Pwc
Data, Analytics & AI
IN_SeniorAssociate_AI/MLEngineer__Data&Analytics_Advisory_Mumbai
Neural analysis suggests this role is
optimal for Senior candidates.
“IN_Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Mumbai at Pwc. Skills: AI/ML, LLM, Data Engineering, DevOps. Leverage data to drive insights. Make informed business decisions”
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
4+ years of total & relevant experience in AI/ML, Advanced proficiency in Python, Experience with LLM frameworks, Experience with big data processing using Spark, Version control and experiment tracking using Git and MLflow, Familiarity with Go or Rust, 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 Kubernetes, Experience with Helm, Experience with service mesh implementations, Proficiency in LLM serving platforms, Proficiency in FastAPI, Proficiency in 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, 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.
Leverage data to drive insights
Make informed business decisions
Utilize advanced analytics techniques
Optimize client operations
Achieve strategic goals
Provide strategic insights
Drive informed decision-making
Develop innovative solutions
Implement innovative solutions
Optimize business performance
Enhance competitive advantage
Shape AI/ML initiatives
Lead AI/ML initiatives
Process large-scale data using Spark
Perform version control
Track experiments using MLflow
Process data concurrently
Manage infrastructure using IaC
Build CI/CD pipelines
Orchestrate containers using Kubernetes
Deploy LLM serving platforms
Manage vector databases
Containerize ML workloads
Retrain models automatically
Utilize advanced cloud services
Implement network security for ML systems
Develop recommendation systems
Develop translation services
Optimize LLMs for performance
Optimize LLMs for security
Create LLD for architecture
Work in microservices based architecture
Perform dimensionality reduction
Perform statistical hypothesis testing
Implement RAG systems
Implement vector databases
Implement semantic search
Optimize LLMs using quantization
Optimize LLMs using knowledge distillation
How You'll Work.
Team & Collaboration
Hybrid work environment; Flexibility and collaboration opportunities
Full Job Description
**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Senior Associate **Job Description & Summary** 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. _*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 considerations. " Job Description & Summary: A career within Data and Analytics services will pro
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