Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
About the role
- AI/ML Engineer architecting intelligent automation solutions, focusing on generative AI applications at Node.Digital. Collaborating to deliver AI/ML solutions for various clients.
Responsibilities
- Designing and implementing **generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures**
- Building repeatable intelligent solutions/bots for document processing and data cleansing
- Developing and deploying **scalable ML/AI models on AWS infrastructure**
- Creating **API endpoints and integrations** for AI/ML services
- Implementing **model evaluation, monitoring, and continuous improvement** processes Collaborating with cross-functional teams to embed AI capabilities across business functions
Requirements
- Overall experience of 6-10 Years working on Application/framework development
- Min 5+ years of exp in AI/ML-based app/solution development with strong focus on **generative AI applications**
- Hands-on experience with **AWS services including Amazon Bedrock, S3, SageMaker, CDK,Lambda, and other AI/ML services**
- Experience with **generative AI models and frameworks** (LLMs, RAG architectures, prompt engineering, model fne-tuning)
- Hands-on exp with OCR, ICR and OMR technologies is a must
- Good programming knowledge in **Python and relevant ML/AI frameworks** (TensorFlow, PyTorch, LangChain)
- Good understanding of Document Processing, classifcation, data extraction is a must
- Knowledge in **Natural Language Processing (NLP), Deep Learning, and Generative AI** is a must
- Hands-on Web application/APIs Development experience is a must
- Profciency in asynchronous/multi-threaded programming
- Strong knowledge of algorithms, data structures, complexity, optimization, caching and security
- Experience with JSON, SOAP, Rest, XML, XHTML, XSD and XSLT
- Strong knowledge of object-oriented concepts and Database concepts Experience with databases like SQL Server, PostgreSQL
- Experience with **NoSQL databases and vector databases** (for RAG implementations) is a plus
- Knowledge of **AWS cloud architecture patterns and serverless computing**
- Experience with **CI/CD pipelines** and DevSecOps practices
- Knowledge of Agile methodologies is desirable
- Experience working with a toolchain that includes TFS, SVN, Git
- Involved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies
Benefits
- Medical
- Dental
- Vision
- Basic Life
- Health Saving Account
- 401K Matching
- Three weeks of PTO/Sick
- 11 Paid Holidays
- Pre-Approved Online Training
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.