37241 Docker Jobs - Page 25

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Purpose of the Job : As a senior c# software engineer, you will work with front-end developers, enterprise architects, and technical product owners in a very young and international team. You will be involved in developing, managing, and aligning the application architecture with business requirements to create a robust yet flexible global application. You will apply methods from software engineering, IT architecture and agile project management. Your key responsibility is software engineering in C#. You will implement cloud applications only, no on-premise tool stack. Requirements Completed education/studies in computer science and at least 5 years of professional experience Strong knowledge of object-oriented programming language C#, ASP .NET Core 3.1 & 6 Extensive understanding of microservices, pub-sub, REST & SOLID principles Good knowledge of the DAPR framework (dapr.io) Familiarity with Docker, Infrastructure as Code, GIT, CI/CD pipelines and related orchestration solutions (Kubernetes) Knowledge of common cloud patterns, distributed tracing (W3C) and database technologies (both relational and non relational) A curious character trait A passion for new technologies, a desire to stay updated and willingness to think outside the box and push boundaries Enjoyment in exploring errors and the associated analysis Communicative and coordinative skills, a high level of responsibility, good comprehension and a strong willingness to learn

We are seeking a forward-thinking Software Engineer with expertise in Java Fullstack and JavaScript to join our dynamic team. The candidate will have the opportunity to develop cutting-edge applications, implement scalable microservices, and work on innovative technologies in cloud environments. Responsibilities Develop applications utilizing Java Implement microservice architecture patterns on Microsoft Azure Apply Apache Kafka for event streaming Leverage Docker and Kubernetes for containerization and microservice scaling Work with REST APIs and SQL databases Requirements 3 to 5 years of professional experience Strong technical proficiency in Java and microservices architecture Background in JavaScript and its frameworks Knowledge of Apache Kafka and container technologies like Docker and Kubernetes Expertise in Maven/Gradle and Microsoft Azure Proficiency in REST API, SQL, Spring Core, and data structure/algorithm problem-solving B2-level English communication skills #EasyApply

Job purpose Be a part of the international PIT development team within ZEISS Vision Care. Work on the different technologies used globally. Extend an existing MES solution within a modern hybrid-cloud microservice environment to fulfill requirements for ZEISS Vision Mass Production. Duties and responsibilities: Develop MES software for Lens Manufacturing Implement systems functions, controls, and algorithms. Implement Unit-Test to achieve reasonable test coverage. Work within an agile project with Azure DevOps Managing the deployment of new or changed versions of the software-solution into edge-environments. Working directly with various technologies (SQL/MongoDB/Kafka/Docker) to diagnose issues across your running services. Extended diagnostics using and improving monitoring/logging tools (Grafana/Loki/Mimir) to find the root cause of issues in your running services. Communicating with on-premises support regarding changes to services and providing training on new features when required. Creating and maintaining training material and documentation for the services which you are deploying and are the owner. Reporting new bugs/issues and solve it on a code basis. Qualifications A successfully completed degree in computer science/business informatics or equivalent work experience. Minimum 5 years’ experience working with in software development (better 7 years) infrastructure or server administration (Windows / Linux / Virtualization / networking / Security). Skill Set: Must Have: Using Modern IDEs (IntelliJ IDEA, Ecplipse, Visual Studio,…) Must Have: Advanced programming experience in Java Must Have: Very good written and spoken English. Must Have: Very good teamwork skills as well as a customer and service-oriented way of thinking and working. Must Have: First experiences in working in international teams Should Have: Experience in front-end development with React, Vue, or Angular Should Have: Basic knowledge of using GIT for source code versioning Should have: Experience in software development of enterprise software. Should have: Experience in unit testing including mocking. Preferred: Usage of Azure Devops for CI/CD Preferred: Experience in Quarkus or Java Spring Framework Preferred: Experience in developing distributed systems or using Microservice Architectures Bonus: Experience in MongoDB Bonus: Experience in development or adaption of MES systems Bonus: Experience in Kafka Bonus: Experience in K8Ns

