3Pillar Global
Product Development
Architect/Principal,AIMLEngineer
“Architect / Principal, AI ML Engineer at 3Pillar Global. Skills: AI/ML Architecture, Generative AI, MLOps, Cloud-native AI. Define end-to-end architecture for AI/ML and Gen AI. Serve as a strategic advisor / consultant to clients”
What You'll Achieve.
delivering impactful a Ph. D. is highly desirable; drive innovation and business value; strengthen the expertise in the organization
Industry & Context.
What They're Looking For.
Must Have
Master’s degree in Computer Science, Engineering, Mathematics, or a related field, 15+ years of industry experience with IT services background in machine learning, data science, AI, AI architecture patterns (RAG, Agent AI, MCP based systems, prompt orchestration), Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow), Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning, Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines), Familiarity with APIs, microservices, and containerization (Docker, Kubernetes), Experience in Data Governance, Model Risk Management, and compliance, Extensive knowledge of machine learning theory, algorithms, and methodologies, leadership and communication skills, with the ability to influence stakeholders at all levels of the organization, Demonstrated ability to think strategically and drive innovation
Nice to Have
Ph. D. is highly desirable, Good undertaking of Software Product Development and how to integrate AI ML components into a software product, Experience in working with huge datasets in a production environment, Published research in top-tier conferences or journals is a plus
What You'll Do.
Define end-to-end architecture for AI/ML and Gen AI
Serve as a strategic advisor / consultant to clients
Lead solution design discussions
Present AI/ML architectures
Represent 3Pillar in client-facing interactions
Architect scalable solutions using cloud-native AI tools
Lead the integration of Generative AI into components / features
Leverage LLMs into enterprise applications using APIs
Design retrieval-augmented generation (RAG) systems
Guide teams on MLOps frameworks
Evaluate build-vs-buy decisions
Benchmark AI tools/platforms
Evaluate emerging technologies and trends in AI
Recommend adoption strategies
Mentor technical teams
Guide solution architects
Ensure ethical and responsible AI practices
Act as a subject matter expert
Provide guidance and mentorship to junior colleagues
Strengthen expertise in the organization
Collaborate with leadership to align machine learning strategies
Represent the organization at industry conferences
Drive cross-functional collaboration to identify opportunities
How You'll Work.
Team & Collaboration
Collaborate with leadership to align machine learning strategies with overall business objectives; Drive cross-functional collaboration to identify opportunities for applying machine learning to business challenges; Guide teams on MLOps frameworks; Mentor technical teams and guide solution architects, AI/ML engineers; Provide guidance and mentorship to junior colleagues
Communication Scope
leadership and communication skills; ability to influence stakeholders at all levels of the organization
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