93 Edx Jobs

Role Objective At Alkemy EdTech, the Open edX Developer will play a key role in designing, customizing, and maintaining our next-generation e-learning platform. The role involves developing features, integrations, and enhancements on the Open edX ecosystem to deliver engaging and scalable learning solutions. Key Responsibilities · Install, configure, and maintain Open edX instances for Alkemy EdTech’s learning products. · Develop custom features, XBlocks, and platform extensions tailored to organizational needs. · Build and optimize front-end experiences using React, HTML, CSS, and JavaScript. · Integrate Open edX with CRMs, payment gateways, and other third-party tools. · Ensure platform performance, security, and scalability for high user traffic. · Collaborate with content, design, and academic teams to deliver impactful e-learning experiences. · Document system architecture, processes, and custom developments for internal knowledge sharing. Required Skills & Qualifications · Strong expertise in Python, Django, and Open edX. · Experience with React.js, JavaScript, HTML5, CSS3. · Hands-on knowledge of XBlocks, theming, and Open edX customization. · Familiarity with Databases (MySQL/PostgreSQL), Docker, Kubernetes, AWS/Azure/GCP. · Understanding of LTI, SCORM, SSO (OAuth/SAML) integrations. · Excellent problem-solving and debugging skills. Preferred Qualifications · Experience with recent Open edX named releases (Lilac, Maple, Nutmeg, Palm, etc.). · Knowledge of Elasticsearch, Redis, RabbitMQ. · Prior work in EdTech/LMS development. · Contributions to the Open edX community. Education & Experience Bachelor’s/Master’s in Computer Science, Engineering, or related field. 2–5 years of development experience (with minimum 1 year in Open edX). Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹45,000.00 per month Benefits: Health insurance Paid time off Work Location: In person

Job Description The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Roles and responsibilities: Design and deliver analytics models aligned with strategic objectives. Partner with pricing, product, and assortment teams to deliver actionable ML-driven insights Ensure robust and well-documented model lifecycle management Present technical results in a clear and actionable manner to business stakeholders Stakeholder Engagement Engage cross-functional teams (merchandising, pricing, category management, leadership) to understand business needs and drive analytics projects Communicate complex analytical concepts in an accessible way to non-technical audiences Business Impact & ROI Drive improvements in revenue, margin, competitive positioning, and operational efficiency through data-driven solutions Develop KPIs to monitor model and business impact, ensuring sustainable value creation Advanced Statistical & Machine Learning Expertise Strong foundation in regression analysis, time-series forecasting, hypothesis testing, A/B testing, and experimental design Hands-on experience building and deploying predictive models for pricing, assortment, sales forecasting, competitive intelligence, and product substitution mapping Applied expertise in ML techniques: classification, clustering, regression, recommendation engines, and feature engineering Domain-Specific Applications Design data science solutions for market intelligence, assortment management, competitive benchmarking, pricing optimization, and digital shelf diagnostics Translate business problems into analytical solutions with measurable business outcomes Scalable Data Pipelines & Model Deployment Develop scalable pipelines and workflows for model building and performance monitoring Implement robust data validation, model explain ability, and documentation practices Technical and Functional Skills: Senior Data Scientist with 8+ years of experience. Master’s degree (preferred) or Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, Engineering, or related quantitative field Additional certifications in Data Science, Machine Learning, or related technologies (AWS/Azure ML, Coursera, edX, etc.) will be an advantage Strong proficiency in Python (Pandas, scikit-learn, NumPy, SQL Alchemy) and SQL. Working knowledge of visualization tools: Power BI, Tableau Exposure to cloud computing environments (Azure / AWS / GCP) About The Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

🧾 Job Title: Business Analyst 📍 Location: Gurgaon 🕒 Experience Required: 2–3 Years 💼 Employment Type: Full-time 🎯 Job Overview Swaran Soft Support Solution Pvt Ltd is seeking a dynamic, forward-thinking Business Analyst with 2–3 years of experience , ideally in AI/ML-focused environments. The ideal candidate will have strong skills in requirement analysis, documentation, stakeholder collaboration , and hands-on exposure to AI technologies , including LLMs (Large Language Models), Prompt Engineering, and Agentic AI . This is a high-impact role that requires working closely with developers, data scientists, and project managers to ensure the successful design and delivery of intelligent business solutions. 📚 Key Responsibilities ✅ Requirement Gathering & Analysis Collaborate with business stakeholders to gather, define, and refine business and technical requirements. Identify gaps in existing workflows and recommend data-driven improvements, particularly leveraging LLMs and Agentic AI capabilities. ✅ Documentation & Process Mapping Prepare comprehensive BRDs, FRS, and User Stories with a clear understanding of AI-driven solution design. Create process maps, user flows, and wireframes to guide technical implementation. ✅ AI/ML & LLM Project Collaboration Work alongside AI/ML teams to: Define data inputs, expected model outcomes, and business impact. Collaborate on prompt engineering strategies for LLM applications (e.g., GPT, Claude, PaLM). Explore use cases for Agentic AI systems to automate decision-making and enhance customer/user experiences. Monitor and analyze AI/LLM outputs to ensure alignment with business goals. ✅ Prompt Engineering & LLM Optimization Draft and test prompts for different LLM-based use cases to improve output accuracy and utility. Develop prompt templates for reuse across departments and optimize based on iterative feedback. ✅ Stakeholder Communication & Alignment Act as the bridge between technical and non-technical teams to ensure common understanding and smooth delivery. Provide consistent progress updates and demos to internal teams and clients. ✅ Testing & Quality Assurance Support in UAT planning and execution, ensuring that LLM/AI-driven systems meet acceptance criteria. Track bugs and iterate with the dev team to improve solution robustness and performance. ✅ Research & Competitive Analysis Stay updated with the latest trends in AI, LLMs, Prompt Engineering, and Agentic AI. Analyze competitor solutions and recommend strategies for innovation and optimization. 🎓 Required Skills & Qualifications Bachelor’s degree in Computer Science, IT, Business Administration, or related fields. 2–3 years of experience in Business Analysis, especially in AI/tech environments. Strong understanding of AI/ML lifecycles, including LLMs, prompt engineering techniques, and agent-based AI systems. Familiarity with AI model structures, training data considerations, and performance metrics. Experience with tools like Jira, Confluence, Trello, SQL, and Excel for documentation and project tracking. Knowledge of process mapping tools (Lucidchart, Visio, etc.). Excellent analytical, problem-solving, and communication skills. 💡 Preferred Skills Certification in Business Analysis (CBAP/CCBA) or AI/ML (Coursera, edX, etc.). Knowledge of Agile/Scrum methodologies. Understanding of API integrations, predictive analytics, and data visualization tools. Exposure to Python, R, or other data analysis/programming languages. Experience with LLM platforms such as OpenAI, Hugging Face, Cohere, or Anthropic. 🚀 Why Join Us? 🌟 Be a pioneer in implementing LLM and Agentic AI in real-world business solutions. 🌟 Work on cutting-edge AI technologies in a collaborative environment. 🌟 Gain end-to-end exposure to AI solution delivery and innovation strategy.

