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.

2. 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).

3. 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# (positive 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:

- Strong 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