844 Annotation Jobs - Page 34

Sigma.AI is a world leading technology company in data collection and annotation for the development of Artificial Intelligence systems with offices in Spain, the United States and the United Kingdom. Urdu speakers are needed for voice recording project. This project will have a short duration. This is a flexible task that is to be completed through an online application, available 24/7. Requirements Native level of speaking and listening in Urdu.Intermediate level of English or Spanish.Computer skills at user level.It is necessary to have the Android operating system mobile to carry out this project. The Following Will Be Valued Experience in rating or data annotation.Attention to detail. Sigma AI does not hire through third parties.

Job Title: Team Leader Video Labeling Location: Ahmedabad Experience: 3–5 years in IT services, with proven hands-on experience in 2D/3D video and LiDAR data annotation (Box, Polygon, Polyline, Semantic Segmentation, etc.), ideally supporting machine learning or autonomous vehicle projects Education: Bachelor’s or Master’s degree Travel: Willingness to travel between Apexon offices, as required Company Description Apexon is a digital-first technology services firm in Coimbatore, specializing in accelerating business transformation and delivering human-centric digital experiences. With over 27 years of experience, Apexon helps clients outperform their competition through speed and innovation. The company focuses on User Experience (UI/UX, Commerce), Engineering (QE/Automation, Cloud, Product/Platform), and Data (Foundation, Analytics, AI/ML) services with deep expertise in BFSI, healthcare, and life sciences . Position Overview Apexon is looking for a proactive and detail-oriented Team Leader – Video Labeling to supervise and guide day-to-day annotation operations for machine learning and AI-focused projects. In this role, you will be responsible for managing a team of annotators and quality checkers, ensuring tasks are executed efficiently, accurately, and on time. A deep understanding of annotation tools, processes, and quality standards is essential. This role is ideal for someone looking to transition from senior operator roles into leadership with a strong technical backbone in annotation workflows. Key Responsibilities Supervise daily execution of annotation tasks including 2D/3D labelling, bounding boxes, polylines, polygons, semantic segmentation, and LiDAR point cloud labelling Distribute workload among team members, monitor progress, and ensure timely task completion in line with project deadlines and SLAs Provide clear instructions, training, and support to annotation staff on guidelines, tools, and task expectations Conduct regular quality checks and collaborate with quality assurance teams to maintain high annotation accuracy Assist in refining annotation guidelines and escalate ambiguities or tool limitations to project managers or tool developers Act as the first point of contact for addressing team-level technical or operational issues Track key metrics like productivity, accuracy, rework, and turnaround time, reporting findings to higher management Coordinate closely with process leads and cross-functional stakeholders to maintain workflow consistency and improve delivery efficiency Stay updated on tool updates, process changes, and best practices related to annotation and machine learning data labelling Required Skills & Qualifications Hands-on experience in leading or mentoring annotation teams working on computer vision or AV datasets Proficient in annotation tools such as CVAT, Kognic, Canvas, Philosys, Playment, GT Studio, Deepan, or similar platforms Solid understanding of image/video data structures, LiDAR datasets and labeling techniques Experience with quality assurance standards and annotation review processes Strong interpersonal and communication skills, with the ability to manage feedback and resolve team issues Good time management skills, with the ability to prioritize and multitask under tight deadlines Working knowledge of Microsoft Office and Google Workspace for reporting and communication Team & People Responsibilities Support onboarding and continuous training of new team members Foster a positive and inclusive team environment focused on collaboration and performance Encourage participation in team-building and engagement activities Report team issues, risks, and improvement ideas to supervisors or project managers Ensure compliance with Apexon’s work standards, ethics, and data security protocols

