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

Intellias

<div>
 
 
 
 Project overview
 
 
 
 
 Are you a skilled Machine Learning engineer with a passion for Computer vision, NLP or Generative AI? Do you have a knack for understanding both the technical intricacies and the business implications of data-driven solutions? If so, we have an exciting opportunity for you to join our team as machine Learning Engineer
 
 
 
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Strong experience in Computer Vision, NLP, Generative AI demonstrated through relevant projects or research.
 </li>
 <li>
 Proficiency in programming languages such as Python and libraries/frameworks like TensorFlow, PyTorch, OpenCV, spaCy, etc. and cloud AI services Aws/Azure/GCP
 </li>
 <li>
 Proven ability to bridge the gap between technical concepts and business impact, with a clear understanding of how data science aligns with business goals.
 </li>
 <li>
 Excellent communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 Nice to have
 
 
 
 <ul>
 <li>
 GCP Professional Machine Learning Engineer certification (not older than a year)
 </li>
 <li>
 Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
 </li>
 </ul>
 
 
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Drive/Participate the ideation, development, and execution of POCs and AI related project
 </li>
 <li>
 Develop and implement machine learning models, algorithms, and data-driven solutions to address complex business problems
 </li>
 <li>
 Collaborate cross-functionally with engineering, product management, and other relevant teams to integrate data-driven functionalities into our products.
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

Specright

<div>Job Title: Machine Learning Engineer
Application Deadline: All applications must be submitted by 2025-09-13
Job Summary
Specright is seeking a highly motivated and talented Machine Learning Engineer to join the Shared Services team. As a Machine Learning Engineer, you will have the opportunity to design, develop, and maintain scalable cloud-based ML pipelines, evaluate and provide recommendations based on best practices, and collaborate with other technical team members.
Specright offers cloud-based software (SaaS) for specification data management to Enterprise and Mid-Market level companies with complex needs. Whether it's packaging, formulas, or products, Specright helps companies reduce costs and empower efficiencies by sharing, analyzing and auditing specifications.
Responsibilities and Duties<ul><li>
Design, implement, and maintain ML pipelines to support machine learning model validation and deployment in a cloud-based environment</li><li>
Optimize and enhance existing machine learning systems and data pipelines for improved performance and scalability</li><li>
Collaborate effectively with technical team members to define system requirements and deployment strategies</li><li>
Provide support and troubleshooting to engineers and customers for new and existing deployments</li><li>
Provide support and guidance to other AI/ML team members</li></ul>
Qualifications<ul><li>
Highly experienced in designing and managing scalable ML pipelines in a cloud-based environment such as AWS</li><li>
Experience with scripting languages such as Python and Bash</li><li>
Experience with CI/CD platforms such as Jenkins</li><li>
Experience with NLP (e.g. classification, NER, etc.), LLMs, or Computer Vision (e.g. recognition, detection, segmentation)</li><li>
Ability to code, test, and debug service issues at multiple levels within a stack using multiple languages and platforms</li></ul>
Preferred Qualifications<ul><li>
B.S. or M.S. in Computer Science, Electrical Engineering, or related fields</li><li>
Deep understanding of cross-functional AWS services and organizational cloud management</li></ul>
About Specright
Specright is the first purpose-built, patented platform for Specification Management. Whether it's
packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. Recognized as a leader in Specification Management, Specright was named to the Deloitte Fast Technology 500 list in 2024, one of Fast Company's Most Innovative Companies for 2023, had three executives honored as SupplyDemand Chain Executive Pros to Know in 2023 and won Food Logistics' 2022 Top SoftwareTechnology Provider award. For more information, visit: www.specright.com.
Location
Cairo, Egypt.
Culture
We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas and information. It's more important to innovate, then worry about making mistakes.
Perks<ul><li>
Competitive salaries</li><li>
Flexible work hours</li><li>
Full benefits package that includes Medical, Vision, and Dental</li></ul></div>

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>

BayOne Solutions

Job Role Summary: 
Position: Machine Learning Engineer
 
Location: Remote (India).
 
Type: Full-time (with BayOne).
 
Work Time : IST (02.00 PM to 10.00 PM IST).
 
Key Skills & Experience: 
Proficiency with ML frameworks (TensorFlow, PyTorch)
 
NLP and Large Language Models (LLMs) experience
 
Strong understanding of generative models and applications
 
Programming skills in Python, Go, or Java
 
API development and model integration expertise
 
Familiarity with Docker, Kubernetes Knowledge of CI/CD pipelines, databases, data lakes, or real-time data processing tools

Central Insurance

Location: Van Wert, OH or Dublin, OH
 We’re a team of employees who are passionate about delivering best-in-class customer service and innovation in the industry. We prioritize integrity, relationships, and excellence in all aspects of our work.
 
