- Location
- Hybrid/Fort Lauderdale - Full-Time · White Plains, New York, United States
- Workplace
- Hybrid
- Department
- 5120-Staff Augmentation
- Seniority
- Senior
- Experience
- 6+ years
- Visa
- Not sponsored
- Source
- Greenhouse
Description
Summary
The role of the Senior Python Engineer is to design, develop, and deploy machine learning solutions that transform data into actionable insights, while ensuring scalability, performance, and integration into production systems. This role focuses on building and operationalizing machine learning models, supporting end-to-end data workflows, and integrating AI capabilities into broader application ecosystems. The individual will work closely with engineering and data teams to deliver reliable, production-ready solutions.
Key Responsibilities
- Develop and maintain machine learning models using Python, leveraging techniques such as regression, classification, clustering, and ensemble methods
- Design and deploy scalable AI/ML solutions utilizing deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
- Perform data preparation activities including cleansing, transformation, and feature engineering to support model accuracy
- Evaluate model performance and iterate to improve reliability and predictive outcomes
- Build and integrate RESTful APIs (e.g., Flask, FastAPI) to enable model consumption within applications
- Collaborate with cross-functional teams to embed ML solutions into production environments
Required Qualifications
- 6-8 + years of experience in Python-based development roles and AI/ML
- Strong proficiency in Python and core data science libraries such as NumPy, Pandas, and Scikit-learn
- Hands-on experience implementing machine learning and deep learning models in real-world applications
- Solid understanding of data engineering concepts, including preprocessing, feature engineering, and model evaluation techniques
- Experience working with SQL or NoSQL databases
- Familiarity with version control systems (e.g., Git) and collaborative development practices
Additional / Preferred Skills
- Experience deploying models into production environments
- Familiarity with scalable ML pipelines and MLOps concepts
- Exposure to cloud-based AI/ML services (AWS, Azure, GCP)
Location
- This role is a Hybrid role that requires candidate to go onsite 3 days in office/2 days remote. Candidates are preferred in Fort Lauderdale, FL. Candidates must reside within the physical US.
- Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa currently.
- To be considered for this position, candidates must reside in one of the following U.S. states: FL.
- Candidates residing outside these states are not eligible for consideration currently.
- Not open to 3rd party/C2C engagement
We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate’s experience, skills, education, work location, and internal equity.
In addition to hourly pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc.
FormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms.
FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.
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