IN_Senior Associate_GEN AI_Emerging Businesses_Advisory_Bangalore
Job Description
- Experience in finetuning models.
- Experience in SLM.
- Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex.
- RAG (Retrieval-Augmented Generation).
- Vector DBs (FAISS, Pinecone, Weaviate).
- Streamlit/Gradio for prototyping.
- Docker, Kubernetes (for model deployment).
- Data preprocessing & feature engineering.
- NLP libraries: spaCy, NLTK, Transformers.
- Design, build, and deploy generative AI solutions using LLMs.
- Fine-tune and customize foundation models using domain-specific datasets.
- Develop and optimize prompt engineering strategies.
- Implement model pipelines using Python and ML frameworks.
- Agentic AI implementation expertise using Crew.ai or LangChain.
- Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms.
- Ensure robustness, scalability, and compliance of AI models.
- Integrate GenAI into enterprise applications via APIs.
- Evaluate model performance using quantitative and qualitative metrics.
- Keep up to date with the latest research in GenAI.
- Proficiency in Generative AI (LLMs, Transformers).
- Expertise in Python, PyTorch, Hugging Face Transformers.
- Experience with Azure/AWS/GCP cloud platforms.
- Knowledge of LangChain/Langgraph or similar orchestration frameworks.
- Skills in REST APIs, FastAPI, Flask.
- Familiarity with ML pipeline tools (MLflow, Weights & Biases).
- Proficiency in Git, CI/CD for ML.
- Reward contributions
- Support wellbeing
- Inclusive benefits
- Flexibility programmes
- Mentorship
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Emerging Technologies
Management Level
Senior Associate
Job Description & Summary
At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
In emerging technology at PwC, you will focus on exploring and implementing cutting-edge technologies to drive innovation and transformation for clients. You will work in areas such as artificial intelligence, blockchain, and the internet of things (IoT).
Job Description & Summary: We are seeking a highly skilled and innovative GenAI Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable Generative AI solutions using state-of-the-art large language models (LLMs) and transformer architectures. This includes building intelligent applications, orchestrating model workflows, and integrating GenAI capabilities into enterprise systems. This role demands deep expertise in Python, PyTorch, and Hugging Face Transformers, along with hands-on experience in deploying solutions on Azure, AWS, or GCP. The candidate should be proficient in using orchestration frameworks like LangChain, developing APIs with FastAPI or Flask, and managing ML pipelines using tools such as MLflow or Weights & Biases. Familiarity with CI/CD practices for ML, including platforms like Azure ML or SageMaker Pipelines, is essential.
Responsibilities:
- Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon).
- Fine-tune and customize foundation models using domain-specific datasets and techniques
- Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses.
- Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain.
- Agentic AI implementation expertise using Crew.ai or Lang chain
- Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP).
- Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex
- Ensure robustness, scalability, and compliance of AI models in deployment environments.
- Good to have experience in finetuning models
- Good to have experience in SLM
- Integrate GenAI into enterprise applications via APIs or custom interfaces.
- Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.
- Keep up to date with the latest research in GenAI, foundation models, and relevant open-source tools.
Mandatory skill sets:
- Generative AI (LLMs, Transformers)
- Python, PyTorch, Hugging Face Transformers
- Azure/AWS/GCP cloud platforms
- LangChain/Langgraph or similar orchestration frameworks
- REST APIs, FastAPI, Flask
- ML pipeline tools (MLflow, Weights & Biases)
- Git, CI/CD for ML (e.g., Azure ML, SageMaker pipelines)
Preferred skill sets:
- RAG (Retrieval-Augmented Generation)
- Vector DBs (FAISS, Pinecone, Weaviate)
- Streamlit/Gradio for prototyping
- Docker, Kubernetes (for model deployment)
- Data preprocessing & feature engineering
- NLP libraries: spaCy, NLTK, Transformers
Years of experience required:
4 to 8 years
Education qualification: B.E/B.tech/M.tech/MCA
Education
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering
Required Skills
Generative AI
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BW-BPS), Communication, Competitive Advantage, Conducting Research, Creativity, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Learning Agility, Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management {+ 10 more}
