machine engineer

RITS

Machine Learning EngineerRole Summary: Responsible for designing, developing, and deploying machine learning models and data-driven solutions.Key Responsibilities:<ul><li>Build, train, and optimize ML models and algorithms.</li><li>Work with large datasets, preprocessing, feature engineering, and data pipelines.</li><li>Deploy ML models into production environments.</li><li>Collaborate with data engineers, software developers, and product teams.</li><li>Monitor model performance and retrain when required.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li>Strong knowledge of Python, TensorFlow/PyTorch, Scikit-learn.</li><li>Experience with APIs, model deployment, and cloud platforms (AWS/Azure/GCP).</li><li>Good understanding of statistics, NLP, or computer vision (optional).</li></ul>Job Types: Full-time, PermanentApplication Question(s):<ul><li>What is your expected salary?</li><li>What is your earliest availability to join?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Machine Learning Engineer: 3 years (Preferred)</li><li>knowledge of Python, TensorFlow/PyTorch, Scikit-learn: 2 years (Preferred)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

Machine Learning Engineer

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Machine Learning Engineer for one of our partners, a global leader in consulting, digital transformation, technology, and engineering services.
 
Responsibilities: 
<ul>
<li>Machine Learning & AI Solutions</li>
<li>Deploy advanced machine learning models and AI-driven solutions across cloud environments.</li>
<li>Lead the end-to-end lifecycle of ML models, from data ingestion and feature engineering to model training, evaluation, and deployment.</li>
<li>Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.</li>
<li>Cloud & Data Engineering</li>
<li>Architect and optimize scalable data pipelines and cloud-based infrastructures (Azure, AWS, or GCP) to support ML workloads.</li>
<li>Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.</li>
<li>MLOps & Automation</li>
<li>Develop and maintain CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.</li>
<li>Integrate monitoring and alerting systems to track model drift, data quality, and system performance.</li>
<li>Collaboration & Innovation</li>
<li>Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.</li>
<li>Mentor junior engineers and contribute to knowledge sharing and best practices across the team.</li>
</ul>
Requirements: 
<ul>
<li>Technical Skills</li>
<li>Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li>
<li>Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).</li>
<li>Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.</li>
<li>Skilled in MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).</li>
<li>Familiarity with Git and collaborative development workflows.</li>
<li>Experience</li>
<li>6+ years of experience working with complex datasets and solving real-world business problems using AI</li>
<li>Proven track record of deploying and maintaining ML models in production environments.</li>
<li>Communication Skills</li>
<li>Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.</li>
<li>Fluent in Qatari Arabic & English, both spoken and written.</li>
<li>Additional Skills</li>
<li>Strong problem-solving abilities and attention to detail.</li>
<li>Ability to work collaboratively in a team environment.</li>
<li>Self-motivated with a continuous learning mindset.</li>
<li>Team management.</li>
</ul>
Benefits: 
<ul>
<li>Competitive Salary based on experience</li>
<li>Social and medical insurance</li>
<li>Learning, development and career progression</li>
</ul>

IUNU

<div>At IUNU (&ldquo;you knew&rsquo;), we&rsquo;re revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry. 
 
Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we&rsquo;d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. 
 
Responsibilities<ul><li>
Study and transform data science prototypes</li><li>
Design machine learning systems</li><li>
Research and implement appropriate ML algorithms and tools</li><li>
Develop machine learning applications according to requirements</li><li>
Select appropriate datasets and data representation methods</li><li>
Run machine learning tests and experiments</li><li>
Perform statistical analysis and fine-tuning using test results</li><li>
Train and retrain systems when necessary</li><li>
Extend existing ML libraries and frameworks</li><li>
Keep abreast of developments in the field</li></ul> 

Requirements<ul><li>
3-5 years of proven experience as a Machine Learning Engineer or a similar role</li><li>
Strong experience with Deep Learning</li><li>
Understanding of data structures, data modeling, and software architecture</li><li>
Deep knowledge of math, probability, statistics, and algorithms</li><li>
Ability to write robust code in Python, Java, and R</li><li>
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)</li><li>
Excellent communication skills</li><li>
Ability to work in a team</li><li>
Outstanding analytical and problem-solving skills</li><li>
BSc in Computer Science, Mathematics, or a similar field; a Master&rsquo;s degree is a plus</li></ul> 

Diversity 
At IUNU, we&rsquo;re committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths.
eJVMiKCwhq</div>

