Assistant Manager – Incentive Processing Unit, Retail Banking Group
Mashreq
Lead Assistant Manager
EXL
full-time
Posted on:
Location Type: Hybrid
Location: Bengaluru • 🇮🇳 India
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow
About the role
- Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users.
- Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents.
- Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications.
- Build robust MLOps pipelines for end-to-end lifecycle management of models—training, testing, deployment, and monitoring.
- Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms.
- Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality.
- Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related fields.
- 5+ years in ML engineering, applied AI, or data scientist roles.
- Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers.
- Deep experience with NLP, Transformer models, and generative AI techniques.
- Hands-on experience deploying AI models to concurrent users with high throughput and low latency.
- Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
- Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG).
- Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningAI systemsreal-time inferenceMLOpsPythonPyTorchTensorFlowNLPTransformer modelsgenerative AI
