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machine learning engineer Jobs in Karachi

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machine engineer

Inovi Telecom (Pvt) Ltd

Job Title: Machine EngineerLocation: Korangi Industrial Area.Department: Manufacturing/EngineeringJob Summary: The Machine Engineer will be responsible for the design, installation, operation, maintenance, and improvement of the machinery and equipment used in the mobile phone assembly process. This role requires a deep understanding of mechanical and electronic systems, along with the ability to troubleshoot and resolve issues to ensure optimal performance of the production line.Key Responsibilities:Design and Development:<ul><li>Design and develop machinery and equipment required for mobile phone assembly.</li><li>Create detailed engineering drawings and specifications for new equipment and modifications to existing equipment.</li></ul>Installation and Commissioning:<ul><li>Oversee the installation and commissioning of new machinery.</li><li>Ensure that all equipment is installed according to specifications and operates correctly.</li></ul>Maintenance and Troubleshooting:<ul><li>Develop and implement maintenance schedules to ensure optimal performance and longevity of equipment.</li><li>Troubleshoot mechanical and electronic issues with machinery to minimize downtime.</li><li>Perform regular inspections and preventive maintenance.</li></ul>Process Improvement:<ul><li>Analyze production processes to identify opportunities for improvements in efficiency and quality.</li><li>Implement changes to machinery and processes to enhance productivity and reduce waste.</li></ul>Compliance and Safety:<ul><li>Ensure all machinery and equipment comply with industry standards and safety regulations.</li><li>Conduct risk assessments and implement safety measures to prevent accidents and injuries.</li></ul>Documentation and Reporting:<ul><li>Maintain detailed records of equipment specifications, maintenance activities, and performance metrics.</li><li>Prepare reports on equipment performance and recommend improvements.</li></ul>Collaboration and Support:<ul><li>Work closely with production, quality control, and other engineering teams to support manufacturing goals.</li><li>Provide technical support and training to machine operators and other staff as needed.</li><li>Create detailed engineering drawings and specifications for new equipment and modifications to existing equipment.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Mechanical Engineering, Electrical Engineering, or a related field.</li><li>6 months to 1 year of experience in a similar role, preferably in a mobile phone or electronics manufacturing environment.</li><li>Strong knowledge of mechanical and electronic systems used in assembly lines.</li><li>Proficiency in CAD software and other engineering tools.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Good communication skills and ability to work in a team environment.</li><li>Knowledge of safety standards and regulations in a manufacturing setting.</li></ul>Job Type: Full-timePay: Rs35,000.00 - Rs40,000.00 per monthWork Location: In person

Machine Engineer

Confiz

<div>We are seeking a Machine Learning Engineer with 3-7 years of experience in the field. The ideal candidate will have a strong foundation in low-level machine learning skills, data science, and advanced AI techniques. You will be working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other state-of-the-art toolchains. Additionally, familiarity with cloud operations will be beneficial. If you are passionate about pushing the boundaries of AI and enjoy working on complex challenges, we want to hear from you.
Responsibilities:
<ul><li>Design, implement, and optimize machine learning models and algorithms, focusing on low-level techniques and cutting-edge AI methodologies.</li>
<li>Develop and maintain data pipelines, perform exploratory data analysis, and apply data preprocessing techniques to ensure high-quality input for machine learning models. LLM &amp; RAG Implementation: Leverage and fine-tune Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems to create innovative solutions and enhance model performance.</li>
<li>Utilize and integrate modern toolchains and frameworks (e.g., TensorFlow, PyTorch, Hugging Face) to build and deploy machine learning models.</li>
<li>Manage and optimize machine learning workflows in cloud environments (e.g., AWS, Google Cloud, Azure), ensuring scalability and efficiency.</li>
<li>Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align on project goals and deliver high-impact solutions.</li>
</ul>
Requirements:
<ul><li>Minimum 3 years of professional experience in machine learning and AI engineering.</li>
<li>Proficiency in Python and relevant libraries (e.g., NumPy, pandas, scikit-learn). Strong understanding of machine learning algorithms, statistical analysis, and model evaluation techniques.</li>
<li>Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies, including fine-tuning and deployment.</li>
<li>Solid background in data science principles, including data preprocessing, feature engineering, and model selection.</li>
<li>Cloud Operations: Experience with cloud platforms (AWS, Google Cloud, Azure) and knowledge of cloud-based machine learning services and deployment strategies.</li>
<li>Familiarity with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and version control systems (e.g., Git).</li>
<li>Strong analytical and problem-solving skills, with the ability to tackle complex challenges and derive actionable insights.</li>
<li>Excellent communication skills, with the ability to present technical concepts clearly and effectively to non-technical stakeholders.</li>
<li>Experience working in an Agile or iterative development environment is a plus.</li>
</ul>
We have a global team of amazing individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. 
 
