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Salary
≈ $24k – $52k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 5+ years exp

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 4, 2026.

Overview
Company
Impact
Profile match
Simeio offers platform driven identity security services, to ensure secure access to organizations' most critical assets.

About the Role:

We are seeking a senior technical lead to architect, develop, and deploy scalable Machine Learning and Generative AI solutions. This role involves end-to-end ownership of the model lifecycle, driving MLOps excellence, enabling cloud-native deployments, and collaborating cross-functionally to deliver high-impact AI initiatives.

What You will Do:

  • Lead development, optimization, and deployment of ML and GenAI models for real-time, streaming and batch use cases.
  • Evaluation and picking LLM and embedding models for various use cases.
  • Ingestion of structured and unstructured data sources, storing them to vector databases.
  • Build and manage end-to-end agentic workflows for data retrieval, reasoning, and insight generation.
  • Build and manage end-to-end MLOps pipelines with Sagemaker, Airflow, or similar platforms.
  • Collaborate with engineers, data scientists, and stakeholders to gather requirements, ideate, and integrate AI solutions.
  • Enhance model accuracy and performance through data quality improvements and analysis.
  • Deploy scalable, cloud-native ML workloads on AWS using Docker, Kubernetes.
  • Mentor junior engineers on ML best practices.
  • Evaluate and integrate third-party tools, libraries, and products.
  • Develop and manage robust CI/CD pipelines. Provide technical leadership and stay current with ML advancements.
What You Bring:
  • 5+ years of professional experience in Python development and machine learning.
  • Strong understanding of MLOps practices and tools.
  • Experience deploying ML models in production environments.
  • Familiarity with TensorFlow, PyTorch, llamaindex, langchain.
  • Strong knowledge of language models, embedding models and vector databases.
  • Experience with FastAPI, Flask, Streamlit.
  • Experience with Git and CI/CD pipelines.
  • Strong problem-solving and debugging skills.
  • Experience with AWS, Azure, or GCP.
  • Relevant certifications such as AWS ML Specialty are a plus.
About Simeio and What We Do

Simeio has over 650 talented employees across the globe. We have offices in USA (Atlanta HQ and Texas), India, Canada, Costa Rica and UK.

Founded in 2007, and now backed by private equity company ZMC, Simeio is recognized as a top IAM provider by industry analysts.

Alongside Simeio’ s identity orchestration tool ‘Simeio IO’ - Simeio also partners with industry leading IAM software vendors to provide access management, identity governance and administration, privileged access management and risk intelligence services across on-premises, cloud, and hybrid technology environments.

Simeio provides services to numerous Fortune 1000 companies across all industries including financial services, technology, healthcare, media, retail, public sector, utilities and education.

Diversity & Inclusion

Simeio is an equal opportunity employer. If you require assistance with completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our recruitment team - [email protected].

About Your Application

We carefully review every application we receive. If your skills and experience match our needs, we’ll be in touch. If you don’t hear from us within 10 days, please don’t be discouraged-we may retain your application for future opportunities. We also encourage you to check our careers page for other openings

Simeio is an equal opportunity employer. If you require assistance with completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to any of the recruitment team at [email protected] or +1 404-882-3700.

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