The MSCI Data Collections team is primarily responsible for collecting and validating Company Data, ESG, Real assets raw input data from publicly available sources. Daily, the team collects data production and coordinates with stakeholders to understand task priorities. They also ensure quality by reviewing data, ensuring it is up-to-date and adheres to MSCI's data collection guidance and methodology. Additionally, the team's drive to innovate and leverage technology leads them to initiate and collaborate on programs related to data quality and process improvements, such as automation, workflow streamlining projects, and building data QA models.Good understanding of numbers (millions, billions, percentages).Proficient in MS Excel (data entry, navigating multiple spreadsheets, using lookup functions).Skilled in using snipping and annotation tools for snapshots.Knowledge of SharePoint Document Library/Teams for file transfer and communication.Ability to navigate company websites, particularly the investor relations section.Experience extracting data from aggregating websites (e.g., SEC.gov, SEDAR, exchanges).Familiar with public company reporting (10-Ks, annual reports, financial statements, interim reports, bond prospectus, corporate governance documents).Knowledge of capital markets, including navigating stock details on exchanges.Understanding of common corporate events and their impact on securities and issuers.Awareness of different types of listings in various countries (USA, Japan, UK, China).Familiarity with data protection and infringement guidelines (knowing permissible websites for data download).Gather and analyze geographic data using various methods and tools.Proficient in geospatial analysis, data visualization, and understanding spatial relationships.Knowledge of capital markets, corporate events, international listings, and data protection guidelines.Analytical approach to data collection, asking questions to understand data, especially when investigation is needed.Detail-oriented with the ability to spot errors and connect the dots regarding assigned tasks.Adequate written and oral communication skills with high proficiency in English, able to converse easily with the team.Willingness and ability to learn new concepts quickly.Ability to follow standard operating procedures (SOPs) and extend them in cases of uncovered exceptions. Would be an asset if (Good to have but not mandatory) Ability to make and defend sound and consistent judgments, showing expertise when needed.Intrinsically motivated to improve personal performance and constantly seek ways to improve the processes they work with. What We Offer You Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.Flexible working arrangements, advanced technology, and collaborative workspaces.A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose - to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Experience: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 ResumeStep 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: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 ResumeStep 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: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 ResumeStep 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: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 ResumeStep 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: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 ResumeStep 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: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 ResumeStep 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: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 ResumeStep 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: 4.00 + years Salary: USD 80000.00 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. 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 ResumeStep 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!

Selected intern's day-to-day responsibilities include: 1. Collaborate with researchers to determine and understand input data and annotate by drawing boxes to highlight areas of interest in images 2. Support researchers in training deep learning models through accurately categorizing content, labeling images, and annotating data 3. Report and document issues faced from data annotation to research team and discuss solutions to improve data 4. Provide feedback for improvement to existing tools that can improve the accuracy and quality of deep learning models 5. Contribute to workflow process improvements Requirements: 1. Preferably with basic computer literacy and information technology experience 2. Comfortable handling of large data sets regularly 3. Ability to work on repetitive tasks efficiently and effectively with minimal errors 4. Excellent communication, analytical, and reasoning skills 5. Possess high motivation with the desire to learn 6. Proactive attitude 7. Strong interest in artificial intelligence and machine learning, especially in deep learning

Looking for performance-oriented individuals Annotators • Daily annotation of records, including all steps involved within the process, from annotation to timeline review. • Ensure production & accuracy targets are met as per client expectation Required Candidate profile • Exp: 06 to 7 • Science (UG/PG) • Utilize the AI tools effectively, so that the process is efficient and effective • Freshers / exp in nursing/ hospital/ annotation environment is an added advantage

Ensure production & accuracy targets are met as per client expectation Daily learning & updating of changes in client protocols Utilize the AI tools effectively & process is efficient & effective Daily annotation records Required Candidate profile Freshers Any experience in nursing/ hospital/ annotation environment is advantage Strong verbal & written communication skill in English Strong Comprehension skills Good analytical

Description The OPTIMA team is seeking an Instructional Designer. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Instructional Designer will have an imaginative and creative mindset regarding the development of innovative and value-add learning content for curriculum/initiatives that impact strategic capabilities within the OPTIMA organization. The candidate must be driven, talented, comfortable and experienced with all elements of graphic, visual design, branding, animation, and video creation. In addition to strong graphic and media design skills, the candidate must have strong strategic and systems thinking, organizational skills, experience managing small and large projects, and acute attention to detail. They must have excellent communication, presentation, and interpersonal skills and the ability to present and defend their design decisions to leadership. HTML and CSS knowledge is a preferred qualification in order to support the creation of web-style pages as part of the team branding and communication strategy. Key job responsibilities Design templates, graphic content, illustrations, infographics, animations, video and web-style pages within Amazon intranet tools and various other channels. Manage graphic and media designs and multiple complex development projects from conception to delivery. Work with and for various diversified requirements and audience may require multitasking capability. Strong intrinsic design ability, typographic skills, attention to detail, and web expertise with the ability to manage multiple projects and handle large volumes of creative work. Manage the work queue, handle end-to-end design processes, related tools and proactively engage managers and stakeholders when needed. Conduct analysis to identify key tasks/skills to target in the curriculum and perform post implementation evaluation on key performance and business metrics. Communicate and highlight the risks and trade-offs in a project. Leverage technology to improve learner access and provide just in time learning. Incorporate creative execution best practices to ensure high-volume designs are delivered in a timely manner. Basic Qualifications 2+ years of design experience Have an available online portfolio Experience working with a variety of design tools such as Photoshop, Illustrator, and InDesign High proficiency in using authoring tools (Articulate) and Design/illustration tools, Video and Audio editing, Web design, UX Design or Multimedia. Preferred Qualifications Knowledge of user-centered design methodologies, usability principles, web-based information architecture and design High proficiency in using authoring tools and Design/illustration tools, Video and Audio editing and other related platforms. End to End management of Learning & content management systems. Ability to understand Web Design basics and tools for any integrations and content hosting requirements. 4+ years’ experience as an instructional designer or any related position, such as Learning Experience Design, Communications, Education, UX Design or Multimedia training solutions. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2938967

