devops engineer

sales engineer

software engineer

mechanical engineer

engineering manager

machine learning engineer

Confiz

<div><p>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.</p>
<p><b>Responsibilities:</b></p>
<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>
<p><b>Requirements</b><b>:</b></p>
<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>
<p>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.<br>
<br>
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.<br>
<br>
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.<br>
To know more about Confiz, visit: https://www.linkedin.com/company/confiz/</p></div>

Machine Learning Engineer

Arc Inventor

<p>Arc Inventador is a fast-growing technology company focused on building scalable and innovative <b>SaaS (Software as a Service)</b> 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.</p><p>The ML Engineer will be responsible for designing, developing, and deploying machine learning solutions focused on <b>Natural Language Processing (NLP), conversational AI, and speech technologies</b>. 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.</p><p>Key Responsibilities</p><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><p>Required Skills &amp; Experience</p><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 <b>NLTK</b> (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><p>Job Type: Full-time</p><p>Work Location: In person</p>

Inoviotech

<p><b>Job Title:</b> Senior AI Engineer</p><p><b>Location:</b> Karachi / Onsite<br/><b>Timings</b> Evening / Morning</p><p><b>Job Description:</b></p><p>We are seeking an experienced <b>Senior AI Engineer</b> to design, develop, and deploy advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will have deep technical expertise, strong problem-solving skills, and a passion for building scalable AI systems that deliver measurable business impact.</p><p><b>Key Responsibilities</b></p><ul><li>Design, build, and optimize AI/ML models for a variety of use cases (NLP, computer vision, recommendation systems, predictive analytics, etc.).</li><li>Lead end-to-end solution development: data collection, preprocessing, model design, training, evaluation, and deployment.</li><li>Collaborate with cross-functional teams (Data Engineering, Product, DevOps) to integrate models into production systems.</li><li>Research and experiment with emerging AI technologies, frameworks, and tools.</li><li>Review code, provide mentorship, and promote best practices within the AI/ML team.</li><li>Monitor model performance, retraining as needed, and ensure scalability and reliability.</li><li>Prepare technical documentation and present findings to stakeholders.</li></ul><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field (Ph.D. preferred).</li><li>5+ years of experience in AI/ML development, with at least 2 years in a senior/lead role.</li><li>Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.</li><li>Strong understanding of algorithms, data structures, and statistics.</li><li>Experience with data pipelines, cloud platforms (AWS/GCP/Azure), and MLOps tools.</li><li>Excellent problem-solving, analytical, and communication skills.</li><li>Ability to work independently and guide junior engineers.</li></ul><p><b>Nice-to-Have</b></p><ul><li>Experience with LLMs, generative AI, or reinforcement learning.</li><li>Knowledge of big data tools (Spark, Hadoop) or streaming systems (Kafka).</li><li>Contributions to open-source AI/ML projects.</li></ul><p><b>Benefits</b> <i>(optional)</i></p><ul><li>Competitive salary</li><li>Health insurance</li><li>Professional development opportunities</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>How many years of experience do you have in designing and deploying AI/ML solutions?</li><li>Which AI/ML frameworks are you most proficient in (e.g., TensorFlow, PyTorch, Scikit-learn)?</li><li>Rate your proficiency (1&ndash;5) in:</li></ul><p>Python</p><p>Cloud platforms (AWS / GCP / Azure)</p><p>MLOps / CI-CD for ML</p><ul><li>Describe one complex AI problem you solved and the impact of your solution. (Short answer)</li><li>What is your current notice period?</li><li>Current Salary?</li><li>Expected Salary?</li></ul><p>Work Location: In person</p>

