machine engineer

TAWANTECH

<div>
 
 Job Summary:
 
 
 
 We are looking for a Machine Learning Engineer with 4+ years of experience in building, deploying, and optimizing ML models in software environments. The ideal candidate has strong Python skills and hands-on experience delivering production-ready ML solutions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop, train, and deploy machine learning models.
 </li>
 <li>
 Build scalable data pipelines and integrate ML into applications.
 </li>
 <li>
 Perform data preprocessing, feature engineering, and model evaluation.
 </li>
 <li>
 Monitor model performance and implement improvements.
 </li>
 <li>
 Collaborate with engineering and product teams in agile environments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, AI, or related field.
 </li>
 <li>
 4+ years of ML experience in software/product companies.
 </li>
 <li>
 Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Experience deploying models in production (cloud preferred: AWS/Azure/GCP).
 </li>
 <li>
 Good understanding of statistics, algorithms, and MLOps practices
 </li>
 </ul>
</div>

Machine Learner Engineer

CLUSTOR COMPUTING

Job SummaryWe are looking for a data-driven Machine Learning Engineer to join our AI team. In this role, you will bridge the gap between data science and software engineering by building, deploying, and maintaining scalable machine learning models. As a junior member of the team, you will work closely with senior engineers to transform raw data into intelligent features and predictive systems. This is an ideal position for a recent graduate or early-career professional who is passionate about AI and eager to solve real-world problems through automation and predictive analytics.Key Responsibilities&middot;Model Development &amp; Training: Assist in the design and implementation of ML models (Supervised, Unsupervised, and Deep Learning) using frameworks like PyTorch or TensorFlow.&middot;Data Preprocessing: Build and maintain data pipelines to clean, normalize, and transform raw data into high-quality features for model training.&middot;Model Evaluation: Use statistical metrics (Accuracy, Precision/Recall, F1-score, RMSE) to evaluate model performance and perform hyperparameter tuning to optimize results.&middot;Deployment (MLOps): Collaborate with the engineering team to containerize models (Docker) and deploy them into production environments (AWS/Azure/GCP).&middot;Monitoring &amp; Maintenance: Monitor deployed models for performance degradation (data drift) and perform periodic retraining to ensure continued accuracy.&middot;Research &amp; Documentation: Stay updated with the latest AI research and document the development lifecycle, from experiment results to production workflows.&middot;Cross-functional Collaboration: Work with Data Scientists to understand business requirements and with Software Engineers to integrate ML models into end-user applications.Job Types: Full-time, Permanent, FresherPay: ₹120,000.00 - ₹350,000.00 per yearWork Location: In person

Machine Learning Engineer

ML Bench

Job DescriptionWe are seeking a skilled AI/ML Engineer with 2+ years of hands-on experience in building, deploying, and optimizing machine learning models. The candidate should be able to translate business problems into scalable AI solutions and work collaboratively with cross-functional teams.Key Responsibilities<ul><li>Design, develop, and deploy ML models for real-world applications</li><li>Perform data preprocessing, feature engineering, and model evaluation</li><li>Implement algorithms (regression, classification, clustering, etc.)</li><li>Optimize model performance and accuracy</li><li>Build and maintain data pipelines for ML workflows</li><li>Deploy models via APIs or cloud platforms</li><li>Monitor, retrain, and maintain models in production</li><li>Collaborate with product, engineering, and data teams</li></ul>Required Skills<ul><li>Strong proficiency in Python</li><li>Hands-on experience with TensorFlow, PyTorch, or Scikit-learn</li><li>Experience with Pandas, NumPy, and data handling</li><li>Solid understanding of statistics and ML fundamentals</li><li>Experience in model deployment and REST APIs</li><li>Familiarity with AWS, GCP, or Azure</li><li>Version control experience (Git)</li></ul>Preferred<ul><li>Experience in Deep Learning, NLP, or Computer Vision</li><li>Knowledge of MLOps practices</li><li>Experience with Docker or Kubernetes</li><li>Exposure to Agile environments</li></ul>Perks &amp; Benefits:<ul><li>Travel Allowance</li><li>Birthday gifts</li><li>Opportunities to learn and grow with a skilled team.</li><li>Market-competitive salary.</li><li>Annual Dinners</li></ul>Job: Full-Time Timings: 9 AM to 6 PM Working Days: Monday to Friday Budget: PKR 120k to 180k Location: ML Bench, 424, J3 Johar Town, Lahore<ul><li>Join ML Bench by sending your resume here hr@ml-bench.com</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs180,000.00 per monthApplication Question(s):<ul><li>What is Your Current Salary?</li><li>What is your Expected Salary?</li><li>This is an on-site position apply only if you are residing in Lahore?</li><li>Apply only if you can attend an on-site interview?</li></ul>Work Location: In person

