project engineer

mep bim technician

mep coordination engineer

mep engineer

mep proposal engineer

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

Axix Technologies

Axix Technologies is a global software and AI company building enterprise-grade automation and intelligent vision systems. We&rsquo;re hiring a Machine Learning Engineer eager to grow fast in a high-tech, product-driven environment.Key Responsibilities<ul><li>Build and deploy ML pipelines for real-time AI and computer vision</li><li>Develop systems using Face Recognition, WebRTC, and LLM frameworks</li><li>Integrate scalable microservices using Docker Hub, Kubernetes, and Kafka</li><li>Design and maintain modular systems with microservice architecture and real-time data streaming</li></ul>Requirements<ul><li>BS/MS in Computer Science, software engineering , AI,</li><li>2+ years of proven industry ML/AI experience</li><li>Hands-on with PyTorch, TensorFlow, OpenCV, YOLOv8, YOLOv11, Django/ fast API / react/Next js</li><li>Strong understanding of MLOps, LangChain, and cloud deployment strategies</li></ul>Job Type: Full-timeWork Location: In person

AI & Computer Vision Engineer

MESI Group

We are looking for IT colleagues who are passionate about generative AI and machine learning, while maintaining a practical perspective on its application. You understand both the technological possibilities and limitations, and can distinguish hype from value.As an AI Engineer, you listen to users, build intelligent solutions, and clearly explain what AI can achieve. You quickly see how LLMs and machine learning can make a difference &mdash; from document processing and content generation to systems that support customers.Building a safe and usable AI application is not trivial.Key Responsibilities:<ul><li>Working with advanced technologies: Python, PyTorch, TensorFlow, Transformers (GPT), MS Copilot, High Performance Computing, Claude, Gemini, LLaMA, and more.</li></ul><ul><li>Researching how AI can be applied in a desirable, feasible, and safe manner within business processes, maintaining active and transparent dialogue with all stakeholders.</li></ul><ul><li>Collaborating with IT teams and other stakeholders to identify and implement LLM-driven solutions for business processes (e.g., intelligent chatbots, summarizing specialized documents, automated reporting).</li></ul><ul><li>Developing, training, optimizing, and managing neural networks and other machine learning models, both in the cloud and on on-premise HPC infrastructure.</li></ul><ul><li>Ensuring compliance with data protection and privacy regulations (e.g., GDPR) and ethical AI principles (EU AI Act).</li></ul><ul><li>Staying up to date with the latest developments in LLMs, Generative AI, and MLOps practices to guide infrastructure and service development</li></ul>Requirements:<ul><li>Master&rsquo;s degree in Artificial Intelligence, Data Science, Computer Science, or a related field, or equivalent experience.</li></ul><ul><li>Preferably 5 years of professional ICT experience with broad and deep knowledge of AI technologies, machine learning, and data analysis.</li></ul><ul><li>Practical experience implementing and managing LLMs (e.g., BERT, GPT, LLaMA) in production environments.</li></ul><ul><li>Skilled in MLOps tools (e.g., Kafka, MLflow, Kubeflow, Airflow) or willing to learn them.</li></ul><ul><li>Experience with on-premise infrastructure, including containerization (e.g., Docker, Kubernetes) and hardware optimization (e.g., GPU clusters).</li></ul><ul><li>Knowledge of CI/CD pipelines and version control systems (e.g., Jenkins, Git).</li></ul><ul><li>Strong understanding of data protection, privacy, and ethical AI considerations</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Current Salary?</li><li>Expected Salary?</li><li>When can you join?</li><li>Portfolio Links</li></ul>Work Location: In person

Generative AI & ML Expert

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 tags.new

<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>

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>

Senior Software Engineer (ML Infrastructure)

Cube Discipline

We are looking for an experienced Senior AI Engineer to lead the design, development, and deployment of advanced artificial intelligence and machine learning solutions. The ideal candidate should have a strong background in deep learning, NLP, computer vision, and large-scale model implementation.Key Responsibilities:<ul><li>Lead the end-to-end development of AI/ML models &mdash; from data collection and preprocessing to deployment.</li><li>Design and optimize deep learning architectures for NLP, computer vision, or predictive analytics projects.</li><li>Collaborate with cross-functional teams (data engineers, product managers, and software developers).</li><li>Implement and maintain MLOps pipelines for scalable model deployment.</li><li>Research and integrate state-of-the-art AI algorithms and large language models (LLMs).</li><li>Mentor junior engineers and review their work for quality and performance.</li><li>Ensure model interpretability, fairness, and compliance with data governance standards.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI/ML, Data Science, or related field.</li><li>3+ years of experience in AI/ML development and deployment.</li><li>Proficiency in Python and frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Strong understanding of machine learning algorithms, neural networks, and statistical modeling.</li><li>Hands-on experience with cloud AI platforms (AWS, Azure, GCP) and MLOps tools (Docker, Kubeflow, Airflow).</li><li>Excellent problem-solving, analytical, and leadership skills.</li></ul>Preferred Skills:<ul><li>Experience with Generative AI, LLMs, or prompt engineering.</li><li>Knowledge of data pipelines, big data tools (Spark, Hadoop).</li><li>Experience integrating AI models into production-grade applications.</li></ul>Job Type: Full-timeWork Location: In person

Sr AI Engineer

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