Design, develop, and deploy machine learning and deep learning models; build end-to-end ML pipelines including preprocessing, training, evaluation, and deployment; perform feature engineering on large datasets; deploy and monitor models on cloud platforms; collaborate with cross-functional teams to integrate AI solutions and retrain models as needed.
Role Overview
We are seeking a skilled AI/ML Developer with 5–6 years of experience to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate should have strong programming skills, hands-on experience with ML frameworks, and the ability to translate business problems into scalable AI solutions.
Key Responsibilities:
- Design, build, and optimize machine learning and deep learning models
- Develop end-to-end ML pipelines (data preprocessing, training, evaluation, deployment)
- Work with large datasets and perform feature engineering
- Deploy models using cloud platforms and APIs
- Collaborate with cross-functional teams to integrate AI solutions into products
- Monitor model performance and retrain as needed
- Stay updated with the latest advancements in AI/ML
Required Skills:
- Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
- Experience with NLP, computer vision, or predictive analytics
- Solid understanding of data structures, algorithms, and statistics
- Experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of MLOps tools (Docker, Kubernetes, CI/CD pipelines)
- Familiarity with SQL and big data tools (Spark, Hadoop)
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
- 5–6 years of relevant experience in AI/ML development
Good to Have:
- Experience with generative AI or LLMs
- Knowledge of model explainability and ethical AI
- Exposure to real-time ML systems
Compensation, Benefits and Duration
Minimum Compensation: USD 44,000
Maximum Compensation: USD 154,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Similar Jobs
Healthtech • Internet of Things • Hospitality • Telehealth
The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.
Top Skills:
AIMachine Learning
Digital Media • Information Technology • News + Entertainment
Field-based enterprise seller responsible for developing territory strategy, prospecting and closing mid-market and enterprise multi-location accounts. Delivers face-to-face presentations, builds partner relationships, positions Comcast Business solutions, ensures customer retention, and meets/exceeds financial targets while coordinating with internal teams.
Top Skills:
23)Business ContinuityCustomer Premise Equipment (Cpe)CybersecurityDisaster RecoveryEthernetLanMan (Metropolitan Area Network)Network SecurityNetworking Protocols (Layers 1Sd-WanVoipVpnWanWdm
Digital Media • Information Technology • News + Entertainment
Design, develop, and deploy microservices and ETL applications for a SaaS cybersecurity platform. Collaborate with product, UX, DevOps, and architects to implement features, support production deployments, triage customer issues, and build reusable components while applying DevSecOps practices and production incident mitigation tools.
Top Skills:
Apache IcebergContent Management SystemsData LakeDevsecopsDockerETLGitGoJIRAMicroservicesPythonSaaSUnit Test Frameworks
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
