machine design engineer

Gilani Mobility

Job Title: Manufacturing Engineer &ndash; Designer Company: Gilani Mobility Department: Engineering / Production Location: Dubai, UAE Employment Type: Full-Time Work Location: On-siteAbout Gilani MobilityGilani Mobility specializes in providing innovative automotive, mobility, and accessibility solutions. We are committed to excellence in design, manufacturing, and customer satisfaction, delivering products that are safe, reliable, and cost-effective.Role OverviewWe are seeking a skilled Manufacturing Engineer &ndash; Designer to bridge the gap between product design and production. The ideal candidate will ensure that designs are practical, manufacturable, and meet both quality and safety standards while supporting efficient production processes.Key ResponsibilitiesDesign &amp; Engineering<ul><li>Develop and refine mechanical components, assemblies, and systems using SolidWorks and AutoCAD.</li><li>Prepare detailed manufacturing drawings, BOMs, and technical documentation.</li><li>Support products through all stages, from concept design to production.</li><li>Conduct design reviews and recommend improvements for manufacturability and efficiency.</li><li>Assist with prototyping, testing, and validation of new or updated designs.</li></ul>Manufacturing Support<ul><li>Collaborate with production teams to optimize designs for fabrication and assembly.</li><li>Provide technical guidance during manufacturing, installation, and commissioning.</li><li>Identify and resolve design-related issues in the production process.</li><li>Contribute to process improvements aimed at enhancing productivity, quality, and cost efficiency.</li></ul>Analysis &amp; Compliance<ul><li>Perform engineering calculations and verify designs for accuracy and safety.</li><li>Support testing and performance evaluations of equipment and products.</li><li>Ensure all designs adhere to ISO 9001 standards and relevant engineering codes.</li><li>Maintain precise engineering documentation and version control.</li></ul>Coordination &amp; Reporting<ul><li>Work closely with Engineering, Production, Quality, and Procurement teams.</li><li>Prepare technical reports, drawings, and project documentation as required.</li><li>Participate in continuous improvement and innovation initiatives.</li></ul>Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s degree in Mechanical Engineering or a related discipline.</li><li>Proven experience in mechanical design and manufacturing engineering.</li><li>Proficiency in SolidWorks and AutoCAD.</li><li>Understanding of manufacturing processes, fabrication, and assembly techniques.</li><li>Experience with automotive, mobility, or accessibility products is an advantage.</li><li>Knowledge of ISO 9001 quality management systems.</li><li>Hands-on experience with prototyping or 3D printing is a plus.</li><li>Strong problem-solving, communication, and teamwork abilities.</li><li>Proficient in Microsoft Office applications.</li></ul>Work Environment<ul><li>On-site in the factory and engineering office.</li><li>Close coordination with production teams.</li><li>Working hours as per company policy.</li></ul>Compensation &amp; Benefits<ul><li>Competitive salary based on experience and qualifications.</li><li>Full-time employment with benefits aligned to UAE labor laws.</li></ul>Job Type: Full-timePay: From AED3,500.00 per month

Manufacturing Engineer – Designer (SolidWorks / AutoCAD)

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Appgain

APPGAIN is seeking an innovative and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address complex business challenges. You will work at the intersection of data science, software engineering, and operations to bring AI models from research to production.Responsibilities:<ul><li>Design, develop, and implement scalable AI models and algorithms using machine learning and deep learning techniques.</li><li>Build and manage robust AI development and production infrastructure, including data pipelines and MLOps workflows.</li><li>Collaborate with data scientists, product managers, and other stakeholders to translate business requirements into AI-driven solutions.</li><li>Integrate AI models into existing software systems and applications, ensuring seamless functionality and performance.</li><li>Conduct statistical analysis and interpret results to optimize AI models and guide decision-making.</li><li>Perform model testing, validation, and debugging to ensure accuracy, reliability, and efficiency.</li><li>Monitor and maintain deployed AI systems, identifying and resolving issues, and continuously optimizing performance.</li><li>Stay up-to-date with the latest advancements in AI research, technologies, and industry best practices.</li><li>Contribute to the adoption of AI best practices across teams and promote a data-driven culture.</li><li>Document machine learning processes, models, and solutions thoroughly.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.</li><li>Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role, with a strong portfolio of deployed AI solutions.</li><li>Proficiency in programming languages commonly used in AI, such as Python (with libraries like TensorFlow, PyTorch, Keras) or Java.</li><li>Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning neural networks.</li><li>Experience with big data technologies (e.g., Apache Spark, Hadoop, MongoDB) and data processing techniques.</li><li>Strong knowledge of SQL and experience with database modeling and management.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.</li><li>Excellent problem-solving, analytical, and critical thinking skills.</li><li>Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Ability to work effectively in an agile, fast-paced, and collaborative environment.</li><li>Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.</li><li>Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).</li><li>Experience with prompt engineering for Large Language Models (LLMs).</li><li>Familiarity with software design patterns and principles.</li><li>Contributions to open-source AI projects or relevant publications.</li></ul>Job Type: Full-time / On siteJob Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Engineer: 2 years (Preferred)</li><li>Python : 2 years (Preferred)</li><li>machine learning algorithms :: 2 years (Preferred)</li><li>big data technologies : 2 years (Preferred)</li></ul>Location:<ul><li>Giza (Preferred)</li></ul>