5 - 7 Years 1 Opening Bangalore Role description Lead I - Software Engineering Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at . Summary: UST is looking for a front-end web developer to join the team. Your background will enable you to work in close partnership with UX designers and product managers to bring their visions to life. You must thrive in a fast-paced and dynamic environment. You must be proficient in multiple web code frameworks primarily such as Three.Js, D3, React and Javascript. In the hiring process, be prepared to demonstrate examples of your previous work such as personal or professional projects. Key Responsibilities: Collaborate with our UX designer and product managers as well as backend developers and SDETs to continuously improve our existing platforms as well as bring to life new ones. Create technical documentation to support all code or features developed. Keep current with the latest web development technologies and frameworks. Keep current on the Open edX roadmap to ensure compatibility. Functional Knowledge: 5+ years as a developer building professional grade web based platforms Experience with Three.JS and building 3D objects on web High degree of proficiency with React and Redux Experience with Javascript and D3 Key Qualifications: Ability to manage multiple, competing priorities in a fast-paced, constantly changing environment Ability to work with a distributed team in multiple locations around the world Ability to build good working relationships with an established team of cross-functional partners Strong communication skills and proficient in the English language Expert attention to detail and organizational skills Education BA/BS degree in Computer Science, Technical Communication, English, a related technical discipline, or relevant professional experience. What we believe : We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do. Humility: We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity: Through business, we will better the lives of those less fortunate than ourselves. Integrity: We honour our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures Skills Front End Web Development,Ux Designer,React About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Job Overview: We are seeking an experienced and passionate Data Science Trainer to join our team and deliver comprehensive training programs on Data Science, Machine Learning, Deep Learning, and related technologies. The ideal candidate will have a strong background in data science concepts, practical industry experience, and a proven ability to teach complex topics effectively. This role involves designing and conducting interactive sessions based on our structured syllabus, guiding learners through hands-on projects, and fostering a deep understanding of data-driven problem-solving. Key Responsibilities : Deliver Engaging Training Sessions: Conduct classroom or online sessions on core Data Science topics, including introductions to Data Science vs. Data Analytics vs. AI, project lifecycles, statistical fundamentals, Python programming, data visualization, machine learning algorithms, unsupervised learning, deep learning, natural language processing (NLP), and generative AI. Hands-On Demonstrations and Projects: Lead practical demos using tools like Jupyter, Spyder, Google Colab, and generative AI for exploratory data analysis (EDA), model building, and deployment. Guide participants through case studies such as breast cancer classification, Bangalore housing prices prediction, sales data analysis, and time series forecasting with ARIMA. Curriculum Alignment and Customization: Follow the provided syllabus to cover subtopics like probability distributions, hypothesis testing, regression models (linear, logistic), classifiers (SVM, Decision Trees), ensemble techniques (Random Forests, Gradient Boosting, XGBoost), dimensionality reduction (PCA), clustering (K-Means, DBSCAN), recommendation systems, neural networks (ANN, RNN, LSTM), text preprocessing, word embeddings (Word2Vec), and large language models (LLMs) with transformers. Mentor and Assess Learners: Provide guidance on roles in data science, important learnings, and career paths. Handle Q&A sessions, evaluate participant progress through assignments, cross-validation exercises, and final projects involving model deployment. Incorporate Best Practices : Teach data transformation techniques (scaling, encoding), model validation (K-Fold CV), handling overfitting/underfitting, regularization (Lasso, Ridge), and ethical considerations in AI/ML. Stay Updated and Innovate : Integrate emerging trends like Hugging Face libraries for LLMs and pre-trained models. Collaborate with the team to update the curriculum based on industry advancements. Administrative Duties: Prepare training materials, datasets, and code examples. Track participant engagement and provide feedback for program improvement. Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A PhD is a plus. Certification in Data Science, Machine Learning, or related areas (e.g., from Coursera, edX, or Google) is desirable. Essential Skills and Experience: Technical Expertise: Proficiency in Python programming, including data types, control structures, loops, functions, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, and libraries for NLP (e.g., NLTK, spaCy) and generative AI (e.g., Hugging Face Transformers). Strong knowledge of statistics: central tendency, distributions (normal, skewness, kurtosis), charts (histograms, box plots, scatter plots), probability, hypothesis testing (Z-test, t-test), and confidence intervals. Expertise in Machine Learning: Supervised (regression, classification with metrics like RMSE, R², AUC, confusion matrix), unsupervised (PCA, clustering), ensemble methods (Bagging, Boosting, XGBoost, LightGBM), time series analysis (ARIMA), and recommendation systems (collaborative/content-based filtering). Deep Learning proficiency : Neural networks (perceptrons, backpropagation, activation functions, optimizers), RNNs, LSTMs/GRUs, and language modeling (N-grams, Word2Vec). NLP skills: Text preprocessing (tokenization, stemming, lemmatization), representations (BoW, TF-IDF), sentiment analysis, NER, and applications of pre-trained models. Familiarity with data handling : EDA, cleaning, transformation, partitioning, visualization, and deployment techniques. Teaching and Communication Skills: 3+ years of experience as a trainer, instructor, or mentor in Data Science/ML courses, preferably in academic or corporate settings. Ability to explain complex concepts simply, using real-world use cases (e.g., business problems in mobile/banking). Experience with interactive tools like Google Colab for in-class exercises and AI-assisted learning. Professional Experience: 5+ years in Data Science or related roles, with hands-on project experience in ML model development, deployment, and optimization. Proven track record of working on diverse datasets and case studies, including overfitting mitigation, feature engineering, and hyperparameter tuning (e.g., Grid Search CV). Soft Skills: Excellent presentation and interpersonal skills to engage diverse audiences. Problem-solving mindset with a focus on practical, industry-relevant training. Ability to adapt to learner needs, handle Q&A effectively, and promote collaborative learning. Preferred Qualifications Industry experience in deploying ML models or working with big data tools. Publications, contributions to open-source projects, or speaking engagements in Data Science conferences. Familiarity with ethical AI practices and bias mitigation in models.

Role Overview We are seeking a dynamic and proactive Lead – Resourcing to drive the identification, onboarding, and management of Guest Faculty , Subject Matter Experts (SMEs) , and Teaching Assistants (TAs) for online and offline learning programs in the IT/ITES domain . This role is instrumental in ensuring the delivery of high-quality learning experiences by partnering with experienced professionals and academic experts. The ideal candidate will have a proven track record in talent sourcing, stakeholder collaboration, and operational execution in an academic or corporate learning environment. Location: Bangalore Key Responsibilities Talent Acquisition & Sourcing Identify, evaluate, and onboard Guest Faculty, SMEs, and TAs for technical and non-technical courses across online and offline delivery formats. Source professionals with a minimum of 7+ years of industry experience to enrich training quality and real-world applicability. Develop and maintain a pipeline of trainers, freelancers, and consultants for various subject areas, with a strong focus on the IT/ITES sector. Stakeholder Management Collaborate with academic teams, program managers, and instructional designers to assess resourcing requirements and define faculty profiles. Act as a liaison between internal teams and external trainers, ensuring smooth communication and alignment of deliverables. Onboarding & Engagement Coordinate the end-to-end onboarding process including documentation, contracts, and orientation for new faculty and TAs. Ensure trainers and SMEs are well-prepared to deliver engaging and pedagogically sound sessions (both live and recorded formats). Teaching Assistant Sourcing & Deployment Recruit and assign Teaching Assistants based on course complexity, size, and learning objectives. Monitor and manage TA performance, providing guidance and support to ensure delivery standards are maintained. Quality Assurance & Feedback Conduct regular performance reviews and collect feedback from stakeholders and learners. Maintain a high-quality content development and delivery benchmark , aligned with institutional goals and industry trends. Skills & Competencies Strong understanding of talent acquisition principles with the ability to assess technical expertise and teaching potential. Excellent communication, negotiation, and stakeholder management skills. Hands-on experience in managing freelance educators, consultants, and training vendors . High degree of organizational skills, attention to detail, and the ability to manage multiple priorities. Comfortable working in a fast-paced, collaborative, and matrixed environment . Proficiency in using MS Office, applicant tracking systems (ATS), and project management tools . Qualifications Education Bachelor’s degree in Engineering, Technology, Education, Business , or a related field. Master’s degree (preferred) in Education Management, Human Resources, Instructional Design, or related discipline . Experience 6–10 years of experience in faculty resourcing, academic staffing, corporate training, or L&D functions . Proven experience in managing trainer networks in the IT/ITES sector is highly desirable. Exposure to online learning platforms (Coursera, edX, Moodle, etc.) and understanding of content development life cycles.

