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mlops engineer

Devsinc

<div>
 Devsinc is seeking an
 
 Associate AI Engineer
 
 who is passionate about building intelligent, production-grade AI solutions. In this role, you will work across the full machine learning lifecycle, from data pipelines to deploying scalable models and generative AI systems. You will have the opportunity to work on projects ranging from classic predictive models to cutting-edge LLM-powered applications. Passionate about MLOps and AI innovation? This is your perfect career kickstart!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and productionize machine learning models for classification, recommendation, and forecasting.
 </li>
 <li>
 Build and deploy scalable APIs and containerized services using Docker.
 </li>
 <li>
 Explore and implement Generative AI solutions, including RAG pipelines and agentic workflows with frameworks like LangChain/LangGraph.
 </li>
 <li>
 Engineer robust data pipelines to source, process, and feature-engineer data from SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
 </li>
 <li>
 Contribute to MLOps infrastructure, including CI/CD pipelines for training, validation, deployment, and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI-driven solutions into production systems.
 </li>
 <li>
 Stay up-to-date with industry trends in traditional ML, Generative AI, and MLOps practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
 </li>
 <li>
 6 months to 1 year of relevant experience (freelancing, or full-time)
 </li>
 <li>
 Proficiency in Python with a strong grasp of Object-Oriented Programming (OOP).
 </li>
 <li>
 Solid foundation in traditional ML concepts and libraries (e.g., scikit-learn, pandas).
 </li>
 <li>
 Hands-on experience with the LLM ecosystem (LangChain, LangGraph, Hugging Face, OpenAI APIs).
 </li>
 <li>
 Skilled in working with relational and non-relational databases (PostgreSQL, MongoDB).
 </li>
 <li>
 Experience deploying applications via REST APIs and containerization tools like Docker.
 </li>
 <li>
 Understanding of the end-to-end ML lifecycle, from data sourcing to monitoring.
 </li>
 <li>
 Strong problem-solving skills, a production-first mindset, and eagerness to learn emerging AI trends
 </li>
 <li>
 Collaborative - open to knowledge-sharing and teamwork
 </li>
 <li>
 Team Player - willing to support peers and contribute to collective success
 </li>
 <li>
 Growth Minded - eager to learn, improve, and adapt to emerging technologies
 </li>
 <li>
 Adaptable - flexible in dynamic, fast-paced environments
 </li>
 <li>
 Customer-Centric - focused on delivering solutions that create real business value
 </li>
 </ul>
</div>

Associate Software Engineer - Artificial Intelligence

Techeezy

Job Title: DevOps Engineer Location: Lahore Department: Backend Employment Type: Full-time Experience: 4-5 yearsAbout the RoleWe are seeking a skilled DevOps Engineer to join our backend team in Lahore. The ideal candidate will design, implement, and manage CI/CD pipelines, automate infrastructure, and ensure reliable deployment and performance of AI/ML systems and software applications.Key Responsibilities<ul><li>Design, implement, and maintain CI/CD pipelines for AI/ML models and software systems.</li><li>Build and manage scalable, secure, and high-availability cloud infrastructure (AWS, GCP, or Azure).</li><li>Automate deployment, monitoring, and scaling processes to improve reliability and efficiency.</li><li>Manage and optimize containerized environments using Docker and Kubernetes.</li><li>Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.</li><li>Monitor system health, manage incidents, and ensure the integrity of data and models.</li><li>Drive cost optimization, performance tuning, and security best practices across cloud environments.</li><li>Collaborate with cross-functional teams to streamline continuous integration and delivery workflows for AI-driven systems.</li><li>Contribute to system architecture design and security control implementations.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li><li>4&ndash;5 years of hands-on experience as a DevOps or MLOps Engineer.</li><li>Strong understanding of CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.</li><li>Proven experience with cloud platforms, preferably AWS or GCP.</li><li>Proficiency in Linux, Docker, and Kubernetes.</li><li>Solid scripting skills in Python, Bash, or Shell.</li><li>Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack, etc.).</li><li>Good understanding of data pipelines, version control (Git), and model deployment workflows.</li><li>Excellent problem-solving, communication, and collaboration skills.</li></ul>Preferred Qualifications<ul><li>Experience in system architecture design and security best practices.</li><li>Exposure to AI/ML model lifecycle management.</li><li>Knowledge of serverless architectures and microservices.</li><li>Experience with data engineering tools and practices.</li></ul>Please fill the form:https://forms.gle/78BqsJEHf7eF4fkt7Job Type: Full-timeWork Location: In person

Sr. DevOps Engineer

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div>
About the role:

Here, you&rsquo;ll join a structured, scalable-engineering team that collaborates across ML, data and product functions &mdash; and enjoys a culture that is open, flexible and far from traditional corporate rigidity.

