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Sela - AI/ML Engineer - Generative AI Solutions

Sela - AI/ML Engineer - Generative AI Solutions

the it firm
3-5 Years
Early Applicant
  • Posted 13 hours ago
  • Be among the first 10 applicants

Job Description

Job Description

We are seeking a highly skilled AI/ML Engineer with a strong background in AI and Generative AI Architecture. The ideal candidate must have a proven track record of designing and implementing AI solutions that drive business value.

Key Responsibilities

  • Design, develop, and deploy AI/ML models and AI agents across cloud platforms (AWS-primary, GCP, Azure)
  • Architect and implement Generative AI systems for real-world use cases
  • Collaborate with product, engineering, and customer teams to define AI-driven solutions
  • Conduct model training, validation, A/B testing, and optimization
  • Participate in technical discussions and provide thought leadership in AI/ML strategy
  • Ensure responsible AI practices, including data privacy, bias mitigation, and explainability
  • Perform solution architecture validations for LLMs
  • Put Generative AI models into production (GenAIOps)

Tech Stack & Requirements

  • Experience developing and deploying AI applications in AWS, GCP, and Azure
  • At least 3 years of experience putting ML models into production, with at least one live AI agent built
  • 2+ years in AI development; experience with AWS Sagemaker, Bedrock, Q, Transcribe, Polly, or Google Cloud AI ML Services (Vertex, Gemini, AutoML) is preferred
  • Familiarity with MLOps tools (SageMaker, Vertex AI, MLflow, Kubeflow)
  • Strong understanding of LLMs, NLP, and Generative AI frameworks (LangChain, LangGraph, Hugging Face, CrewAI, RAG)
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
  • Strong software engineering skills and experience with APIs
  • Experience with senior stakeholder management and strong communication skills

Preferred Qualifications

  • Experience building Agentic AI systems or autonomous AI agents
  • Exposure to real-time inference, edge AI, or multi-modal AI applications
  • Contributions to open-source AI/ML projects or publications
  • Certifications in cloud platforms or ML specializations

(ref:hirist.tech)

More Info

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Key Skills

LangChain

CrewAI

Generative AI Architecture

LLMs

Generative AI frameworks

Hugging Face

Scikit-learn

MLflow

LangGraph

SageMaker

AI ML models

Vertex AI

Kubeflow

RAG

MLOps tools

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