Data Engineer, Senior

Senior Data Scientist - Machine Learning

Senior Machine Learning Engineer

EHS Analyst

Senior AI Engineer

Mechatronics Engineer

Senior Data Scientist 2

Manufacturing Engineer - Automation Electrical

Senior Business Intelligence Analyst

Equipment Engr - Automation and PLC

Responsibilities: <ul><li>Design, develop and deploy process automation workflows to support Smart Factory operation.</li><li>Extract, transform and analyze data into accurate, meaningful and actionable reports to support operational and business decision making, such as yield reports with data visualizations and recommendations.</li><li>Play a role as a bridge between business, IT and vendor(s) to support new loaders, functionalities and enhancements for Yield Management System such as Discover Yield tools, Tableau dashboards as well as Advanced Yield Examination internal tools.</li><li>With Product and Process knowledge, ensure data integrity for YMS tools.</li><li>Combine statistics, machine learning and computer science to turn data into actionable insights for solving complex process issue(s).</li><li>Design, build and maintain Predictive AI Models to enable proactive decision-making.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Computer Science or&nbsp;Electronic/Electrical Engineering, with min. 2 years’ experience in Data Analytics field.</li><li>Proficiency in SQL and experience working with relational databases.</li><li>Strong working knowledge of statistics and its applications.</li><li>Experience in building automated reports.</li></ul>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

Role Description: <ul><li>Working closely with the Data Scientists and be responsible for implementing large language models (LLMs) based applications, working with proprietary and open-source Models as well as popular frameworks such as Lang Chain to ensure seamless integration and deployment.</li></ul> Responsibilities: <ul><li>Building standalone applications that interact with LLM models.</li><li>Building RAG-based applications.</li><li>Understanding of Vector DBs like Solr for LLM based applications</li><li>Integrate models with existing systems and APIs.</li><li>Implement production quality ETL jobs</li><li>Preprocess and manage data for training and deployment.</li><li>Collaborate with cross-functional teams to define, design, and ship new features.</li><li>Write clean, maintainable, and efficient code.</li><li>Document development processes, code, and APIs.</li></ul> Requirements: <ul><li>Degree in Computer Science, Data Science, or related field.• Proven experience in building customer facing ML based APIs</li><li>Mexico City–based (or nearby), available to work onsite 2 days per week at Glorietadel Ahuehuete, Reforma.</li><li>Experience in developing applications that are scalable to handle TBs of data</li><li>Strong knowledge of API integration (RESTful, GraphQL).</li><li>Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.).</li><li>Familiarity with deployment tools (Docker, Kubernetes).</li><li>Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.</li><li>Excellent problem-solving and communication skills.</li><li>Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus</li><li>Experience working on agents is considered a good-to-have</li><li>Familiarity with agents, even through courses Work in a way that works for you We promote a healthy work/life balance across the organization..</li></ul> Other Information: These are some of the benefits we are delighted to offer: <ul><li>Private Medical/Dental Plan.</li><li>Savings Fund.</li><li>Life Insurance.</li><li>Meal/Grocery Voucher.</li><li>We offer an appealing working prospect for our people.</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.</li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you.</li><li>We know that your well-being and happiness are key to a long and successful career.</li></ul>

