Senior ML Engineer

Duration: 2+ Months

Location: PA-Philadelphia, Hybrid 3-4 days onsite

Overview: Every Turnberry consultant belongs to a practice, an internal group of consultants and leaders with shared experience and expertise. Each of these practices aligns to one of the core services Turnberry offers to clients. As a Senior ML Engineer, you will join Turnberry's Data Strategy and Intelligence practice and service. This service provides insights into company data, advanced analytics solutions, robust data governance, and tailored solutions for specific data challenges.

Responsibilities:

Model Deployment and Serving: Design and maintain production ML inference pipelines with focus on reliability, latency, and scalability

Data Engineering: Build and optimize data pipelines using PySpark and Redshift for feature engineering and model training

Local LLM Infrastructure: Deploy, fine-tune, and optimize local LLMs using Ollama and similar frameworks

MLOps: Establish and improve ML workflows using MLflow for experiment tracking, model registry, and deployment automation

Team Leadership: Mentor ML team members, drive technical decisions, and establish engineering best practices

Cross-functional Collaboration: Work closely with SRE team on infrastructure, monitoring, and incident response for ML systems

Qualifications:

5+ years in ML engineering with production deployment experience

Strong Python proficiency

Hands-on experience with MLflow (or equivalent: Kubeflow, SageMaker)

Experience building data pipelines with PySpark

Working knowledge of data warehouses (Redshift preferred)

Experience deploying and serving ML models at scale

Familiarity with containerization and orchestration

Preferred Qualifications:

Experience with local LLM deployment (Ollama, vLLM, llama.cpp)

Background in SRE/DevOps practices for ML systems

Experience with AWS ML services (SageMaker, Bedrock)

Contributions to open-source ML tools

The salary range for this role is $135,000 to $195,000 or the hourly equivalent. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Turnberry Solutions offers benefits such as a comprehensive healthcare package (medical, dental, vision), disability and group term life insurance, health and flexible spending accounts, a utilization bonus, 401(k) with match, flexible time off for salaried employees, parental leave for salaried employees, and flexible work arrangements (all benefits are subject to eligibility requirements). No matter where or when you begin a career with Turnberry, you'll find a far-reaching choice of benefits and incentives.

At Turnberry, inclusion is one of our core values. We are committed to creating a positive and connected work environment for all and are fully invested in and focused on hiring and growing a diverse team of high performers. We believe that uniqueness in ideas, experiences, and backgrounds make us a better Turnberry: Turnberry is an Equal Employment Opportunity employer, and recruits, employs, trains, compensates, and promotes regardless of age, ancestry, family medical or genetic information, gender identity and expression, marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics.

Americans with Disabilities Act (ADA)

Turnberry will provide reasonable accommodation with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please send an email to our Human Resources department at