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.