Description The OPTIMA team is seeking a Training Program Manager. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Training Program Manager will be responsible for planning, coordinating and executing training programs for OPTIMA business. The role demands thought clarity, dynamic cross-functional partnership, and strategic thinking. The ideal candidate will be comfortable influencing stakeholders and senior leaders, have strong analytical skills, a track record of using data and tools to drive business impact and be comfortable working in an ambiguous environment. Key job responsibilities Schedule large-scale training initiatives, tracking training completion, and reporting out on training progress. Own New Program launch and New Hire Onboarding, performance enhancement of programs. Handle a direct span of trainers, provides regular coaching and feedback to help grow individual functional skills and leadership capability. Collaborate with both local and global stakeholders to support Training programs and initiatives. Enhance existing training programs, review and supervise the designing of training content for any new process, program and feature/SOP roll out. Basic Qualifications 4+ years of program or project management experience Graduation or Post Graduation in related field. 4+ years of experience working in Training and Learning and Development. Data skills and the ability to understand how learning activities and responsibilities play into the metrics that drive team success. The ability to work in fast-paced ambiguous environments, adapting quickly to changing circumstances, processes and priorities. Demonstrated use of multiple learning methods and linking appropriate methods with learners and outcomes. Ability to influence stakeholders at all levels to understand their role in employee development and help build their skills. Detail-oriented, team-focused, and a quick problem-solver. Full proficiency in MS Office Preferred Qualifications Familiarity with online learning technology (e.g., Articulate Story line). Proven ability to identify opportunities and launch original learning solution(s) with real impact. Experience in Learning Management system and Knowledge management systems. Experience in driving process improvement projects. Experience in requirement gathering and ability to write clear and detailed requirement document Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A2938986

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together. Role description: This role plays a vital role within Arcadis's Global Excellence Centre (GEC), a cohesive and diverse project delivery group consisting of over 3,000 skilled professionals stationed across offices in India, Romania, and the Philippines. Operating in conjunction with our global businesses, the GEC provides essential Capability, Capacity, and Competitive Advantage across various projects and services. Specifically, within the GEC's APM Group (Advanced Process Manufacturing), cross-functional teams drive the development of cutting-edge process engineering solutions for industries such as pharmaceuticals, semiconductors, and others. Our adept project management, client assessment capabilities, and technical expertise are instrumental in achieving successful project outcomes, leveraging innovative computational design approaches. Role accountabilities: Utilize AutoCAD and CADWorx software to create and edit piping and instrumentation diagrams (P&IDs) based on engineering sketches, markups, and specifications. Generate all necessary drawings for project phases, including reports, 2D plans, schematics, and sections. Ensure timely updates to layouts and P&IDs to reflect changes throughout project lifecycles. Verify P&IDs for accuracy, completeness, and compliance with project specifications and standards. Collaborate with engineers and designers to understand project requirements and translate them into precise P&IDs. Maintain adherence to industry standards and best practices in P&ID creation, encompassing equipment, piping, instrumentation, and control elements. Contribute to the development and upkeep of P&ID libraries and templates within CADWorx for efficient project implementation. Operate in accordance with cGMP guidelines and Arcadis SOP/Work instructions. Ensure compliance with Safety, Health, and Environmental (SHE) regulations and sustainability initiatives. Execute tasks within the allocated budget and schedule parameters. Qualifications & Experience: Diploma in a relevant technical or engineering discipline with certified course in CADWorx. [MW1] Minimum 2-3 years of experience preference to working in projects Pharma /process industries using CADWorx software or similar tools such as AutoCAD. Advanced knowledge of AutoCAD design software or CADWorx. Proficiency in using AutoCAD or CADWorx to create and modify piping and instrumentation diagrams[MW2] (P&IDs), including knowledge of symbol libraries, line types, and annotation tools. Knowledge of industry standards and codes relevant to P&ID development (e.g ANSI / ISA, ASME B31.3, BS, DIN, ASTM, etc.). Detail-oriented with a strong focus on accuracy and consistency in P&ID development. Medium English language skills. Eager to learn new capabilities and skills. Good planning, organizational, and communication skills are necessary for success in this position. Nice to have: CADWorx Plant or Plant 3D experience. Experience of developing and interpreting engineering 3D models. Bachelor’s degree in a relevant technical or engineering discipline with certified course in AutoCAD or CADWorx. Advanced English language skills. Candidate to show out-of-the box thinking to identify any opportunities for automation or innovation. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity. #LI-IP1

