Machine Learning Engineer analyzing data structures and developing ML models for customer profiling in Azerbaijan. Collaborating on probabilistic modeling and data quality improvement.
About the role
- Designing and operating cloud-based MLOps capabilities supporting analytical and generative AI models. Collaborating with data science and business teams for high-impact AI solutions.
Responsibilities
- Design, build, and operate cloud-based MLOps capabilities that support the full lifecycle of analytical and generative AI models
- Blend machine learning engineering, data engineering, and software engineering with a focus on automation, scalability, governance, and production readiness
- Work with technologies such as MLflow, Databricks, Azure Machine Learning, CI/CD pipelines, containerization, and event-driven architectures
- Partner closely with data science, IT, and business teams to deliver secure, compliant, and high-impact AI solutions
Requirements
- 2-4 years as Data Scientist or machine learning engineer or similar quantitative field required
- High School Diploma or equivalent required
- Master’s Degree in the field of Computer Science/Engineering, Analytics, Mathematics, or related discipline preferred, PhD preferred
- Proven hands-on experience across the full ML/MLOps lifecycle, including MLflow and platforms such as Databricks, Azure ML, or SageMaker
- Experience operationalizing GenAI solutions, including LLM patterns (e.g., RAG), prompt/version management, evaluation, safety, and monitoring
- Strong software and cloud engineering fundamentals, including CI/CD, containerization (Docker), and Kubernetes (AKS)
- Experience with event-driven and streaming architectures and modern cloud-native design patterns
- Advanced skills with Python, SQL, and large-scale data platforms (e.g., Spark, Delta, lakehouse architectures)
- Ability to clearly communicate technical trade-offs and connect AI delivery to business and financial outcomes.
Benefits
- Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
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