Synergis · 1 day ago
Computer Vision / Deep Learning Engineer
Synergis is a workforce solutions partner that focuses on building IT ecosystems for growth and innovation. They are seeking a Computer Vision/Deep Learning Scientist to develop and optimize advanced models for enterprise AI applications, working on projects related to document intelligence and conversational AI.
Responsibilities
Join our innovative team as a Computer Vision/Deep Learning Scientist to develop and optimize advanced models for enterprise AI applications
You will work on projects involving document intelligence, conversational AI, and scalable AI platform integration
Your work will include designing, testing, and deploying computer vision and deep learning models, collaborating with cross-functional teams, and contributing to cutting-edge AI solutions
Qualification
Required
Bachelor's degree in Computer Science, Data Science, ML, Linguistics, or related fields
2+ years of experience in NLP, AI, or LLM-based development
Strong knowledge of building APIs and deploying production AI systems
Familiarity with RAG architectures, embeddings, and semantic search techniques
Experience deploying AI solutions in cloud environments such as AWS (ECS, EKS, S3, Lambda, Bedrock) with Docker and Kubernetes
Preferred
Master's or PhD in a relevant discipline
Experience with MLOps, microservices architectures, and enterprise authentication systems (OAuth, LDAP)
Knowledge of advanced NLP techniques and observability tooling
Familiarity with backend technologies such as FastAPI, Node.js, and Express
Prior work in designing scalable, microservices-based AI platforms
Benefits
Medical
Dental
Vision
Disability
Life insurance
401k
Commuter benefits
Company
Synergis
Synergis is a staffing and recruiting company specializing in information technology staffing services.
H1B Sponsorship
Synergis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (2)
2022 (7)
2021 (6)
2020 (12)
Funding
Current Stage
Growth StageRecent News
TecHR Series
2023-07-11
Company data provided by crunchbase