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

About the Company ZeTheta Algorithms Private Limited (www.zetheta.com) is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/ About the Role We are seeking a talented and motivated student intern to develop AI models from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning. Responsibilities Design and implement the complete AI Models following provided specifications Develop both frontend and backend components of the platform Create and integrate AI modules Design and optimize database schema and queries Ensure system security, especially for sensitive identity verification data Deploy the solution using zero-cost cloud services Document code, APIs, and system architecture Complete the entire project within the 2 month timeline Qualifications A student who is currently pursuing or recently completed a degree in Computer Science, AI/ML, or related field. Required Skills Strong programming skills in Python and JavaScript Experience with React.js for frontend development Knowledge of FastAPI or similar Python web frameworks Familiarity with database design and SQL (particularly PostgreSQL) Understanding of basic machine learning concepts Self-motivated with ability to work independently Preferred Skills Sound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers) Familiarity with computer vision techniques using OpenCV Knowledge of natural language processing concepts Sound knowledge of facial recognition or emotion detection systems Understanding of identity verification methodologies Docker containerization experience Prior work with cloud deployment (AWS) Who Should Apply? Student or fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Basic knowledge of Microsoft Office. Willingness to self-learn and work in a fast-paced environment. Internship Details Duration: Self paced, options for 1,2,3,4 or 6 months. Type: Unpaid

