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associate ml data operations go ai operations

Amazon

<div>
 
 Description
 
 
 
 This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies &amp; Robotics teams by enabling automation, which includes real-time &amp; offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.
 
 
 An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.
 
 
 Key job responsibilities
 
 
 The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours&rsquo; time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair &amp; sufficient lighting (2) workspace / work related data shouldn&rsquo;t be accessed by anyone other than employee
 
 
 
 The Candidate Is Expected To Demonstrate
 
 
 
 <ul>
 <li>
 Willingness to work in Non-tech role for contract duration of 6 months
 </li>
 <li>
 Ability to audit image/video/text based Jobs
 </li>
 <li>
 Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention &amp; focus on screen
 </li>
 <li>
 Willingness to work on incremental targets/goals on quality &amp; productivity
 </li>
 <li>
 Fast Pace of implementation &amp; consistent performance
 </li>
 <li>
 Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player
 </li>
 <li>
 Readiness to come to office for few days (when required, applicable for associates working from home)
 </li>
 <li>
 Willing to switch ON laptop camera while on virtual meetings.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon&rsquo;s work policy.
 
 
 Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.
 
 
 
 About The Team
 
 
 
 Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
 
 
 </li>
 </ul>
 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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Uttar Pradesh - F26
 
 
 Job ID: A2974593
</div>

Associate, ML Data Operations, GO-AI Operations

<div>
 
 Description
 
 
 
 This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies &amp; Robotics teams by enabling automation, which includes real-time &amp; offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.
 
 
 An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.
 
 
 Key job responsibilities
 
 
 The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours&rsquo; time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair &amp; sufficient lighting (2) workspace / work related data shouldn&rsquo;t be accessed by anyone other than employee
 
 
 
 The Candidate Is Expected To Demonstrate
 
 
 
 <ul>
 <li>
 Willingness to work in Non-tech role for contract duration of 6 months
 </li>
 <li>
 Ability to audit image/video/text based Jobs
 </li>
 <li>
 Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention &amp; focus on screen
 </li>
 <li>
 Willingness to work on incremental targets/goals on quality &amp; productivity
 </li>
 <li>
 Fast Pace of implementation &amp; consistent performance
 </li>
 <li>
 Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player
 </li>
 <li>
 Readiness to come to office for few days (when required, applicable for associates working from home)
 </li>
 <li>
 Willing to switch ON laptop camera while on virtual meetings.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon&rsquo;s work policy.
 
 
 Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.
 
 
 
 About The Team
 
 
 
 Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
 
 
 </li>
 </ul>
 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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Maharashtra - D80
 
 
 Job ID: A2870612
</div>

WaferWire Cloud Technologies

<div>
 
 
 Job Title:
 
 Data Analyst
 
 
 
 Job Location:
 
 Hyderabad, India
 
 
 
 Worksite:
 
 Onsite (100%)
 
 
 
 About WCT:
 
 
 
 WaferWire Technology Solutions (WCT) specializes in delivering comprehensive Cloud, Data, and AI solutions through Microsoft's technology stack. Our services include Strategic Consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy. We excel in Solution Design encompassing Application, Data, and AI Modernization, as well as Infrastructure Planning and Migrations. Our Operational Readiness services ensure seamless DevOps, ML Ops, AI Ops, and Sec Ops implementation. We focus on Implementation and Deployment of modern applications, continuous Performance Optimization, and future-ready innovations in AI, ML, and security enhancements. Delivering from Redmond-WA, USA, Guadalajara, Mexico, and Hyderabad, India, our scalable solutions cater precisely to diverse business requirements and multiple time zones (US time zone alignment).
 
 
 
 About the Role:
 
 
 
 We are looking for a
 
 motivated and detail-oriented Associate Data Analyst
 
 to join our Sales and Business Intelligence team. This role is ideal for recent graduates passionate about data, visualization, and reporting who want to start their career in a dynamic and collaborative environment. The selected candidate will receive hands-on training and mentoring to build skills in reporting, dashboards, KPIs, and automation using industry-leading tools.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Assist in collecting, cleaning, and preparing datasets for reporting and analysis.
 </li>
 <li>
 Support the development of basic dashboards and reports using Excel and Power BI under the guidance of senior analysts.
 </li>
 <li>
 Help monitor key performance indicators (KPIs) and generate simple reports for business users.
 </li>
 <li>
 Participate in weekly team meetings to understand data-related needs and contribute to business insights.
 </li>
 <li>
 Document data processes and reporting standards.
 </li>
 <li>
 Collaborate with cross-functional teams including Sales, Presales, and Partner Managers to gather reporting requirements.
 </li>
 <li>
 Support internal data management tasks, CRM data entry, and accuracy checks.
 </li>
 </ul>
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Information Systems, Statistics, Business Analytics, or related discipline.
 </li>
 <li>
 Strong foundation in
 
