IN Senior Associate AWS AI/ML/GenAI Developer

Not Applicable Specialism SAP Management Level Senior Associate & 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 decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. & 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 Scikitlearn. 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 finetune 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 uptodate 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 problemsolving skills and ability to work in a fastpaced, 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 48 Years Education qualification BE/B.Tech/MBA/MCA/M.Tech Education Degrees/Field of Study required Bachelor of Engineering, Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills AWS Devops 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 more} Travel Requirements Government Clearance Required?