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Senior AI/ML Engineer
Node.Digital. Design, maintain, and optimize intelligent automation solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing generative AI solutions using AWS services, with a strong focus on automation and machine learning. Proficient in developing scalable AI/ML models and integrating AI capabilities across various business functions.
Highest-signal resume keywords
Generative AI Application DevelopmentAWS Services (Amazon Bedrock, SageMaker, Lambda)Machine Learning Frameworks (TensorFlow, PyTorch)API Development and IntegrationAutomation Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingAI/ML Model DevelopmentDocument Processing Technologies (OCR, ICR, OMR)Natural Language Processing (NLP)Data Structures and AlgorithmsSQL ServerPostgreSQLCI/CD PipelinesAsynchronous ProgrammingAgile Methodologies
Soft Skills
Problem-Solving AbilitiesCollaboration with Cross-Functional Teams
Tools & Technologies
AWS InfrastructureJSONRESTSOAPXHTMLXSDXSLTTFSSVNGit
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Intelligent Automation SolutionsGenerative AIMachine LearningData ArchitectureAI/ML Integrations
Tech Stack
Tools & technologiesAWSCloudPostgresPythonPyTorchSDLCSOAPSQLSubversionTensorflowTFS
About the role
Key responsibilities & impact- Design, maintain, and optimize intelligent automation solutions
- Troubleshoot and resolve issues in AI Center after implementation
- Build generative AI applications with embedded artificial intelligence or machine learning
- Design and implement generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures
- Build repeatable intelligent solutions and bots for document processing and data cleansing
- Develop and deploy scalable ML/AI models on AWS infrastructure
- Create API endpoints and integrations for AI/ML services
- Implement model evaluation, monitoring, and continuous improvement processes
- Collaborate with cross-functional teams to embed AI capabilities across business functions
Requirements
What you’ll need- Overall experience of 6-10 Years working on Application/framework development
- Minimum 5+ years of experience in AI/ML-based application/solution development with a 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, including LLMs, RAG architectures, prompt engineering, and model fine-tuning
- Hands-on experience with OCR, ICR, and OMR technologies
- Good programming knowledge in Python and relevant ML/AI frameworks, including TensorFlow, PyTorch, and LangChain
- Understanding of document processing, classification, and data extraction
- Knowledge of Natural Language Processing (NLP), deep learning, and generative AI
- Hands-on web application/API development experience
- Proficiency 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 and database concepts
- Experience with SQL Server and PostgreSQL
- Knowledge of AWS cloud architecture patterns and serverless computing
- Experience with CI/CD pipelines and DevSecOps practices
- Experience with TFS, SVN, and Git
- Involvement in different phases of the SDLC and exposure to Agile methodologies
- Bachelor's degree
- Minimum 5 years of experience in automation engineering roles focused on AI/ML integrations and generative AI application development
- Preferred: US Citizenship
- Ability to work remotely
- Data analysis and data architecture skills
- Strong problem-solving abilities for complex AI/ML challenges
Benefits
Comp & perks- Medical
- Dental
- Vision
- Basic Life
- Health Saving Account
- 401K Matching
- Three weeks of PTO/Sick
- 11 Paid Holidays
- Pre-Approved Online Training