Job Overview: We are seeking an experienced and passionate Data Science Trainer to join our team and deliver comprehensive training programs on Data Science, Machine Learning, Deep Learning, and related technologies. The ideal candidate will have a strong background in data science concepts, practical industry experience, and a proven ability to teach complex topics effectively. This role involves designing and conducting interactive sessions based on our structured syllabus, guiding learners through hands-on projects, and fostering a deep understanding of data-driven problem-solving. Key Responsibilities: Deliver Engaging Training Sessions: Conduct classroom or online sessions on core Data Science topics, including introductions to Data Science vs. Data Analytics vs. AI, project lifecycles, statistical fundamentals, Python programming, data visualization, machine learning algorithms, unsupervised learning, deep learning, natural language processing (NLP), and generative AI. Hands-On Demonstrations and Projects: Lead practical demos using tools like Jupyter, Spyder, Google Colab, and generative AI for exploratory data analysis (EDA), model building, and deployment. Guide participants through case studies such as breast cancer classification, Bangalore housing prices prediction, sales data analysis, and time series forecasting with ARIMA. Curriculum Alignment and Customization: Follow the provided syllabus to cover subtopics like probability distributions, hypothesis testing, regression models (linear, logistic), classifiers (SVM, Decision Trees), ensemble techniques (Random Forests, Gradient Boosting, XGBoost), dimensionality reduction (PCA), clustering (K-Means, DBSCAN), recommendation systems, neural networks (ANN, RNN, LSTM), text preprocessing, word embeddings (Word2Vec), and large language models (LLMs) with transformers. Mentor and Assess Learners: Provide guidance on roles in data science, important learnings, and career paths. Handle Q&A sessions, evaluate participant progress through assignments, cross-validation exercises, and final projects involving model deployment. Incorporate Best Practices: Teach data transformation techniques (scaling, encoding), model validation (K-Fold CV), handling overfitting/underfitting, regularization (Lasso, Ridge), and ethical considerations in AI/ML. Stay Updated and Innovate: Integrate emerging trends like Hugging Face libraries for LLMs and pre-trained models. Collaborate with the team to update the curriculum based on industry advancements. Administrative Duties: Prepare training materials, datasets, and code examples. Track participant engagement and provide feedback for program improvement. Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A PhD is a plus. Certification in Data Science, Machine Learning, or related areas (e.g., from Coursera, edX, or Google) is desirable. Essential Skills and Experience: Technical Expertise: Proficiency in Python programming, including data types, control structures, loops, functions, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, and libraries for NLP (e.g., NLTK, spaCy) and generative AI (e.g., Hugging Face Transformers). Strong knowledge of statistics: central tendency, distributions (normal, skewness, kurtosis), charts (histograms, box plots, scatter plots), probability, hypothesis testing (Z-test, t-test), and confidence intervals. Expertise in Machine Learning: Supervised (regression, classification with metrics like RMSE, R², AUC, confusion matrix), unsupervised (PCA, clustering), ensemble methods (Bagging, Boosting, XGBoost, LightGBM), time series analysis (ARIMA), and recommendation systems (collaborative/content-based filtering). Deep Learning proficiency: Neural networks (perceptrons, backpropagation, activation functions, optimizers), RNNs, LSTMs/GRUs, and language modeling (N-grams, Word2Vec). NLP skills: Text preprocessing (tokenization, stemming, lemmatization), representations (BoW, TF-IDF), sentiment analysis, NER, and applications of pre-trained models. Familiarity with data handling: EDA, cleaning, transformation, partitioning, visualization, and deployment techniques. Teaching and Communication Skills: 3+ years of experience as a trainer, instructor, or mentor in Data Science/ML courses, preferably in academic or corporate settings. Ability to explain complex concepts simply, using real-world use cases (e.g., business problems in mobile/banking). Experience with interactive tools like Google Colab for in-class exercises and AI-assisted learning. Professional Experience: 5+ years in Data Science or related roles, with hands-on project experience in ML model development, deployment, and optimization. Proven track record of working on diverse datasets and case studies, including overfitting mitigation, feature engineering, and hyperparameter tuning (e.g., Grid Search CV). Soft Skills: Excellent presentation and interpersonal skills to engage diverse audiences. Problem-solving mindset with a focus on practical, industry-relevant training. Ability to adapt to learner needs, handle Q&A effectively, and promote collaborative learning. Preferred Qualifications Industry experience in deploying ML models or working with big data tools. Publications, contributions to open-source projects, or speaking engagements in Data Science conferences. Familiarity with ethical AI practices and bias mitigation in models.

The group you’ll be a part of Many years ago, Lam Research embarked on a journey to set up a global center in Bangalore to expand its reach Indian talent pool. Over decade, this center expanded its capability and scope beyond engineering to global manufacturing, supply chain operations and other shared services. One of the major functional groups of this entity is LIGHT (Lam India Global Hardware Technology). In Hardware group, mechanical engineers, simulation analysts, electrical engineers, manufacturing engineers, and engineering support functions work collaboratively to design, develop sub-assemblies and sub-systems for Lam’s next-generation products. LIGHT has completed more than a decade of growth and has emerged as a major new product development and sustaining engineering team for Lam’s global engineering footprint. The impact you’ll make There is an opening for the role of Mechanical Engineer Sr. This position is based out of Bangalore, directly reporting to the leader of Clean-Mechanical team in WETS (Wet Equipment Technology Solutions) Group of LIGHT. This individual will drive materials projects for Clean Product Line. Primary Responsibilities Collaborate with cross-functional teams to drive innovation and improve material performance in semiconductor applications. Stay updated with the latest advancements in materials science and semiconductor technologies to ensure cutting-edge solutions. Develop and implement best practices for material selection, testing, and analysis to enhance product reliability and performance. Ensure compliance with industry standards and regulations related to material usage and testing in semiconductor applications. Proven track record of research and development in materials science, particularly in the semiconductor industry. Strong communication skills to effectively convey technical information to non-technical stakeholders. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Eligibility Criteria Bachelor’s in Mechanical/Materials Engineering with minimum 3 to 5 years of relevant experience. Or Master’s in Mechanical/Materials Engineering with minimum 2 yrs Mandatory Skills And Experience Required To Perform The Job Experience in Materials Science, Mechanical Engineering, Chemistry, or a relevant discipline, with a robust understanding of materials used in deposition groups, cleaning processes, and optoelectronic device packaging, particularly plastics. Demonstrate experience with thermoplastic and thermoset plastic materials, including their fabrication processes, characterization, and analytical methods. Possess an in-depth understanding of semiconductor IC, IC package, and board fabrication/assembly processes, with a focus on material analysis. Conduct deep-dive material analysis using techniques such as EDX, XRD, AFM, GC-MS, and similar methods to identify material composition. Have hands-on experience in non-destructive testing (NDT), physical sample preparation, optical and electron microscopy, and material analysis for plastics. Summarize failure analysis findings in comprehensive reports and effectively communicate results with stakeholders, customers, and suppliers. Exhibit strong analytical and problem-solving skills to evaluate root causes and propose effective solutions. Progress towards becoming a key technical expert in materials engineering, contributing to sustainable transit solutions and advancing leadership in cross-functional projects. Identify technology development opportunities for growth and investment. Desirable Skills Experience in Semiconductor Wafer Fab Equipment (WFE) domain (Good to have) Excellent communication, both written and verbal, and technical presentation skills. Hands-on experimental and design background coupled with solid engineering skills. Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Tata Electronics Private Limited (TEPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components. Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s first AI-enabled state-of-the-art Semiconductor Foundry. This facility will produce chips for applications such as power management IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence. Tata Electronics is a subsidiary of the Tata group. The Tata Group operates in more than 100 countries across six continents, with the mission 'To improve the quality of life of the communities we serve globally, through long term stakeholder value creation based on leadership with Trust. Responsibilities: Lead Fab Module Engineering Team Transfer of technologies from partner fabs Qualification of all modules in Dholera fab Develop and implement standardized fab procedures Support R&D and tech transfer teams with module development Build and lead a cross functional team across diverse geographies Build strong customer relationships based on confidence in TEPL technical capabilities and technology/manufacturing reliability Presentation to internal and customer senior executives Travel, as necessary Essential Attributes: Ability to manage, mentor, and lead a team of highly motivated professionals. Able to work independently, self-motivated with a strong drive to win. Team player with the ability to work across diverse cross-functional teams spread across the world. Leadership skills to influence all levels of the organization. You’re inclusive, adapting your style to the situation and diverse global norms of our people. An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change. Qualifications: M.S or PhD in Physics, Electrical Engineering, Materials Science or equivalent 10+ years experience as Module Manager in 300mm fab Understanding of key modules theory and practice (photo, etch, diffusion, CVD, PVD, Implant, CMP, Electroplating, Cleans, etc) Understanding of statistics and Design of Experiments Understanding of process characterization methods (SEM/EDX, SIMS, etc) Understanding of device failure modes Understanding of defect characterization and improvement Ability to lead cross-functional teams and achieve project completion within timeline and cost targets Ability to work across different cultures and geographies Good team player Innovation and competitive mindset Desired Experience Level: 15+ years experience in the semiconductor industry Proven track record of successfully developing new technologies into high volume production Proven problem solving skills using design of experiments and analytical tools