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. 
 
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. 
To know more about Confiz, visit: https://www.linkedin.com/company/confiz/</div>

Machine Learning Engineer

Arc Inventor

rc Inventador is a fast-growing technology company specializing in building scalable and innovative SaaS solutions for global clients. We focus on software development, cloud-based product engineering, and digital transformation. Our team is passionate about delivering intelligent platforms that solve real-world business challenges across multiple industries.As a Machine Learning Engineer, you will play a critical role in designing, developing, and deploying advanced NLP and conversational AI solutions. You will work on speech technologies, automation, and intelligent workflows, collaborating closely with backend engineers, product teams, and voice platform experts. This position requires strong technical expertise, hands-on coding skills, and a product-focused mindset.Key ResponsibilitiesNLP Development<ul><li>Build and deploy NLP pipelines for intent detection, entity extraction, sentiment analysis, and conversational flow management using libraries such as NLTK, spaCy, or Transformers.</li><li>Fine-tune and maintain language models to deliver domain-specific conversational experiences.</li></ul>Machine Learning &amp; Conversational AI<ul><li>Design and implement ML models for dialog management, FAQ automation, and multi-turn conversation flows across chat and voice platforms.</li><li>Prototype intelligent automation features including call summarization, intent routing, and IVR automation.</li></ul>Speech Technologies<ul><li>Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) systems (e.g., Whisper, Google STT/TTS, Amazon Polly).</li><li>Monitor and optimize speech model performance, latency, and reliability in production.</li></ul>Engineering &amp; Deployment<ul><li>Develop scalable ML APIs and microservices for production-grade applications.</li><li>Work with REST APIs for model integration and deployment.</li><li>Collaborate with engineers and product managers to deliver production-ready ML solutions.</li></ul>Data Handling &amp; Research<ul><li>Process, annotate, and analyze large-scale multilingual datasets for training and validation.</li><li>Document pipelines, workflows, and research findings to support knowledge sharing.</li></ul>Required Skills &amp; Experience<ul><li>Experience: 3&ndash;4 years in ML Engineering or NLP-focused roles.</li><li>NLP Expertise: Hands-on experience with NLTK, spaCy, Transformers, or similar NLP frameworks.</li><li>Machine Learning: Strong Python skills with PyTorch, TensorFlow, or scikit-learn.</li><li>Speech Technologies: Experience developing STT/TTS solutions (Whisper, Google STT/TTS, Amazon Polly, etc.).</li><li>APIs &amp; Deployment: Proficiency in working with REST APIs, microservices, and ML model deployment.</li><li>Version Control &amp; Agile: Solid understanding of Git, Agile/Scrum workflows, and collaborative development.</li><li>Coding Experience: Proven ability to write clean, maintainable, and scalable production code.</li><li>Data Handling: Exposure to large text/audio datasets for model training and evaluation.</li></ul>Job Type: Full-timeWork Location: In person

