data science engineer

Antons

<br><p> <strong>Key Responsibilities</strong> </p>
<ul>
<li>
<p> <strong>ML Pipeline Engineering</strong>: Design, build, and maintain <strong>scalable ML pipelines</strong> leveraging MLFlow, Databricks, and Azure ML.</p>
</li>
<li>
<p> <strong>Model Development</strong>: Develop and optimize ML models, particularly for <strong>healthcare predictive analytics</strong>.</p>
</li>
<li>
<p> <strong>Integration</strong>: Embed ML models into <strong>KPI-driven data processing and analytics workflows</strong>.</p>
</li>
<li>
<p> <strong>Model Lifecycle Management</strong>: Implement <strong>model monitoring, drift detection, retraining, and continuous improvement</strong> strategies.</p>
</li>
<li>
<p> <strong>Collaboration</strong>: Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.</p>
</li>
</ul>

Senior Data Science Engineer

Microsoft

<div><h2 class="jobSectionHeader"><b>Role Summary</b></h2><div>
As a Aprincipal AI Applied Scientist for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.<br>
<br>
You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experience.</div><h2 class="jobSectionHeader"><b>
AI Mission and Impact</b></h2><div>
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.</div><div>
We are looking for an (insert role/ external title) to join our team<br>
<br>
This role will combine AI knowledge with applied science expertise and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.</div><div>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><div></div><h2 class="jobSectionHeader"><b><br>
Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
Bringing the State of the Art to Products</b></h3><ul><li>
Build collaborative relationships with product and business groups to deliver AI-driven impact</li><li>
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.</li><li>
Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.</li><li>
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.<br>
Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.
</li><li>Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.</li></ul><h3 class="jobSectionHeader"><b>
Leveraging Research in real-world problems</b></h3><ul><li>
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.</li><li>
Share insights on industry trends and applied technologies with engineering and product teams.</li><li>
Formulate strategic plans that integrate state-of-the-art research to meet business goals.</li></ul><h3 class="jobSectionHeader"><b>
Documentation</b></h3><ul><li>
Maintain clear documentation of experiments, results, and methodologies.</li><li>
Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing
</li></ul><h3 class="jobSectionHeader"><b>Ethics, Privacy and Security</b></h3><div>
Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks&mdash;including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns&mdash;to ensure equitable and responsible outcomes.</div><ul><li>
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.</li><li>
Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.
</li></ul><h3 class="jobSectionHeader"><b>Specialty Responsibilities</b></h3><ul><li>
Design, develop, and integrate generative AI solutions using foundation models and more.</li><li>
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architecture, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems</li><li>
Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.</li><li>
Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics</li><li>
Address scalability and performance issues using large-scale computing frameworks.</li><li>
Monitor model behavior, guide product monitoring and alerting, and adapt to changes in data streams.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><h3 class="jobSectionHeader"><b>
Required Qualifications</b></h3><ul><li>
Bachelor&rsquo;s degree in computer science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND 10+ years of technical engineering experience and 6+ in AI/ML, predictive analytics, or research - OR equivalent experience</li><li>
3+ years of experience with generative AI OR LLM/ML algorithms</li></ul><p><b>
Other Requirements:</b></p><ul><li>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</li><li><ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.</li></ul></li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h3><ul><li>
Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.</li><li>
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)</li><li>
Experience publishing in peer-reviewed venues or filing patents</li><li>
Experience of presenting at conferences or industry events</li><li>
Experience conducting research in academic or industry settings</li><li>
Experience developing and deploying live production systems</li><li>
Experience working with Generative AI models and ML stacks</li><li>
Experience across the product lifecycle from ideation to shipping</li></ul><div></div><div><b><br>
#BICJobs</b>#CCAROCKS#DYNAMICS365#WEAREHIRING #WEWANTTOTALKTOYOU! #CUSTOMERCAREAPPLICATIONS #CESJOBS</div><br>
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Principal Applied & Data Science Engineer