Job Description We are seeking a motivated and skilled Research Associate - Battery Materials to join Nexus Power team. The ideal candidate will contribute to cutting-edge research in rechargeable batteries and advanced materials. This position offers an exciting opportunity to work on innovative projects in the fields of energy storage materials, focusing on the design, analysis, and application of cutting-edge materials for next-generation rechargeable batteries. Key Responsibilities Conduct independent and collaborative research focused on rechargeable batteries. Innovate in the synthesis, testing, and enhancement of battery materials to achieve superior performance and efficiency. Perform detailed physical characterization using XRD, SEM, EDX, BET, TEM,XPS, TGA/DSC, ICP, FTIR and Raman Spectroscopy of synthesized materials. Perform detailed Electrochemical characterization using CV, GCD, EIS and GITT techniques. Analyze and interpret data to assess material properties and optimize cell performance. Leverage research findings to identify, troubleshoot, and resolve challenges effectively. Prepare comprehensive reports and presentations for internal reviews and external stakeholders. Collaborate with cross-functional teams and industry partners to align research objectives. Mentor junior researchers or interns, providing guidance on experimental design and analysis. Proven ability to address and resolve complex research challenges. Requirements Preferred Qualifications Ph.D. in Materials Science, Energy Science and Engineering, Chemical Engineering, Chemistry, Nanotechnology, or related fields. OR M.Tech/M.Sc. in Materials Science, Energy Science and Engineering, Chemical Engineering, Chemistry, Nanotechnology, or related fields, with a minimum of 2 to 3 years of relevant experience. Demonstrated research experience in rechargeable batteries, supported by a thesis or substantial published work. Proficient in safety protocols, environmental considerations, and simulation tools for material design and battery performance modeling. Highly analytical, detail-oriented, and self-motivated, with the ability to work independently and within teams. Committed to staying updated on the latest advancements in battery technology and research. Benefits Benefits: Benefits will include, Provident Fund Health Insurance Application Process: Carefully review the job description (JD) and submit your application through the designated job portal. Upon receiving your application, the HR Team will send a brief questionnaire to initiate the evaluation process. Shortlisted candidates will proceed to a personal interview and a skill assessment test following the questionnaire evaluation. Successful candidates will be notified directly via email by the HR Team, and the orientation process will commence. After the offer letters are issued, the onboarding process will begin, during which specific job roles and responsibilities will be assigned.

Handling operations and support queries via email & call. Direct interaction with client POC. Conducting training sessions for clients on the product (edX platform). Creating reports in the specified format for clients on excel. Job Types: Full-time, Permanent, Fresher Pay: ₹25,000.00 - ₹32,000.00 per month Benefits: Health insurance Provident Fund Ability to commute/relocate: Pimpri-Chinchwad, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 1 year (Preferred) Customer service: 1 year (Preferred) Work Location: In person

Job Description: AI Specialist We are hiring AI Specialists (freshers and experienced) who are passionate about Artificial Intelligence, Machine Learning, and Data Science, and eager to contribute to impactful AI-driven solutions. Responsibilities Develop, deploy, and optimize AI/ML models for real-world applications. Work with Python, data structures, and algorithms to build scalable solutions. Implement projects using Machine Learning and Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn, Keras). Perform data preprocessing, feature engineering, and visualization for model training. Collaborate with teams to integrate AI into business applications, automation workflows, and decision-support systems. Stay updated with advancements in AI, ML, DL, and responsible AI practices. (For experienced candidates) Mentor junior team members and contribute to knowledge-sharing. Desired Candidate Profile Strong programming skills in Python (knowledge of R/Java/C++ is a plus). Understanding of ML algorithms (regression, classification, clustering, recommendation, etc.) and DL concepts (CNNs, RNNs, Transformers). Experience with data visualization tools (Matplotlib, Seaborn, PowerBI, Tableau preferred). Familiarity with cloud AI platforms (AWS, Azure, GCP) is an advantage. Strong analytical and problem-solving skills. Good communication and ability to simplify complex AI concepts. Preferred but not mandatory Prior experience in AI/ML projects, internships, or research. Publications, Kaggle participation, or GitHub project portfolio. AI/ML certifications (Coursera, edX, Udacity, etc.). Key Skills Artificial Intelligence, Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, Scikit-learn, Data Preprocessing, Data Visualization, NLP, Computer Vision, AI Deployment, Cloud AI Platforms. Education UG: B.Tech/B.E. (CSE, IT, ECE), B.Sc., BCA, or equivalent. PG: M.Tech, M.Sc., MCA, MBA (with technical specialization preferred). Self-taught professionals with strong AI/ML skills are also encouraged to apply. Job Types: Full-time, Permanent, Fresher Pay: ₹25,000.00 - ₹50,000.00 per month Benefits: Cell phone reimbursement Commuter assistance Ability to commute/relocate: Gotri, Vadodara, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Location: Gotri, Vadodara, Gujarat (Required) Work Location: In person

