We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
What You’ll DoModeling and Experimentation
- Design, train, and evaluate models using Python and established ML frameworks
- Explore large datasets in BigQuery and create well-structured feature sets
- Work with experimentation methods such as A/B testing, uplift modeling, or time-series validation
- Select appropriate algorithms and explain tradeoffs with clarity
Data Exploration and Feature Engineering
- Write advanced SQL in BigQuery for profiling, feature creation, and hypothesis testing
- Develop and manage feature pipelines in partnership with data engineers
- Document features, assumptions, and data logic so analysts and engineers can rely on your work
Productionization and Operationalization
- Collaborate with ML engineers or data engineers to integrate models into production workflows
- Use GCP tools such as Vertex AI Workbench or Cloud Storage for training data, models, and artifacts
- Participate in deployment planning, batch inference cycles, and performance monitoring
- Apply model validation, drift detection, and retraining processes
Cross-Functional Impact
- Partner with product, analytics, and engineering teams to define problem statements
- Communicate findings through clear visualizations, narratives, and presentations
- Mentor junior team members in modeling practices, experimentation design, and data science fundamentals
- Help refine best practices for feature management, documentation, and model evaluation
Technical Expertise
- Strong experience with Python and libraries such as pandas, numpy, scikit-learn, TensorFlow, JAX, or PyTorch
- Advanced SQL proficiency with comfort working inside BigQuery
- Experience using Vertex AI Workbench or other notebook environments on GCP
- Experience designing and evaluating ML models across structured datasets
- Understanding of feature engineering principles for both supervised and unsupervised methods
- Familiarity with model deployment patterns such as batch inference or endpoint-based prediction
Analytical Depth
- Experience designing experiments and interpreting results using sound statistical methods
- Strong ability to reason about data quality, sampling, leakage, and bias
- Clear approach to model selection and validation across varied business contexts
Professional Skills
- Ability to explain complex concepts to non-technical partners
- Steady ownership of end-to-end model delivery
- Curiosity and initiative that drives thoughtful problem solving
- Advanced English proficiency (B2+)
- Experience with Vertex AI model training, model registry, or Feature Store
- Familiarity with orchestration contexts such as Composer or Airflow
- Experience using BigQuery ML for rapid prototyping
- Understanding of modern ML Ops approaches
- Exposure to event-driven feature pipelines using Pub/Sub
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Top Skills
What We Do
For more than 20 years, Exadel has been delivering Digital Transformation services, enterprise and custom software solutions for Fortune 500 clients, including HPE, Deloitte, Home Depot and McKesson. With 20+ locations and delivery centers across the US and Europe, Exadel solves the most complex engineering problems using Agile methodologies, offering a scalable and skilled mix of multi-shore resources at the industry's most competitive price. Exadel’s digital transformation solutions and services help chart new strategies that are built upon creative thinking, cutting-edge design, and technical innovation, designed for the growing digital landscape of business.
Enterprise Services
- Digital Transformation Experts
- Developing mission-critical software and mobile applications
- Advising companies on how best to leverage open source technology
- Helping companies plan and implement migrations to better technology stacks
- Providing QA, automation, and testing services for application development
- Supporting and maintaining applications and systems for companies
- Providing on-line training and mentoring to companies
- Assisting companies in evaluating their current enterprise software architecture and planning for improvements or new systems.