AI Engineer

Openkyber

<div>We are looking for GEN AI Engineer - Remote / Telecommute for our client in Dallas, TX
Job Title: GEN AI Engineer - Remote / Telecommute
Job Location: Dallas, TX
Job Type: Contract
Job Description: The GEN AI Engineer will design, develop, and maintain AI-driven applications and scalable API solutions. This role focuses on integrating Large Language Models, building multi-agent systems, and ensuring secure, high-performance backend services. The ideal candidate will have strong experience in API development, machine learning, distributed systems, and cloud technologies.
Requirement/Must Have:
<ul><li>Proven experience in API development using FastAPI, Flask, or Django.</li>
<li>Strong knowledge of Python and machine learning frameworks such as PyTorch.</li>
<li>Strong understanding of NLP libraries such as spaCy.</li>
<li>Expertise in API authentication including OAuth and API keys.</li>
<li>Experience with API documentation tools such as Swagger.</li>
<li>Experience with task queues such as Celery and multi-agent workflows.</li>
<li>Hands-on experience with relational and NoSQL databases.</li>
<li>Familiarity with caching technologies such as Redis and Memcached.</li>
<li>Experience working with cloud platforms.</li>
</ul>Experience: Demonstrated experience developing and integrating scalable APIs. Experience integrating Large Language Models into production systems. Experience building distributed systems and multi-agent architectures. Experience implementing testing, logging, and monitoring solutions.
Responsibilities:
<ul><li>Identify and define API integration points with clear documentation.</li>
<li>Design, implement, and test API endpoints such as generation and status services.</li>
<li>Auto-generate API documentation using modern frameworks.</li>
<li>Implement rate limiting and authentication mechanisms.</li>
<li>Develop prompting logic for Large Language Models to ensure accurate and reliable responses.</li>
<li>Integrate machine learning frameworks and NLP libraries into applications.</li>
<li>Design and implement multi-agent workflows using patterns such as actor model, publish-subscribe, and client-server.</li>
<li>Build and coordinate multi-agent systems ensuring efficient task delegation, communication, and failure handling.</li>
<li>Develop distributed task management solutions using orchestration tools.</li>
<li>Write unit and integration tests.</li>
<li>Set up logging and monitoring for system health and debugging.</li>
<li>Integrate with relational, NoSQL, and vector databases.</li>
<li>Implement caching strategies to optimize performance.</li>
<li>Ensure secure API access and data protection through proper authentication and validation mechanisms.</li>
</ul>Should Have: Experience with vector databases and AI-powered search platforms. Knowledge of CI/CD pipelines and containerization technologies. Familiarity with API design tools and rate limiting frameworks.
Skills: Strong Python programming skills. Strong understanding of API architecture and distributed systems. Knowledge of machine learning and NLP integration. Experience with database design and optimization. Understanding of caching strategies and performance tuning. Familiarity with cloud infrastructure and deployment models. Strong problem-solving and debugging skills. Knowledge of version control systems.
Qualification And Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
For applications and inquiries, contact: hirings@openkyber.com</div>

Generative AI Intern

International Turnkey Systems - ITS

<div>
 
 For a
 
 well-known Islamic Bank in Bahrain
 
 , we are looking for an experienced
 
 AI/ML Specialist (Engineer &ndash; Data Platform)
 
 . This role is focused on designing, developing, and deploying advanced machine learning solutions to support digital transformation initiatives in the banking sector. The successful candidate will bring deep expertise in ML, NLP, cloud AI platforms, and MLOps, with a strong background in financial services.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Machine Learning &amp; AI Solutions
 
