AI Engineer - AI models and algorithms - 7-10 Years - Remote
| Location: | United States of America |
| Functional Practices: | Data Engineering, Data Modelling, Data Science/Machine Learning |
| Job type: | Contract |
| Contact name: | Twinkle Panhotra |
| Contact email: | twinkle@crescendo-global.com |
| Job ref: | 90969 |
| Published: | 12 days ago |
AI Engineer - AI models and algorithms - 7-10 Years - Remote
The AI/ML Engineer will be responsible for designing, developing, deploying, and maintaining artificial intelligence solutions that address real business challenges. This role involves building and optimizing machine learning models—particularly in natural language processing and computer vision—while working closely with cross-functional teams to translate data into actionable insights. The engineer will manage and troubleshoot existing AI applications, continuously improve model performance through experimentation, and leverage cloud-based platforms such as Azure and Azure Synapse to support scalable data workflows. Strong programming skills, experience with modern ML frameworks, and expertise in prompt engineering are essential, along with the ability to document and clearly present technical findings to stakeholders.
Location: Harrisburg, Pennsylvania (Remote - one week in office)
Candidate is required to be onsite for one week each month. Candidates must work EST time. Candidates from PA, NJ, NY, DE, and OH will be given preference.
Duration: 12 months (Possibility of extension)
Your Future Employer:
Our client specializes in infrastructure and technology providing flexible work environment with focus on customer and employee wellbeing.
Responsibilities:
- Design, develop, and deploy AI models and algorithms.
- Collaborate with cross-functional teams to identify and address AI-related challenges.
- Analyze and interpret complex data to extract actionable insights.
- Manage, maintain, and troubleshoot existing AI applications and models, including fixing bugs and resolving issues to ensure optimal performance and reliability.
- Continuously improve AI models through iteration and experimentation.
- Stay up to date with the latest advancements in AI and machine learning.
- Document and present findings and results to stakeholders.
Requirements:
- Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or a related field.
- Proven experience in AI, machine learning, or data science.
- Experience with natural language processing (NLP) and computer vision.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with cloud platforms (Azure) and Azure Synapse and data workflows (pipelines).
- Strong problem-solving skills and the ability to work independently and collaboratively.
- Excellent communication skills, both written and verbal.
What’s in it for you?
A well-structured workplace offers stability, competitive benefits, and a supportive environment that enhances both productivity and work-life balance. Strong opportunities for career growth through exposure to modern technologies and continuous skill development.
Reach Us:
If you feel this opportunity is well aligned with your career progression plans, please feel free to reach out to me with your updated profile at twinkle@crescendo-global.com
Disclaimer: Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Note: We receive a lot of applications on a daily basis, so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.
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Keywords:
AI models & algorithms, Machine learning (ML), Prompt Engineering, Natural Language Processing (NLP), Computer vision, Python / R / Java, OCR, TensorFlow / PyTorch / scikitlearn, Cloud platforms (Azure), Azure Synapse, Data workflows, High-Volume data
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