Our employees can fully utilize their talents and bring their best selves to work. We believe who you are is just as important as what you do!
 
The data science center of excellence team at Central is looking for a passionate machine learning engineer to work on AI/ML solutions in support of our business stakeholders at Central. As a Machine Learning Engineer, you will be responsible for deploying models in the cloud as well as on-premises, shared Python frameworks, and data pipelines that integrate AI/ML models with Central’s system and customer-facing applications. Focusing on AI/ML model training and inference pipelines, you will use your technical skills, as well as your domain expertise, to develop innovative solutions. If you have a desire to deliver business value through technology designs in an environment that will allow you to grow and innovate, we will be delighted to have you.
 How You’ll Make an Impact
 <ul>
<li>Develop machine learning workflows and end-to-end pipelines for data preparation, training, deployment, monitoring and ensure that the quality of architecture and designs of machine learning systems based on established policies</li>
<li>Conducts statistical analysis, including predictive and prescriptive modeling</li>
<li>Build effective monitoring to monitor the health of your system, and jump in to handle outages of models in production</li>
<li>Collaborate closely with product teams to lead and own API development, maintaining machine learning infrastructure, and seamlessly integrating machine learning features into products</li>
<li>Consult with data engineers in the development of data pipelines, packages, and tools that the data science team utilizes as a key stakeholder</li>
<li>Technical and programmatic support through the entire project life cycle including concept development, system definition, acquisition planning, source selection, system design, development, integration and test, system delivery, and deployment</li>
<li>Build production-grade solutions to scale, manage, and serve machine learning models and data science solutions</li>
<li>Write and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manual, formal recommendations and reports</li>
</ul>
What You’ll Bring
 <ul>
<li>Master’s degree in computer science, engineering, applied statistics or related field</li>
<li>Or Bachelor’s degree in computer science, engineering, applied statistics or related field and 2 years experience in machine learning</li>
<li>Or 4 years experience in machine learning</li>
<li>Excellent communication skills including written, verbal, and technology diagrams</li>
<li>Understanding of the model development lifecycle and has had exposure to DevOps/MLOps/LLMOps/ModelOps</li>
<li>Experience with enterprise Cloud ML Services (i.e., Sagemaker, AzureML, Vertex AI), and open source AI/ML frameworks</li>
<li>Strong analytical and problem-solving skills</li>
<li>Ability to work both independently and in a team environment</li>
<li>Strong organizational, planning & problem-solving skills</li>
<li>Ability to understand Central Insurance’s policies and processes</li>
</ul>
Preferred
 <ul>
<li>Azure certification or AWS certification</li>
<li>Exposure in continuous integration & delivery (CI/CD) practices and tools (Git, Jenkins, uDeploy)</li>
<li>Exposure in with building container-based systems such as Docker</li>
<li>Exposure in relational and dimensional data modeling techniques</li>
<li>Exposure in machine learning models and concepts: regression, random forest, boosting, NLP, and deep learning</li>
<li>Exposure in developing and deploying complex and scalable software systems in the analytics space</li>
<li>Exposure in Azure Data Lake or other cloud data warehousing solutions</li>
<li>Exposure in triaging, troubleshooting, and fixing issues in Production environments</li>
<li>Exposure with orchestration and scheduling tools (Control-M)</li>
</ul>
Work Authorization
 Central will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.
 Equal Opportunity Employer
 It is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information.

Wynn Al Marjan Island

<div>
 
 About Wynn Al Marjan Island
 
 
 
 On schedule to open in the United Arab Emirates in early 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.
 
 
 
 About The Position
 
 
 
 Wynn Al Marjan Island is currently seeking a Machine Learning Engineer to join the resort&rsquo;s Information Technology team.
 
 
 
 The Primary Duties And Responsibilities Of This Role Are
 
 
 