 
 <ul>
 <li>
 Design and develop ML models for banking use cases (fraud detection, credit scoring, churn prediction, personalization).
 </li>
 <li>
 Collaborate with data engineers to prepare and preprocess data.
 </li>
 <li>
 Evaluate and optimize models for accuracy, precision, and recall.
 </li>
 <li>
 Deploy models using MLOps frameworks and CI/CD pipelines.
 </li>
 <li>
 Ensure explainability, compliance, and auditability of models.
 </li>
 </ul>
 
 
 
 
 
 Core AI/NLP Engineering
 
 
 <ul>
 <li>
 Work with Python frameworks (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude).
 </li>
 <li>
 Fine-tune LLMs (LoRA, PEFT, prompt tuning).
 </li>
 <li>
 Implement RAG pipelines and vector databases (Pinecone, FAISS, Weaviate, Chroma).
 </li>
 <li>
 Apply prompt engineering and orchestration tools (LangChain, LlamaIndex, Semantic Kernel).
 </li>
 </ul>
 
 
 
 
 
 Software Engineering &amp; Backend Integration
 
 
 <ul>
 <li>
 Develop APIs (RESTful, GraphQL), webhooks, and microservices.
 </li>
 <li>
 Containerize and deploy applications (Docker, Kubernetes).
 </li>
 <li>
 Integrate with enterprise systems (SharePoint, Salesforce, SQL).
 </li>
 </ul>
 
 
 
 
 
 Agent Orchestration &amp; Conversational AI
 
 
 <ul>
 <li>
 Utilize agent frameworks (LangGraph, AutoGen, CrewAI, Flowise).
 </li>
 <li>
 Design conversational UX with frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress).
 </li>
 <li>
 Conduct A/B testing and optimize user satisfaction.
 </li>
 </ul>
 
 
 
 
 
 Data &amp; Infrastructure
 
 
 <ul>
 <li>
 Build pipelines with Airflow, dbt, Kafka.
 </li>
 <li>
 Manage feature stores and model registries (MLflow, Kubeflow).
 </li>
 <li>
 Monitor models for drift and performance issues.
 </li>
 </ul>
 
 
 
 
 
 Governance, Security &amp; Compliance
 
 
 <ul>
 <li>
 Conduct bias/fairness audits.
 </li>
 <li>
 Ensure compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations.
 </li>
 <li>
 Implement secure logging and audit trails.
 </li>
 </ul>
 
 
 
 
 
 Product Strategy &amp; Business Alignment
 
 
 <ul>
 <li>
 Translate business problems into AI use cases.
 </li>
 <li>
 Define KPIs (accuracy, ROI, user satisfaction).
 </li>
 <li>
 Manage vendors and drive adoption of AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s Degree in Computer Science (BE in Computer Science &amp; Engineering).
 </li>
 <li>
 
 Experience:
 
 7&ndash;10 years in AI/ML engineering, preferably in banking and IT transformation.
 </li>
 <li>
 
 Professional Training:
 
 Machine Learning, Deep Learning, MLOps, AI in Financial Services.
 </li>
 <li>
 
 Certifications:
 
 </li>
 <li>
 Google Professional ML Engineer
 </li>
 <li>
 Microsoft AI Engineer Associate
 </li>
 <li>
 TensorFlow Developer Certificate
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 </ul>
 
 
 
 
 Skills &amp; Competencies
 
 <ul>
 <li>
 Machine Learning / Deep Learning
 </li>
 <li>
 Statistics &amp; Finance knowledge
 </li>
 <li>
 Data Preprocessing &amp; Feature Engineering
 </li>
 <li>
 Model Deployment &amp; MLOps
 </li>
 <li>
 Cloud AI Platforms (Azure ML, AWS SageMaker, Vertex AI)
 </li>
 <li>
 Explainable AI (XAI) &ndash; SHAP, LIME
 </li>
 <li>
 Statistical Analysis
 </li>
 <li>
 Business Problem Solving
 </li>
 </ul>
 
