IN_Senior Associate_ AI/ML Engineer...

PwC is seeking an experienced Data Scientist (AI/ML) with 4-8 years of experience specializing in Artificial Intelligence (AI) and Machine Learning (ML) to join our Advisory team in Bangalore. This role offers a hybrid work environment. You will play a pivotal role in shaping and leading AI/ML initiatives, focusing on leveraging advanced technologies to design and develop robust data solutions for clients, transforming raw data into actionable insights.

Key responsibilities include:

• Advanced proficiency in Python, and familiarity with Go or Rust.
• Extensive experience with LLM frameworks like Hugging Face Transformers and LangChain, including prompt engineering.
• Experience with big data processing using Spark for large-scale data analytics.
• Version control and experiment tracking using Git and MLflow.
• Software Engineering & Development: Expertise in microservices, test-driven development, and concurrency processing.
• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh.
• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms (vLLM, FastAPI), model quantization, and vector database management.
• MLOps & Deployment: Containerization for ML workloads, model serving tools (TorchServe, TF Serving), and automated model retraining.
• Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.
• LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and LLM optimization.
• General Skills: Python, SQL, machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and cloud platforms (AWS, GCP).
• Experience in creating LLD for provided architecture and working in microservices-based architectures.

Required Skills:

• At least 4+ years of total and relevant experience in AI/ML or a related field.
• Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation.
• Expertise in feature engineering, embedding optimization, and dimensionality reduction.
• Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing.
• Experience with RAG systems, vector databases, and semantic search implementation.
• Proficiency in LLM optimization techniques including quantization and knowledge distillation.
• Understanding of MLOps practices for model deployment and monitoring.

Preferred Qualifications:

• Prior experience in industries leveraging AI/ML technologies would be advantageous.

Mandatory skill sets:

GenAI / LLM Engineers (Python, FastAPI, Microservices, K8s, RAG, VectorDBs)

Preferred skill sets:

• AI/ML
• Machine Learning
• GEN AI
• Agentic AI

Education qualification:

B.Tech / M.Tech / MCA/MBA