Applied Machine Learning Engineer

Ajax Studio

Ajax Studio is looking for an ML Engineer for Games focused on using our game data to generate new content and automate polishing.Main Goals<ul><li>Automatically generate new levels based on existing game data and design rules.</li><li>Automatically assign and implement VFX/SFX using our current asset libraries and tags.</li></ul>Responsibilities<ul><li>Analyze existing levels and content to learn patterns (layout, difficulty, pacing, themes).</li><li>Design and implement ML/PCG systems to generate new levels within strict constraints.</li><li>Build models/logic that map events &rarr; VFX/SFX using tags, categories, and rules.</li><li>Deliver clean APIs/data formats for our Unity/tools engineers.</li><li>Iterate with designers, VFX, and SFX teams to refine models based on feedback and quality.</li></ul>Requirements<ul><li>2+ years as an ML Engineer, Game AI Engineer, or similar (or a strong portfolio).</li><li>Strong Python skills and experience with ML/PCG on structured or sequential data.</li><li>Experience with procedural generation and/or recommendation/classification models.</li><li>Comfortable with constraints, validation, and filtering out broken/low-quality outputs.</li><li>Able to collaborate with non-ML teammates and turn design intent into concrete systems.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In person

DCS Jobs Solution

Recycling Industry Profile - Hydraulic Machine Maintenance EngineerQualification - B.Tech- MechanicalExperience -Min. 3+ yrs. hands-on experience in Hydraulic Machine Maintenance Engineer.Location- Pimpri-Chinchwad, MaharashtraJob DetailsDevelop and implement a preventative maintenance schedule for Hydraulic Machines.Perform routine inspections to identify potential issues and ensure that all machines operate efficiently and safely.Lubricate, adjust, and replace parts as necessary to ensure optimal machine performance.Diagnose mechanical, electrical, hydraulic, and pneumatic issues in press brake machines.Quickly repair machine malfunctions to minimize downtime and ensure continuous production.Collaborate with the production team to troubleshoot and solve equipment problems in real-time.Assist in the installation and commissioning of new press brake machines.Calibrate machines for specific jobs, ensuring accurate operation in accordance with production requirements.Provide guidance on machine setup and tooling selection to improve efficiency.Provide technical expertise to the operations team regarding machine operation, safety, and maintenance procedures.Train junior maintenance staff and machine operators on best practices for machine operation and maintenance.Ensure that all team members follow safety protocols when working with press brake machines.Maintain accurate records of all maintenance and repair activities.Prepare detailed reports on machine performance, maintenance tasks, and repairs.Track machine downtime and analyze data to identify trends and areas for improvement.Ensure that all maintenance activities comply with health and safety regulations.Identify potential safety hazards and take corrective action to prevent accidents.Stay updated on industry regulations and advancements related to press brake machinery.Lead efforts to improve machine performance, reduce downtime, and extend the lifespan of press brake equipment.Implement energy-saving measures and cost-reduction strategies for maintenance operations.Collaborate with the engineering and production teams to enhance overall production efficiency.Proven track record in a senior or supervisory role within a manufacturing or metal fabrication environment.Strong mechanical and electrical troubleshooting skills.Experience with CNC press brakes and their control systems.Familiarity with hydraulic and pneumatic systems in press brake equipment.Proficiency in reading and interpreting machine schematics and technical diagrams.Excellent problem-solving skills and ability to work under pressure.Strong leadership and communication abilities.Ability to train and mentor junior staff.Coordinate WithDCS Group6375367126 (Call &amp; whatsApp)9694820368 (Call &amp; whatsApp)Calling Time - 11:00 AM to 6:00 PMWhatsApp Timing - 9:00 AM to 8:00 PMJob Types: Full-time, PermanentPay: Up to &#8377;500,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Paid sick time</li><li>Provident Fund</li></ul>Application Question(s):<ul><li>Do yo have experience in maintenance and repair of hydraulic press brake machines?</li></ul>Experience:<ul><li>Maintenance: 7 years (Preferred)</li><li>Repair of hydraulic press brake machines: 6 years (Preferred)</li></ul>Work Location: In person

Hydraulic Machine Maintenance Engineer

EPAM Systems

<div>Driven to make a difference as a Senior Machine Learning Engineer in the tech industry? We are on the lookout for an individual with a passionate commitment, a wealth of skill in machine learning and data engineering, and a readiness to unleash groundbreaking models.
Join our ranks if you find satisfaction in navigating through complex systems and achieving consequential results. In our fold, your role will extend beyond machine learning, mandating a cooperative interaction with diverse teams to engineer strategic resolutions.
Our workspace champions innovative thought and provides a supportive environment, fostering growth at every turn. If you're eager to significantly contribute to transformative projects and accelerate your career, you may just be the visionary we seek.
Embark on this thrilling voyage of discovery and reinvention with us.
Your dream job is just a decision away!
Responsibilities<ul><li>
Work with DevOps/System engineers to automate necessary infrastructure provisioning</li><li>
Contribute to creating ML platforms</li><li>
Converting machine learning models and algorithms prototypes into production ready optimized ML pipelines</li><li>
Contribute to ML pipeline design and development (including validation and cold start problem, A/B tests, feedback loop, etc)</li><li>
Create from scratch, maintain, troubleshoot, and optimize ML pipeline steps</li><li>
Optimizing / tuning ML models and ML pipelines to satisfy production environment requirements</li><li>
Automating key parts of CICD pipelines for ML pipelines</li><li>
Collaborating with data scientists to fine-tune and optimize models</li><li>
Write specifications, documentation, and user guides for developed solutions</li><li>
Integrating ML models into existing software systems or creating new applications</li><li>
Allocate activities to junior ML engineers and take tasks to closure</li><li>
Improvise coding practices, support code reviews and bring in best practices for model management</li></ul>
Requirements<ul><li>
At least 5 years of production experience working in MLE role</li><li>
At least one project delivered to production in MLE role</li><li>
Expert level in Engineering Best Practices</li><li>
Advanced knowledge of Machine Learning fundamentals</li><li>
Production experience in integrating ML models into complex data-driven systems</li><li>
Experience with of Python ML ecosystem</li><li>
Practical experience working with at least one of the major Cloud Provider such as AWS, GCP, Azure</li><li>
Experience with one of the MLOps related platform/technology such as AWS SageMaker, Azure ML, GCP Vertex, Databricks MLFlow, Kubeflow, TensorFlow Extended</li></ul>
Nice to have<ul><li>
Practical experience with Apache Spark Ecosystem</li><li>
Expertise in LLM/GenAI</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</div>