 
</div>

AI/ ML Specialist

The Home Depot

<div><div>Position Purpose:
The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In this role, you will also provide technical leadership on machine learning systems, including model development, production deployment, monitoring, and lifecycle management of ML solutions operating at scale. In addition, Staff Software Engineers will assist in product and tool selection, configuration, security, resilience, performance tuning and production monitoring. 
Staff Software Engineers contribute to foundational code elements that can be reused as well as architectural diagrams and other product-related documentation. You will help define best practices for building reliable, explainable, and maintainable ML systems that integrate seamlessly with broader software platforms. 
As a Staff Software Engineer, you will be a core player on the product team and are expected to build and grow the skillsets of the more junior Engineers. 
Key Responsibilities:<ul><li>
45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations; Attends conferences and learns how to apply new innovations and technologies where appropriate</li><li>
20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives; Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements; Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and management across multiple efforts; Develops formal training courses</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
3 - 6 years of relevant work experience</li><li>
Strong experience designing, training, evaluating, and deploying machine learning models in production environments, including batch and real-time inference systems</li><li>
Experience with ML lifecycle management, including feature engineering, model versioning, experimentation, validation, and monitoring for data drift and model performance degradation</li><li>
Experience building and operating ML pipelines using cloud-native services, data platforms, and CI/CD practices for reproducible and reliable model deployment</li><li>
Strong understanding of applied statistics, model evaluation metrics, and tradeoffs between model accuracy, interpretability, latency, and operational cost</li><li>
Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Experience to basic statistics and regression algorithms</li><li>
Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Experience in training machine learning models with extremely large datasets</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc. - and experience integrating them into scalable software systems</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML</li><li>
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Experience in a Linux or Unix based environment</li><li>
Experience in a CI/CD toolchain</li><li>
Experience in REST and effective web service design</li><li>
Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Experience in cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Experience in defensive coding practices and patterns for high Availability</li><li>
Experience in A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div> 
Apply End Date: 04/01/2026</div>

Staff Machine Learning Engineer

NXP Semiconductors

<div><div>Job Title:** Lead Machine Learning Software Engineer
 
 
Company:** NXP Semiconductors Netherlands B.V.
-
 
 
Job Summary
 
 
As a Lead Machine Learning Software Engineer at NXP Semiconductors Netherlands B.V., you will be a key driver in the design, development, and deployment of cutting-edge machine learning solutions for embedded systems. You will lead a team of talented engineers, guiding the architectural decisions and technical execution of ML software that enhances the intelligence and performance of NXP's next-generation semiconductor products.
-
 
 
Job Responsibilities
 
 
<ul><li>Lead the entire machine learning software development lifecycle, from concept and research to deployment and ongoing optimization, for embedded platforms.
</li><li>Architect, design, and implement robust, efficient, and scalable machine learning algorithms and models, with a focus on deep learning, computer vision, and signal processing.
</li><li>Drive the technical direction and strategy for ML software development within the team, ensuring alignment with product roadmaps and company objectives.
</li><li>Mentor and provide technical guidance to a team of ML software engineers, fostering a collaborative and innovative development environment.
</li><li>Conduct thorough research and evaluation of new ML techniques, frameworks, and tools to identify opportunities for innovation and improvement.
</li><li>Develop and implement rigorous testing, validation, and deployment strategies for ML models to ensure accuracy, reliability, and security in embedded environments.
</li><li>Contribute to the continuous improvement of development processes, tools, and best practices within the ML software engineering team.
</li><li>Present technical concepts, progress, and results to internal stakeholders and potentially external partners.
</li></ul>-
 
 
Job Qualifications
 
 
<ul><li>Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field.
</li><li>8+ years of professional experience in machine learning software development, with a strong focus on embedded systems.
</li><li>Proven experience in leading technical teams or projects, demonstrating strong leadership and mentoring abilities.
</li><li>Expertise in designing, training, and deploying deep learning models (e.g., CNNs, RNNs, Transformers) using frameworks such as TensorFlow, PyTorch, or similar.
</li><li>Proficiency in programming languages such as C/C++ and Python, with a deep understanding of optimized code for resource-constrained environments.
</li><li>Strong understanding of machine learning principles, algorithms, and data structures.
</li><li>Experience with hardware-aware ML optimization techniques (e.g., quantization, pruning, model compression).
</li><li>Familiarity with various embedded platforms, microcontrollers, and real-time operating systems (RTOS).
</li><li>Experience with version control systems (e.g., Git) and CI/CD pipelines.
</li><li>Excellent problem-solving skills, analytical thinking, and attention to detail.
</li><li>Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
</li><li>Ability to work independently and manage multiple priorities in a fast-paced, dynamic environment. 
</li></ul></div> 
More information about NXP in India...
#LI-2734</div>

Lead Machine Learning Software Engineer

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