 Microsoft Excel
 
 (basic knowledge of formulas, charts, Pivot Tables).
 </li>
 <li>
 Basic understanding of
 
 data analysis concepts
 
 and willingness to learn BI tools like
 
 Power BI
 
 .
 </li>
 <li>
 Good analytical thinking and problem-solving skills.
 </li>
 <li>
 Eagerness to learn and grow in the field of data analytics.
 </li>
 <li>
 Excellent written and verbal communication skills.
 </li>
 <li>
 Strong attention to detail and organizational skills.
 </li>
 <li>
 Team player with the ability to adapt in a fast-paced work environment.
 </li>
 </ul>
 
 
 Preferred (Good to Have):
 
 
 <ul>
 <li>
 Internship or academic projects involving data analysis, reporting, or visualization.
 </li>
 <li>
 Exposure to SQL, Power BI, or any data visualization tool is a plus.
 </li>
 <li>
 Familiarity with CRM systems such as Microsoft Dynamics or Salesforce is an advantage.
 </li>
 <li>
 Basic understanding of cloud computing and Microsoft Azure ecosystem is desirable.
 </li>
 </ul>
 
 
 
 
 
 Equal Employment Opportunity Declaration:
 
 
 
 WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.
 
 
 
</div>

Data Analyst

<div>
 
 
 Job Summary:
 
 
 
 We are looking for a results-driven
 
 Data Scientist
 
 with a strong foundation in
 
 SQL
 
 and
 
 Python
 
 , coupled with hands-on experience in
 
 AI/ML
 
 and exposure to
 
 Generative AI (GenAI)
 
 technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design and implement
 
 AI/ML models
 
 for a variety of business use cases, including prediction, classification, clustering, and personalization.
 </li>
 <li>
 Extract, clean, and manipulate large datasets using
 
 SQL
 
 and
 
 Python
 
 for model development and analysis.
 </li>
 <li>
 Apply and experiment with
 
 Generative AI
 
 techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs.
 </li>
 <li>
 Build scalable data pipelines and automate data workflows.
 </li>
 <li>
 Work collaboratively with cross-functional teams to define project goals and deliver actionable insights.
 </li>
 <li>
 Communicate analytical results and technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Stay current with advancements in
 
 AI/ML
 
 and
 
 GenAI
 
 technologies and frameworks.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Strong programming skills in
 
 Python
 
 with experience in libraries like
 
 Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch
 
 .
 </li>
 <li>
 Proficiency in
 
 SQL
 
 for data extraction, joins, and optimization.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data science best practices.
 </li>
 <li>
 Experience handling structured and unstructured data.
 </li>
 <li>
 Exposure to
 
 Generative AI
 
 tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain).
 </li>
 <li>
 Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.
 </li>
 </ul>
 
 
</div>

Data Scientist

<div>
 
 Description
 
 
 
 AI is the most transformational technology of our time, capable of tackling some of humanity&rsquo;s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
 
 
 We are looking for those candidates who just don&rsquo;t think out of the box, but make the box they are in &lsquo;Bigger&rsquo;. The future is now, do you want to be a part of it? Then read on!
 
 
 This is a fixed term contractual role for 12 months.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Maintain and follow strict confidentiality as customer privacy is our most important tenet
 </li>
 <li>
 Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
 </li>
 <li>
 Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
 </li>
 <li>
 Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
 </li>
 <li>
 Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
 </li>
 <li>
 Eye for detail and ability to pivot from one category of requirement to another instantaneously.
 </li>
 <li>
 Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
 </li>
 <li>
 Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
 </li>
 <li>
 Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
 </li>
 <li>
 Demonstrate ownership in floor support to clarify internal queries during execution on need basis
 
 
 </li>
 </ul>
 A day in the life
 
 
 We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
 
 
 Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers&rsquo; lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 An Associate&rsquo;s Degree or related work experience
 </li>
 <li>
 Strong business writing skills with ability to create reports, proposals, and professional correspondence
 </li>
 <li>
 Advanced reading comprehension with ability to analyze complex business documents
 </li>
 <li>
 Developed analytical thinking and structured problem-solving capabilities
 </li>
 <li>
 Strong ability to interpret and implement detailed instructions across various projects
 </li>
 <li>
 Proficient research skills with experience gathering and synthesizing information from multiple sources
 </li>
 <li>
 Proven attention to detail in managing complex tasks and documents
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field May vary in other locations like India
 </li>
 <li>
 C1+ or equivalent fluency in English language
 </li>
 <li>
 6 months to 1 year of professional work experience with demonstrated task execution ability
 </li>
 <li>
 Proven capacity to leverage open-source resources effectively for comprehensive research purposes
 </li>
 <li>
 Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
 </li>
 <li>
 Project coordination or management experience
 </li>
 <li>
 Experience managing stakeholder relationships across departments
 </li>
 <li>
 Advanced proficiency in Microsoft Office Suite and common business applications
 