Recro

<div>
 
 
 Job Description
 
 
 
 We are looking for a skilled Generative AI Developer to join our Controls Technology team
 
 
 and contribute to the development and integration of innovative generative AI solutions. In
 
 
 this role, you&rsquo;ll work closely with senior developers, AI architects, and business
 
 
 stakeholders to deliver impactful AI-driven features and products.
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Implement and fine-tune generative AI models under the guidance of senior team
 
 
 members.
 
 
 &bull; Contribute to prompt engineering and development of AI-powered workflows.
 
 
 &bull; Assist with the deployment, monitoring, and maintenance of AI models in
 
 
 production environments.
 
 
 &bull; Collaborate with data scientists and engineers to ensure seamless integration of AI
 
 
 capabilities.
 
 
 &bull; Perform data preprocessing, feature engineering, and API development for AI
 
 
 applications.
 
 
 &bull; Participate in code reviews, testing, and documentation to ensure quality and
 
 
 reliability.
 
 
 &bull; Stay updated with advancements in GenAI and share relevant learnings with the
 
 
 team.
 
 
 
 Required Technical Skills:
 
 
 
 &bull; Hands-on experience with at least one major machine learning framework (PyTorch,
 
 
 TensorFlow, Keras).
 
 
 &bull; Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA).
 
 
 &bull; Exposure to RAG systems and basic knowledge of hybrid search techniques.
 
 
 &bull; Understanding of model deployment and containerization (Docker).
 
 
 &bull; Proficiency in Python for AI development, data preprocessing, and scripting.
 
 
 &bull; Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a
 
 
 plus.
 
 
 &bull; Understanding of version control systems (Git).
 
 
 &bull; Awareness of AI compliance, data privacy, and responsible AI principles.
 
 
 Required Soft Skills:
 
 
 &bull; Strong teamwork and communication abilities.
 
 
 &bull; Willingness to learn new AI/ML technologies and frameworks.
 
 
 &bull; Analytical mindset and attention to detail.
 
 
 &bull; Openness to feedback and continuous improvement.
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s degree or Master&rsquo;s degree in Computer Science, Data Science, AI, or a
 
 
 related field.
 
 
 &bull; 3&ndash;5 years of professional experience in AI/ML development, with exposure to
 
 
 Generative AI.
 
 
 &bull; Experience delivering AI/ML projects in a collaborative setting.
 
 
 &bull; Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.
 