Gainwell Technologies LLC

<div><p>Summary</p><p><br>
Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.</p><p></p><p><br>
Role Description</p><div><br>
<br>
<ul><li>Development based on AI/ GEN AI&ndash; Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.</li><li>Experienced in multiple LLM fine tuning techniques.</li><li>Experienced in building GEN AI solutions using RAG architecture.</li><li>Skilled in both Lang Chain and Lang Graph.</li><li>Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.</li><li>Experienced in multiple Vector Databases as well as Graph Database</li><li>Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.</li><li>End-to-End AI Solution Deployment &ndash; Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.</li><li>Data Processing &ndash; Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.</li><li>System Integration &ndash; Skilled in API development and integrations.</li></ul>
 Implement and optimize AI models within Gain well&rsquo;s existing technology stack, collaborating with software engineers to ensure seamless integration.<br>
<ul><li>Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.</li><li>Performance Optimization &ndash; Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.</li><li>AI Research &amp; Innovation &ndash; Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.</li><li>Compliance &amp; Security &ndash; Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.</li><li>Automation &amp; Workflow Enhancement &ndash; Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.</li><li>Front End Development &ndash; Streamlit is a must. Good to have React, Angular or Vue.js</li></ul></div><p><br>
What We&rsquo;re Looking For</p><div><ul><li><br>
Bachelor or Master&rsquo;s or higher in Computer Science, AI, Data Science, Engineering or a related field.</li><li>3+ years to 7 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.</li><li>Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.</li><li>Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.</li><li>Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.</li><li>Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.</li><li>Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).</li><li>Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.</li><li>Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.</li></ul></div><p></p><p><br>
What You Should Expect in This Role</p><div><ul><li><br>
Fully Remote Opportunity &ndash; Work from anywhere in India.</li><li>Minimal Travel Required &ndash; Occasional travel opportunities (0-10%).</li><li>Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.</li></ul></div></div>

Data Science AI Engineer, Professional 1

BM Global

<p>Job Title: Data Science Engineer (AI/ML Expertise)</p><p>Location: On-site ( Eithad town, raiwand road Lahore)</p><p>Job Type: Contractual</p><p>Experience: 3+ years</p><p>Salary: 120k - 250k</p><p>Timings: 9:00 pm - 4:00 am</p><p>&#11835;</p><p>Job Overview:</p><p>We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team.</p><p>The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems.</p><p>You will work closely with cross-functional teams &mdash; including data engineers, product managers, and software developers &mdash; to transform raw data into actionable intelligence and production-ready ML models.</p><p>&#11835;</p><p>Key Responsibilities:</p><ul><li>Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.</li><li>Build and optimize data pipelines and ETL workflows for efficient model training and inference.</li><li>Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems.</li><li>Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights.</li><li>Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.).</li><li>Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP).</li><li>Collaborate with data engineers to ensure data quality, governance, and real-time accessibility.</li><li>Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment.</li><li>Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability.</li><li>Present data-driven insights and AI strategies to both technical and non-technical stakeholders.</li></ul><p>&#11835;</p><p>Required Skills &amp; Qualifications:</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>3+ years of hands-on experience in data science, AI, and machine learning engineering.</li><li>Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques.</li><li>Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop.</li><li>Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).</li><li>Proven experience in deploying ML models to production using APIs or containerized solutions.</li><li>Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform.</li><li>Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul><p>&#11835;</p><p>Preferred Qualifications:</p><ul><li>Experience building AI-driven systems in healthcare, fintech, or SaaS environments.</li><li>Exposure to big data streaming (Kafka, Flink) and real-time ML inference.</li><li>Understanding of MLOps practices &mdash; model versioning, monitoring, retraining pipelines.</li><li>Contributions to open-source AI/ML projects or research publications.</li><li>Familiarity with LLMs, generative AI, and prompt engineering.</li></ul><p>&#11835;</p><p>What We Offer:</p><ul><li>Competitive salary and performance-based incentives.</li><li>Exposure to large-scale AI-driven projects with measurable business impact.</li><li>Professional growth opportunities with access to state-of-the-art ML infrastructure.</li><li>Collaborative team culture with mentorship and innovation at its core.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs120,000.00 - Rs250,000.00 per month</p><p>Work Location: On the road</p>

DATA SCIENTIST

Dataiku

<div> <p>Dataiku s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here. </p> <p>As a Field Engineer, you ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.</p> <p>This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.</p> <ul> <li>Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations</li> <li>Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)</li> <li>Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack</li> <li>Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers</li> <li>Drive technical success by being a trusted advisor to our customers and our internal account teams </li> </ul> </div>