Job Description The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Roles And Responsibilities Key Responsibilities Design and deliver analytics models aligned with strategic objectives. Partner with pricing, product, and assortment teams to deliver actionable ML-driven insights Ensure robust and well-documented model lifecycle management Present technical results in a clear and actionable manner to business stakeholders Stakeholder Engagement Engage cross-functional teams (merchandising, pricing, category management, leadership) to understand business needs and drive analytics projects Communicate complex analytical concepts in an accessible way to non-technical audiences Business Impact & ROI Drive improvements in revenue, margin, competitive positioning, and operational efficiency through data-driven solutions Develop KPIs to monitor model and business impact, ensuring sustainable value creation Advanced Statistical & Machine Learning Expertise Strong foundation in regression analysis, time-series forecasting, hypothesis testing, A/B testing, and experimental design Hands-on experience building and deploying predictive models for pricing, assortment, sales forecasting, competitive intelligence, and product substitution mapping Applied expertise in ML techniques: classification, clustering, regression, recommendation engines, and feature engineering Domain-Specific Applications Design data science solutions for market intelligence, assortment management, competitive benchmarking, pricing optimization, and digital shelf diagnostics Translate business problems into analytical solutions with measurable business outcomes Scalable Data Pipelines & Model Deployment Develop scalable pipelines and workflows for model building and performance monitoring Implement robust data validation, model explainability, and documentation practices Technical And Programming Skills Senior Data Scientist with 8+ years of experience. Master’s degree (preferred) or Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, Engineering, or related quantitative field Additional certifications in Data Science, Machine Learning, or related technologies (AWS/Azure ML, Coursera, edX, etc.) will be an advantage Strong proficiency in Python (Pandas, scikit-learn, NumPy, SQLAlchemy) and SQL. Working knowledge of visualization tools: Power BI, Tableau Exposure to cloud computing environments (Azure / AWS / GCP) About The Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

Own and execute all quality assurance activities across the product lifecycle from new product introduction (NPI) through volume ramp, sustaining production, and product EOL. • Drive qualification strategy including HTOL, HAST, TC, and ESD/EMC based on JEDEC, AEC-Q100 and customer-specific standards. • Lead internal audits, MRB, Change Board reviews, and quality gate approvals in the PLM system. Quality Management System (QMS): • Develop and maintain ISO 9001-compliant QMS tailored to fabless semiconductor operations. • Lead documentation and process mapping, CAPA implementation, and internal training programs to ensure cross-functional adherence. Supplier Quality Management:  Establish quality expectations and audit criteria for foundries, OSATs, and test vendors.  Manage scorecards, supplier 8D responses, and escalation of systemic quality escapes. Customer Quality:  Interface with Tier-1 infrastructure customers for quality dashboards, PCN alignment, and RMA investigation outcomes.  Lead root cause analysis (5-Why, Fishbone, Fault Tree) and customer communications related to returns. Product and Package Qualification:  Develop comprehensive device and package-level qualification plans in collaboration with Product Engineering, Design, and Reliability teams, ensuring alignment with JEDEC, AEC-Q100, and customer-specific standards.  Own and maintain the qualification catalog including technology, device, and package qualifications; family qualification matrices; and Qualification by Extension (QBE) specifications to enable reuse, ensure traceability, and support efficient qualification planning. Compliance and Certification:  Ensure adherence to JEDEC (JESD47, JESD22), ISO 9001, RoHS, REACH, 3TG, and relevant military standards (e.g., MIL-STD-883) as applicable to product classification. Qualifications:  Bachelor’s degree in Electrical Engineering (BSEE), Materials Science and Engineering (BSMSE), Applied Physics (BSAP), or a related technical field is required. A Master’s degree with a focus on reliability engineering is a plus.  8+ years of quality management experience in the semiconductor industry.  Demonstrated ability to lead cross-functional teams and influence quality outcomes across internal and external stakeholders.  In-depth knowledge of industry quality standards including JEDEC, ISO 9001, AEC-Q100, and military standards such as MIL-STD-883.  Expertise in developing qualification plans for stress-driven reliability testing.  Deep experience with semiconductors in SiGe, GaAs, and GaN technologies.  Detailed knowledge of wafer fabrication methods and package assembly techniques (QFN, Flip- chip, LGA, BGA).  Proven experience implementing and managing QMS systems.  Strong understanding of root cause analysis of semiconductor ICs and FA techniques (CSAM, X- ray, SEM/EDX, FIB-SEM, EMMI, CIVA, curve tracing, de-cap analysis, and elemental techniques such as SIMS, XPS, or AES).  Proficient at 8D reporting and coordinating supplier audits.

WGS2D – Senior Software Engineer – Digital Assets, Capital Markets & Blockchain Location: Work from Office - Hyderabad, India | Type: Contract | Practice: – Global Financial Services Start Date : October 1, 2025 About WGS2D WGS2D is a boutique consulting firm built by experienced leaders from top-tier firms. We’re known for moving fast, delivering real outcomes, and putting the client first—always. What sets us apart is how we execute. We don’t just advise; we own results. Our Say/Do ratio is 100%—if we say it, we do it. We specialize in high-impact, customized solutions that drive growth, improve efficiency, and elevate the client experience. We lead with integrity, act with courage, and bring a mindset of partnership to every engagement. Our Pillars - What we stand on and these guide every decision and define what we deliver: Say/Do Ratio: 100%- Outcome Driven | Transparency | Client-First Execution | Custom Solutions | Speed & Agility | Innovation That Solves Problems | People with Purpose Role Overview We are seeking a Senior Software Engineer with 8–10 years of experience in financial services, fintech, blockchain, and crypto solutions , backend systems, and distributed applications. This is a hands-on role suited for a technologist who thrives on coding, system design, and performance optimization. Work timings: 3pm-12am IST, Monday–Friday (aligned to global teams; remote WFH may be considered on a case-by-case basis) . Key Responsibilities · Design, build, and maintain high-performance distributed applications in trading, risk, data-intensive domains, and fintech/crypto platforms. · Translate business and regulatory requirements into scalable technical solutions. · Design and optimize event-driven and real-time systems (Kafka, Snowflake, streaming APIs). · Implement scalable solutions with a focus on latency reduction, throughput optimization, and fault tolerance. · Work with databases (SQL and NoSQL) to ensure reliability and performance. · Deploy applications on cloud-native platforms using Docker and Kubernetes. · Deliver capital markets applications (trading, loan management, reconciliation, risk) across global teams. · Implement cloud-native architectures (microservices, containerization, orchestration). · Integrate with streaming/event-driven systems (Kafka, Snowflake, APIs). · Ensure data quality, monitoring, and observability across systems. · Collaborate with global teams on end-to-end delivery, including CI/CD pipelines and DevOps practices. · Collaborate with product owners, architects, and stakeholders to ensure alignment between business goals and technical delivery. · Mentor junior engineers, review designs, and promote best practices in software/data engineering. Required Skills · 8–10 years’ experience in enterprise software engineering, with 3–4 years in technical design. · Strong programming expertise in Java, Python (Django, Celery, task queues), C++. · Solid knowledge of distributed systems, multithreading, and performance tuning. · Containerization, Docker, Kubernetes · Experience with Kafka, Redis, DynamoDB, or similar technologies. · Strong SQL and database optimization experience (Postgres, MSSQL, Oracle). · Hands-on experience with monitoring and observability tools (Elastic APM, DataDog, etc.) · Familiarity with cloud deployment (AWS, Azure, or GCP). Good to Have · Work experience in stock/emerging exchanges: Kraken, Binance, EDX, Swan, Archax, IEX, MEMX, etc. · Experience in ad-tech, trading systems, or loan/trade lifecycle platforms. · Exposure to AI/ML workflows or event-sourcing. · Exposure to regulatory technology projects (reconciliation, data quality, BCBS 239). · Familiarity with front-end technologies (ReactJS, Angular, TypeScript). Awareness/Domain Exposure · Compliance operations – KYC/AML, Transaction monitoring, etc · CX Operations – Onboarding support, KYC, Trading Experience, Dispute resolution, payments & withdrawals Why Join Us This role offers a unique opportunity to merge cutting-edge blockchain knowledge with critical financial compliance expertise, shaping the onboarding experience for a truly global workforce. As part of a high-performing, mission-driven team, you’ll influence how knowledge is shared, absorbed, and put into action in one of the world’s fastest-evolving industries.