Responsibilities: Planning: <ul><li>Initiate annual EHS training plan &amp; EHS internal audit plan in order to meet the department annual operating plan.</li></ul> Procedures &amp; Document Update: <ul><li>Review &amp; update EHS procedure according to internal &amp; external audit finding.</li><li>Initiate, update and execute EHS policies or procedures according to national laws and regulations or S.A.F.E or Global policies.</li><li>in order to fulfill company EHS system and make work efficient.</li></ul> Safety and Health Management: <ul><li>Submit application to Safety Bureau for Safety and Health Impact Assessment and other required permits or registration in order to meet the requirement of national laws and regulations.</li><li>Conduct Safety Standard Management review and follow in velocity EHS system.</li><li>Coordinate industrial hygiene monitoring, evaluation, medical surveillance in order to prevent occupational disease.</li><li>Maintain SAFE and environment tool with continuous improvement.</li><li>Follow up Incident investigation, correction and Injury Trend Analysis in order to prevent incidents.</li><li>Conduct canteen and dormitory inspection with Admin. to supervise food safety and fire safety,in order to prevent incidents.</li><li>Conduct contractor &amp; supplier EHS management, issuing non-routine high risk task permits, in order to prevent incidents.</li></ul> EHS Projects: <ul><li>Lead and follow up JSA, LOTO, Ergo, Machine Guarding,BBS, Nearhit reporting, PPE management, IH, Environmental and etc.</li><li>Coordinate the Kaizens and other EHS activities, in order to meet SAFE and 5 star requirement and prevent incidents.</li></ul> Audit: <ul><li>Implement routine EHS internal audit and examine;</li><li>Prepare necessary material or data sheet for S.A.F.E ,customer, local government, global audit;in order to ensure meet compliance requirements.</li></ul> Reporting &amp; Training: <ul><li>Prepare Monthly EHS performance report in order to present EHS performance;</li><li>Organize health and safety related training to employee in order to promote the awareness of health and safety.</li></ul> Requirements: Education, Technical Qualification &amp; Experience: <ul><li>Minimum 6+ years of EH&amp;S experience required;</li><li>Possesses a strong grasp of Malaysias EHS laws and regulations and can conduct compliance assessments.</li><li>Autonomous ability in conducting audits and inspections of all aspects of EHS;</li><li>Good reading and writing in English &amp; Chines</li><li>Skilled in leveraging Excel for data analysis, visualization, and tracking key metrics.</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Description: <ul><li>The Position has been created to lead a team of Mechanical Designers, Electrical Automation Engineers and Technicians of the Operations team to define the process and build the machines needed to make the new products in line with the strategy map and market demand.</li></ul> Responsibilities: <ul><li>Responsible for working with a team of engineers for new project launches. Coordination with different technology leads connected with new projects. Collaborating with ME, OPS, AQE, NPI and PLTL team for execution of all new projects as per agreed APQP timelines.</li><li>Responsible for execution of PLTL projects and adherence to launch sheet requirements.</li><li>End to End responsible for capturing the voice of Customers and All Stakeholder requirements of the product to meet the expectations</li><li>Act as a purposeful bridge between ME and operations.</li><li>Work closely with project management and NPI procurement for capacity and streamlined supplies&nbsp;</li><li>Identify safety, quality and cost saving opportunities on new and existing projects.</li></ul> Requirements: <ul><li>Technical Degree/Diploma in Mechatronics - NTTF/BE</li><li>Hands own experience assembly of machines and troubleshooting</li><li>1 to 4+ years of experience working in medium or large matrix organizations.&nbsp;</li><li>Hands on Experience in designing and building Complex and high precision machines, high accuracy assembly automation machines for Automotive or electronics industries</li><li>Experience in Robot programming.</li><li>Vision inspection and testing machines like leakage testers and electrical testers experience&nbsp;</li><li>PLC and HMI Programming, Servo programming and tuning, and trouble shooting</li><li>Updated knowledge on current Programming Software and Design Software.</li></ul>

