Evening Computer Vision Deep Learning Engineer Jobs in New York

iSoftStone, Inc. is seeking an Associate AI/ML Developer to join our Team

In New York, NY, Seattle, WA or Dallas, TX (Hybrid opportunity)

Summary: 

iSoftStone, Inc. is seeking an Associate AI Developer to help build and ship production-grade AI services. This training-based, early-career role is ideal for recent graduates eager to grow into hands-on AI engineers, working alongside senior developers on real client projects spanning agentic applications, orchestration, observability, and computer vision—across a cloud-agnostic stack.
 

Responsibilities:

• Build AI services: Develop and help deploy services and microservices that integrate LLMs and classical ML (real-time APIs, batch, and event-driven workloads).
• Agentic & orchestration: Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with structured I/O via Pydantic.
• Vision & deep learning: Help develop and integrate CNNs and vision models (classification, detection, OCR) into production pipelines.
• Observability: Instrument services with logging, tracing, and evaluation hooks; help monitor quality, latency, cost, and drift.
• Cloud-agnostic delivery: Build AI integrations on AWS, Azure, or NVIDIA tooling—and with open-source models—favoring portable, well-tested code.
• Quality & collaboration: Write tests from specs, join code reviews and design discussions, and respond constructively to feedback.
   

Qualifications:

• Education: Recently graduated from, a degree/certificate program in Computer Science, AI/ML, Data Science, Engineering, or a related field.
• Experience: Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal projects) developing software or AI applications.
• AI cloud services: Hands-on exposure building AI services and integrations with one or more of: AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton), or open-source (LangChain, Pydantic, Python).
• Programming: Solid Python foundation plus software engineering fundamentals (version control, testing, APIs, clean code).
• Mindset: Cloud-agnostic and portability-minded; strong problem-solver; open to learning and feedback in a fast-paced environment.
   

Preferred Skills

• Familiarity with agentic patterns, tool-use orchestration, or the Model Context Protocol (MCP); RAG and vector search (Pinecone, Weaviate, FAISS).
• Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD.
• Prior internship, capstone, or project work involving AI, data, or cloud services
• Education
  • BS/MS/certificate program in Computer Science, Engineering, AI/ML, Data Science or related field; equivalent experience considered.

Primary Location Pay Range: $20 per hour

iSoftStone is a global IT service and consulting company that creates value and drives success through technology solutions, service excellence, and digital innovation. We specialize in web and application development, software testing and support, data and content management, digital experience, accessibility, and data for machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide, iSoftStone is proud to serve some of the world’s most well-known businesses, including 90+ Fortune Global 500 companies.

Visit us at https://www.isoftstoneinc.com.

iSoftStone is committed to the practice of equal opportunity for all its employees and applicants in employment, and does not discriminate on the basis of race or ethnicity, color, age, national origin, religion, creed, marital status, sex, pregnancy, gender, gender identity, sexual orientation, status as an honorably discharged veteran or disabled veteran or military status, political affiliation or belief, citizenship/status as a lawfully admitted immigrant authorized to work in the United States, or presence of any physical, sensory, or mental disability. In addition, reasonable accommodation will be made for known physical or mental limitations for all otherwise qualified persons with disabilities.