AI/ML Engineer (US)

EdgeQ Technologies • Python • SQL • 17 days ago
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Salary
≈ $125k – $279k per year (Estimated)
Location
In office (San Francisco)
Seniority
Junior · 2+ years exp
Employment
Full-Time

First seen by Alion on Oct 5, 2026.

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EdgeQ Technologies

Founded in 2026, EdgeQ Technologies is a software development, staffing, and business services provider headquartered in Anantapur, Andhra Pradesh, India. The company delivers an integrated suite of technology and workforce solutions for startups and enterprises across domestic and international markets. Its core offerings span custom web and mobile application engineering, digital marketing, and business software products - including applicant tracking systems (ATS), custom CRMs, payroll, and billing platforms - alongside IT and non-IT recruitment, talent placement, and business process outsourcing (BPO) operations.
edgeqtechnologies.com • HQ: Anantapuram, India • 501-1000 employees • Est. 2026
Tech stack of EdgeQ Technologies

We are seeking an AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying machine learning and AI solutions across various locations in the United States.

Key responsibilities

  • Design, develop, and deploy machine learning and AI solutions.

  • Build and optimize ML models using Python, TensorFlow, and PyTorch.

  • Develop Generative AI and LLM-based applications.

  • Perform data preprocessing, feature engineering, and model evaluation.

  • Integrate AI models into scalable production applications.

  • Monitor and improve model performance, accuracy, and reliability.

Required qualifications

  • 2-7 years of experience in AI/ML engineering or a related field.

  • Strong Python programming and machine learning knowledge.

  • Hands-on experience with TensorFlow, PyTorch, Generative AI, or LLMs.

  • Understanding of deep learning, NLP, and model deployment.

  • Strong analytical, problem-solving, and communication skills.

Nice to have

  • Experience with AWS or other cloud platforms.

  • Familiarity with SQL and data processing pipelines.

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