Responsibilities: <ul><li>Lead the design and development of LLM-powered solutions for clinical summarization, intelligent chat, and document understanding to improve patient care outcomes.</li><li>Architect and implement end-to-end machine learning pipelines, including Retrieval-Augmented Generation (RAG) systems using vector databases such as Pinecone and Weaviate.</li><li>Fine-tune and optimize state-of-the-art language models (e.g., GPT, LLaMA, Mistral) and apply advanced prompt engineering to address specialty-specific healthcare use cases.</li><li>Own project delivery end to end, collaborating with stakeholders to ensure AI solutions are ethical, scalable, reliable, and well-governed.</li><li>Mentor and support junior data scientists, fostering a culture of experimentation, learning, and innovation.</li></ul> Requirements: <ul><li>Experience: 8–12 years in Data Science/ML, with at least 3+ years specifically focused on LLMs and Generative AI.&nbsp;</li><li>Technical Mastery: Deep hands-on expertise in Python and frameworks like PyTorch, Hugging Face, LangChain, or LlamaIndex.&nbsp;</li><li>Cloud Fluency: Proven ability to deploy models at scale using AWS SageMaker, Azure ML, or GCP Vertex AI.&nbsp;</li><li>MLOps Mindset: Experience with MLflow, Airflow, Docker, and Kubernetes to ensure our "bold innovations" are also stable and reliable.&nbsp;</li><li>Academic Foundation: A strong grasp of statistical analysis and evaluation techniques to mitigate hallucinations and ensure clinical accuracy.&nbsp;</li></ul>

Responsibilities: Equipment Development Project <ul><li>Work with vendors to develop, set up/debug automation machine; Timely feedback and solve the problem to ensure the progress of the project</li></ul> Programming &amp; Digitalization <ul><li>Provide automatic control equipment programming according to the production needs</li><li>Provide digital solution to implement site digital factory projects to improve process control real time.</li></ul> Trouble Shooting <ul><li>Problem identification and trouble-shooting a wide range of complex electrical problems for automation line</li><li>Responsible for the effective communication across the company</li></ul> Technical Guidance <ul><li>Line maintenance/change over together with/guiding the technicians to make sure automation machine run smoothly</li></ul> Requirements: <ul><li>Bachelors degree or above, majored in Automation or Electrical Engineering, familiar with electrical control theory and design</li><li>At least 3 years experience with automated machines maintenance and electrical design</li><li>Familiar with Vision Inspection (Keyence/Cognex), Programmable Logic Controllers (PLC),Pneumatics, sensors, motors and other motion control devices</li><li>Experience specifying, programming, &amp; trouble shooting Servo Controls and electrical troubleshooting</li><li>Proven strong analytical and problem solving skills, good interpersonal skills.&nbsp;</li><li>Proficiency in English, both oral and written</li></ul>

Role Description: <ul><li>The Continuous Improvement EMIA team reports to Operations Automotive EMIA.</li><li>By providing new generation digital solutions to our Operational teams across EMIA, our team creates full transparency and speed in the ongoing digital &amp; lean transformation(s), which will enable all involved functions to leverage data to develop business insights and roadmap updates based upon clearly arranged and understandable data. Due to the extended scope, focusing also on the connecting processes from Supplier(s) to Manufacturing ending at the Customer(s) (internal and external) we will function as ‘the’ differentiator for our Company.</li><li>The Data Scientist Automotive EMIA will report to the Smart Factory Leader Automotive EMIA.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Lead projects and work together with our Automotive EMIA Operations plants, internal (IT, , Corporate Technology, CoE, SC, ..) and external partners in the area of Smart Factory (Applications, ML, AI, DL), aligned with Operations Automotive EMIA Strategy.</li><li>Lead Smart Factory improvement projects (Enhancements) of existing applications together with internal / external supplier and customers (project management) until the level of RTD (Ready To Deploy)</li><li>·Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems.</li><li>Identify and interpret data sources, manage large amounts of data, merge data sources together, ensure consistency of datasets, create visualizations to aid in understanding data.</li><li>Develop, Validate and Deploy (including Training and Coaching of the users) until the level of RTD (Ready To Deploy), Digital Factory Applications, ML models, contributing to waste elimination and efficiency improvements within all Operations functions (Manufacturing, Quality, SC, LOG, ….), this together with our internal and external partners.</li></ul>&nbsp;Requirements: Desired candidate &amp; Qualification <ul><li>Good understanding of a technology driven manufacturing company.</li><li>Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding.</li><li>Experienced with data visualization tools like PowerBi, Tableau, ThingWorx,..</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>Development experience in programming languages R, Python.</li><li>Knowledge, experience in JAVA scripting</li><li>Excellent pattern recognition and predictive modelling skills.</li><li>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks and deep learning etc.</li><li>Experience in technologies like, Jupyter Notebooks, Numpy, Pandas, Seaborn, Scikit-learn, PyTorch and TensorFlow.</li><li>Exposure to recent developments in Deep Learning, Gen AI, Agentic AI domain.</li><li>Database skills, on-premises and cloud based.</li><li>Experience in AWS is an advantage, functional knowledge of AWS platforms such as Sagemaker, S3, and RedShift.</li><li>Excellent presentation skills in both spoken en written English.</li><li>&nbsp;Excellent and strong communicator</li><li>The ability to translate, explain and bring, complex data science topics to an easy understandable level, speeding up acceptance level in general.</li><li>Bachelor or master’s in data science</li><li>Team player with a solution focused problem-solving mentality.</li><li>Change agent with high Execution level, including training and coaching talents.</li><li>Passioned about the combination of Technology, Data, Analytics and Statistics with link to Quality, Product and Process Engineering</li><li>Inspired by and searching actively for new technologies and methods.</li></ul>

