Machine Learning Engineer; Hybrid- Greenfield

CDM Smith


Lead Electrical Engineer. Job in Rancho Cucamonga Move Collective Jobs
CDM Smith • Rancho Cucamonga, CA, United States • via Move Collective Jobs
14 hours ago
Full–time
Apply on Move Collective Jobs
Job highlights
Identified by Google from the original job post
Qualifications
We are looking for a licensed Professional Engineer (PE) who possesses both technical expertise and project management skills, making this role perfect for those who excel in both engineering and client interactions
Bachelor's degree in Electrical or Electronic Engineering, Electrical Technology, or a related discipline
Active Professional Engineer (PE) license
9 more items(s)
Benefits
Minimum: $120,973
Maximum: $211,723
Additional Compensation: Bonuses are discretionary and may not apply to this position
Responsibilities
This position will support federal project work for clients that require U.S. Citizenship
Drive the design of electrical distribution systems, including medium and low voltage systems, substations, switchgear, and backup generation systems
Utilize software such as SKM Power Tools and ETAP to perform electrical calculations and power system analyses
14 more items(s)
Job description
Requisition ID: 44375BR

Business Unit: TSU

Job Description:

Join our dynamic team as a Lead Electrical Engineer and take charge of designing innovative electrical systems for federal infrastructures, including water/wastewater and industrial projects. We are looking for a licensed Professional Engineer (PE) who possesses both technical expertise and project management skills, making this role p...
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Match Made Tech


Machine Learning Engineer; Hybrid- Greenfield
Match Made Tech • Los Angeles, CA, United States • via Digitalhire
7 hours ago
Contractor
Apply directly on Digitalhire
Apply on Learn4Good
Job highlights
Identified by Google from the original job post
Qualifications
UNABLE TO OFFER SPONSORSHIP – MUST BE US CITIZEN/ GREEN CARD HOLDER
3–5 years as an ML/AI Engineer or 1–3 years in an ML/AI leadership role
Proven experience building and deploying machine learning models in production
7 more items(s)
Benefits
Compensation: $75-95 an hour on a 2-year contract that will convert to full-time
Responsibilities
Collaborate with data scientists and stakeholders to translate project goals into scalable ML solutions
Design, develop, and train models using state‑of‑the‑art machine learning techniques and tools
Select appropriate annotated datasets and transform raw data into machine learning‑ready formats
8 more items(s)
Job description
Position Overview

Position: Machine Learning Engineer (Hybrid – Greenfield Opportunity). Job Title: AI/ML Engineer – Greenfield AI Project. Location: Irvine, CA (onsite). Monday through Thursday onsite, Fridays remote. Compensation: $75-95 an hour on a 2-year contract that will convert to full-time. UNABLE TO OFFER SPONSORSHIP – MUST BE US CITIZEN/ GREEN CARD HOLDER. About Us: We are on a mission to develop innovative AI solutions that will revolutionize our workforce. As we embark on an exciting new greenfield AI project, we are seeking an exceptional AI/ML Engineer to join our team and lead the development of machine learning models that solve real-world business challenges.

Key Responsibilities
• Collaborate with data scientists and stakeholders to translate project goals into scalable ML solutions.
• Design, develop, and train models using state‑of‑the‑art machine learning techniques and tools.
• Select appropriate annotated datasets and transform raw data into machine learning‑ready formats.
• Analyze and process structured/unstructured data for training and evaluation.
• Develop feature extraction and selection pipelines to improve model performance.
• Run controlled experiments and perform statistical analysis to validate models.
• Refine model hyperparameters and evaluation metrics for optimal performance.
• Work closely with ML Ops to deploy and monitor models in production environments.
• Ensure all models are integrated seamlessly into existing systems.
• Participate in code reviews, pair programming, and knowledge‑sharing sessions.
• Write testable, production‑quality code that aligns with engineering best practices.

Required Qualifications
• 3–5 years as an ML/AI Engineer or 1–3 years in an ML/AI leadership role.
• Proven experience building and deploying machine learning models in production.
• Solid understanding of classical ML algorithms (classification, regression, clustering).
• Experience working with changing datasets and real‑time data pipelines.
• Hands‑on experience with Python and frameworks like PyTorch, TensorFlow, Scikit‑learn.
• Strong knowledge of data processing (ETL), feature engineering, and statistical evaluation.
• Solid understanding of REST APIs, CI/CD, and containerized deployments (Docker, Kubernetes).
• Strong communication, analytical thinking, and problem‑solving skills.
• Education: Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related quantitative field.

Preferred Qualifications
• Master’s or PhD degree in Computer Science, Engineering, or a related field.
• Experience with neural networks and deep learning applications in computer vision, time‑series analysis, or reinforcement learning.
• Familiarity with MLOps tools (MLflow, Kubeflow, Sage Maker, etc.).
• Exposure to cloud platforms (AWS, GCP, Azure).
• Familiarity with version control and experimentation tracking tools.
• Basic knowledge of data governance, security, and compliance standards.