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MAINTENANCE TECHNICIAN
MAINTENANCE TECHNICIAN
OSI ELECTRONICS's logo

MAINTENANCE TECHNICIAN

Nawaz Shah's profile picture
Posted by Nawaz Shah
1 - 11 yrs
₹16L - ₹23L / yr
MARLBOUROGH UNITED KINGDOM
Skills
Assembly
IT Solutioning
Time management
  • erform maintenance functions in a safe and profitable manner.
  • Perform and/or coordinate scheduled and unscheduled maintenance and repairs
  • Perform maintenance including troubleshooting and repair of CNC and manual manufacturing equipment
  • Perform and or coordinate scheduled and unscheduled maintenance/repairs of production support and facilities equipment, i.e. air compressors, fire extinguishing and sprinkler systems, forklifts, lifting equipment, HVAC system and filtration systems.
  • Install and/or oversee the installation and commissioning of new equipment. Troubleshoot, repair, and maintain all new and existing production and production support equipment.
  • Coordinate third party maintenance and support activities.
  • Work with departments to ensure maintenance activities are performed in alignment with production schedules.
  • Initiate and maintain records within the maintenance electronic tracking system and write SOP’s as required.
  • Ensure safety policies and procedures for performing maintenance activities are in place and comply with all State and Federal requirements.
  • Follow all building code requirements.
  • Maintain a safe, clean, and secure work area
  • Support 5S, lean and continuous improvement activities.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About OSI ELECTRONICS

Founded :
1979
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

OSI Electronics UK provides end-to-end / turnkey contract electronics manufacturing services for OEMs – including design, PCB assembly, box build and testing.
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Bengaluru (Bangalore)
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Location: Bangalore

Experience: Fresher-2 years

Type: Full-time | On-site

Open Roles: 2

Start: Immediate

Why this role exists

Most AI agents fail not because of models—

but because they sound wrong, behave inconsistently, and don’t handle real conversations.

This role exists to own the craft layer:

  • Make agents sound natural, human, and trustworthy
  • Make them reliable across real-world conversations
  • Make them fast to deploy without endless iteration cycles

What you’ll do

You will not just write prompts.

You will design conversational systems that perform in production.

1. Own conversational quality across deployments

  • Achieve 80%+ quality scores on insurer QA audits
  • Design conversations across:
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  • English
  • 3+ regional languages
  • Ensure agents sound:
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  • Consistent across interactions

2. Build a reusable prompt and workflow library

  • Reduce new workflow launch time from 3 weeks → 5 days
  • Create standardized:
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  • Objection handling patterns
  • Ensure new deployments do not start from scratch

3. Design human-like conversational behavior

  • Move agents from:
  • Scripted → adaptive
  • Robotic → human-like
  • Focus on:
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  • Personalization
  • The output should feel like:
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4. Improve agent performance continuously

  • Analyze:
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  • Iterate prompts and flows based on real usage data
  • Ensure performance improves across:
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  • Resolution
  • Customer experience

5. Reduce deployment friction

  • Minimize back-and-forth during agent setup
  • Create clarity in:
  • Requirements
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  • Expected outcomes
  • Enable faster, cleaner deployments with fewer iterations

6. Align conversations with business outcomes

  • Design conversations that drive:
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  • Retention
  • Resolution
  • Ensure prompts are not just “good”—they are effective

What success looks like

  • QA scores consistently ≥ 80% across languages
  • New workflows go live in ≤ 5 days
  • Agents sound natural and human-like
  • Iteration cycles reduce significantly
  • Conversation quality directly improves business outcomes

Who you are

  • You have 0-2 years of experience in conversation design, content, or AI prompting
  • You have worked on:
  • Chatbots / voice bots / conversational systems
  • You understand:
  • Language nuances
  • User psychology
  • Real-world conversation flows
  • You care about:
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  • Quality
  • Real user experience

What will make you stand out

  • Experience working with:
  • Multilingual conversational systems
  • Strong writing and structuring ability
  • Familiarity with:
  • LLM prompting techniques
  • Conversation analytics
  • Ability to debug:
  • Why a conversation failed, not just rewrite it

Compensation

Upto ₹50,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

  • You will define how AI agents actually feel to customers
  • Your work directly impacts:
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  • Conversion rates
  • Product perception
  • You will build the craft layer of an AI platform

What this role is not

  • Not generic content writing
  • Not static script creation
  • Not disconnected from real user interactions

What this role is

  • A designer of conversational systems
  • A builder of human-like AI experiences
  • A driver of quality and performance in AI agents

One question to self-evaluate

Can you design conversations that consistently feel human, handle edge cases, and drive outcomes at scale?


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We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.


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• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

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• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

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Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

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Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.


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• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.


What You'll Gain


• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

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Attaching the Job description for reference -

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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