What You&rsquo;ll Do
<ul>
<li>Design and build backend systems that power AI/ML workflows and GenAI-based agents.</li>
<li>Develop tools and platforms for model training, deployment, observability and monitoring.</li>
<li>Collaborate closely with ML scientists, data engineers and product teams to integrate AI features into real-world systems.</li>
<li>Ensure reliability, scalability and performance of the infrastructure &mdash; while maintaining flexibility to adopt the best tools and frameworks (Python, AWS, etc.).</li>
<li>Grow in understanding ML systems, pipelines and infrastructure, while owning meaningful components and contributing to major platforms.</li> 
</ul>
What We&rsquo;re Looking For
<ul>
<li>1-4 years of software engineering experience (backend-oriented) or relevant internship/project experience.</li>
<li>Strong fundamentals in software design, coding and distributed systems (Python is preferred).</li>
<li>Demonstrated curiosity about ML/AI systems, pipelines or infrastructure. MLOps experience is a plus but not required.</li>
<li>Excellent communication and collaboration skills, comfort working cross-functionally with ML, data &amp; product teams.</li>
<li>Self-starter mentality &mdash; eager to learn, iterate and own components.</li>
<li>Bachelor&rsquo;s degree in Computer Science, AI/ML, or comparable experience.</li>
</ul></div><div>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. 

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote</div></div>

Software Engineer, ML Infrastructure

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div>
About the role:

Here, you'll join a structured, scalable-engineering team that collaborates across ML, data and product functions &mdash; and enjoys a culture that is open, flexible and far from traditional corporate rigidity.

What You'll Do
<ul>
<li>Design and build backend systems that power AI/ML workflows and GenAI-based agents.</li>
<li>Develop tools and platforms for model training, deployment, observability and monitoring.</li>
<li>Collaborate closely with ML scientists, data engineers and product teams to integrate AI features into real-world systems.</li>
<li>Ensure reliability, scalability and performance of the infrastructure &mdash; while maintaining flexibility to adopt the best tools and frameworks (Python, AWS, etc.).</li>
<li>Grow in understanding ML systems, pipelines and infrastructure, while owning meaningful components and contributing to major platforms.</li> 
</ul>
What We're Looking For
<ul>
<li>1-4 years of software engineering experience (backend-oriented) or relevant internship/project experience.</li>
<li>Strong fundamentals in software design, coding and distributed systems (Python is preferred).</li>
<li>Demonstrated curiosity about ML/AI systems, pipelines or infrastructure. MLOps experience is a plus but not required.</li>
<li>Excellent communication and collaboration skills, comfort working cross-functionally with ML, data &amp; product teams.</li>
<li>Self-starter mentality &mdash; eager to learn, iterate and own components.</li>
<li>Bachelor's degree in Computer Science, AI/ML, or comparable experience.</li>
</ul><div>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here .

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote</div></div>

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div>
About the role:

You&rsquo;ll be part of a high-impact, highly collaborative team &mdash; building the backbone of ML/GenAI systems, while operating with the professionalism and scalability mindset of large engineering orgs, and the flexibility and culture of a modern tech company.

What You&rsquo;ll Do
<ul>
<li>Lead design and implementation of scalable backend systems supporting AI/ML workflows and GenAI-based agents.</li>
<li>Architect tools and platforms for model training, deployment, orchestration, monitoring, and observability.</li>
<li>Partner with ML scientists, data engineers and product leaders to define and deliver integration of AI features into production.</li>
<li>Drive reliability, performance, observability, and cost-efficiency in ML infrastructure at scale (AWS, Kubernetes, containers, etc.).</li>
<li>Mentor juniors, set best practices, enforce engineering standards, and contribute to architectural decisions across the stack.</li> 
</ul>
What We&rsquo;re Looking For
<ul>
<li>5-10 years of strong software engineering experience, especially in backend or infrastructure systems (distributed systems, APIs, microservices).</li>
<li>Robust coding experience (preferably Python) and solid familiarity with AWS or other cloud platforms. Comfortable with adopting and evaluating new frameworks/tools as needed.</li>
<li>Prior experience working with ML/AI systems, MLOps, pipelines or similar infra is strongly preferred.</li>
<li>Excellent demonstrated skills in system thinking, debugging, performance optimization and reliability engineering.</li>
<li>Strong collaborator and communicator, able to partner across functions and lead technical discussions.</li>
<li>Bachelor&rsquo;s degree (or higher) in CS, AI/ML or equivalent experience.</li>
</ul></div><div>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. 

