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Tensorflow Engineer Jobs (NOW HIRING)

Apex Systems

Lead AI/ML Engineer

Dearborn, MI · On-site

$94K - $124K/yr

Support the client's AI and ML engineering capability, including model fine-tuning oversight ... TensorFlow - 2-5 years building, training, and evaluating machine learning models using TensorFlow ...

New

SOSi

Senior Data Scientist

OR · Remote

Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at SOSi All interested individuals will receive ...

SOSi

Senior Data Scientist

OR · On-site +1

Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at SOSi All interested individuals will receive ...

3B Staffing LLC

AI Engineer

Charlotte, NC · On-site

Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks * Proficiency in LangChain, LllamaIndex, or similar AI frameworks * Experience with observant tools like Splunk, Dynatrace ...

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

... such as TensorFlow and PyTorch . This role requires strong technical skills in machine learning, programming, and algorithms, as well as effective collaboration with data scientists, software ...

Fluency Digital, Inc.

WI · On-site

$110 - $160/hr

You are the engineer who prefers the hum of factory equipment to the silence of a cloud notebook ... Python, PyTorch, TensorFlow, AWS, GCP, OpenCV #J-18808-Ljbffr

3B Staffing LLC

AI Engineer

Charlotte, NC · On-site

Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks * Proficiency in LangChain, LllamaIndex, or similar AI frameworks * Experience with observant tools like Splunk, Dynatrace ...

innovitusa

Machine Learning Engineer

Atlanta, GA

W2 Candidates Only We are seeking a Machine Learning Engineer to develop, deploy, and optimize ... TensorFlow or PyTorch * Machine Learning algorithms * Pandas and NumPy * SQL * Model development ...

3B Staffing LLC

Computer Vision Engineer

Irving, TX · On-site

$107K - $126K/yr

Computer Vision Engineer Location: Irving, TX (Onsite / Local Candidates Preferred) Duration ... Contract (C2C) Experience: 5+ years Python, OpenCV, TensorFlow/PyTorch, image processing, CNNs ...

3B Staffing LLC

Computer Vision Engineer

Irving, TX · On-site

$107K - $126K/yr

Computer Vision Engineer Location: Irving, TX (Onsite / Local Candidates Preferred) Duration ... Contract (C2C) Experience: 5+ years Python, OpenCV, TensorFlow/PyTorch, image processing, CNNs ...

Smart Synergies

AI Engineer

Reston, VA · On-site

Convert prototypes into production-ready applications using frameworks like TensorFlow, PyTorch, or Scikit-learn. * Data Engineering & Integration * Collaborate with data engineers to develop robust ...

staffing1

Ai Engineer

San Francisco, CA

$130K - $170K/yr

Work with frameworks such as LangChain, LlamaIndex, PyTorch, or TensorFlow. Implement prompt engineering and model evaluation strategies. Monitor AI systems for performance, accuracy, latency, and ...

New

ClifyX

Applied ML Engineer

Louisville, KY · On-site

ML frameworks (TensorFlow, PyTorch, scikit-learn). Feature store integration, model serving via low-latency APIs. • Key Skills: Model development, feature engineering, model serving infrastructure ...

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As of Sep 4, 2026, the average yearly pay for tensorflow engineer in the United States is $94,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $108,500.00 per year, depending on experience, location, and employer.

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Lead AI/ML Engineer

Apex Systems

Dearborn, MI • On-site

$94K - $124K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted yesterday

New

Job description

Job#: 3049472
Job Description:
Position Description:
Support the client's AI and ML engineering capability, including model fine-tuning oversight, agentic orchestration architecture, and LLM evaluation
  • Oversee vendor fine-tuning of Google Cloud Vertex AI using proprietary diagnostic data, ensuring compliance with Ford's IP protection requirements and model weight storage architecture
  • Design and build the client's Orchestration Layer. The integration framework that connects external AI engine with other internal AI engines and platform services
  • Evaluate AI engine outputs against defined accuracy, latency, and first-time fix rate metrics; drive iterative improvement through structured feedback loops
  • Define model evaluation frameworks and acceptance criteria for AI-generated triage recommendations, ensuring clinical accuracy before dealer-facing deployment
  • Build internal tooling for model monitoring, drift detection, and retraining triggers within the client's Google Cloud Platform environment
  • Collaborate with the client's data engineering team to define data preparation and feature engineering requirements that support model fine-tuning and inference quality
  • Partner with the Google Cloud Platform Cloud Engineers to ensure model artifact storage, versioning, and access controls comply with the client's IP and security policies
  • Contribute to the long-term insourcing roadmap by documenting model architectures, training pipelines, and prompt frameworks in sufficient detail to enable internal replication
  • Represent AI and ML engineering in architecture reviews and vendor technical discussions.

