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Evening Computer Vision Deep Learning Engineer Jobs in Massachusetts

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

... Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ... Strong proficiency in programming languages such as Python, C/C++, experience with deep learning ...

Tutor

Research Engineer

Watertown, MA · On-site

The Research Engineer role involves developing AI algorithms and systems that drive innovative ... computer vision (deep or classical) • Experience with infra and devtools (systemd, Docker ...

Tutor

Research Engineer

Watertown, MA · On-site

The role of Research Engineer involves developing AI algorithms and systems that enable robots to ... computer vision (deep or classical) • Experience with infra and devtools (systemd, Docker ...

Nucs AI

Machine Learning Scientist

Berlin, MA · On-site +1

PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or ... Deep expertise in deep learning architectures for image analysis (CNNs, transformers, U-Nets, etc.

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All JobsEvening Computer Vision Deep Learning Engineer JobsEvening Computer Vision Deep Learning Engineer Jobs in Massachusetts

Evening Computer Vision Deep Learning Engineer information

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Massachusetts? The most popular types of Computer Vision Deep Learning Engineer jobs in Massachusetts are:
What are popular job titles related to Evening Computer Vision Deep Learning Engineer jobs in Massachusetts? For Evening Computer Vision Deep Learning Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in Massachusetts look for? The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Evening Computer Vision Deep Learning Engineer jobs? Cities in Massachusetts with the most Evening Computer Vision Deep Learning Engineer job openings:
Evening Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Evening Computer Vision Deep Learning Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

AI/ML Engineer

Winaxis

Boston, MA • On-site

$32 - $35/hr

Full-time

Re-posted 5 days ago

Job description

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies. Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Deploy machine learning models into production environments using MLOps best practices. Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor model performance and implement continuous improvements. Research and evaluate emerging AI technologies, frameworks, and industry trends. Develop APIs and microservices for AI model integration. Ensure data security, model governance, and compliance standards are maintained. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases. Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git. Preferred Qualifications Experience with Generative AI technologies and Large Language Models (LLMs). Hands-on experience with: LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD pipelines. Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit-learn Pandas NumPy Apache Spark MLflow Docker Kubernetes AWS/Azure/GCP Git REST APIs Generative AI & LLMs Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail and commitment to quality. Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)