Senior Machine Learning Engineer

Invygo

<div><h3 class="jobSectionHeader">About invygo</h3>
invygo is transforming car ownership in the Middle East through its flexible and digital-first car subscription platform. Our goal is to make car access simple, affordable, and commitment-free. Backed by top-tier investors and operating across the region, invygo is on a mission to lead the mobility revolution in MENA.<h3 class="jobSectionHeader">
About the role</h3>
At invygo, we are redefining the way people access and lease cars. We&rsquo;re looking for a Senior Machine Learning Engineer to join our data science and engineering team, driving innovation in how we price, plan, and manage our car rental operations. You&rsquo;ll work on end-to-end development of ML models powering dynamic pricing, churn prediction, risk assessment, and demand forecasting. This role bridges data science, engineering, and business &mdash; deploying scalable machine learning solutions that directly impact revenue, utilization, and customer satisfaction.
You&rsquo;ll be working in a cloud-first environment, leveraging AWS to build robust data pipelines and production-grade ML systems.<h3 class="jobSectionHeader">
What you will be doing</h3><ul>
<li>Model Development &amp; Deployment</li>
<li><ul><li>Dynamic Pricing - optimize subscription rates in real time based on supply, demand, and external factors.</li>
<li>Churn Prediction - identify and retain at-risk customers.</li>
<li>Risk Scoring - detect potential defaults.</li>
<li>Recommendation system - personalize customer experience.</li>
</ul></li><li>Data Engineering &amp; MLOps</li>
<li><ul><li>Design and maintain scalable ETL workflows using AWS Glue and Redshift.</li>
<li>Automate model retraining, evaluation, and deployment pipelines to ensure continuous performance and scalability.</li>
</ul></li><li>Collaboration &amp; Impact</li>
<li><ul><li>Partner with data analysts, and business teams to translate insights into operational models.</li>
<li>Monitor production models for performance drift, accuracy, and stability.</li>
<li>Contribute to improving internal ML infrastructure, data quality, and documentation.</li>
</ul></li>
</ul>Requirements<h3 class="jobSectionHeader">
What You Bring to the Table:</h3><ul>
<li>4+ years of experience in DS/ML</li>
<li>Strong background in Machine Learning (supervised and unsupervised methods, time-series forecasting, risk modeling, etc.)</li>
<li>Strong product sense &mdash; able to translate business goals and constraints into effective ML system designs, including model targets, performance metrics, and experiment strategies</li>
<li>Proficiency in Python and key ML/data libraries (e.g., numpy, pandas, scikit-learn, lgbm, pytorch/tensorFlow)</li>
<li>Hands-on experience with AWS services (Glue, Lambda, S3, Redshift, SageMaker).</li>
<li>Experience working with MongoDB and large-scale analytical databases (Redshift or similar).</li>
<li>Knowledge of deploying ML models into production environments and maintaining model lifecycle (Docker, FastAPI)</li>
<li>Background in pricing optimization, risk modeling, or customer lifecycle prediction in the mobility/marketplace/fintech or similar domains</li>
<li>Interest in staying up to date with current best practices in your areas of expertise</li>
<li>Working proficiency and communication skills in verbal and written English</li>
</ul>
Benefits<h3 class="jobSectionHeader">
Why You&rsquo;ll Love Working with Us</h3>
At invygo, you&rsquo;ll have the autonomy, resources, and support to make big things happen. You&rsquo;ll learn fast, grow faster, and see your impact every single day.
Here&rsquo;s what we offer:
 Competitive Salary 
 Employee Stock Options (because we want you to share in our success)
 Team and Individual Performance Bonuses 
 Flexibility: Work from home or abroad 
 Discounts on invygo&rsquo;s car subscription (yes, your rides just got cooler) 
 Team Engagement Days filled with collaboration and fun<h3 class="jobSectionHeader">
 Ready to Drive Change?</h3>
If you&rsquo;re someone who thrives on challenges, enjoys working in a dynamic environment, and wants to make an impact, we&rsquo;d love to meet you.</div>

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