143 applicantsPosted by Agency

Company

Original Job Post

INSPYR Solutions · 3 days ago

Senior Machine Learning Engineer

Milwaukee, WI

Full-time

Onsite

Senior Level

$130K/yr - $180K/yr

5+ years exp

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Responsibilities

Define standards for platform architecture, MLops, data quality, and governance.

Build advanced ML models (behavior segmentation, churn prediction, purchase propensity, r-causal inference etc).

Influence Company's approach to AI, directing and guiding the technology landscape.

Transform data into actionable insights that drive growth and innovation.

Co-architect Company's next gen cloud data analytics platform and infuse it with state-of-the-art ML capabilities.

Implement and fine-tune ML algorithms (supervised, unsupervised, deep learning).

Contribute to data engineering, modeling, and dashboard development.

Manage the software development lifecycle (SDLC) for ML models (deployment, monitoring, optimization)

Establish continuous integration and continuous delivery (CI/CD) pipelines for model updates.

Build retrieval-augmented generation (RAG) architecture based large language models (LLM) applications.

Monitor and maintain the health of solutions generated.

Provide task breakdowns, identify dependencies, and provide effort estimates.

Evaluate the latest technology trends that align with Company opportunities.

Develop proof-of-concept prototypes.

Develop positive relationships with clients, stakeholders, and internal teams.

Understand business goals, drivers, context, and processes to suggest technology solutions that provide innovation for the organization.

Work collaboratively on creative solutions with Engineers, Product Managers and Analysts in an agile work environment.

Work alongside a team of passionate professionals, sharing knowledge and fostering a culture of continuous learning and improvement.

Perform, design, and code reviews.

Perform other position-related duties as assigned.

Qualification

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Data EngineeringData QualityData ModelingMachine LearningData ScienceMLOpsStatistical ModelsPredictive ModelsClassification ModelsClustering ModelsSoftware DevelopmentRequirements GatheringConstructionTestingSoftware Development MethodologiesSDLCAgileSCRUMLLM ApplicationsRAG ArchitectureLangChainLlamaIndexPythonSQLData Manipulation LibrariesPandasNumPy/B TestingRESTful APIsData Science Trends

Required

Bachelor's degree in computer engineering, computer science, data science, or related field

Five years or more of work experience in data engineering, data quality, or data modeling

Three years or more of work experience in machine learning, data science, MLOps or related roles (statistical, predictive, classification, clustering models)

Experience working with all core software development activities, including requirements gathering, design, construction, and testing

Experience with formal software development methodologies, including SDLC, Agile or SCRUM

Experience building LLM applications using RAG architecture, LangChain, and LlamaIndex

Knowledge of Python, SQL, and data manipulation libraries (Pandas, NumPy)

Knowledge of engineering and A/B testing

Knowledge and understanding of RESTful APIs

Knowledge of current data science trends, best practices, and standards