 <ul>
 <li>
 Design, implement, and maintain end-to-end ML pipelines using Databricks notebooks, Delta Lake, and MLflow for experiment tracking, model versioning, and lifecycle management.
 </li>
 <li>
 Leverage Databricks AutoML for rapid prototyping and efficient model selection in early-stage experimentation.
 </li>
 <li>
 Implement ML model deployment workflows using Databricks Jobs and manage serving endpoints with low-latency requirements.
 </li>
 <li>
 Design, develop, and deploy ML and GenAI solutions using Python and LLM frameworks.
 </li>
 <li>
 Build and deploy ML production systems, contributing to their design and ongoing maintenance
 </li>
 <li>
 Develop and maintain ML pipelines, manage the data lifecycle, and ensure data quality and consistency throughout
 </li>
 <li>
 Assure robust implementation of ML guardrails and manage all aspects of service monitoring
 </li>
 <li>
 Develop and deploy accessible endpoints, including web applications and REST APIs, while maintaining steadfast data privacy and adherence to security best practices and regulations
 </li>
 <li>
 Embrace agile development practices, valuing constant iteration, improvement, and effective problem-solving in complex and ambiguous scenarios
 </li>
 <li>
 Collaborate with cross-functional teams including architects, data engineers, analysts, and business leaders to deliver robust data solutions.
 </li>
 <li>
 Write and maintain infrastructure as code using YAML, Implement and manage CI/CD pipelines for ML workflows.
 </li>
 <li>
 Ensure model governance and compliance using protocols like Model Context Protocol and A2A Protocol.
 </li>
 <li>
 Produce comprehensive documentation including architectural diagrams, data flow maps, runbooks, and lineage tracking artifacts.
 </li>
 <li>
 Continuously improve ml pipeline efficiency by identifying performance bottlenecks and reducing compute/storage costs.
 </li>
 <li>
 Containerize applications using Docker and manage deployments on Azure
 </li>
 <li>
 Implement DevOps best practices in the data lifecycle, including CI/CD for pipelines, automated testing, and version control.
 </li>
 <li>
 Facilitate internal knowledge sharing via technical workshops, peer reviews, and training sessions for continuous team development.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 The ideal candidate for this position will have the following experience and qualifications:
 
 
 <ul>
 <li>
 A bachelor's degree in computer science, information technology, or a related field is required; a master's degree is preferred but not mandatory.
 </li>
 <li>
 A minimum of 3-5 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications.
 </li>
 <li>
 Proven track record of building, scaling, and leading complex ML engineering platforms in enterprise environments.
 </li>
 <li>
 Strong experience designing and deploying cloud-native ML solutions on Azure Databricks, with an emphasis on scalable model training, model management using MLflow, and real-time inference.
 </li>
 <li>
 Demonstrated success in implementing AI agents or autonomous workflows using tools such as LangGraph, CrewAI, or similar frameworks.
 </li>
 <li>
 Experience in real-time or near-real-time inference systems and low-latency model serving.
 </li>
 <li>
 Hands-on experience with Databricks Machine Learning environment, including MLflow tracking, model registry, and production deployment workflows.
 </li>
 <li>
 Proficient in using Databricks Feature Store, AutoML, and real-time model inference using Databricks Serving or external endpoints.
 </li>
 <li>
 Familiarity with Databricks Unity Catalog and access control for secure ML asset management.
 </li>
 <li>
 Advanced proficiency in Python and LLM, with strong skills in performance tuning, modular coding, and automation scripting
 </li>
 <li>
 Experience deploying GenAI &amp; related frameworks (e.g., LangChain, LLMOps, PaLM) use cases in Snowflake ecosystem
 </li>
 <li>
 Develop, optimize, and maintain scalable machine learning workflows and models using Databricks notebooks and MLflow.
 </li>
 <li>
 Understanding of how MCPs can complement structured Snowflake data to deliver rich narrative insights, automated clinical summaries, and patient engagement tools.
 </li>
 <li>
 Build AI-driven applications using Snowflake Cortex, Document AI, and Snowpark ML.
 </li>
 <li>
 Integrate GenAI tools like OpenAI GPT, Claude (Anthropic), and xAI&rsquo;s Grok to enhance unstructured data processing and generate intelligent summaries or decision recommendations.
 </li>
 <li>
 Experience in experimentation, feature engineering, Model registration, deployment, and monitoring, using AutoML cost and quota management
 </li>
 <li>
 Strong written and verbal communication skills in English, with the ability to influence, mentor, and align technical teams and stakeholders.
 </li>
 <li>
 Candidates with coursework or academic research in deep learning, reinforcement learning, or natural language processing are highly encouraged.
 </li>
 <li>
 Databricks Certified Machine Learning Professional
 </li>
 <li>
 Snowflake SnowPro Core Certification
 </li>
 <li>
 Azure Data Scientist Associate
 
 
 </li>
 </ul>
 
 About Wynn Al Marjan Island&rsquo;s Benefits
 
 
 
 We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package and as well as life insurance, incentive programs, and other employee benefits. The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.
</div>

Search 7501+ Machine engineer jobs near you this September. New roles added regularly across leading industries. Apply today.

7501 machine engineer jobs NEAR_ME

Machine Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer