Senior Associate - Noida, India - PwC
Description
Description
Summary:
We are seeking a highly skilled and experienced AI ML automation Engineer with expertise in Python, Machine Learning, Deep Learning, and Data Science. The ideal candidate will have a strong background in machine learning, and a deep understanding of NLP to develop advanced solutions for intelligent document processing. The role involves leveraging advanced analytical techniques to drive data-driven decision-making and deliver innovative solutions to our clients.
Responsibilities:
Design, develop, and implement advanced machine learning models and algorithms to solve complex business problems.
Leverage expertise in Python, Machine Learning to develop cutting-edge data-driven solutions.
Utilize NLP and NLU techniques to extract insights, classify, and process information from unstructured text data in documents.
Conduct data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making.
Collaborate with cross-functional teams to understand business requirements and translate them into actionable AIML solutions.
Stay up to date with the latest advancements in AIML technologies, frameworks, and tools, and proactively learn and adopt new technologies to enhance our offerings.
Communicate effectively with stakeholders, presenting findings, recommendations, and project progress in a clear and concise manner.
Code in a Linux environment for development purposes.
Qualifications:
Bachelor's degree or higher in Computer Science, AIML, or a related field.
Minimum of 2+ years of relevant professional experience in Python, Machine Learning, Deep Learning.
Strong expertise in data analysis, modeling, and machine learning techniques (e.g., regression, classification, clustering, deep learning).
-Proficiency in Python and relevant libraries/frameworks for NLP (e.g., NLTK, spaCy, Transformers).
Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience in working with large and complex datasets, data preprocessing, and feature engineering.
Solid understanding of statistical concepts and their applications in data analysis.
Proven track record of delivering successful AIML projects and driving business impact.
Excellent communication, presentation, and documentation skills.
Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.
Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.
Primary Mandatory Skills:
Machine Learning (e.g., CNN, RNN, GAN, Transformers, Encoder-Decoder architectures, NLTK, Transformers)
Python
Data Analysis and Modeling
Secondary Skills:
Research and Problem-Solving
Mandatory skill sets- AI ML Automation Engineer
Preferred skill sets - RPA Year of experience required -4-7 Qualifications- Post graduation/BE/BTECH
Education
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications
Required Skills
NICE Robotic Process Automation (RPA), Pega Robotic Process Automation (RPA), Robotic Process AutomationOptional Skills
Desired Languages
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date