Senior AI Engineer

Liquid Technologies

<p>We are looking for an experienced and innovative <b>AI Automation Engineer</b> to design, develop, and deploy intelligent automation solutions across our business processes. The ideal candidate will have hands-on experience with artificial intelligence, machine learning, and RPA tools, and will play a key role in streamlining operations through advanced automation strategies.</p><p><b>Key Responsibilities</b></p><ul><li>Develop and maintain backend services and APIs using <b>Node.js and Python</b>.</li><li>Build integrations with <b>third-party APIs and services</b>.</li><li>Create and manage <b>automation workflows</b> using n8n, Zapier, and similar tools.</li><li>Work with <b>OpenAI APIs</b> to integrate AI-driven solutions into applications.</li><li>Assist in building <b>RAG pipelines</b> to connect large language models with external knowledge sources.</li><li>Collaborate with frontend teams for seamless integrations.</li><li>Participate in debugging, testing, and issue resolution.</li><li>Use <b>Git/GitHub</b> for version control and follow standard coding practices.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.</li><li><b>2+ years of experience</b> in backend or full stack development.</li><li>Hands-on experience with <b>Node.js and Python</b>.</li><li>Good understanding of <b>databases</b> (MySQL, PostgreSQL, MongoDB, etc.).</li><li>Experience with <b>REST APIs</b> and web integrations.</li><li>Familiarity with <b>automation platforms</b> (n8n, Zapier, Integromat/Make).</li><li>Basic understanding of <b>AI APIs (OpenAI, LangChain, etc.)</b>.</li><li>Strong problem-solving and debugging skills.</li></ul><p><b>Nice to Have</b></p><ul><li>Exposure to <b>RAG concepts</b> (vector databases, embeddings, document search).</li><li>Basic experience with <b>frontend frameworks</b> (React, Vue, or Angular).</li><li>Knowledge of <b>CI/CD basics</b> (GitHub Actions, GitLab CI, etc.).</li><li>Understanding of <b>cloud basics</b> (AWS/GCP/Azure).</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Do you have 3+ years of experience in AI/ML or automation engineering?</li><li>Have you deployed machine learning models into production automation workflows?</li><li>How many years of experience do you have with RPA platforms (UiPath, Automation Anywhere, Blue Prism)?</li><li>Do you have hands-on experience with cloud platforms (AWS, Azure, GCP)?</li><li>What's your current salary?</li><li>What's your expected salary?</li><li>If selected, how soon can you join us?</li><li>Are you comfortable to commute to Zamzama?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Work Location: In person</p>

AI Automation Engineer

Contour Software

<div><div>About Contour</div><div></div><div><div>
Contour Software</div> has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</div><div><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</div><div><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</div><div></div><div>
We are seeking a highly skilled AI Engineer/Developer to join our technology team. This role bridges advanced machine learning engineering with practical application development. The ideal candidate will design, build, and deploy AI/ML models, while also integrating them into scalable, user-facing products. You&rsquo;ll work across the full lifecycle&mdash;from data preparation and model training to coding APIs and embedding AI features into production systems.</div><div></div><div>
Key Responsibilities</div><div>
Model Development &amp; Engineering<br>
Build, train, and optimize machine learning models for various business use cases.<br>
Develop robust data pipelines to ensure clean, reliable inputs for AI systems.<br>
Deploy models into production environments with attention to scalability and performance.<br>
Application Development &amp; Integration<br>
Translate models into usable features within customer-facing or internal applications.<br>
Build APIs, SDKs, and service endpoints for AI-driven functionality.<br>
Collaborate with front-end and back-end engineers to embed AI seamlessly into products.<br>
Operational Excellence<br>
Implement monitoring, testing, and retraining strategies to keep AI systems reliable.<br>
Follow MLOps and DevOps best practices for continuous integration and deployment.<br>
Document workflows and contribute to internal knowledge sharing.</div><div><br>
Skills &amp; Qualifications</div><div>
Strong programming skills in Python or similar languages.<br>
Hands-on experience with ML frameworks (TensorFlow, PyTorch, Hugging Face, scikit-learn).<br>
Proficiency in building and consuming REST APIs.<br>
Knowledge of cloud platforms (particularly Azure) for model deployment.<br>
Solid understanding of data structures, algorithms, and software engineering practices.<br>
Familiarity with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) is a plus.<br>
Strong problem-solving mindset and ability to move between research, engineering, and application contexts.</div><div><br>
Desired Experience</div><div>
3&ndash;6 years in software engineering, machine learning engineering, or related roles.<br>
Experience integrating AI/ML models into production systems at scale.<br>
Exposure to product development cycles and agile practices.</div><div>
Exciting Benefits we offer:</div><ul><li><div>
Market-leading Salary</div></li><li><div>
Medical Coverage &ndash; Self &amp; Dependents</div></li><li><div>
Parents Medical Coverage</div></li><li><div>
Provident Fund</div></li><li><div>
Employee Performance-based bonuses</div></li><li><div>
Home Internet Subsidy</div></li><li><div>
Conveyance Allowance</div></li><li><div>
Profit Sharing Plan [Tenured Employees Only]</div></li><li><div>
Life Benefit</div></li><li><div>
Child Care Facility</div></li><li><div>
Company Provided Lunch/Dinner</div></li><li><div>
Professional Development Budget</div></li><li><div>
Recreational area for in-house games</div></li><li><div>
Sporadic On-shore training opportunities</div></li><li><div>
Friendly work environment</div></li><li><div>
Leave Encashment</div></li></ul><div></div><div><i>
Disclaimer:</i><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></div><div></div><div><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></div></div><div></div>