Arc Inventador is a fast-growing technology company focused on building scalable and innovative SaaS (Software as a Service) solutions for global clients. We specialize in software development, cloud-based product engineering, and end-to-end digital transformation. Our team is passionate about delivering high-performance platforms that solve real-world business challenges across multiple industries.The ML Engineer will be responsible for designing, developing, and deploying machine learning solutions focused on Natural Language Processing (NLP), conversational AI, and speech technologies. You will drive innovation in automation and intelligent workflows, collaborating closely with backend engineers, product teams, and voice platform specialists. This role demands both deep technical expertise in ML/NLP and a practical, product-centric mindset.Key Responsibilities<ul><li>Develop and deploy NLP pipelines for intent detection, entity extraction, sentiment analysis, and conversational flow management using NLTK, spaCy, or similar libraries.</li><li>Design and implement machine learning models to automate dialog management, FAQ handling, and multi-turn conversation flows for voice and chat channels.</li><li>Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) technologies (e.g., Whisper, Google STT/TTS, Amazon Polly).</li><li>Fine-tune and maintain language models for industry-specific conversational experiences.</li><li>Collaborate with software engineers and product owners to build scalable, production-ready ML APIs and microservices.</li><li>Analyze large, multilingual datasets and annotate data to train, validate, and optimize ML models.</li><li>Monitor and optimize model performance, latency, and reliability in production.</li><li>Prototype and implement intelligent automation features (e.g., call summarization, intent routing, IVR automation).</li><li>Document research findings, pipelines, and contribute to knowledge sharing within the team.</li><li>Stay abreast of the latest advancements in conversational AI, NLP, and speech processing.</li></ul>Required Skills &amp; Experience<ul><li>3&ndash;4 years of professional experience in ML Engineering or NLP-focused Data Science roles.</li><li>Proven hands-on experience with NLTK (and/or spaCy, Transformers) for NLP pipeline development.</li><li>Strong Python programming skills: familiarity with libraries such as scikit-learn, PyTorch, or TensorFlow.</li><li>Experience developing, deploying, and maintaining STT/TTS solutions for production (Whisper, Google STT/TTS, Amazon Polly, or similar).</li><li>Solid understanding of conversational AI, dialog management, and automation for contact center or voice platforms.</li><li>Experience working with REST APIs, microservices, and deploying ML models as web services.</li><li>Exposure to handling, processing, and annotating large-scale text/audio datasets.</li><li>Familiarity with Agile development, version control (Git), and collaborative workflows.</li></ul>Job Type: Full-timeWork Location: In person

SHAH QALIFIED LTD

Job Title: Senior Embedded/Firmware EngineerLocation: Karachi (onsite)Company: LIMI AIJob Description: We are seeking a Senior Embedded/Firmware Engineer with expertise in ESP32 (or similar MCUs), OTA updates, low-voltage power drivers, and sensor integration (motion, audio, camera). Strong skills in C/C++, FreeRTOS, and embedded machine learning integration are required.Responsibilities:<ul><li>Develop and maintain firmware for ESP32 and similar microcontrollers.</li><li>Implement OTA firmware update solutions.</li><li>Design and optimize low-voltage power drivers.</li><li>Integrate motion, audio, and camera sensors into embedded systems.</li><li>Deploy embedded ML solutions on resource-constrained devices.</li><li>Write efficient C/C++ code and perform debugging.</li></ul>Qualifications:<ul><li>5+ years of embedded firmware development experience with ESP32 or similar MCUs.</li><li>Proficiency in C/C++ and FreeRTOS.</li><li>Experience in OTA updates and low-voltage power management.</li><li>Sensor integration experience (motion, audio, camera).</li><li>Familiarity with embedded machine learning integration.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs300,000.00 per monthWork Location: In person

Senior Embedded/Firmware Engineer

Icon Plus

Department: Maintenance Reports To: Maintenance Head Job Title: Machine Maintenance EngineerKey Responsibilities:<ul><li>Perform preventive and corrective maintenance of machines and equipment.</li><li>Troubleshoot mechanical, electrical, and hydraulic issues to minimize downtime.</li><li>Maintain maintenance schedules and logs.</li><li>Ensure compliance with safety and operational standards.</li><li>Coordinate with production teams to support smooth operations.</li><li>Suggest improvements for machine performance and reliability.</li></ul>Requirements:<ul><li>Diploma in Mechanical/Electrical/Mechatronics Engineering.</li><li>2&ndash;5 years of relevant maintenance experience in manufacturing/industrial setup.</li><li>Strong knowledge of mechanical systems, PLCs, hydraulics, and pneumatics.</li><li>Good problem-solving and analytical skills.</li></ul>Willingness to work in shifts and under pressure.Location: SITE Industrial Area, Salary: 30K to 35K Benefits: As per the company policy.Job Type: Full-timePay: Rs30,000.00 - Rs35,000.00 per monthWork Location: In person

Machine Maintenance Incharge

Coca-Cola CCI

<div>
 
 
 
 Engineer, Karachi, Pakistan
 
 
 
 
 Join us to take your career journey to the next level!
 