Skills Required:
  • Technical Communication - 2-5 years translating complex technical concepts - such as ML model behavior, data pipeline architecture, or platform design decisions - into clear documentation, proposals, and presentations for both technical and non-technical audiences including engineering leads and product stakeholders.
  • Communications - 2-5 years of demonstrated ability to communicate effectively across cross-functional teams, including facilitating technical discussions, contributing to design reviews, and keeping stakeholders aligned on project status, risks, and decisions.
  • Google Cloud Platform - 2-5 years of hands-on experience with Google Cloud Platform services relevant to AI/ML and data workloads, including Vertex AI, BigQuery, GCS, Dataflow, or Cloud Composer, with the ability to deploy and manage workloads in a production cloud environment.
  • TensorFlow - 2-5 years building, training, and evaluating machine learning models using TensorFlow or TensorFlow Extended (TFX), including experience with model versioning, pipeline integration, and deploying models to production serving infrastructure.
  • Data Governance - 2-4 years applying data governance principles including data lineage, access controls, metadata management, and compliance standards to ensure telemetry and ML datasets meet quality, security, and regulatory requirements.
  • Machine Learning - 3-5 years of applied ML experience including feature engineering, model selection, training, validation, and deployment. Candidate should be comfortable working with both structured and unstructured data in the context of real-world engineering or automotive telemetry use cases.
  • Python - 3-5 years writing production-quality Python for data engineering, ML pipeline development, or platform tooling. Proficiency with relevant libraries such as Pandas, NumPy, scikit-learn, and TensorFlow is expected, along with familiarity with code quality practices such as testing and version control.
  • Artificial Intelligence & Expert Systems - 3-5 years of experience designing or working with AI systems, including the application of large language models, expert systems, or intelligent automation within developer or data workflows. Candidate should understand model lifecycle management, prompt engineering, and responsible AI practices.

Skills Preferred:
  • Telematics - 1-3 years of exposure to telematics data systems, including vehicle data collection, event streaming, or connected vehicle platforms. Familiarity with how telematics data is ingested, processed, and applied to ML or analytics use cases is a strong plus in the context of our Telemetry & Observability Platform.

Experience Required:
  • 5 or more years of professional experience in machine learning engineering, AI systems development, or applied AI research
  • Hands-on experience fine-tuning LLMs in a cloud environment, with specific preference for Google Cloud Vertex AI or equivalent managed ML platforms
  • Demonstrated experience building agentic AI systems using frameworks such as LangChain, LangGraph, Google Agent Builder, or equivalent orchestration tooling
  • Proficiency in Python and ML development tooling including Hugging Face, PyTorch or TensorFlow, and MLflow or Vertex AI Experiments Experience designing and evaluating LLM outputs for production systems, including prompt engineering, retrieval-augmented generation (RAG) architectures, and model evaluation metrics
  • Strong understanding of MLOps practices including model versioning, deployment pipelines, monitoring, and retraining workflows on Google Cloud Platform
  • Experience working in regulated or IP-sensitive environments where model artifact ownership and data governance are active concerns
  • Strong written and verbal communication skills; ability to translate technical AI concepts for non-technical executive stakeholders

Experience Preferred:
  • Experience in automotive diagnostics, vehicle telematics, or connected vehicle platforms
  • Familiarity with Diagnostic Trouble Code (DTC) data, Over-the-Air (OTA) update systems, or repair order (RO) data structures
  • Experience with multi-agent AI systems and tool-use patterns in production
  • Google Cloud Professional Machine Learning Engineer certification

Education Required:
Bachelor's Degree
Additional Information :
***HYBRID / 4 days per week in the office)***
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
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