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About the Role
Provide technical direction and oversight to a team of ML and AI engineers, owning overall ML/AI product vision, including platform and ops, for 3-5 concurrent client models. Translate local models into robust enterprise grade products, set ML roadmap from Pricing Score through Revenue Assistant Agent. Lead the design, development, and deployment of AI and machine learning solutions across the PureFacts platform. This role sits at the intersection of data science, engineering, and product, driving the integration of AI into core products and internal processes. Advance PureFacts’ AI-first strategy, building scalable solutions that automate workflows, reduce operational friction, and enhance client outcomes. Identify opportunities to replace manual processes with intelligent automation and deliver AI capabilities that create measurable business impact.
Responsibilities
- Champion PureFacts’ AI-first approach, embedding AI across products, workflows, and internal operations
- Identify and prioritize opportunities to eliminate manual, repetitive, and low-value work through automation
- Partner with Product and Leadership to define AI initiatives that improve efficiency, scalability, and decision-making
- Drive adoption of AI capabilities that enable teams and clients to focus on higher-value activities
- Design, build, and deploy machine learning and AI-driven solutions in production environments
- Develop capabilities such as predictive analytics and forecasting, intelligent automation of reporting and data workflows, NLP and generative AI for insights and client communication, and anomaly detection in financial and operational data
- Ensure solutions deliver tangible efficiency gains and measurable business outcomes
- Establish best practices for MLOps, model lifecycle management, and deployment pipelines
- Build scalable systems that support continuous learning, monitoring, and optimization
- Implement automation in model deployment, testing, and performance tracking
- Leverage cloud platforms (Azure-based) to scale AI capabilities efficiently
- Collaborate with data engineering teams to ensure high-quality, accessible data pipelines
- Integrate AI capabilities into PureFacts’ SaaS platform and client-facing products
- Enable seamless delivery of AI-powered features through APIs and microservices architecture
- Lead and mentor a team of machine learning engineers and data scientists
- Foster a culture of innovation, experimentation, and continuous improvement
- Encourage the use of AI tools and automation to improve team productivity and output
- Partner with Product, Engineering, and Client teams to translate AI capabilities into real-world value
- Help stakeholders identify opportunities to streamline processes and reduce manual effort
- Communicate AI strategy and outcomes clearly to both technical and non-technical audiences
- Ensure AI solutions adhere to data privacy, security, and regulatory requirements
- Implement responsible AI practices, including bias detection and mitigation, model explainability, and transparency and auditability
Requirements
- 8-10 yrs ML engineering experience, including MLOps (model registries, feature stores, retraining pipelines)
- Experience in SaaS, fintech, or data-driven environments
- Proven track record of delivering production AI solutions that drive efficiency or automation
- Experience leading or mentoring technical teams
- Strong programming skills in Python
- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with data pipelines (SQL, Spark)
- Experience with APIs and microservices
- Experience with cloud platforms (AWS, Azure, GCP)
- Familiarity with MLOps tools and automation frameworks
- Strong focus on using AI to drive efficiency and eliminate manual work
- Experience implementing automation and intelligent workflows
- Familiarity with LLMs and generative AI tools is highly preferred
- Ability to lead complex technical initiatives and influence stakeholders
- Strong communication skills, with the ability to translate AI into business value
- Experience working in agile, fast-paced environments
- People management experience a plus
Skills
- MLOps
- model registries
- feature stores
- retraining pipelines
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- SQL
- Spark
- APIs
- microservices
- AWS
- Azure
- GCP
- LLMs
- generative AI
Experience Level
- 8-10 years ML engineering experience
Education Level
- Degree in Computer Science, Data Science, Engineering, or related field
- Advanced degree preferred but not required
About the Company
- PureFacts is advancing an AI-first strategy.