AI/ML Engineer
Listed on 2026-03-15
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Overview
Delta is emerging as one of the fastest growing IT Staffing and professional services company specializing in SAP, Guidewire, Cloud, SRE, data and applications development
. Headquartered in Texas
, we are a global company with offices in Canada, India, Europe, Middle East, Australia
. We help clients transform through business and technology consulting, digital solutions, applications development, maintenance and support services. Visit to learn more.
Delta is an equal opportunity employer and considers all applicants irrespective of race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees.
Long Term Contract
New York City, NY (hybrid role)
Responsibilities- We are seeking a highly experienced and innovative Senior AI/ML Engineer with 5 to 12 years of industry expertise to lead the development of scalable machine learning systems.
- In this pivotal role, you will architect and implement advanced AI solutions, guide strategic AI initiatives, and collaborate with cross-functional teams to drive innovation.
- Your technical leadership will be instrumental in shaping our AI roadmap and delivering state-of-the-art models and systems.
- Proven experience designing scalable ML systems and architectures.
- Strong expertise in advanced statistical modeling techniques.
- Deep experience in model development and deployment pipelines.
- Proficiency in integrating ML models with REST APIs.
- In-depth experience with Natural Language Processing (NLP), deep learning, and transformer-based models.
- Hands-on experience with cloud ML platforms, such as AWS Sage Maker or Azure AI.
- Demonstrated leadership in formulating and executing AI strategies within organizations.
- Knowledge of the latest AI frameworks, including Transformers and Large Language Models (LLMs).
- Bachelor’s, Master’s, or PhD in Computer Science, Data Science, or related fields.
- 5–12 years of relevant experience in AI/ML engineering and system architecture.
- Proven track record of deploying high-impact AI solutions at scale.
- Strong analytical, strategic thinking, and problem-solving skills.
- Excellent communication abilities and leadership qualities.
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