Sr. BI/DW Engineer

Job description
Compucom Systems, Inc. provides end-to-end IT managed services to enable the digital workplace for enterprise, midsize and small businesses. To enable our clients to focus on what matters most, we employ a customer-centric, hard-working, and talented group of people that Act Like an Owner, Do the Right Thing, and Have Fun Doing It! We're looking for a Sr. Engineer to join our team.
The Sr. Engineer will design, develop, and maintain BI/ML/AI solutions that empower data-driven decision-making across the organization. You will work closely with cross-functional teams, translating business needs into technical specifications and building intuitive data models using industry-leading BI tools like Power BI and Qlik. . Your contributions will be essential in turning complex data into actionable insights and powering our data-driven decision-making processes.
Key Responsibilities:
- Develop, test, and deploy machine learning models for various use cases such as MACD's, Enterprise Defects within operations, etc..
- Work with large datasets and perform data preprocessing, feature engineering, and model selection.
- Collaborate with engineers, and product teams to define and deliver high-quality AI solutions.
- Implement machine learning pipelines for scalable model training and inference.
- Tune and optimize models for performance and efficiency, including hyperparameter tuning, model evaluation, and validation.
- Build robust and scalable BI solutions that facilitate data-driven decision-making processes across departments.
- Partner with business analysts, department heads, and other stakeholders to gather business requirements and translate them into detailed technical specifications.
- Create and maintain data models, ensuring data accuracy, consistency, and optimization across BI tools like Power BI and Qlik.
Required Skills and Qualifications:
- Bachelor's in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).
- 2-4 years of experience working in machine learning, data science, or related roles.
- Proficiency in programming languages such as Python, R, or Java Script
- Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with deep learning architectures and techniques (e.g., CNNs, RNNs, transformers).
- Solid understanding of algorithms, data structures, and model evaluation methods.
- Experience working with data manipulation libraries like NumPy, pandas, and data visualization tools (e.g., Matplotlib, Seaborn).
- Proficiency in cloud platforms (e.g., AWS, GCP, Azure, Snowflake) and containerization tools (Docker, Kubernetes) is a plus.
- Expertise in AI and machine learning to drive innovative solutions and enhance business operations through Agentic AI technologies
- Proven experience as a BI Developer or in a similar data-focused role.
- Proficiency in BI tools such as Power BI or Qlik.
- Experience working with cross-functional teams to capture business requirements and translate them into actionable technical solutions.
- Strong analytical and problem-solving skills, with attention to detail.
- Excellent communication skills, with the ability to simplify complex technical concepts for non-technical stakeholders.
Preferred Qualifications:
- Experience in deploying machine learning models into production environments.
- Experience in Generative AI (open AI, Anthropic, Bedrock, Gemeni, Azure Open AI)
- Familiarity with distributed computing frameworks like Spark or Dask.
- Knowledge of MLOps practices and model versioning tools (e.g., MLflow, DVC, Kubeflow).