Gurugram, Haryana, India
Information Technology
Full-Time
PwC Acceleration Centers in India
Overview
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Job Title: GenAI Manager
Role Description
The GenAI Manager at PwC US will be responsible for leading and managing a team of developers and data engineers, with a focus on building Python-based applications and solutions leveraging artificial intelligence (AI) and machine learning (ML) technologies. The role requires expertise in application development, data engineering, and a strong understanding of AI/ML concepts to drive innovation and deliver high-quality solutions.
Number Of Years Of Experience
Job Title: GenAI Manager
Role Description
The GenAI Manager at PwC US will be responsible for leading and managing a team of developers and data engineers, with a focus on building Python-based applications and solutions leveraging artificial intelligence (AI) and machine learning (ML) technologies. The role requires expertise in application development, data engineering, and a strong understanding of AI/ML concepts to drive innovation and deliver high-quality solutions.
Number Of Years Of Experience
- Minimum of 8 years of experience in software development, with a focus on Python-based application development and data engineering
- At least 3 years of experience in a managerial or leadership role, overseeing teams and driving strategic initiatives
- Proficiency in GenaAI based application development and a focus on leveraging AI and ML technologies
- Strong Experience in Python programming and related frameworks (e.g., Django, Flask)
- Extensive experience in building scalable and robust applications using Python
- Solid understanding of data engineering principles and technologies (e.g., ETL, data pipelines, data warehousing)
- Familiarity with AI and ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch)
- Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services
- Experience with database systems (e.g., SQL, NoSQL) and data modeling
- Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions
- Excellent leadership and team management skills, with the ability to motivate and develop a high-performing team
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams
- Self-motivated and proactive, with a passion for learning and staying up-to-date with emerging technologies and industry trends
- Lead and manage a team of developers and data engineers, providing guidance, mentorship, and support to team members
- Design, develop, and deploy Python-based applications and solutions that leverage AI and ML technologies
- Oversee the development and maintenance of data pipelines, ensuring data quality and integrity
- Collaborate with cross-functional teams, including data scientists, business analysts, and UX/UI designers, to deliver innovative and scalable solutions
- Stay up-to-date with the latest advancements in AI, ML, data engineering, and software development, and identify opportunities to apply them in client projects
- Provide technical guidance and support to team members, fostering knowledge sharing and continuous improvement
- Assist in project management activities, including estimating effort, tracking progress, and ensuring timely delivery of solutions
- Collaborate with clients to understand their specific needs and develop tailored solutions to address their challenges in AI, ML, and data engineering
- Ensure adherence to coding standards, best practices, and quality assurance processes
- BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
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