 
 
 
 
 
 #ProudlyCCI
 
 
 
 
 
 
 
 
 
 
 Job Identification
 
 
 
 
 We are looking for an Engineer to be part of our Supply Chain Team in Karachi.
 
 
 
 
 
 
 
 What We Expect
 
 
 
 <ol>
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 Ensure the product and package quality remains at the required quality by the organization. Custodian of Quality related records.
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 Responsible for the product release based on quality results
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 To oversee line start-up and shutdown procedures to ensure that the product is within specification
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 Manage the daily quality reports from the quality control staff and take corrective measures if required. Carry out tests specified in daily quality plans and work plans within the assigned department
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 Update the corrective actions plan which has been developed after conducting quality audit.
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 To check accuracy and condition of testing equipment on a regular basis and to guide lab staff accordingly.
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 Ensure date code policy implemented. Retention samples are well kept and records available
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 Consumer response survey analysis &amp; report to management
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 Make inspection of incoming raw material. In case of any dissatisfaction arises due to the quality matters pursue the suppliers if required
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 Ensure the effective Implementation of quality &amp; food safety established systems during production
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 Ensure compliance of all safety and environment as per established procedures and specifications
 </li>
 </ol>
 
 
 
 Qualifications
 
 
 
 
 A four-year engineering degree, preferably in Chemical or Food Engineering, or a master&rsquo;s degree in applied chemistry, Industrial Chemistry, or Food Science.
 
 
 
 
 
 What We Embrace
 
 
 
 
 <ul>
 <li>
 &ldquo;People Centered&rdquo; Focus
 </li>
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 Equal Salary Advocate
 </li>
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 A Globally Diverse/An International Workplace
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 Inclusive Team-Building Activities
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 Digital Learning Opportunities
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 Leadership Exposure With Organizational Events
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 Inclusive Language And Culture
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 Social Clubs/Networks
 </li>
 <li>
 Inclusive/Family-Friendly Policies
 </li>
 </ul>
 
 
 
 
 Who We Are
 
 
 
 
 
 
 
 
 CCI is a multinational beverage company operating in T&uuml;rkiye, Pakistan, Kazakhstan, Iraq, Uzbekistan, Bangladesh, Azerbaijan, Kyrgyzstan, Jordan, Tajikistan, Turkmenistan, and Syria. We produce, distribute, and sell sparkling and still beverages, serving a population of 600 million people with more than 10,000 employees across 33 bottling plants and 3 fruit processing plants in 12 countries.
 
 
 At CCI, we are committed to creating value for our employees, customers, consumers, and communities. As a Top Employer certified company, we put people at the heart of everything we do. With our vision to become the best FMCG company, we achieve success through our One Team spirit, guided by our shared values of passion, integrity, accountability, and teamwork. Our ambition is to be a great place to work&mdash;an inclusive, diverse, and inspiring organization with strong leadership and organizational capabilities.
 
 
 We foster a culture of diversity and inclusion in everything we do. As the fourth company to obtain the EQUAL-SALARY global certification, we take pride in being an Equal Opportunity and Affirmative Action employer across all our markets.
 
 
 We take responsibility for the future with our Sustainability Commitments for 2030. Our roadmap focuses on six key areas: packaging, water, and climate in environmental sustainability; and human rights, diversity &amp; inclusion, and community investment in social sustainability. By 2030, we aim for 35% of newly hired individuals, 40% of managerial positions, and 50% of executive committee members to be women.
 
 
 
 We're an equal opportunity employer. All applicants will be considered for employment without attention to race, sex, color, national or social origin, ethnicity, religion, age, pregnancy, disability, sexual orientation, gender expression, or political opinion.
 
 
</div>

Engineer

Explore 230+ Machine engineer in Karachi this September. Find roles across top companies and apply now to boost your career.

230 machine engineer jobs IN Karachi

Machine Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Senior Embedded/Firmware Engineer

Machine Maintenance Incharge

Engineer