Machine Learning Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Builds & maintains machine learning and big data production pipelines to support advanced analytics, data science, and AI/ML solutions. Collaborates closely with data and ML scientists to define data for the design, development, and deployment of new solutions that support strategic business priorities.

Job Responsibilities

• Develops software that processes, stores and serves data and machine learning models for use by others.
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and intelligence to support business needs.
• Writes ETL (Extract / Transform / Load) or ELT processes, designs data stores and develops tools for real-time and offline analytic processing on premise or on cloud infrastructure.
• Develops data and ML pipelines that are scalable, repeatable and secure
• Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
• Effectively resolves problems and roadblocks as they occur
• Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.

Basic Qualifications

• Bachelor's degree and at least 2 years of experience in machine learning, software engineering, or data engineering OR a Graduate Degree in a technical discipline
• Advanced knowledge of SQL
• Experience programming in at least one of the following: Python, C, C++, Spark, Scala, and/or Java
• Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.
• Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.
• Willing to travel up to 10% of the time for business purposes (within state and out of state).