Pwc
Data, Analytics & AI
IN-Manager_AI/MLEngineer__Data&Analytics_Advisory_Bangalore
Neural analysis suggests this role is
optimal for Manager candidates.
“IN-Manager_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore at Pwc. Skills: AI/ML, LLM, Data Engineering, DevOps. Design and develop data solutions. Transform raw data into insights”
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
No work visa sponsorship
What They're Looking For.
Must Have
8-12 years of experience, 4+ years of total & relevant experience in AI/ML, Advanced proficiency in Python, Experience with big data processing using Spark, Version control and experiment tracking using Git and MLflow, Expertise in microservices, Expertise in test-driven development, Expertise in concurrency processing, Experience with Infrastructure as Code, Experience with CI/CD pipelines, Experience with container orchestration, Experience with Helm, Experience with service mesh implementations, Proficiency in LLM serving platforms, Proficiency in model quantization techniques, Vector database management, Utilization of containerization strategies for ML workloads, Experience with model serving tools, Automated model retraining, Grasp of advanced cloud services, Grasp of network security for ML systems, Expertise in developing chatbots, Expertise in recommendation systems, Expertise in translation services, Optimizing LLMs for performance and security, Python, SQL, Experience with cloud platforms, Experience in creating LLD for architecture, Experience working in microservices based architecture, Deep understanding of ML and LLM development lifecycle, Expertise in feature engineering, Expertise in embedding optimization, Expertise in dimensionality reduction, Advanced knowledge of A/B testing, Advanced knowledge of experimental design, Advanced knowledge of statistical hypothesis testing, Experience with RAG systems, Experience with vector databases, Experience with semantic search implementation, Proficiency in LLM optimization techniques, Understanding of MLOps practices
Nice to Have
Prior experience in industries leveraging AI/ML technologies
What You'll Do.
Design and develop data solutions
Transform raw data into insights
Develop and implement AI/ML solutions
Enable intelligent decision-making
Shape AI/ML initiatives
Lead AI/ML initiatives
Process big data using Spark
Perform large-scale data analytics
Utilize version control
Develop microservices
Implement test-driven development
Manage infrastructure as code
Build CI/CD pipelines
Orchestrate containers
Implement service mesh
Manage vector databases
Containerize ML workloads
Retrain models automatically
Utilize cloud services
Develop recommendation systems
Develop translation services
Optimize LLMs for performance
Optimize LLMs for security
Create LLD for architecture
Work in microservices architecture
Perform dimensionality reduction
Implement RAG systems
Implement vector databases
Implement semantic search
How You'll Work.
Team & Collaboration
Hybrid work environment; Flexibility and collaboration
Process & Methodology
Agile
Full Job Description
**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Manager **Job 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. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. _Why PWC_ At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our 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 for each other. Learn more [about us](https://www.pwc.in/about-us.html). 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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above consid
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