Engineer Lead, Artificial Intelligence / Machine Learning
- FIS
- 10 - 15 years
- Pune
- 15 days ago
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Job Description
Engineer Lead, Artificial Intelligence / Machine Learning ( Data Scientist)
About the team
The Client OFfice AI/ML CoE team is a horizontal CoE for Client Office that is helping us drive revenue and bring significant savings to our businesses by identifying, exploring, and implementing AI/ML solutions.
The Client Office is one of the three verticals in FIS. It has various products and solutions in funds management, cleared derivatives, commercial lending, corporate treasury, insurance risk electronic trading, RegTech, wealth and retirement etc.
The team consists of highly motivated solution architects, data scientists and ML engineers.
What you will be doing
As a Data Scientist, you will be working on developing cutting-edge Gen AI and Agentic solutions across the organization.
What you bring:
Knowledge / Experience
- 10+ years of overall experience with 4+ years on AI/Gen AI/Agentic AI
- Strong experience in statistical analysis, experimentation, and datadriven problem solving
- Designing and developing endtoend ML models from data exploration to production deployment
- Handson experience building:
- Predictive models
- Classification and regression models
- Clustering & segmentation
- Timeseries forecasting
- Optimization models
- Expertise in feature engineering, data preprocessing, and handling large, messy, realworld datasets
- Experience with ML lifecycle: model training, validation, evaluation, monitoring, and retraining
- Ability to work with big data ecosystems (Spark, Hadoop, Databricks, EMR, or similar)
- Experience operationalizing ML using REST APIs, batch jobs, or cloud AI/ML services
- Understanding of MLOps concepts (CI/CD for ML, model versioning, model drift, monitoring)
- Experience working in cloud environments (AWS, GCP, Azure)
Skills
- Strong proficiency in Python, including scientific and ML libraries:
- pandas
- NumPy
- scikitlearn
- TensorFlow / PyTorch
- Statsmodels
- Strong understanding of statistics, probability, hypothesis testing, and experiment design (A/B tests)
- Handson experience with SQL and working with relational & NoSQL databases
- Ability to translate ambiguous business problems into clear analytical solutions
- Strong data visualization skills using:
- Matplotlib / Seaborn
- Plotly
- Power BI / Tableau (optional)
- Experience building reusable analytical pipelines and automation frameworks
- Understanding of feature stores, data pipelines, and production ML patterns
- Ability to communicate insights clearly to business and technical team.
Nice to Have
- Experience with LLMbased analytics, embeddings, or GenAI for data workflows
- Familiarity with AutoML platforms (H2O, DataRobot, SageMaker Autopilot, Vertex AI, etc.)
- Exposure to Graph ML, NLP, or Computer Vision
- Knowledge of Reinforcement Learning or causal inference
- Strong domain knowledge in BFSI, risk modeling, fraud detection, or customer analytics (if applicable)
Qualifications
Bachelors degree in engineering or related field or the equivalent combination of education, training, or work experience
Competencies
- Fluent in English
- Excellent communicator ability to discuss technical and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion.
- Attention to detail track record of authoring high quality documentation.
- Organized approach manage and adapt priorities according to client and internal requirements.
- Self-starter but team mindset - work autonomously and as part of a global team
What we offer you
- A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
- A broad range of professional education and personal development possibilities FIS is your final career step!
- A competitive salary and benefits
- A variety of career development tools, resources and opportunities
Job Classification
Industry: BPM / BPOFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: FISLocation(s): Pune
Keyskills: data scientist python forecasting ai numpy machine learning artificial intelligence nosql sql reinforcement learning tensorflow nlp spark treasury regression computer vision pytorch big data
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