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together. Role description: This role is a vital component of our Global Excellence Centre (GEC) at Arcadis, our centralized and fully integrated project delivery group. With over 3,000 talented individuals spread across offices in India, Romania, and the Philippines, our GEC provides Capability, Capacity, and a Competitive Advantage across various projects and services in collaboration with our global businesses. Specifically, within the APM Group (Advanced Process Manufacturing) of the GECs, cross-functional teams work on designing and developing innovative process engineering solutions for Pharmaceutical & Process industries. Our ability to effectively manage projects, assess client needs, and provide technical guidance is essential for delivering successful outcomes, employing the most innovative computational design methods. Role accountabilities: Manage P&ID project setup in CADWorx, ensuring alignment with project-specific requirements. Lead creation, modification, and review of P&IDs, ensuring adherence to project requirements and industry standards. Collaborate with engineering teams to provide technical support for specific plant design projects in CADWorx. Develop PFDs and accurate P&IDs representing process flow, equipment, and instrumentation details. Establish best practices for P&ID development and enforce standards within CADWorx. Conduct thorough reviews to ensure P&IDs comply with project specifications and relevant standards. Provide technical guidance to draftsmen, coordinate with interdisciplinary teams, and contribute to P&ID library development. Qualifications & Experience: Possess a Diploma in a relevant technical or engineering discipline and hold certification in CADWorx or similar Plant design software. Demonstrate proven experience as a CADWorx Plant PID Administrator or Coordinator in plant design or related industries. Have a minimum of 4+ years of experience in P&ID project administration. Showcase in-depth knowledge of CADWorx software, including customization, library management, and project-specific configurations. Exhibit proficiency in using Cadworx for developing, reviewing, and validating P&IDs, including expertise in symbol libraries and annotation tools. Display a strong understanding of engineering and design principles relevant to plant layout, process flow, piping design, and instrumentation. Possess proficiency in CAD software and related tools, with the ability to integrate Cadworx P&ID into existing design workflows. Nice to have: Bachelor’s degree in an in a relevant technical or engineering Discipline. Sound knowledge in handling projects on cloud systems and working with Autodesk BIM 360. Affiliation to professional organizations like Autodesk etc. Experience of integrating 2D CAD drawings into a database environment. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity. #LI-IP1

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together. Role description: This role plays a vital role within Arcadis's Global Excellence Centre (GEC), a cohesive and diverse project delivery group consisting of over 3,000 skilled professionals stationed across offices in India, Romania, and the Philippines. Operating in conjunction with our global businesses, the GEC provides essential Capability, Capacity, and Competitive Advantage across various projects and services. Specifically, within the GEC's APM Group (Advanced Process Manufacturing), cross-functional teams drive the development of cutting-edge process engineering solutions for industries such as pharmaceuticals, semiconductors, and others. Our adept project management, client assessment capabilities, and technical expertise are instrumental in achieving successful project outcomes, leveraging innovative computational design approaches. Role accountabilities: Utilize AutoCAD and CADWorx software to create and edit piping and instrumentation diagrams (P&IDs) based on engineering sketches, markups, and specifications. Generate all necessary drawings for project phases, including reports, 2D plans, schematics, and sections. Ensure timely updates to layouts and P&IDs to reflect changes throughout project lifecycles. Verify P&IDs for accuracy, completeness, and compliance with project specifications and standards. Collaborate with engineers and designers to understand project requirements and translate them into precise P&IDs. Maintain adherence to industry standards and best practices in P&ID creation, encompassing equipment, piping, instrumentation, and control elements. Contribute to the development and upkeep of P&ID libraries and templates within CADWorx for efficient project implementation. Operate in accordance with cGMP guidelines and Arcadis SOP/Work instructions. Ensure compliance with Safety, Health, and Environmental (SHE) regulations and sustainability initiatives. Execute tasks within the allocated budget and schedule parameters. Qualifications & Experience: Diploma in a relevant technical or engineering discipline with certified course in CADWorx. [MW1] Minimum 2-3 years of experience preference to working in projects Pharma /process industries using CADWorx software or similar tools such as AutoCAD. Advanced knowledge of AutoCAD design software or CADWorx. Proficiency in using AutoCAD or CADWorx to create and modify piping and instrumentation diagrams[MW2] (P&IDs), including knowledge of symbol libraries, line types, and annotation tools. Knowledge of industry standards and codes relevant to P&ID development (e.g ANSI / ISA, ASME B31.3, BS, DIN, ASTM, etc.). Detail-oriented with a strong focus on accuracy and consistency in P&ID development. Medium English language skills. Eager to learn new capabilities and skills. Good planning, organizational, and communication skills are necessary for success in this position. Nice to have: CADWorx Plant or Plant 3D experience. Experience of developing and interpreting engineering 3D models. Bachelor’s degree in a relevant technical or engineering discipline with certified course in AutoCAD or CADWorx. Advanced English language skills. Candidate to show out-of-the box thinking to identify any opportunities for automation or innovation. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity. #LI-IP1