</div>

<div>HMH is a learning technology company committed to delivering connected solutions that engage learners, empower educators and improve student outcomes. As a leading provider of K&ndash;12 core curriculum, supplemental and intervention solutions, and professional learning services, HMH partners with educators and school districts to uncover solutions that unlock students&rsquo; potential and extend teachers&rsquo; capabilities.
HMH serves more than 50 million students and 4 million educators in 150 countries. HMH Technology India Pvt. Ltd. is our technology and innovation arm in India focused on developing novel products and solutions using cutting-edge technology to better serve our clients globally. HMH aims to help employees grow as people, and not just as professionals.
We are seeking a mid-level Machine Learning Engineer to join our Data Science, Reporting &amp; Analytics team. This role will focus on designing, developing, and deploying ML models that drive insights and automation across enterprise platforms. The ideal candidate will have strong algorithmic thinking, hands-on experience with ML frameworks, and a collaborative mindset to work closely with data scientists and engineers. 
Key Responsibilities<ul><li>
Model Development: Build, train, and validate machine learning models using Python, TensorFlow, PyTorch, or similar frameworks.</li><li>
Data Preparation: Collaborate with data engineers to source, clean, and transform data for modeling purposes.</li><li>
Deployment &amp; Monitoring: Package models for deployment using MLOps tools; monitor performance and retrain as needed.</li><li>
Feature Engineering: Design and implement robust feature pipelines to improve model accuracy and efficiency.</li><li>
Collaboration: Work closely with analysts, product teams, and business stakeholders to translate requirements into ML solutions.</li><li>
Governance &amp; Compliance: Ensure models adhere to data privacy, security, and ethical AI standards.</li><li>
Documentation &amp; Support: Maintain model documentation and provide support for production ML workflows.</li></ul> 
Skills &amp; Qualifications<ul><li>
8&ndash;12 years of experience in machine learning or applied data science roles.</li><li>
Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).</li><li>
Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).</li><li>
Strong understanding of statistics, model evaluation, and optimization techniques.</li><li>
Familiarity with version control, CI/CD, and MLOps practices. 
Excellent problem-solving and communication skills.</li></ul> 
Preferred Experience<ul><li>
Exposure to NLP, computer vision, or time-series modeling.</li><li>
Experience integrating ML models into enterprise applications or data platforms.</li><li>
Prior work in ed-tech or large-scale analytics environments is a plus.</li></ul> 
HMH Technology Private Limited is an Equal Opportunity Employer and considers applicants for all positions without regard to race, colour, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. We are committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.</div>

Staff Machine Learning Engineer

Nexasprint Technologies Private Limited

Job Title: Machine Learning Engineer &ndash; Computer VisionLocation: Pune Experience: 4&ndash;6 Years Employment Type: Full-Time Industry: Automotive Manufacturing / AI / Computer VisionAbout the RoleWe have recently won a large-scale Machine Learning project with a leading vehicle Manufacturer. We are seeking a highly skilled Machine Learning Engineer to design and deploy advanced defect detection solutions using Computer Vision and Deep Learning techniques in a manufacturing environment.You will work on real-world industrial inspection systems involving image/video data from production lines, ensuring high-accuracy detection of surface, structural, and assembly defects.Key Responsibilities<ul><li>Design, develop, and deploy ML/DL models for automated defect detection.</li><li>Build end-to-end computer vision pipelines (data preprocessing &rarr; model training &rarr; validation &rarr; deployment).</li><li>Work with image datasets from production lines (high-resolution industrial cameras).</li><li>Develop and optimize CNN-based models (classification, detection, segmentation).</li><li>Improve model performance using data augmentation and advanced techniques.</li><li>Deploy models on edge devices or cloud infrastructure.</li><li>Collaborate with manufacturing, quality, and data engineering teams.</li><li>Monitor model performance and retrain as needed.</li><li>Document technical designs and maintain best coding practices.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li>Strong experience in Python.</li><li>Hands-on experience with:</li><li>TensorFlow / PyTorch</li><li>OpenCV</li><li>Scikit-learn</li><li>NumPy, Pandas</li><li>Experience with:</li><li>Object Detection models (YOLO, Faster R-CNN, SSD)</li><li>Image Segmentation (U-Net, Mask R-CNN)</li><li>CNN architectures</li><li>Experience handling imbalanced datasets.</li><li>Strong understanding of model evaluation metrics (Precision, Recall, F1, mAP).</li><li>Experience deploying models via REST APIs or edge devices.</li><li>Knowledge of MLOps concepts (CI/CD for ML models) is a plus.</li></ul>Preferred Qualifications<ul><li>Experience in automotive or manufacturing defect detection.</li><li>Knowledge of edge AI deployment (NVIDIA Jetson, ONNX, TensorRT).</li><li>Familiarity with cloud platforms (AWS / Azure / GCP).</li><li>Experience working with real-time image processing systems.</li></ul>Job Types: Full-time, PermanentPay: ₹900,000.00 - ₹1,500,000.00 per yearBenefits:<ul><li>Health insurance</li></ul>Work Location: In person

