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Entry Level Computer Vision Deep Learning Engineer Jobs in Byram, CT

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

... computer vision-across a cloud-agnostic stack. Responsibilities: * Build AI services: Develop and ... Vision & deep learning: Help develop and integrate CNNs and vision models (classification ...

Pangram

Machine Learning Engineer (Junior)

New York, NY · On-site

$135K - $150K/yr

S. in Computer Science or related areas * Practical experience with deep learning: internships, undergrad or masters' level research projects in an academic lab, Kaggle competitions, or interesting ...

Aismm

AI/ML Engineer

Manhattan, NY · On-site

Train and fine-tune NLP and computer vision models. Collaborate with developers to integrate AI ... Strong background in data science and deep learning. Ability to process large datasets for AI ...

Forhyre

Machine Learning Engineer

New York, NY · On-site

Deep knowledge of math, probability, statistics and algorithms * Ability to write robust code in ... BSc in Computer Science, Mathematics or similar field; Master's degree is a plus

ONETRACK.AI

Sales - Build Your Own Role

New York, NY · On-site +1

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...

ONETRACK.AI

Sales - Build Your Own Role

New York, NY · On-site

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...

Lyft

Machine Learning Engineer

New York, NY · On-site

... Computer Science, or a related field * 2+ years of experience in machine learning modeling or ... Experience with deep learning technologies for recommendation systems, including TensorFlow ...

Lyft

Machine Learning Engineer

New York, NY

... Computer Science, or a related field * 2+ years of experience in machine learning modeling or ... Experience with deep learning technologies for recommendation systems, including TensorFlow ...

Kitware

Computational Imaging Researcher

New York, NY · On-site

$125K - $170K/yr

We seek to advance the fields of computational imaging, computer vision, and deep learning through ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

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Entry Level Computer Vision Deep Learning Engineer information

See Byram, CT salary details

$53.9K

$135K

$152.7K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for entry level computer vision deep learning engineer in Byram, CT is $134,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $146,100.00 per year, depending on experience, location, and employer.

What does an entry level computer vision deep learning engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What types of projects do entry level computer vision deep learning engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What are the key skills and qualifications needed to thrive as an entry level computer vision deep learning engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
Entry Level Computer Vision Deep Learning Engineer jobs near you

Associate AI Developer

White Plains, NY • On-site

iSoftStone
201 - 500 employees
Learn more about iSoftStoneexternal

$20/hr

Contractor

Re-posted yesterday

Job description

Description
iSoftStone, Inc. is seeking an Associate AI Developer to join our Team
In New York, NY, Seattle, WA or Dallas, TX (Hybrid opportunity)
**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.**
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.

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