Field Engineer

DevConsole

<p>Job Title: Data Science Engineer (AI/ML Expertise)<br/>Company name: DevConsole<br/>Location: On-site ( Eithad town, Raiwand road Lahore)</p><p>Job Type: Contractual<br/>Experience: 3+ years<br/>Salary: 120k - 250k<br/>Timings: 9:00 pm - 4:00 am</p><p>&#11835;</p><p>Job Overview:</p><p>We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team.<br/>The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems.<br/>You will work closely with cross-functional teams &mdash; including data engineers, product managers, and software developers &mdash; to transform raw data into actionable intelligence and production-ready ML models.</p><p>&#11835;</p><p>Key Responsibilities:</p><ul><li>Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.</li><li>Build and optimize data pipelines and ETL workflows for efficient model training and inference.</li><li>Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems.</li><li>Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights.</li><li>Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.).</li><li>Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP).</li><li>Collaborate with data engineers to ensure data quality, governance, and real-time accessibility.</li><li>Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment.</li><li>Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability.</li><li>Present data-driven insights and AI strategies to both technical and non-technical stakeholders.</li></ul><p>&#11835;</p><p>Required Skills &amp; Qualifications:</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>3+ years of hands-on experience in data science, AI, and machine learning engineering.</li><li>Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques.</li><li>Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop.</li><li>Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).</li><li>Proven experience in deploying ML models to production using APIs or containerized solutions.</li><li>Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform.</li><li>Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul><p>&#11835;</p><p>Preferred Qualifications:</p><ul><li>Experience building AI-driven systems in healthcare, fintech, or SaaS environments.</li><li>Exposure to big data streaming (Kafka, Flink) and real-time ML inference.</li><li>Understanding of MLOps practices &mdash; model versioning, monitoring, and retraining pipelines.</li><li>Contributions to open-source AI/ML projects or research publications.</li><li>Familiarity with LLMs, generative AI, and prompt engineering.</li></ul><p>&#11835;</p><p>What We Offer:</p><ul><li>Competitive salary and performance-based incentives.</li><li>Exposure to large-scale AI-driven projects with measurable business impact.</li><li>Professional growth opportunities with access to state-of-the-art ML infrastructure.</li><li>Collaborative team culture with mentorship and innovation at its core.</li></ul><p>If you are intrested kindly share your resume with subject <b>Data Scientist</b> at <b>hr@dev-console.com</b></p><p>Job Type: Contract<br/>Contract length: 3 months</p><p>Pay: Rs120,000.00 - Rs300,000.00 per month</p><p>Work Location: In person</p><p>Expected Start Date: 13/10/2025</p>

Senior Data Scientist

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Digital Manufacturing Engineer for one of our partners, a global leader in the food and services industry.
<br><br>
<b>Job Summary:</b><br>
As a Digital Manufacturing Engineer, you will serve as a dynamic catalyst in accelerating innovation and prototyping within the Digital Factory. This role is designed for enthusiastic individuals with foundational experience in areas such as Generative AI, AI, Coding (full stack), Data Science, or another Tech related field.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Actively applying IT knowledge to support innovative projects, contributing to efficient project goal attainment and driving the implementation of groundbreaking solutions in the Digital Commerce sector.</li>
<li>Work synergistically with varied stakeholders and continually expand technical acumen, enhancing the Digital Factory’s capability and fostering an environment of continuous improvement and learning.</li>
<li>Participate in developing and refining effective solutions, aligning with business objectives to deliver value-driven results, and ensuring the realization of strategic technology initiatives within the company.</li>
<li>Maintain project coherence, ensure seamless integration with organizational objectives, and embrace varied tasks with commitment and adaptability, unlocking new avenues of value in the Digital Commerce domain</li>
<li>Maintains abreast of tech trends and adapts, aligning contributions to organizational strategies.</li>
<li>Collaborates and conveys organizational strategies effectively, translating them into actionable insights.</li>
<li>Participates actively in teams, contributing to the development of product & platform roadmaps in alignment with organizational goals.</li>
<li>Engages with vendors and customers, aligning insights and actions with organizational and customer needs</li>
<li>Actively explores and assimilates new technologies and methodologies that align with strategic objectives, contributing to disruptive value propositions.</li>
<li>Participates in the development and refinement of solutions, ensuring they align with business plans and enterprise roadmaps, while contributing insights and perspectives.</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>Bachelor’s degree in computer science, Information Technology, or a related field.</li>
<li>At least 3-4 years of experience in IT, particularly in areas like 3-tier architecture, Generative AI, ML models – Computer Vision, Data Science/Analysis, or part of Startup. Experience in rapid prototyping is a plus.</li>
<li>Advanced proficiency in Python, medium proficiency in Frontend technologies such as React</li>
<li>Familiar with OOP, TDD, Design Patterns, MVC, MVVM, RestFUL API and modern UI-frameworks like React/Angular/Vue</li>
<li>Mobile App and computer vision is a plus</li>
<li>Certification in a recognized technical domain is beneficial but not mandatory.</li>
<li>Eagerness to learn new technologies and adapt to changes quickly. Ability to embrace and leverage new learning opportunities.</li>
<li>Effective interpersonal and communication skills. Ability to collaborate with different teams and contribute to a positive working environment.</li>
<li>Proficiency in English is essential.</li>
<li>Preferred But Not Required: Exposure to Agile and DevSecOps environments and familiarity with platform and product-oriented approaches.</li>
</ul>


Digital Manufacturing Engineer

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