 
 </li>
 </ul>
 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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI HYD 16 SEZ - H83
 
 
 Job ID: A3113525
</div>

ML Data Associate-II

Artmac

<div>
 
 Who We Are
 
 
 
 Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
 
 
 
 Job Description
 
 
 
 
 Job Title
 
 &emsp;&emsp;: Junior AI Engineer
 
 
 
 Job Type
 
 : Full-Time
 
 
 
 Experience
 
 : 0 &ndash; 2 years
 
 
 
 Location
 
 &emsp; : Hyderabad , Telangana
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Hands-on experience with AI/ML development or projects (internships or academic projects).
 </li>
 <li>
 Strong understanding of machine learning concepts (supervised, unsupervised, deep learning).
 </li>
 <li>
 Hands-on experience with Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
 </li>
 <li>
 Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
 </li>
 <li>
 Basic understanding of cloud services (AWS, Azure, GCP) and APIs for AI model deployment.
 </li>
 <li>
 Knowledge of SQL and working with structured/unstructured data.
 </li>
 <li>
 Knowledge on LLMs, generative AI, or MLOps tools (e.g., MLflow, Kubeflow).
 </li>
 <li>
 Knowledge of RESTful APIs and model deployment pipelines.
 </li>
 <li>
 Familiarity with Git, Docker, or CI/CD workflows.
 </li>
 <li>
 Design, develop, and implement AI/ML models and algorithms for business applications.
 </li>
 <li>
 Work with large datasets to clean, preprocess, and prepare data for modeling.
 </li>
 <li>
 Experiment with deep learning frameworks and optimize models for accuracy and performance.
 </li>
 <li>
 Collaborate with data scientists, software engineers, and product teams to integrate AI solutions into production.
 </li>
 <li>
 Research and prototype new machine learning approaches or tools.
 </li>
 <li>
 Assist in monitoring, testing, and maintaining deployed AI systems.
 </li>
 <li>
 Document development processes, model results, and technical solutions.
 
 
 </li>
 </ul>
 
 Qualification
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 </ul>
</div>

Junior AI Engineer

<div>
 
 Description
 
 
 
 Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months.
 
 
 Key job responsibilities
 
 
 As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
 
 
 <ul>
 <li>
 Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
 </li>
 <li>
 Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
 </li>
 <li>
 Performing audits and quality checks of tasks completed by other specialists, if required
 </li>
 <li>
 Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
 </li>
 <li>
 Diving deep into issues and implementing solutions independently
 </li>
 <li>
 Identifying and reporting tooling bugs and suggesting improvements
 
 
 </li>
 </ul>
 A day in the life
 
 
 We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
 
 
 Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers&rsquo; lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field or equivalent professional experience
 </li>
 <li>
 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
 </li>
 <li>
 Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
 </li>
 <li>
 Excellent attention to details and ability to focus for a long period of time
 </li>
 <li>
 Ability to effectively write and evaluate diverse subject matter across various domains*
 </li>
 <li>
 Ability to adapt writing style to suit various style guidelines and customers.
 </li>
 <li>
 Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
 </li>
 <li>
 Experience with creating complex data for LLM training and evaluation
 </li>
 <li>
 Strong understanding of U.S.-based culture, society, and norms.
 </li>
 <li>
 Comfortable with high-school level STEM*
 </li>
 <li>
 Familiarity with common markup languages such as HTML, XML, Markdown
 </li>
 <li>
 Familiarity with common standard text formats such as JSON, CSV, RTF
 </li>
 <li>
 Working knowledge of Python or another scripting language
 </li>
 <li>
 Familiarity with regular expressions syntax
 </li>
 <li>
 Familiarity with Large Language Models
 </li>
 <li>
 Comfort in annotation work that may include sensitive content
 
 
 </li>
 </ul>
 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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI HYD 16 SEZ - H83
 
 
 Job ID: A3105155
</div>

AI Content Expert

Explore 179+ Associate ml data operations go ai operations in Hyderabad India this October. Find roles across top companies and apply now to boost your career.

179 associate ml data operations go ai operations jobs IN Hyderabad India

Associate, ML Data Operations, GO-AI Operations

Associate, ML Data Operations, GO-AI Operations

Data Analyst

Data Scientist

ML Data Associate-II

Junior AI Engineer

AI Content Expert