Job Description: Data Science Trainer (Offline Training)Job Overview We are seeking an experienced and passionate Data Science Trainer to join our team and deliver comprehensive training programs on Data Science, Machine Learning, Deep Learning, and related technologies. The ideal candidate will have a strong background in data science concepts, practical industry experience, and a proven ability to teach complex topics effectively. This role involves designing and conducting interactive sessions based on our structured syllabus, guiding learners through hands-on projects, and fostering a deep understanding of data-driven problem-solving. The training program spans approximately 80 hours, covering foundational to advanced topics, and emphasizes real-world applications in sectors like mobile, banking, and healthcare. Key Responsibilities Deliver Engaging Training Sessions : Conduct classroom or online sessions on core Data Science topics, including introductions to Data Science vs. Data Analytics vs. AI, project lifecycles, statistical fundamentals, Python programming, data visualization, machine learning algorithms, unsupervised learning, deep learning, natural language processing (NLP), and generative AI. Hands-On Demonstrations and Projects : Lead practical demos using tools like Jupyter, Spyder, Google Colab, and generative AI for exploratory data analysis (EDA), model building, and deployment. Guide participants through case studies such as breast cancer classification, Bangalore housing prices prediction, sales data analysis, and time series forecasting with ARIMA. Curriculum Alignment and Customization : Follow the provided syllabus to cover subtopics like probability distributions, hypothesis testing, regression models (linear, logistic), classifiers (SVM, Decision Trees), ensemble techniques (Random Forests, Gradient Boosting, XGBoost), dimensionality reduction (PCA), clustering (K-Means, DBSCAN), recommendation systems, neural networks (ANN, RNN, LSTM), text preprocessing, word embeddings (Word2Vec), and large language models (LLMs) with transformers. Mentor and Assess Learners : Provide guidance on roles in data science, important learnings, and career paths. Handle Q&A sessions, evaluate participant progress through assignments, cross-validation exercises, and final projects involving model deployment. Incorporate Best Practices : Teach data transformation techniques (scaling, encoding), model validation (K-Fold CV), handling overfitting/underfitting, regularization (Lasso, Ridge), and ethical considerations in AI/ML. Stay Updated and Innovate : Integrate emerging trends like Hugging Face libraries for LLMs and pre-trained models. Collaborate with the team to update the curriculum based on industry advancements. Administrative Duties : Prepare training materials, datasets, and code examples. Track participant engagement and provide feedback for program improvement. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A PhD is a plus. Certification in Data Science, Machine Learning, or related areas (e.g., from Coursera, edX, or Google) is desirable. Essential Skills and Experience Technical Expertise : Proficiency in Python programming, including data types, control structures, loops, functions, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, and libraries for NLP (e.g., NLTK, spaCy) and generative AI (e.g., Hugging Face Transformers). Strong knowledge of statistics: central tendency, distributions (normal, skewness, kurtosis), charts (histograms, box plots, scatter plots), probability, hypothesis testing (Z-test, t-test), and confidence intervals. Expertise in Machine Learning: Supervised (regression, classification with metrics like RMSE, R², AUC, confusion matrix), unsupervised (PCA, clustering), ensemble methods (Bagging, Boosting, XGBoost, LightGBM), time series analysis (ARIMA), and recommendation systems (collaborative/content-based filtering). Deep Learning proficiency: Neural networks (perceptrons, backpropagation, activation functions, optimizers), RNNs, LSTMs/GRUs, and language modeling (N-grams, Word2Vec). NLP skills: Text preprocessing (tokenization, stemming, lemmatization), representations (BoW, TF-IDF), sentiment analysis, NER, and applications of pre-trained models. Familiarity with data handling: EDA, cleaning, transformation, partitioning, visualization, and deployment techniques. Teaching and Communication Skills : 3+ years of experience as a trainer, instructor, or mentor in Data Science/ML courses, preferably in academic or corporate settings. Ability to explain complex concepts simply, using real-world use cases (e.g., business problems in mobile/banking). Experience with interactive tools like Google Colab for in-class exercises and AI-assisted learning. Professional Experience : 5+ years in Data Science or related roles, with hands-on project experience in ML model development, deployment, and optimization. Proven track record of working on diverse datasets and case studies, including overfitting mitigation, feature engineering, and hyperparameter tuning (e.g., Grid Search CV). Soft Skills : Excellent presentation and interpersonal skills to engage diverse audiences. Problem-solving mindset with a focus on practical, industry-relevant training. Ability to adapt to learner needs, handle Q&A effectively, and promote collaborative learning. Preferred Qualifications Industry experience in deploying ML models or working with big data tools. Publications, contributions to open-source projects, or speaking engagements in Data Science conferences. Familiarity with ethical AI practices and bias mitigation in models. *** Food and Accommodation will be provided. **** This is offline opportunity, people who are looking for online opportunity please don't apply.

Company Description Eudoxia Research Centre provides international research opportunities, internship programs, industry visits, and employment in the research sector. It honors contributors with the prestigious Fellow Member of Eudoxia Research Centre (FMERC) for outstanding contributions to various fields including Science, Technology, Management, and more. EDX Talks is another platform for academics to submit videos for international media appearance. Eudoxia Education offers direct admissions to partner universities without any cash transactions and provides quality learning through both direct classroom and online teaching by experienced professionals. Eudoxia is dedicated to the growth of academic and research endeavors for scholars and the general public. Role Description This is a full-time, on-site role for an Admissions Officer, located in Guwahati , Mumbai. The Admissions Officer will be responsible for managing the admissions process, evaluating applications, conducting interviews, and providing guidance to prospective students. They will also be involved in international admissions processes, assisting students and families with inquiries, and maintaining records of all admissions data. The role includes customer service responsibilities, providing support and information to students and parents. WORK FROM HOME IS ALSO POSSIBLE Qualifications Strong Interpersonal Skills and Communication skills Experience in International Admissions and understanding of the educational sector Customer Service skills beneficial for providing support and information to students and families Proficiency in using various communication platforms and technologies Relevant experience in the admissions process or educational counseling is advantageous Bachelor’s degree in Education, Counseling, or a related field

