AI/ML Engineer

Role: AI/ML Engineer

The AI/ML Engineer is responsible for designing and implementing intelligent automation solutions that incorporate generative AI and machine learning technologies. The role focuses on ensuring operational efficiency and continuous refinement of integrated AI/ML solutions.

Requirements

• Overall experience of 6-10 years in application/framework development.
• Minimum 5+ years of experience in AI/ML-based app/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 (LLMs, RAG architectures, prompt engineering, model fine-tuning).
• Hands-on experience with OCR, ICR, and OMR technologies.
• Proficiency in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain).
• Good understanding of document processing, classification, and data extraction.
• Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI.
• Experience in web application/APIs development.
• 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 concepts and database concepts, including SQL Server and 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.

Responsibilities

Your responsibilities include designing, maintaining, and optimizing intelligent automation solutions, including AI Center troubleshooting and resolution of issues post-implementation. You will focus on building generative AI applications with embedded artificial intelligence or machine learning to support continuous improvement, learning, and augmented decision-making.

Key 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.

Nice to Have

• Experience with front-end frameworks (React, Angular, Vue.js) and modern web development.
• UiPath RPA Developer Certification and UiPath AI Center Experience.
• Knowledge of chatbot development and conversational AI.
• Experience with AWS Bedrock Agents and Guardrails.
• Familiarity with model distillation and prompt optimization techniques.
• Understanding of responsible AI practices and AI security.

Recommended Certifications

• AWS Certified Machine Learning - Specialty.
• AWS Certified Solutions Architect.
• General AI/ML Certifications (TensorFlow Developer, Azure AI Engineer).
• UiPath AI Center Experience (nice to have).

Education/Year of Experience

Bachelor's degree and a minimum of 5 years of experience in automation engineering roles with a focus on AI/ML integrations and generative AI application development.

Cultural Fit

• Effective communication skills for technical discussions.
• Comfortable with Agile methodologies.
• Ability to work remotely.
• Alignment with customer's mission and values.
• Adaptability to varying organizational structures.
• Data Analysis and Data Architecture Skills.
• Strong problem-solving abilities for complex AI/ML challenges.

Benefits

• Medical
• Dental
• Vision
• Basic Life
• Health Saving Account
• 401K Matching
• Three weeks of PTO/Sick
• 11 Paid Holidays
• Pre-Approved Online Training