Partner's Consulting, Inc.

About the Company

Partner’s Consulting is the first and only woman-owned project leadership company that helps enterprises meet the changing demands of technology. For over a decade, we have differentiated ourselves with Fortune 500 and 1000 clients that care about great project leadership. We lead large-scale technology projects for corporations filling roles in the 4P’s: Product Management Program Management Portfolio Management Project Management We apply an executive search-style to identify project leaders with the experience, talents and career objectives that fit our clients’ needs, role and culture. Our team stays personally connected throughout the entire project to support both our client and project leader, ensuring their success and satisfaction. We believe that project leadership determines the success or failure of technology projects and products in highly complex corporate environments. With hard work, we’ve built our reputation – mainly on referrals – as a market leader committed to partnering for mutual success.

Listed Jobs

Company Name

Partner's Consulting, Inc.

Job Title

Machine Learning Engineer

Job Description

**Job Title:** Machine Learning Engineer **Role Summary:** Senior-level role focused on designing, developing, and deploying advanced time series forecasting models to drive data-driven business decisions. Requires expertise in machine learning (ML) pipelines, LLM fine-tuning, and team leadership for complex data science projects. **Expectations:** 7–10+ years of proven experience in building end-to-end production ML models, with demonstrated proficiency in time series analysis, statistical modeling, and technical mentorship. **Key Responsibilities:** - Design, develop, and optimize time series forecasting models using business-aligned techniques. - Analyze large time series datasets to identify patterns, seasonality, and anomalies. - Lead ML/LLM operations projects, including model prototyping and applied AI solutions. - Fine-tune large language models and time series algorithms for performance. - Mentor data science/engineering teams and ensure adherence to best practices. **Required Skills:** - Advanced proficiency in scikit-learn and core ML principles (regression, classification, clustering, ensemble methods). - Mastery of the full ML lifecycle: preprocessing, model selection, validation, hyperparameter tuning, and deployment. - Strong ability to communicate technical concepts (e.g., bias-variance tradeoff, gradient boosting) to non-technical stakeholders. - Hands-on coding and model development experience. **Required Education & Certifications:** Not specified.

Philadelphia, United states

Hybrid

11-12-2025