Job Title: Manager (Program Operations) - High School Programs Reports To: Assistant Vice President and Lead - High School Programs Location: Ashoka University Campus, Sonipat Experience (in years): 6-10 years of rich administrative/operational experience in a leading residential school, University (India or global) or in the Edtech sector. About Ashoka University: https://www.ashoka.edu.in About the High School Programs: Ashoka aims to leverage its brand, unique pedagogy, and best practices to build impactful programs for High School Students - both offline and online certificate programs. These include the Young Scholars Program (YSP), Ashoka Horizons, and many others. Ashoka Young Scholars Program (YSP), now in its ninth year, is already the most prestigious summer program for high school students in the country, attracting talented and motivated students to an enriching & immersive college experience, across its 5 programs in liberal arts, sciences, computer science, humanities and economics & entrepreneurship streams. The programme continues to expand at an exponential rate with more high schoolers applying from across the country each year. Ashoka Horizons offers short-term, online, learning by doing (project-based learning), real-world and future-forward programmes to high schoolers across the country and abroad. Ashoka Horizons courses are specially designed for curious & motivated high schoolers, providing a deeper exploration of specific subjects, 21st century skills and other non-academic areas of interest. Ashoka Horizons are better prepared for college decisions, college applications and life beyond. Ashoka Horizons was launched in 2020 and has been growing exponentially since. Roles and Responsibilities: This person is responsible for the end-to-end execution of our rich portfolio of online and offline programs with the objectives of delivering the highest standards of program experience and exceeding student/parent expectations. The role comes with the following responsibilities: Owning the application to enrolment conversion targets and real-time reporting on pipeline numbers, as well as ensuring high parent and student satisfaction scores across all programmes Developing effective processes & rubrics for applicant evaluation & assessment for enrolments. Managing and resolving to satisfaction school, student and parent queries across online and offline platforms- email, WhatsApp, in-person (on campus), mobile, etc. Working collaboratively with the High School Programs Marketing & Program Development teams to ensure successful & timely programme execution Working collaboratively with admissions, student life, operations, facilities, finance, security teams to ensure a seamless student experience pre-programme and on-ground Shortlisting, training and managing a large team of High School Program Counsellors for the summer programs Developing and managing the tech platform for course delivery; training faculty & teaching assistants to ensure course development & delivery Hiring, nurturing and growing a team of program coordinators Qualifications: Past experience (4-8+ years exp, full-time or project-based) in similar roles with a leading Indian or global University, select residential schools or with reputed online/on-premises courses targeted at high school students. Minimum 05 years of experience with premier organisations Preference would be given to graduates of Ashoka/ YIF/ YSP/ Ashoka Horizons Skills Required: Strong operational skills, ability to manage multiple stakeholders & project tracks accurately, on time and of the highest quality. Good communication & interpersonal skills – verbal & written. Target and result-driven individual, with an exceptional attention to detail and a focus on quality. Strong organisational skills and process orientation Excellent Excel, Data Analysis, PowerPoint and Reporting skills Experience & comfort with Edtech platforms (Google Classroom, EdX etc.), learning journeys & work automation modules. Tech product development & management skills would be preferred. Interpersonal skills, ability to collaborate and work effectively across different internal & external stakeholders

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description Management Level Definition: The NPI PCBA Manufacturing Engineer will perform DFM reviews and related NPI manufacturing engineering duties required for new product development with a focus on design-for-manufacturing (DFM) preparations, prototype build evaluation, tooling preparation, and other process preparations/improvements required for the release and volume ramp of highly complex PCBA’s. The NPI mfg. engineer will serve as the primary mfg. engineering representative to NPI teams and will interface/coordinate with mfg. engineering and process experts in remote factory partner sites including both EMS and PCB suppliers. What You'll Do Supports assigned NPI products as key DFM engineer responsible for PCBA manufacturability including compliance with EMS or other DFM guidelines in areas including SMT, BGA repair processes, wave solder, press fit, component package and new part qualification Works with signal integrity teams and PCB suppliers to develop PC board stack-ups Performs DFM reviews of new designs in execution with responsibility for resolving PCBA and PCB manufacturability issues Attends program teams, EMS partner reviews, DFM council or other meetings related to PCBA/PCB DFM issues Uses strong knowledge of interconnect, SMT, solder process/materials and new component packaging as it applies to PCBA manufacturing to improve designs for high yields and ease of assembly In coordination with factory teams, monitors or develops DOE’s to identify and confirm process parameters related to PCBA Manages/leads specific mfg. technology related projects as required in collaboration with outside suppliers and internal subject matter experts Provides guidance/support to quality and sustaining mfg. engineering teams for critical quality or manufacturing problems on assigned products What You Need To Bring BSEE/BSME or higher degree with at least 7-10 years of electronics manufacturing experience Proven track record in supporting new product development teams as an NPI mfg. engineer with responsibility for complex PCBA and/or PCB manufacturability Prefer candidates with both OEM PCBA NPI development and EMS partner factory experience Prefer good/strong knowledge of PCB CAD design and fabrication processes including stack-up analysis and development and understanding of PCB fabrication challenges encountered with complex PCBA’s associated with aspect ratios, padstacks, backdrills, and POFV technologies Requires solid knowledge of interconnect and electronic assembly applications and technologies including soldering, press fit, and rework with knowledge of IPC-A-610. Understanding of complex failure mechanisms in PCBA process and or PCB fabrication and knowledge of standard failure analysis techniques (SEM, EDX, X-section, Die and Pry, CSAM) Demonstrated ability to work independently in a fast-paced growth environment Must have excellent English communications skills, both verbal and written. Excellent problem-solving/analytical skills with strong aptitude for teamwork Willingness to travel including domestic and international travel as necessary (estimated 5-10%) Knowledge And Skills Extensive experience with using engineering tools and software packages to test, design, and evaluate products and manufacturing processes. Excellent analytical and problem solving skills. Conducting reviews of material specifications and hardware and electrical component design and manufacturing processes. Evaluating forms of empirical analysis, modeling and testing methodologies to validate product designs and specifications. Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate manufacturing architectures, plans, proposals, and results, and negotiate options at senior management levels. Additional Skills Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more} What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. Job Engineering Job Level TCP_04 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

About the Role: We are seeking a Data Scientist / Generative AI Developer with a strong foundation in mathematics and advanced data science methodologies, coupled with expertise in Large Language Models (LLMs), Generative AI, and orchestration frameworks like LangChain or CrewAI. This is a key role in shaping cutting-edge machine learning solutions and integrating state-of-the-art AI capabilities, while collaborating across diverse teams. Key Responsibilities: Design, develop, and implement machine learning algorithms and models, including creating specifications, design documents, and prototypes. Build, fine-tune, and deploy solutions leveraging Large Language Models (LLMs) for various use cases. Develop workflows and applications using LangChain, CrewAI, or similar GenAI orchestration frameworks to enable seamless AI integrations. Optimize model performance with advanced tuning techniques, feature engineering, and experimentation with LLMs. Lead brainstorming sessions for system architecture and feature design to ensure scalability and efficiency. Integrate and manage Vector Databases (VectorDBs) such as Pinecone, Weaviate, or similar, to handle embedding-based search and retrieval tasks. Gather and document design requirements by interfacing with key stakeholders and external customers. Collaborate with Engineering, Data Science, Product, UX, Business Development, and Infrastructure teams. Uphold and promote best coding practices, including thorough documentation and peer reviews. Required Qualifications: Master’s degree in Data Science, Mathematics, or a related field. 5+ years of experience in Data Science, Machine Learning, or a similar domain. Expertise in linear algebra, statistics, and probability, with hands-on experience in statistical testing, regression, and deep learning techniques. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or MxNet . Experience with Large Language Models (LLMs) such as GPT-4, BERT, or T5. Proven experience with orchestration frameworks like LangChain, CrewAI , or similar. Strong understanding of Vector Databases (VectorDBs) and embedding-based search. Advanced development experience in Python and libraries like NumPy, Sci-Kit Learn, and Matplotlib. Proven track record of model performance tuning and deploying optimized machine learning models. Preferred Skills: Proficiency in creating scalable machine learning pipelines. Familiarity with industry standards for code optimization and debugging . Education Requirements: Master’s Degree in: Data Science Computer Science Artificial Intelligence Mathematics Machine Learning Statistics Related fields Special Considerations: Certifications or postgraduate diplomas in AI/ML (e.g., from institutions like IIIT-Hyderabad, ISB, or online platforms like Stanford AI, Coursera, edX) could also supplement academic credentials if accompanied by relevant experience. Key Skills: -Experience with LLMs, LangChain/CrewAI, Vector Databases (e.g., Pinecone, Weaviate) . -Data Science, Machine Learning, TensorFlow, PyTorch, Deep Learning -Expertise in Python If you are a highly motivated professional with expertise in data science, a passion for mathematical problem-solving, and a drive to create impactful solutions, we’d love to have you on our team!

