engineering manager

junior ai engineer

maintenance engineer

project engineer

ai ml engineer

<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

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

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

NxtWave

<div>
 
 
 Job Description:
 
 
 
 At NIAT, we believe in delivering practical, industry-relevant training that empowers students to become great developers. Our product developers are passionate about teaching, simplifying complex concepts, and creating inclusive learning environments for students. This is your chance to make a lasting impact on students who have just completed their 12th standard and are eager to excel as developers.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Deliver daily in-person classroom training on programming and/or full-stack development.
 </li>
 <li>
 Design, develop, and implement learning activities, materials, and resources that align with industry standards.
 </li>
 <li>
 Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program.
 </li>
 <li>
 Actively assist and resolve student queries and issues promptly, providing mentorship and guidance.
 </li>
 <li>
 Contribute to curriculum development and improvements based on student feedback and industry trends.
 </li>
 <li>
 Continuously develop and demonstrate a teaching philosophy that inspires student learning.
 </li>
 <li>
 Review student deliverables for accuracy and quality.
 </li>
 <li>
 Handle a class size of 70-100 students, ensuring engagement and effective learning outcomes.
 </li>
 <li>
 Stay current with professional development in both pedagogy and software development practices
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 A Masters degree (M.Tech) in CSE, IT, Data science,AI/ML,Software Engineer etc will be an added advantage.
 </li>
 <li>
 Having teaching or training experience in Computer Science is an added advantage.
 </li>
 <li>
 Passion for teaching and mentoring, with a commitment to student success.
 </li>
 <li>
 Alignment with NxtWaves vision and culture.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Skills Must-Have:
 
 
 <ul>
 <li>
 Professional fluency in English, with excellent communication and presentation skills.
 </li>
 <li>
 Strong proficiency in Python, Java, and JavaScript programming languages. Knowledge of additional programming languages is an added advantage.
 </li>
 <li>
 Strong proficiency in Data Structures and Algorithms.
 </li>
 <li>
 Strong knowledge of object-oriented programming.
 </li>
 <li>
 Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of Microsoft 365 stack is a plus).
 </li>
 <li>
 Ability to quickly learn and use technology platforms to interact with students.
 </li>
 <li>
 Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures.
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Familiarity with Git and version control systems.
 </li>
 <li>
 Strong knowledge of the subject matter, industry standards, and best practices in software development.
 </li>
 <li>
 Ability to adapt teaching methods to various learning styles &amp; requirements.
 </li>
 <li>
 Strong problem-solving and solution-seeking mindset.
 </li>
 <li>
 Openness to constructive feedback and continuous improvement.
 </li>
 <li>
 A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes.
 </li>
 </ul>
 
 
 
 Job Overview:
 
 
 
 
 
 Working days:
 
 6 days a week
 
 
 
 Industry Type:
 
 Education / Training
 
 
 
 Department:
 
 CSE
 
 
 
 Education PG:
 
 M.Tech in CSE or (Computer Science relevant branches)
 
 
 
</div>

Software Development Faculty Trainee

Amazon

<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

<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

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Hyderabad, Telangana, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical field.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 The AI and Infrastructure team is redefining what&rsquo;s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
 
 
 We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer II, Google Cloud

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