AI Engineer - Associate 2

PwC Acceleration Center India; Andhra Pradesh; On-site; INR 700,000 - 1,200,000; Full time

Job summary

A leading professional services firm is seeking an AI Engineer - Associate 2 to join their Data and Analytics Engineering team. This entry-level role involves collaborating with data scientists to develop AI systems, ensuring the operationalization of advanced technologies, and providing innovative solutions. Candidates should have a Master's degree in relevant fields, 2 years of experience, and proficiency in English. The position is full-time and located in Bengaluru, Karnataka, India.

Qualifications

• 2 years of experience in AI engineering.
• Oral and written proficiency in English required.

Responsibilities

• Collaborate with data scientists and product teams to develop AI systems.
• Engage in projects that enhance skills in AI engineering.
• Contribute to the operationalization of advanced technologies.
• Build technical knowledge through participation in transformative initiatives.
• Analyze data to inform the development of innovative solutions.
• Support the implementation of resilient systems that drive innovation.

Skills

Cloud platforms: Azure, AWS, or GCP

LLM-based applications

Containerization and orchestration

ML lifecycle management

CI/CD pipelines

Data pipelines: Apache Airflow

Logging and observability tools

Serverless deployments

Education

Master's Degree in Computer Science, Engineering, Econometrics, Statistics, Business Analytics, or Informatics

Job description

Join to apply for the AI Engineer - Associate 2 role at PwC Acceleration Center India

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. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics Engineering team you will collaborate with data scientists and product teams to build resilient AI systems that drive enterprise innovation.

Responsibilities

• Collaborate with data scientists and product teams to develop AI systems
• Engage in projects that enhance skills in AI engineering
• Contribute to the operationalization of advanced technologies
• Build technical knowledge through participation in transformative initiatives
• Foster meaningful connections within a dynamic work environment
• Analyze data to inform the development of innovative solutions
• Support the implementation of resilient systems that drive innovation
• Adapt to rapidly changing project requirements and challenges

What You Must Have

• Master's Degree in Computer Science, Engineering, Econometrics, Statistics, Business Analytics, Informatics
• 2 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Proficiency in cloud platforms: Azure, AWS, or GCP
• Experience deploying and maintaining LLM-based applications
• Understanding of containerization and orchestration
• Managing and monitoring ML lifecycle experience
• Familiarity with CI/CD pipelines and infrastructure-as-code tools
• Knowledge of data pipelines using tools like Apache Airflow
• Exposure to logging and observability tools
• Experience with serverless deployments and GPU-enabled compute instances

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Professional Services

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