Machine Learning Engineer – Computer Vision

<div>At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we&rsquo;ll give you what you need to make it happen. It won&rsquo;t always be easy, growing takes grit. But at ABB, you&rsquo;ll never run alone. Run what runs the world.
This Position reports to:
Senior Machine Learning Engineer 
What we believe in
Our mission in ABB IS (Information Systems) is to use information technology to provide valuable, reliable, and competitive IS services for ABB. If you offer deep technical experience, a methodical approach to solving problems, and the willingness to help us remain competitive, we want you on our team.
Your role and responsibilities
Own the stability, scalability, and performance of production-grade ML platforms by designing and enhancing backend services, orchestration layers, and system integrations that power critical ML workflows. Ensure resilient system architectures in distributed settings to preserve high availability, tolerate faults, and enable smooth operation. Own complex problem resolution and perform in-depth root-cause analysis across application, data, and infrastructure layers to reduce operational risk and downtime. Advocate for reliable deployment and DevOps workflows using Docker, Kubernetes (AKS), and CI/CD, ensuring configuration and release controls are applied. Act as a senior technical anchor for cross-functional teams and external vendors, translating complex ML and business requirements into resilient, scalable backend solutions.
The work model for the role is: Hybrid
You will be mainly accountable for:<ul><li>
Oversee the design, improvement, and ownership of backend services that support ML workflows (model registry, deployments, APIs), ensuring well-architected systems across service boundaries, data flow, scalability, fault tolerance, performance, and maintainability, while advising internal teams and vendors on architecture.</li><li>
Diagnose and fix complex production incidents involving Spark jobs, Airflow pipelines, Azure ML runs, and AKS services through in-depth root-cause analysis across application, infrastructure, data, and configuration layers, while enhancing reliability, observability, and deployment stability.</li><li>
Design and maintain Dockerized services and Kubernetes (AKS) deployments, contribute to CI/CD pipelines, and establish best practices for configuration management, secrets handling, environment isolation, scaling strategies, upgrades, and rollback mechanisms.</li><li>
Serve as the primary technical contact, working with data scientists, ML engineers, business analysts, platform teams, and external vendors to convert business and ML workflow needs into scalable backend architectures, while coaching less experienced engineers on system design and complex debugging techniques.</li></ul>
Qualifications for the role:<ul><li>
3&ndash;5 years of experience as a Backend Engineer, Platform Engineer, Senior ML Engineer, or in a similar role.</li><li>
Demonstrated backend development skills in Python (or Java/Go) with direct experience creating APIs and services.</li><li>
Robust understanding of system design, covering distributed systems, microservices, scalability, fault tolerance, and reliability.</li><li>
Direct experience with AML and Airflow focused on platform or operational responsibilities.</li><li>
Working knowledge of Azure ML pipelines, endpoints, and deployment patterns.</li><li>
Solid practical experience with Docker and Kubernetes (AKS).</li><li>
Ability to identify and resolve complex production issues across application, data, and infrastructure layers.</li></ul> 
More about us
At ABB IS (Information Systems), our mission is to apply information technology to deliver secure, reliable, and competitive digital solutions that create measurable value for ABB. Our commitment is to advance innovation, operational efficiency, and responsive business processes via reliable technical capabilities and strategic execution. If you possess deep technical capability, clear problem-solving skills, and the commitment to support our advancement in a rapidly developing landscape, we welcome you aboard 
 
We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. 
We never ask for money from job applicants.
For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.</div>

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