AWS
AI/ML/GenAI Developer
Responsibilities:
Design and implement AI/ML/GenAI models using AWS services such as AWS Bedrock SageMaker Comprehend Rekognition and others.
Strong programming skills in Python R etc
Experience with machine learning frameworks such as TensorFlow PyTorch or Scikit-learn.
Knowledge of data preprocessing feature engineering and model evaluation techniques.
Develop and deploy generative AI solutions to solve complex business problems and improve operational efficiency.
Collaborate with data scientists engineers and product teams to understand requirements and translate them into technical solutions.
Optimize and fine-tune machine learning models for performance and scalability. Ensure the security reliability and scalability of AI/ML solutions by adhering to best practices.
Maintain and update existing AI/ML models to ensure they meet evolving business needs.
Stay up-to-date with the latest advancements in AI/ML and GenAI technologies and integrate relevant innovations into our solutions.
Provide technical guidance and mentorship to junior developers and team members.
Excellent problem-solving skills and ability to work in a fast-paced collaborative environment.
Good to have AWS Certified Machine Learning Specialty or other relevant AWS certifications.
Mandatory skill sets:
(AWS Azure GCP) services such as GCP BigQuery Dataform AWS Redshift Python
Preferred skill sets:
Devops
Years of experience
required: 4-8 Years
Education qualification:
BE/ (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration Bachelor of Technology Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
AWS DevopsOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline 27 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Full-Time