À propos
Newark, NJ (Hybrid) Contract $60/hour
Design, develop, and deploy cutting-edge machine learning and generative AI solutions that power innovation and business transformation.
A leading technology services firm is seeking an experienced
Machine Learning Engineer
to architect and implement advanced ML and AI-driven solutions. This role combines hands-on engineering with leadership, requiring deep technical expertise in model development, deployment, and optimization. The ideal candidate will bring a strong command of modern ML frameworks, cloud platforms, and generative AI tools like LangChain and RAG.
This position is
hybrid
and open to
local candidates only .
Position Overview
The Machine Learning Engineer will lead the end-to-end lifecycle of machine learning initiatives-from data pipeline design to production deployment-while collaborating across data science, engineering, and business teams. This is a high-impact role at the intersection of AI innovation, scalable architecture, and applied data science, ideal for engineers passionate about operationalizing ML solutions at scale.
Key Responsibilities Lead and execute
machine learning projects
from concept to production, ensuring performance, scalability, and business impact. Collaborate with
data scientists
to design, implement, and optimize ML and AI models. Partner with
infrastructure teams
to enhance the architecture, stability, and scalability of ML platforms. Design and build
optimized data pipelines
to support real-time and batch inference. Extend and maintain existing
ML libraries, frameworks, and APIs
to accelerate delivery. Implement
model monitoring, governance, and automation frameworks
for robust ML operations (MLOps). Drive continuous improvement of ML platform capabilities, staying aligned with the latest technologies and best practices. Translate complex ML and AI solutions into actionable business insights and measurable results. Provide mentorship and technical direction to junior engineers on the ML team. Requirements
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field ( Master's preferred ). 7+ years of experience
in machine learning or applied AI engineering. Proficiency in
Python, Java, and Scala , with a solid foundation in algorithms, data structures, and multithreading. Expertise in
ML and DL frameworks
such as
XGBoost, scikit-learn, TensorFlow, and PyTorch . Experience with
Generative AI ,
LangChain , and
Retrieval-Augmented Generation (RAG)
architectures. Hands-on experience with
cloud-based ML platforms
such as
AWS SageMaker, GCP AI Platform, H2O.ai, or DataRobot . Strong understanding of
model lifecycle management , including containerization, real-time inference, and CI/CD for ML. Experience developing and deploying
production-grade ML applications
on cloud infrastructure. Familiarity with
Agile/Scrum
methodologies and collaborative cross-functional teamwork. Preferred Experience & Skills
Strong knowledge of
MLOps practices
including monitoring, retraining pipelines, and governance frameworks. Experience architecting
generative AI solutions
for enterprise-scale use cases. Thought leadership in machine learning innovation, model scalability, and ethical AI practices. Excellent communication, collaboration, and problem-solving skills. Attributes & Mindset Analytical thinker with a passion for innovation and applied AI. Highly detail-oriented with a focus on code quality and model performance. Self-motivated and capable of leading projects in fast-paced environments. Committed to continuous learning and staying ahead of emerging ML technologies.
Benefits Location:
Newark, NJ (Hybrid) Experience Level:
Mid-Senior Employment Type:
Contract Compensation:
$60/hour
Compétences idéales
- PyTorch
- Python
- Scikit-learn
- TensorFlow
- XGBoost
- AWS Sagemaker
Expérience professionnelle
- Machine Learning
Compétences linguistiques
- English
Avis aux utilisateurs
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