Sr. Bi / Dw Engineer

Overview

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.

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.

Skills & 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.

Snowflake experience

DBT Experience

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).

Experience with NLP, computer vision, or time-series forecasting is a plus.

CompuCom is committed to providing equal employment opportunities in all employment practices.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, citizenship status, marital status, age, disability, protected veteran status, genetic information, sexual orientation, gender identity or expression, or any other status protected by law.

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