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

At Microsoft, our core mission is empowering every person and every organization on the planet to achieve more. Industry Solutions (IS) is a global organization of over 16,000 strategic sellers, industry experts, elite engineers, architects and consultants, who along with delivery experts are working together to bring Microsoft’s mission of empowerment – and cutting-edge technology - to life for the world’s most influential customers. We are on the front lines of innovation, working side-by-side with customers to drive value across the entirety of their digital transformation journey. Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Responsibilities Candidates must understand customer and partner business and IT environment and have demonstrated skills designing and developing technology in area(s) of specialization to solve business problems. Candidates must have experience developing software for the Microsoft platform using programming languages and development platforms including C# or any modern programming language and Microsoft SQL Server. Participates in the delivery of complex solution as technical individual contributor or as a team member under coaching/guidance of senior team members. Strong knowledge of the Software Development Life Cycle methodology, technical design, development and implementation decisions on the use of technology in area(s) of specialization. Contribution to overall Release and Sprint planning Overall Application Design (HLD) Validate planned velocity of the feature teams Provide user story estimates in refinements to deliver quality and on time delivery Drive team to Code Metrics like Style Cop, FXCop, CC, Class Coupling are met as defined by the project Drive team to ensure code complies with security and performance standards Track and monitor the feature team’s delivery progress Track team sprint bug's RCA for quality improvement in subsequent sprints and take action Track quality reports like Build and Sonarqube Conduct User story ready meeting DoD once Sprint ends Lead Sprint planning and task distribution Track creation of LLD for relevant user story Review LLD for relevant user story Ensure Unit Test, Integration test Automation as per the acceptance and P1, P2 test cases Ensure UI Automation for validation scenarios and 80% P1, P2 Validate Performance Test Scenarios and Execution Validate Environment Readiness Ensure Functionality is verified to be working in the DEV Integration environment against the test cases identified by the test team. Ensure UI verification and validation Ability to understand and analyze issues and use judgment to make decisions. Strong problem solving & troubleshooting skills Strong communication and leadership skills Responsible for self-development according to professional development plan Qualifications Required qualifications for Consultants include: Highly proficient, customer-facing experience involving project envisioning, planning, design, development, and deployment of complex solutions 7+ years of software development: automation-related experience is valued. Scripting languages such as bash, python, and PowerShell, or compiled languages such as C, C# and Go are most relevant, but others are acceptable. Awareness of, and ability to reason about, modern software & systems architectures, including load-balancing, queueing, caching, distributed systems failure modes generally, microservices, and so on Associated troubleshooting skills, including the ability to follow RPC call-chains across arbitrary network steps. Consequent understanding of monitoring in distributed systems Deep understanding of operating system level concepts such as processes, memory allocation, and the network stack; understanding of how applications are affected by the above, and ability to debug same Experience with working in a team, including coordinating large projects, communicating well, and exercising initiative when presented with problems Strong understanding of customer and partner business and IT environments, with proven record of delivering successful technical solutions Practical experience running large scale online systems is always an advantage Demonstrated ability to focus on the development of customer business agility and business value, while simultaneously providing deep experience with specific technologies Strong communication, consulting, analytical and problem-solving skills Growth mindset Flexible work approaches with strong proactivity and inclination to resolving customer situations Demonstrated skills designing and developing technology in area(s) of specialization to solve business problems and help customers in enhancing existing applications; core skills must include Microsoft technology, with open-source experience helpful Degree in Computer Science Engineering, MCA or equivalent with work experience; higher relevant education preferred MCSD/MCSE/MCAD/Azure certification is a plus Required Skills Strong Object-Oriented Programming and Design experience Understanding of Technical Design Patterns SQL Programming knowledge .Net 4.0/Core (ASP.Net, Web API, PowerShell script. MVC, TFS/GitHub) Azure (Deep technical understanding of PaaS, Good experience in Azure services like Service Fabric, Web Apps, Cosmos DB, Azure Storage, Azure Service Bus, Azure Functions, and API management, SQL. with Azure Application Dev experience)Deep technical and architectural knowledge of at least 3 of the following areas, as well as broad understanding across the Microsoft Development toolset: Cloud Technologies (preferably Azure Full Stack) Skills on projects targeting a variety of form factors (e.g. Mobile, IoT) Development Languages (e.g. C#, JavaScript, Java, Front end skills like React, Angular etc.) Application Lifecycle Management (e.g. Agile, TFS etc.) Solution Architecture (e.g. SOA, Enterprise Architecture) Identity and Access Management (IAM), Conditional Access Policies, Strong Authentication, Risk-Based Access, Encryption, Backup & Disaster Recovery, Data Loss Prevention (DLP), Secure Coding Practices, Input Validation, Output Encoding, Authentication and Password Management, Session Management, Cryptography, Threat and Vulnerability Identification, Security Breach Response. Techniques:Implementing modern authentication providers (like EntraID), simulating attacks, writing resilient code, using encryption algorithms, hashing techniques, secret management with key vault, cryptographic protocols. Tools: Azure Security Center, Azure Sentinel, Metasploit, Burp Suite, custom scripts. Good to have skills: Industry vertical knowledge – Retail, Banking and Finance, Telecom etc. Middleware technologies used for integrations Knowledge of Azure DevOps, Docker, Kubernetes etc. 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.