AI Engineer / Developer

Logicsols

<p>Must-Have Skills &amp; Experience</p><ul><li>5+ years professional experience in Machine Learning / Data Science / ML Engineering.</li></ul><ul><li>Strong proficiency in Python (pandas, NumPy, scikit-learn).</li></ul><ul><li>Hands-on experience with machine learning frameworks (PyTorch or TensorFlow).</li></ul><ul><li>Solid SQL skills and comfort working with large, messy enterprise datasets.</li></ul><ul><li>Proven track record of taking AI/ML solutions from prototype to production.</li></ul><ul><li>Experience deploying models as APIs (FastAPI, Flask, or similar) and packaging with Docker.</li></ul><ul><li>Practical knowledge of time-series forecasting and predictive modeling.</li></ul><ul><li>Experience with mathematical optimization (linear programming, OR-Tools, Pyomo, or equivalent).</li></ul><ul><li>Strong data engineering capability: building ETL pipelines and feature engineering.</li></ul><ul><li>Ability to work end-to-end across the ML lifecycle (data &rarr; model &rarr; deployment &rarr; monitoring).</li></ul><ul><li>Comfortable working as a solo contributor in a fast-paced startup environment.</li></ul><ul><li>Strong communication skills: able to explain technical work in terms of business outcomes.</li></ul><p>Job Type: Full-time</p><p>Experience:</p><ul><li>Machine Learning / Data Science / ML Engineering: 5 years (Preferred)</li></ul><p>Work Location: In person</p>

Senior AI/ML Engineer (Full-Stack)

Progziel Technologies

<p><b>Job Title: AI Developer &ndash; Night Shift (Onsite, Karachi)</b></p><p><b>Company Overview</b><br/>A leading technology company in <b>PECHS, Karachi</b> is seeking a highly skilled and motivated <b>AI Developer</b> to join our innovative team. We specialize in building advanced digital solutions, and this role offers an exciting opportunity to work on <b>cutting-edge artificial intelligence projects</b> in a fast-paced environment.</p><p><b>Position Overview</b><br/>As an AI Developer, you will be responsible for designing, developing, and deploying advanced AI and machine learning models. You will collaborate with cross-functional teams to build intelligent systems that address complex business challenges, enhance efficiency, and drive innovation across our products.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and implement <b>machine learning and deep learning models</b></li><li>Build and optimize <b>AI algorithms</b> for real-world problem-solving</li><li>Perform <b>data preprocessing, feature engineering, and model evaluation</b></li><li>Enhance and maintain existing AI solutions for better performance</li><li>Collaborate with product managers, engineers, and data scientists on project requirements</li><li>Conduct rigorous <b>testing, debugging, and validation</b> of AI systems</li><li>Document technical processes, workflows, and model architectures</li></ul><p><b>Requirements</b></p><ul><li><b>3&ndash;4 years of professional AI development experience</b></li><li>Strong programming skills in <b>Python</b></li><li>Hands-on experience with <b>TensorFlow, PyTorch, and ML/DL frameworks</b></li><li>Solid understanding of <b>AI algorithms, model development, and optimization techniques</b></li><li>Experience with <b>cloud platforms</b> (AWS, Google Cloud, or Azure)</li><li>Strong analytical, problem-solving, and debugging skills</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Artificial Intelligence, or related field</b></li></ul><p><b>Work Details</b></p><ul><li><b>Location:</b> PECHS, Karachi (Onsite)</li><li><b>Shift:</b> Night (9 PM &ndash; 6 AM, Monday to Saturday)</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Proven track record of <b>deployed AI solutions</b></li><li>Familiarity with <b>natural language processing (NLP), computer vision, or reinforcement learning</b></li><li>Relevant <b>AI certifications</b> (TensorFlow, AWS ML, etc.)</li></ul><p><b>Note:</b> Applicants must be prepared for an <b>intensive technical interview</b> and <b>hands-on coding assessment</b>.</p><p>Job Type: Full-time</p><p>Pay: Up to Rs150,000.00 per month</p><p>Work Location: In person</p>

Job Title: AI Developer – Night Shift (Onsite, Karachi)

Explore 406+ Machine learning engineer in Karachi this September. Find roles across top companies and apply now to boost your career.

406 machine learning engineer jobs IN Karachi

Machine Learning Engineer

Machine Learning Engineer

Senior AI Engineer

AI Automation Engineer

AI Engineer / Developer

Senior AI/ML Engineer (Full-Stack)

Job Title: AI Developer – Night Shift (Onsite, Karachi)