IN-Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore
PwC India · Bengaluru, Karnataka, India
- On site
- Full-time
- ₹2,000,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Lead AI/ML initiatives with 4-8 years experience.
- Utilize Python, LLM frameworks, and prompt engineering.
- Work with big data, microservices, and cloud platforms.
- Implement MLOps, DevOps, and LLM infrastructure.
- Hybrid work environment in Bangalore.
About the role
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
Skills & topics
- AI/ML Engineer
- Artificial Intelligence
- Machine Learning
- Python
- LLM
- Generative AI
- Prompt Engineering
- Data Science
- Spark
- DevOps
- MLOps
- Cloud Computing
- Microservices
- Hugging Face
- LangChain
- AWS
- GCP
- Azure
- Kubernetes
- FastAPI
How to get hired
- 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.
Technical preparation
Master Python, including data science libraries.,Practice LLM frameworks and prompt engineering.,Familiarize with Spark and big data concepts.,Review cloud services and MLOps principles.
Behavioral questions
Describe a complex AI/ML problem you solved.,How do you stay updated with AI advancements?,Explain your experience with cross-functional teams.,How do you handle project ambiguity or changes?
Frequently asked questions
- What are the core responsibilities of an AI/ML Engineer at PwC India?
- As an AI/ML Engineer at PwC India, you will focus on designing, developing, and implementing advanced AI and ML solutions. This includes optimizing algorithms, building LLM-powered applications like chatbots and recommendation systems, and working with big data, microservices, and cloud infrastructure.
- What technical skills are essential for the AI/ML Engineer role at PwC India?
- Essential technical skills include advanced Python proficiency, experience with LLM frameworks (Hugging Face, LangChain), prompt engineering, big data processing with Spark, DevOps (Terraform, Kubernetes), MLOps, and cloud platforms (AWS, GCP, Azure).
- What is the expected experience level for this AI/ML Engineer position at PwC India?
- PwC India is seeking candidates with 4-8 years of relevant experience in AI/ML or a related field. A deep understanding of the ML and LLM development lifecycle, including fine-tuning and evaluation, is crucial.
- Does PwC India offer a hybrid work arrangement for AI/ML Engineers?
- Yes, this AI/ML Engineer position at PwC India offers a hybrid work environment, providing flexibility and opportunities for collaboration.
- What are the preferred qualifications for an AI/ML Engineer at PwC India?
- Prior experience in industries that heavily leverage AI/ML technologies is considered advantageous. A strong educational background in B.Tech, M.Tech, MCA, or MBA is also preferred.
- How can I best prepare my resume for the PwC India AI/ML Engineer application?
- To prepare your resume for the PwC India AI/ML Engineer role, emphasize your advanced Python skills, experience with LLM frameworks like Hugging Face Transformers and LangChain, prompt engineering expertise, and any experience with big data, microservices, and cloud platforms. Quantify your achievements where possible to demonstrate impact.
- What kind of AI/ML projects might I work on at PwC India?
- At PwC India, AI/ML Engineers often work on developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. You'll also be involved in fine-tuning models, feature engineering, and implementing RAG systems.
- What does PwC India look for in terms of soft skills for this role?