Job Description
Our team is seeking a visionary leader to drive the development and deployment of cutting-edge machine learning models and data-driven solutions across our organization. This role blends hands-on engineering expertise with strategic leadership, focusing on building scalable systems, guiding model lifecycle management, and unlocking business value through AI innovation.
Key Roles and Responsibilities:
1. Lead cross-functional AI/ML initiatives from concept to production, including experimentation, deployment, and monitoring.
2. Define and evolve the AI/ML strategy in alignment with business goals and ethical AI practices.
3. Mentor and grow a team of data scientists, machine learning engineers, and analysts.
4. Serve as a technical advisor to executives on AI strategy, model risk, and innovation opportunities.
Model Development & Engineering
Design, build, and optimize ML models using Python, TensorFlow, PyTorch, Scikit-learn, or similar frameworks. Architect scalable data pipelines and model serving infrastructures on cloud platforms (AWS, GCP, Azure). Implement ML Ops best practices: CI/CD for models, version control, reproducibility, monitoring, and retraining. Conduct model performance analysis, A/B testing, and error diagnostics to ensure business impact and fairness.
Data Science & Insights
Develop predictive, descriptive, and prescriptive models for real-time and batch use cases. Collaborate on experiment design, causal inference, and hypothesis testing. Drive data storytelling and actionable insight delivery through dashboards and stakeholder engagement.
Governance & Responsible AI
Ensure AI systems are explainable, transparent, and compliant with regulatory or internal policies. Champion fairness, bias mitigation, and human-centered AI principles.
Education & Required Qualification:
* 6+ years of experience in data science, machine learning, or applied AI roles.
* Advanced proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and at least one deep learning framework.
* Experience leading teams and projects involving production-grade ML systems.
* Strong understanding of statistics, experimental design, and optimization techniques.
* Familiarity with cloud-based ML tools (e.g., SageMaker, Vertex AI, Azure ML) and big data platforms (e.g., Spark, Databricks).
Benefits:
Work in a supportive, innovation-driven culture with cutting-edge infrastructure. Influence product and platform strategy while mentoring the next generation of AI talent. Lead high-impact AI initiatives that shape the future of our business.