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote</div></div>

Senior Software Engineer (ML Infrastructure)

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div>
About the role:

You'll be part of a high-impact, highly collaborative team &mdash; building the backbone of ML/GenAI systems, while operating with the professionalism and scalability mindset of large engineering orgs, and the flexibility and culture of a modern tech company.

What You'll Do
<ul>
<li>Lead design and implementation of scalable backend systems supporting AI/ML workflows and GenAI-based agents.</li>
<li>Architect tools and platforms for model training, deployment, orchestration, monitoring, and observability.</li>
<li>Partner with ML scientists, data engineers and product leaders to define and deliver integration of AI features into production.</li>
<li>Drive reliability, performance, observability, and cost-efficiency in ML infrastructure at scale (AWS, Kubernetes, containers, etc.).</li>
<li>Mentor juniors, set best practices, enforce engineering standards, and contribute to architectural decisions across the stack.</li> 
</ul>
What We're Looking For
<ul>
<li>5-10 years of strong software engineering experience, especially in backend or infrastructure systems (distributed systems, APIs, microservices).</li>
<li>Robust coding experience (preferably Python) and solid familiarity with AWS or other cloud platforms. Comfortable with adopting and evaluating new frameworks/tools as needed.</li>
<li>Prior experience working with ML/AI systems, MLOps, pipelines or similar infra is strongly preferred.</li>
<li>Excellent demonstrated skills in system thinking, debugging, performance optimization and reliability engineering.</li>
<li>Strong collaborator and communicator, able to partner across functions and lead technical discussions.</li>
<li>Bachelor's degree (or higher) in CS, AI/ML or equivalent experience.</li>
</ul><div>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here .

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote</div></div>

Sintov

About the RoleWe are looking for a highly skilled Data Scientist (AI/ML + Azure) to join our dynamic team. The ideal candidate will have a strong background in machine learning, data analytics, and cloud-based AI solutions&mdash;particularly using Microsoft Azure. You will design, build, and deploy end-to-end AI/ML models and data pipelines that drive business impact and innovation.Key Responsibilities<ul><li>Design, develop, and deploy AI/ML models and predictive analytics solutions using Azure Machine Learning and related services.</li><li>Build, optimize, and maintain data pipelines and ETL processes for large-scale datasets.</li><li>Collaborate with business stakeholders to translate requirements into data-driven solutions.</li><li>Conduct data wrangling, feature engineering, and model evaluation to ensure model robustness and accuracy.</li><li>Deploy and monitor models in production using MLOps best practices.</li><li>Utilize Azure Data Lake, Databricks, and Synapse Analytics for scalable data management and analysis.</li><li>Present insights and recommendations through data visualization and storytelling tools (e.g., Power BI, Tableau).</li><li>Continuously research and experiment with emerging AI technologies to enhance business processes.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li><li>5+ years of experience in Data Science or Machine Learning Engineering.</li><li>Hands-on experience with Azure AI/ML tools, including Azure Machine Learning, Databricks, Synapse, and Cognitive Services.</li><li>Strong programming skills in Python (NumPy, pandas, scikit-learn, PyTorch, TensorFlow).</li><li>Experience with SQL, data modeling, and data warehouse architectures.</li><li>Familiarity with MLOps, CI/CD, and version control (Git).</li><li>Solid understanding of statistics, probability, and experimental design.</li><li>Excellent problem-solving, communication, and collaboration skills.</li></ul>Preferred Qualifications<ul><li>Azure certifications such as Azure Data Scientist Associate (DP-100) or Azure AI Engineer Associate (AI-102).</li><li>Experience with LLMs (Large Language Models), Generative AI, or NLP-based solutions.</li><li>Exposure to Power BI, Tableau, or other visualization tools.</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs500,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Work Location: In person

Data Sceintist

Explore 257+ Mlops engineer in Lahore Pakistan this November. Find roles across top companies and apply now to boost your career.

257 mlops engineer jobs IN Lahore Pakistan

Associate Software Engineer - Artificial Intelligence

Sr. DevOps Engineer

Software Engineer, ML Infrastructure

Software Engineer, ML Infrastructure

Senior Software Engineer (ML Infrastructure)

Senior Software Engineer (ML Infrastructure)

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