IN-Senior Associate _AI Engineer__ D&A_ Advisory_ Bangalore
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IN-Senior Associate _AI Engineer__ D&A_ Advisory_ Bangalore
Location
Bengaluru Millenia
Experience
Senior
Posted
Jul 7, 2026
Apply by
July 20, 2026
Applicants
0
Early applicantFull-timeWork from Office
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 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.
\*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. "
Responsibilities:
ML Pipeline Design: Design ML pipelines for experiment management, model management, feature management, and model retraining. Design APIs for model inferencing at scale. Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. LLM Serving and GPU Architecture: Possess deep knowledge of GPU architectures. Expertise in distributed training and serving of large language models. Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM.
Model Fine-Tuning and Optimization: Demonstrate proven expertise in model fine-tuning and optimization techniques. Achieve better latencies and accuracies in model results. Reduce training and resource requirements for fine-tuning LLM and LVM models. DevOps and LLMOps Proficiency: Proven expertise in DevOps and LLMOps practices. Knowledgeable in Kubernetes, Docker, and container orchestration. Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph. Skill Matrix LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI
Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery. Cloud Knowledge: AWS/Azure/GCP Dev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert Proficient in Python, SQL, Javascript
Mandatory skill sets: • • Gen AI,LLM, Huggingface, pytho
Preferred Skill Sets:
• Gen AI,LLM, Huggingface, pytho
Years of experience required: 5-8 years Education qualification: B.Tech/MCA/BCA/M.tech
**Education** *(if blank, degree and/or field of study not specified)*
Degrees/Field of Study required: Master of Business Administration
Degrees/Field of Study preferred:
**Certifications** *(if blank, certifications not specified)*
**Required Skills**
JavaScript Object Notation (JSON)
**Optional Skills**
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}
**Desired Languages** *(If blank, desired languages not specified)*
**Travel Requirements**
**Available for Work Visa Sponsorship?**
**Government Clearance Required?**
**Job Posting End Date**
July 20, 2026
Key Responsibilities
- Design ML pipelines for experiment, model, and feature management.
- Design APIs for model inferencing at scale.
- Manage LLM serving and GPU architecture.
- Perform model fine-tuning and optimization to reduce training requirements.
- Implement DevOps and LLMOps practices.
- Manage databases and data warehouses.
- Utilize cloud knowledge for deployment.
Requirements
- Bachelor's degree in Computer Science or related field
- Master's degree in Computer Science or related field
Skills Required
PythonSQLJavaScriptGen AILLMHuggingfaceMLflowSageMakerVertex AIAzure AIKubernetesDockerAWSAzureGCPDynamoDBCosmosMongoDBRDSMySQLPostgreSQLAuroraSpannerGoogle BigQueryDeepSpeedvLLMFlowiseLangflowLanggraphLangchainLLamaIndexAWS BedrockFluentDKibanaGrafanaPrometheusAlteryxBig DataBusiness Data AnalyticsDashboard CreationData CollectionData IntegrationData MiningData ModelingData PipelineAccepting FeedbackActive ListeningAlgorithm DevelopmentAnalytical ThinkingAnalytic ResearchCommunicationComplex Data AnalysisConducting ResearchCreativityCustomer AnalysisCustomer Needs Analysis
Benefits
- Inclusive benefits
- Flexibility programmes
- Mentorship
- Wellbeing support
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