Overview: <ul><li>The Equipment Engr - Automation and PLC is responsible for ensuring the reliable performance of production equipment by developing, modifying, and troubleshooting PLC programs and CCD (vision) systems.&nbsp;</li><li>The role supports day-to-day plant operations through automation debugging, sequencing improvements, and real-time issue resolution to enhance productivity and OEE.&nbsp;</li><li>This position leads technical training for technicians and new team members, documents system updates, and contributes to continuous improvement initiatives, including deployment and ISO compliance.&nbsp;</li><li>The engineer serves as a key resource in maintaining stable, efficient, and high-quality automated manufacturing processes.</li></ul> Responsibilities: <ul><li>Trouble shooting, Modify or Create Machine PLC program to suit the need of the plant.</li><li>Responsibel for repair and maintenance of the CCD System of the production line.</li><li>PLC system of the automation debugging and improve the sequencing.</li><li>Suggest improvement of automation PLC program to improve productivity and OEE.</li><li>Train technician to resolve the issues encountered between the production.</li><li>CCD light adjustments to improve the performance.</li><li>Responsible to resolve all issues encounter during production run.&nbsp;</li><li>Support on resolving CCD issues encounter during production run and documenting.&nbsp;&nbsp;</li><li>Impart trainings and development for new joiners, Technical Trainees etc.</li><li>Review of deployment</li><li>Review ISO documents and update, Engage in ISO audits.</li></ul> Requirements:&nbsp; <ul><li>Bachelor in Major in Electrical/Electronics</li><li>Preferably Mechanical, Electrical/Electronics and Industrial Engineer,</li><li>5 years minimum experience in the automation assembly and Tooling Design &amp; Development</li></ul> Knowledgeable on this different type of Programming Languages: <ul><li>Ladder Logic</li><li>Function block diagrams</li><li>Structured text</li><li>Sequential flow charts</li><li>Instruction List</li></ul>

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42 machine learnig Jobs found

Data Engineer, Senior

Senior Data Scientist - Machine Learning

Senior Machine Learning Engineer

EHS Analyst

Senior AI Engineer

Mechatronics Engineer

Senior Data Scientist 2

Manufacturing Engineer - Automation Electrical

Senior Business Intelligence Analyst

Equipment Engr - Automation and PLC

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42 machine learnig Jobs found

Data Engineer, Senior

Senior Data Scientist - Machine Learning

Senior Machine Learning Engineer

EHS Analyst

Senior AI Engineer

Mechatronics Engineer

Senior Data Scientist 2

Manufacturing Engineer - Automation Electrical

Senior Business Intelligence Analyst

Equipment Engr - Automation and PLC

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