AI Automation Engineer

embIND Embitel Technologies (India) Private Limited

Bengaluru

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Benefits offered by this job

Work-life balance
Continuous learning opportunities
Supportive work culture

Job summary

embIND Embitel Technologies (India) Private Limited is looking for an Automation & AI Engineer to join our team. This hands-on role involves designing and developing Python-based automation and AI/ML solutions, requiring strong backend skills.

Ideal candidates have 3-5 years experience with Python, REST APIs, and AI/ML frameworks like TensorFlow or PyTorch. We value independence, effective communication, and a supportive work culture.

Qualifications

  • 3-5 years of backend/automation experience in Python.
  • Hands-on AI/ML experience with various libraries.
  • Familiarity with Docker and Kubernetes is a plus.

Responsibilities

  • Design and develop Python-based frameworks and services.
  • Build and deploy AI/ML solutions in cloud environments.
  • Integrate applications with SSO and OAuth2.0.

Skills

Python
REST APIs
AI/ML (PyTorch, TensorFlow)
CI/CD pipelines
Docker

Education

Bachelor's degree in Computer Science or related field
Master's degree in AI/ML or Data Science
Python certification
AI/ML certifications
Microsoft Azure Fundamentals

Tools

Microsoft Azure
Git
JIRA
Confluence

Job description

Job Title

Automation & AI Engineer (Individual Contributor)

Role Overview

We are seeking a highly skilled Automation & AI Engineer to join our engineering team as an Individual Contributor (IC). This role focuses on designing and building secure, scalable Python‑based automation solutions and AI/ML‑powered applications that integrate across enterprise systems and cloud environments. This is a hands‑on engineering role with ownership of design, development, integration, and deployment activities.

Key Responsibilities
  • Design, develop, and maintain Python‑based automation frameworks and backend services.
  • Develop and integrate RESTful APIs for internal systems and third‑party applications.
  • Build AI/ML‑driven solutions such as anomaly detection, classification, and intelligent automation.
  • Deploy automation and AI solutions in Microsoft Azure cloud environments (basic knowledge required).
  • Integrate applications with OAuth2.0, OpenID Connect, and enterprise SSO systems.
  • Implement and maintain CI/CD pipelines (Jenkins, Puppet, Azure DevOps).
  • Write production‑grade code with logging, testing, and documentation.
  • Collaborate with globally distributed teams across multiple geographies.
Required Technical Skills
  • Strong proficiency in Python (3.x) with 3–5 years of backend/automation experience.
  • Experience with REST APIs, JSON/XML, and token‑based authentication.
  • Hands‑on AI/ML experience with PyTorch, TensorFlow, Scikit‑learn, Pandas, NumPy.
  • Experience in data preprocessing, feature engineering, and model evaluation.
  • Experience deploying ML models as REST services or microservices.
  • Familiarity with MLOps concepts and model lifecycle management.
  • Experience with Git, CI/CD pipelines, Linux/WSL environments.
  • Basic knowledge of Microsoft Azure deployment and IAM concepts.
  • Familiarity with Docker; Kubernetes is a plus.
Education & Certifications
  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related technical field OR equivalent practical industry experience.
  • Master’s degree in AI/ML or Data Science is a plus.
  • Python certification (PCAP, PCEP, or equivalent).
  • AI/ML certifications (TensorFlow Developer, Azure AI Fundamentals, etc.).
  • Microsoft Azure Fundamentals (AZ‑900) or related cloud certification.
  • DevOps or CI/CD related certifications.
Nice to Have
  • Experience with Power Automate or Power BI.
  • Basic understanding of vulnerability management concepts.
  • Familiarity with JIRA and Confluence.
  • Experience in large‑scale enterprise or Automotive environments.
Soft Skills
  • Strong analytical and problem‑solving mindset.
  • Ability to work independently as a strong Individual Contributor.
  • Ownership‑driven approach to design and delivery.
  • Effective communication with technical and non‑technical stakeholders.
  • Experience working across multiple geographies and time zones.
Benefits

Freedom to challenge norms, make mistakes, learn and grow. No hierarchy; employees are partners of our excellence and growth. A supportive, inclusive work culture with emphasis on work‑life balance and continuous learning and development opportunities.

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