Job Overview
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Job Description
About the Role
We are seeking an experienced Data Scientist (AI/ML) with over 4-8 years of experience specializing in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. This is a position with a hybrid work environment, providing flexibility and collaboration opportunities. The successful candidate will play a pivotal role in shaping and leading AI/ML initiatives within our organization.
Responsibilities
- Advanced proficiency in Python.
- Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques.
- Experience with big data processing using Spark for large-scale data analytics.
- Version control and experiment tracking using Git and MLflow.
- Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, 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 implementations.
- LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.
- MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or 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 optimizing LLMs for performance and security.
- General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.
- Experience in creating LLD for the provided architecture.
- Experience working in microservices based architecture.
Required Skills
- At least 4+ years of total & 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
Years of Experience Required
Experience: 4-8 Years
Education Qualification
B.Tech / M.Tech / MCA/MBA
Key Skills/Competency
- AI/ML Engineering
- Python
- LLM Frameworks
- Prompt Engineering
- Big Data Processing (Spark)
- DevOps
- Cloud Platforms (AWS, GCP, Azure)
- Microservices
- MLOps
- Generative AI
How to Get Hired at PwC India
- Tailor your resume: Highlight AI/ML, Python, LLM, and MLOps skills. Quantify achievements with data.
- Showcase relevant projects: Detail experience with chatbots, recommendation systems, or optimization.
- Prepare for technical interviews: Brush up on Python, ML algorithms, cloud, and DevOps concepts.
- Understand PwC's culture: Research their focus on trust, innovation, and client impact.
- Network strategically: Connect with PwC AI/ML professionals on LinkedIn for insights.
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