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Role Description Role Proficiency: Acts under limited guidance from DevOps lead to set up and manage DevOps tools and pipelines Outcomes Interpret the DevOps Tool/feature/component design and develop/support the same in accordance with specifications Follow existing SOPs to trouble shoot issues adapting existing DevOps solutions for new contexts Code debug test and document; communicate DevOps development stages/status of DevOps develop/support issues Select appropriate technical options for development such as reusing improving or reconfiguration of existing components Support users and onboard them to existing tools with guidance from DevOps leads Work with diverse teams with Agile methodologies Mentor A1 resources Documentation of Task for reference Measures Of Outcomes Schedule adherence Quality of the code # SLA related to level 1 and level 2 support # of domain certification/ product certification Obtained Facilitate saving through Automation Outputs Expected Automated components: Deliver components that automate parts to install components/configure of software/tools in on-premises and on cloud Deliver components that automate parts of the build/deploy process for applications Configured componentsConfigure a CI/CD pipeline that can be used by application development/support teams Scripts Develop/Support scripts (like Powershell/Shell/Python scripts) that automate installation/ configuration/ build/ deployment tasks Onboard Users Onboard and extend existing tools to new app dev/support teams Mentor Mentor and provide guidance to peers Communication Status update to the respective stakeholders and within the team Skill Examples Install configure troubleshoot CI/CD pipelines and software using Jenkins/Bamboo/Ansible/Puppet /Chef/PowerShell /Docker/Kubernetes Integrate with code/test quality analysis tools like Sonarqube/Cobertura/Clover Integrate build/deploy pipelines with test automation tools like Selenium/Junit/NUnit Scripting skills (Python Linux/Shell/Perl/Groovy/PowerShell) Repository Management/Migration Automation – GIT/BitBucket/GitHub/Clearcase Build automation scripts – Maven/Ant Artefact repository management – Nexus/Artifactory Dashboard Management & Automation- ELK/Splunk Configuration of cloud infrastructure (AWS/Azure/Google) Migration of applications from on-premises to cloud infrastructures Working on Azure DevOps/ARM (Azure Resource Manager)/DSC (Desired State Configuration) and Strong debugging skill in C#/C Sharp/Dotnet Knowledge Examples Knowledge of Installation/Config/Build/Deploy processes and tools Knowledge of IAAS - Cloud providers (AWS/Azure/Google etc.) and their tool sets Knowledge of the application development lifecycle Knowledge of Quality Assurance processes Knowledge of Quality Automation processes and tools Knowledge of Agile methodologies Additional Comments We are looking for a motivated and technically skilled professional with 2–3 years of experience. The ideal candidate should have working knowledge of Docker, Kubernetes, and DB connectivity, along with strong coordination skills to effectively interface with the Application Development Team. Skills Docker,Kubernetes,DB connectivity

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : INR 3000000-4000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: DRIMCO GmbH) (*Note: This is a requirement for one of Uplers' client - AI-powered Industrial Bid Automation Company) What do you need for this opportunity? Must have skills required: Grafana, Graph, LLM, PLM systems, Prometheus, CI/CD, Dask, Kubeflow, MLFlow, or GCP, Python Programming, PyTorch, Ray, Scikit-learn, TensorFlow, Apache Spark, AWS, Azure, Docker, Kafka, Kubernetes, Machine Learning AI-powered Industrial Bid Automation Company is Looking for: We are driving the future of industrial automation and engineering by developing intelligent AI agents tailored for the manufacturing and automotive sectors. As part of our growing team, you’ll play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved. Our highly skilled team includes researchers, technologists, entrepreneurs, and developers holding 15 patents and 20+ publications at prestigious scientific venues like ICML, ICLR, and AAAI. Founded in 2020, we are pioneering collaborative requirement assessment in industry. The combination of the founder’s deep industry expertise, an OEM partnership with Siemens, multi-patented AI technologies and VC backing positions us as the thought leader in the field of requirement intelligence. 🔍 Role Description Design, build, and optimize ML models for intelligent requirement understanding and automation. Develop scalable, production-grade AI pipelines and APIs. Own the deployment lifecycle, including model serving, monitoring, and continuous delivery. Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability. Work on large-scale data processing and real-time pipelines. Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments. Analyze and improve the efficiency and scalability of ML systems in production. Stay current with the latest AI/ML research and translate innovations into product enhancements. 🧠 What are we looking for 3+ years of experience in ML/AI engineering with shipped products. Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn). Strong software engineering practices: version control, testing, documentation. Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP). Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.). Good understanding of microservices, distributed systems and model performance optimization. Comfortable in a fast-paced startup environment; proactive and curious mindset. 🎯 Bonus Points: Experience with natural language processing, document understanding, or LLM (Large Language Model). Experience with Knowledge Graph technologies Experience with logging/monitoring tools (e.g., Prometheus, Grafana). Knowledge of requirement engineering or PLM systems. ✨ What we offer: Attractive Compensation Work on impactful AI products solving real industrial challenges. A collaborative, agile, and supportive team culture. Flexible work hours and location (hybrid/remote). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!