Novac Technology Solutions is seeking a visionary Machine Learning Architect to lead our AI/ML engineering roadmap and drive next-generation intelligent solutions across our FinTech, InsurTech, and enterprise platforms (including ZIVA® and STATIM).As a Machine Learning Architect, you will translate enterprise business requirements into scalable, high-impact ML solutions. You will own our ML framework and MLOps governance, pioneer Generative AI/LLM adoption, and provide technical leadership and mentorship to our team of senior data scientists and ML engineers.

Key Responsibilities 1.

Technical

Architecture & Strategic Leadership

Design, architect, and deliver scalable, secure, and resilient ML/AI solutions for high-throughput enterprise platforms (FinTech lending engines, risk modeling, document AI, and AI-driven learning simulators).

Establish technical standards and architectural blueprints for model building, feature engineering, distributed training, deployment, and real-time inference.

Define and execute the strategy for adopting Generative AI, LLMs, NLP, Vision AI, and Predictive Analytics into core business processes.

- MLOps & Production Governance

Build and mature robust MLOps pipelines to automate model retraining, testing, version control, CI/CD, and continuous monitoring (detecting model drift, bias, and performance drop) in production.

Ensure data security, governance, regulatory compliance, and responsible AI practices (Data privacy, ISO 27001 standards, and BFSI data compliance).

- Team Leadership & Stakeholder Management

Mentor and lead a team of Data Scientists, ML Engineers, and Data Engineers; foster a culture of technical excellence and continuous innovation.

Collaborate closely with Product Managers, Solution Architects, Business Analysts,



and Executive Leadership to translate business needs into technical AI roadmaps.

Drive R&D; initiatives, proof-of-concepts (PoCs), and technology evaluate emerging tools, frameworks, and cloud AI services.

Technical Expertise: ML Solution Architecture: Design enterprise AI/ML architecture

- Define end-to-end ML lifecycle
- Design reusable ML frameworks
- Define model governance standards
- Architect multi-cloud AI solutions
- Define AI security architecture

Machine Learning: Hands-on experience building models for: Classification

- Regression
- Clustering
- Recommendation Systems
- Forecasting
- NLP
- Computer Vision
- Time Series
- Graph ML
- Ranking Models
- Reinforcement Learning (preferred)

Generative AI: Design enterprise Gen AI applications using: Large Language Models (LLMs)

- Retrieval-Augmented Generation (RAG)
- Agentic AI
- Multi-Agent Systems
- Prompt Engineering
- Fine-tuning
- Model Evaluation
- Guardrails
- AI Safety
- MCP (Model Context Protocol)
- Knowledge Graphs

Experience with GPT

- Claude
- Gemini
- Llama
- Mistral
- Qwen
- MLOps: Design and implement - CI/CD for ML
- Model Registry
- Experiment Tracking
- Feature Store
- Data Versioning
- Model Versioning
- Automated Retraining
- Drift Detection
- Monitoring
- Explainability
- Canary Deployment
- A/B Testing
- Blue/Green Deployments
- Data Engineering

Strong knowledge of Data Lakes

- Lakehouse Architecture
- Data Warehouse
- Streaming Pipelines
- Batch Processing
- ETL
- ELT
- Data Governance
- Metadata Management
- Data Quality




- Data Catalog

Cloud: Hands-on experience with one or more cloud platforms like AWS, Azure or Google Cloud

Must know Kubernetes, Docker, Serverless, GPU Infrastructure, Auto Scaling, Distributed Training, Programming

Strong coding skills in Python, SQL, Java or Scala (preferred) and C# (good to have) Also in Libraries like PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, Hugging Face,LangChain, LangGraph, AutoGen, CrewAI and MLflow

Big Data experience with Spark

- Databricks
- Kafka
- Flink
- Airflow
- Ray
- Dask Domain & Leadership Skills:

Robust BFSI domain experience with a proven track record of architecting and leading enterprise-scale ML/AI platforms.

Demonstrated leadership in technical teams, architecture strategy, and delivery, with strong ownership of budgets, cloud infrastructure, and GPU/compute cost optimization.

Excellent executive communication, presentation, stakeholder management, and cross-functional leadership skills, with the ability to translate complex AI/ML concepts into business outcomes.

Required Qualifications & Experience

12+ years of experience across software engineering, data engineering, and advanced analytics, including 5+ years in ML/AI Architecture, Principal Engineering, or equivalent technical leadership roles.

Bachelor’s or Master’s degree (B.E./B.Tech/M.E./M.Tech/M.S.) in Computer Science, Artificial Intelligence, Data Science, or a related quantitative discipline.

Why Join Novac Technology

Solutions?

Opportunity to architect AI models for platforms serving millions of end-users across India and global markets.

Be a key driver in pushing the boundaries of AI innovation in FinTech, & InsurTech, Work in a CMMI Level 5 and ISO 27001 certified technology ecosystem.

📌 Machine Learning Architect (Chennai)
🏢 Novac Technology Solutions
📍 Chennai