Job Title: Assistant Professor – Computer Science (Specialization in Data Science & Cyber Security) Institution: SR Group of Institutions, Jhansi Job Location: Jhansi, Uttar Pradesh Job Summary: SR Group of Institutions, Jhansi is seeking a dynamic and dedicated Assistant Professor in the Department of Computer Science to teach undergraduate and postgraduate courses, particularly in the areas of Data Science and Cyber Security . The candidate should have a strong academic background and a passion for teaching, mentoring, and research. Key Responsibilities: Teach undergraduate/postgraduate courses in Computer Science , specifically Data Science , Cyber Security , and other relevant subjects. Develop and update course materials, lab exercises, and teaching strategies. Supervise student projects, internships, and research work. Engage in academic research and publish in reputed journals/conferences. Participate in departmental activities, curriculum development, and student mentoring. Organize seminars, workshops, and value-added programs related to emerging technologies. Assist in accreditation and administrative responsibilities as assigned. Eligibility Criteria: Educational Qualification: M.Tech/M.E. in Computer Science/Computer Engineering from a recognized university (Mandatory). Candidates with UGC/AICTE-approved qualifications will be given preference. Additional Qualification: Completion of a certification or diploma course in Data Science (e.g., from Coursera, edX, NPTEL, etc.) is highly desirable. Desired Skills & Attributes: In-depth knowledge of Data Science tools , techniques (Python, R, ML/AI frameworks), and Cyber Security fundamentals . Strong teaching and communication skills. Ability to engage and motivate students in an interactive learning environment. Research orientation and publication track record (preferred but not mandatory). Good organizational and teamwork abilities. Salary: As per institutional norms and candidate qualifications. How to Apply: Interested candidates may send their detailed CV and relevant documents to hr@srgi.ac.in with the subject line: Application for Assistant Professor – Computer Science . Job Types: Full-time, Permanent Pay: ₹30,001.12 - ₹55,520.72 per month Schedule: Day shift Work Location: In person

Data Science Manager Responsibilities :Lead and manage data science teams, overseeing the development and deployment of machine learning models and advanced analytics solutions .Define and execute data strategies aligned with business objectives, ensuring actionable insights drive decision-making .Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to identify and solve complex data-related challenges .Ensure data integrity, governance, and security while optimizing data pipelines and infrastructure for scalability .Mentor and develop data scientists, providing technical guidance, performance feedback, and career development support .Stay updated on emerging trends, technologies, and best practices in data science and artificial intelligence (AI) .Communicate findings effectively to both technical and non-technical stakeholders, translating insights into business impact .Key Competencies :Strong problem-solving and analytical thinking skills to interpret complex data and drive insights .Leadership and people management abilities to guide and grow a high-performing data science team .Business acumen to align data science initiatives with organizational goals and drive measurable value .Effective communication skills for conveying technical concepts to diverse audiences .Decision-making capabilities based on data-driven approaches .Technical Skills :Proficiency in programming languages such as Python, R, or SQL .Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn) .Experience with big data technologies (Spark) and cloud platforms (AWS / Azure/ GCP) .Strong understanding of statistical modeling, predictive analytics, and deep learning .Experience with data visualization tools (Quicksight, Power BI, Matplotlib, Seaborn, Streamlit/Dash) .GenAI: Experience with GenAI APIs, LLMs, Vectorization, Agentic AI and prompt engineering for domain-specific solution sMLOps: Ability to build reusable model pipelines and manage deployments using MLflow and Docke rBehavioural Competencies :Adaptability: Ability to pivot strategies based on evolving business needs and technological advancements .Learning Agility: Continuous learning mindset to keep up with emerging data science trends and methodologies .Teamwork: Collaborative approach to working with cross-functional teams, fostering knowledge sharing and innovation .Certifications (Optional) :Certified Data Scientist (CDS) – DASC AAWS Certified Machine Learning – Specialt yMicrosoft Certified: Azure AI Engineer Associat eCoursera/edX Data Science Specializations (e.g., IBM, Stanford, Harvard) Data Engineering Certification

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just create products - they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple products are as beautiful on the inside as they are on the outside. Inside every one of our products, are some of the world's most challenging consumer PCBA and Flex designs. Imagine yourself as a select member of the team that brings these assemblies from concept to high volume manufacturing. Description - In this highly visible role, you will have the opportunity to make a significant impact on Apple Products, and leave a footprint for years to come. We have an opportunity for an accomplished PCBA DFM engineer to lead the development, and ramp for a next generation Apple product. - Our PCBA DFM engineering team enables the mass creation of impossible products as a partner in the development of Apple's renowned designs. - Key responsibilities will include: - Attend development builds as required under direction of Operations Engineering Directly Responsible Individual (DRI). - May provide guidance and resources to contract manufacturing (CM) partner engineers. - Acts as project leader on a variety of complex projects. - Plans, develops and implements technically complex procedures for PCBA manufacturing process, rework, and testing. - Make recommendations for changes required in testing equipment (ICT and Functional test), manufacturing processes, and new testing requirements. - Designs and develops technically complex new processes to improve quality and efficiency. - Provides early manufacturing involvement to ensure new products are manufacturable. Activities include driving out costs in design/PCBA manufacturing tooling, influencing designs so that they are manufacturable, reducing complexity by using standard size packaging. - Interface with Apple Printed Circuit Board Assembly (PCBA) Subcontractor and manage technical aspects of Volume Manufacturing builds including rework processes, with direction as necessary from Operations Engineering DRI. - Ensure Apple PCBA Subcontractors/JDM partner adherence to Process Parameters and Procedures as well as approved Manufacturing and Test processes. Ensure maintenance of specified quality levels at PCBA Manufacturing sites - Travel domestically and internationally to supplier sites - 30% Minimum Qualifications BS/MS in Mechanical, Electrical, Industrial, Chemical or Manufacturing Engineering with 5 to 6 years experience working in Printed circuit board assembly or with surface mount technology at a contract manufacturer or any related experience. 5+ years of experience in printed circuit assembly manufacturing processes. Surface mount technology process knowledge including stencil printing, pick and placement process, reflow process, hotbar, robotic/laser soldering and ACF process. Experience developing process quality plans, supplier quality audits, and driving corrective actions and failure analysis efforts. Preferred Qualifications Working knowledge of printed circuit board assembly (PCBA) reliability concepts, failure analysis techniques like EDX, SEM and FTIR. Experience with the development and evaluation of various SMT processes Project management experience and a deep understanding of problem solving tools including design of experiments, root cause analysis and statistical analytical tools Experience with any of the following: packaging technology, chip scale or wafer level chip scale packaging technology, molding process, System in package construction Effective communication skills with an ability to explain complex problems to a wide variety of technical and non-technical audiences Good team player with an ability to work with multiple x-functional teams Education & Experience Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount - both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programmes vary by country and are subject to eligibility requirements. Submit CV

Qualification B.Tech or B.E, B.C.A prior to M.C.A Requirements We are looking for a Python Developer to join our engineering team and help us develop and maintain various software products. Experience in customizing LMS and CMS components in Open edX. Familiarity with frontend technologies like HTML5, CSS, JavaScript, React (preferred). Hands-on experience with MySQL/MongoDB, NGINX, Ubuntu/Linux servers. Experience in RESTful API development and third-party integrations. Familiarity with containerization (Docker), Git, and DevOps practices. Ability to troubleshoot platform issues and deploy patches and updates. Proficiency in building RESTful APIs using Django REST Framework. Strong understanding of Django ORM, class-based views, middleware, and signals. Knowledge of SCORM/xAPI, LTI, and SSO (OAuth, SAML). Contributions to the Open edX community (GitHub, forums) are a plus.

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person