Ai/ml

**Artificial Intelligence /Machine Learning**
**_WorkMode :Hybrid_**
**_Work Location : Chennai / Hyderabad /_**
**_Work Timing : 2 PM to 11 PM_**
**_Primary : Artificial Intelligence_**

Job Summary:
We are seeking a visionary and technically skilled AI Lead to drive the adoption and development of Artificial Intelligence solutions in the financial services domain. This role will lead the design, development, and implementation of machine learning (ML), deep learning (DL), generative AI and Agent AI solutions that improve decision-making, enhance risk management, and deliver intelligent automation across business functions.
Lead the development of AI/ML strategies aligned with business goals in areas like credit risk, fraud detection, customer insights, algorithmic trading, and compliance automation.
Identify AI opportunities within financial products and services and build a roadmap to deliver value.
Develop and deploy predictive models for credit scoring, risk analytics, customer segmentation, and forecasting.
Implement NLP-based solutions for document processing, sentiment analysis, chatbots, and regulatory reporting.
Use advanced AI techniques including deep learning, reinforcement learning, and LLMs to build next-gen financial intelligence systems.
Lead and mentor a team of data scientists and machine learning engineers.
Foster collaboration with internal stakeholders including product, compliance, and IT.
Drive innovation by staying ahead of industry trends in AI, FinTech, and RegTech.
Explore and prototype generative AI/Agent AI use cases for financial advisors, reporting automation, or intelligent document analysis.
Bachelors or Masters Degree in Computer Science, Statistics, Machine Learning, or related field.
Hands-on experience in building and deploying Generative AI models and Agent AI systems.
7+ years of experience in AI/ML, with at least 2 years in a leadership role.
Deep understanding of supervised and unsupervised learning, NLP, time-series modeling, and deep learning.
Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost).
Experience working with financial datasets (e.g., transaction data, market data, customer data).
Hands-on experience with MLOps and deploying models into production environments (e.g., using AWS, Azure ML, or GCP).
Secondary Skills:
Experience with financial risk modeling, credit scoring systems, or fraud detection engines.
Familiarity with tools like Snowflake, Databricks, SAS, Bloomberg, or FICO.
Knowledge of financial regulatory requirements and risk frameworks.
Experience integrating AI solutions into financial workflows or trading systems.
Published work or patents in financial AI or applied machine learning.

**About Virtusa**

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.