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Salary
≈ $31k – $57k per year (Estimated)
Location
In office (Thiruvananthapuram)
Seniority
Architect · 8+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on May 15, 2026.

Overview
Company
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UST

UST is a digital transformation and technology services company that partners with clients to deliver AI-driven solutions and business outcomes. It hires data scientists, Salesforce integration specialists, Java, .NET and Node.js developers, mainly in Thiruvananthapuram, Kochi, Bengaluru and Hyderabad. The company is headquartered in Thiruvananthapuram, Kerala, India.

Who we are:

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact-touching billions of lives in the process. Visit us at .

Job Description - AI/ML Architect (Manufacturing Domain) Experience: 8+ Years Location: Any UST Location Employment Type: Full-Time

Role Overview We are looking for an experienced AI/ML Architect to design and implement end-to-end AI solutions for the manufacturing industry. The ideal candidate will have expertise in AI/ML, Industrial IoT (IIoT), cloud and edge computing, and data engineering to build scalable solutions for predictive maintenance, quality inspection, supply chain optimization, and smart manufacturing initiatives.

Key Responsibilities

  • Design and architect end-to-end AI/ML solutions for manufacturing use cases such as predictive maintenance, quality inspection, and production optimization.
  • Build scalable data pipelines for processing high-frequency industrial data from PLC, SCADA, ERP, and IoT systems.
  • Develop and deploy machine learning models on edge devices and cloud platforms to support real-time decision-making.
  • Design and implement computer vision solutions for automated optical inspection (AOI) and defect detection.
  • Architect Digital Twin solutions to simulate manufacturing processes and optimize production scenarios.
  • Establish MLOps practices, including CI/CD pipelines for model deployment, monitoring, retraining, and lifecycle management.
  • Collaborate with data engineers, data scientists, manufacturing teams, and business stakeholders to deliver AI-driven solutions.
  • Ensure system scalability, reliability, security, and compliance with manufacturing standards.
  • Evaluate emerging AI technologies and recommend innovative solutions for industrial automation.

    Required Skills
  • 8+ years of experience in Software Architecture, with at least 4 years focused on AI/ML solutions.
  • Strong experience with PyTorch, TensorFlow, and Scikit-learn.
  • Hands-on experience with Apache Spark and large-scale data processing.
  • Strong understanding of Industrial IoT (IIoT) protocols such as MQTT, OPC-UA, and Modbus.
  • Experience with Azure IoT Edge, AWS IoT Greengrass, or similar edge computing platforms.
  • Knowledge of NVIDIA Jetson or other edge AI hardware.
  • Experience with data engineering technologies such as Kafka, Snowflake, and Time-Series Databases (e.g., InfluxDB).
  • Strong understanding of MLOps, model deployment, monitoring, and CI/CD pipelines.
  • Experience with cloud-native AI architectures and distributed systems.
  • Strong analytical, problem-solving, and communication skills.

    Good to Have

    • Experience with Digital Twins and industrial simulation platforms.
    • Knowledge of Lean Manufacturing and Six Sigma methodologies.
    • Familiarity with manufacturing cybersecurity and ISO standards.
    • Experience working in Industry 4.0 or Smart Factory initiatives.

    Preferred Qualifications

    • Master's or PhD in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
    • Cloud certifications (AWS, Azure) or AI/ML certifications are an added advantage.

      Primary Skills: AI/ML Architecture, PyTorch, TensorFlow, Spark, MQTT, AWS IoT, Azure IoT Edge, IoT Edge, Kafka, Snowflake, Industrial IoT, MLOps, Computer Vision, Digital Twins.

      What we believe:

      We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do.

      Humility:

      We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

      Humanity:

      Through business, we will better the lives of those less fortunate than ourselves.

      Integrity:

      We honour our commitments and act with responsibility in all our relationships.

      Equal Employment Opportunity Statement

      UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

      All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

      USTreserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

      • To support and promote the values of UST.

      • Comply with all Company policies and procedures
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