71238 Learning Jobs - Page 20

Job Role: Robotics Training Industry Type: Education / Training Employment Type: Full Time, Permanent Education UG: Engineering ( any stream ) Job Summary: We are looking for a dynamic and enthusiastic Robotics Trainer to conduct robotics and STEM classes in schools. The trainer will engage students with interactive, hands-on sessions using robotics kits and basic programming tools to build problem-solving and critical thinking skills. Key Responsibilities:  Conduct regular robotics classes for school students (Grades 5–10 or as specified).  Deliver lessons using STEM and robotics kits such as Arduino, IOT or similar platforms.  Assist students in building and programming basic robots.  Prepare lesson plans, class activities, and projects in line with curriculum guidelines.  Organize and support school-level robotics competitions and exhibitions.  Maintain classroom discipline and a positive learning environment.  Handle and maintain robotics kits and related equipment responsibly. Requirements:  Good communication and classroom management skills (communication is a must).  Passion for teaching and working with children.  Willingness to travel to school locations. Language:  English (Preferred) TRAINING WILL BE GIVEN BY THE COMPANY” FRESHER CAN JOIN Interested candidates drop a mail @ kiishr07@gmail.com Job Types: Full-time, Part-time, Permanent Pay: ₹15,000.00 - ₹22,000.00 per month Benefits: Health insurance Provident Fund Schedule: Fixed shift Work Location: In person Expected Start Date: 23/06/2025

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 22nd June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Education Counselor, you will play a crucial role in assisting students and their families in navigating the complexities of higher education options abroad. Your primary responsibility will be to provide accurate and up-to-date information about universities, programs, admission requirements, and the application process. You will guide students towards making informed decisions about their academic and career paths while ensuring their smooth transition to foreign educational institutions. Student Guidance: Assist students in identifying their educational goals, interests, and strengths, and recommend suitable universities and programs that align with their aspirations. Admission Process: Provide detailed information about admission requirements, application deadlines, standardized tests (such as SAT, ACT, TOEFL, IELTS), and necessary documentation for various universities. Application Assistance: Aid students in completing application forms, essays, personal statements, and letters of recommendation, ensuring accuracy and adherence to university guidelines. Financial Aid: Offer guidance on scholarships, grants, and financial aid options available to international students, including information on application procedures and deadlines. Visa and Pre-departure Support: Advise students on the visa application process, required documentation, and interview preparation. Offer pre-departure briefings to help students transition smoothly to life in abroad. Calling Leads: Initiate and respond to calls from potential students, addressing their inquiries about abroad education, admission processes, and program details. Maintain a friendly and professional demeanor to establish rapport and build trust. Maintain Knowledge: Stay updated on the latest trends, policies, and developments in the a broad education system, ensuring accurate and relevant guidance to students. Relationship Building: Develop and maintain positive relationships with educational institutions, admissions officers, and relevant stakeholders to enhance collaboration and provide accurate information to students. Record Keeping: Maintain detailed records of student interactions, applications, and outcomes for reporting and future reference. Communication: Effectively communicate via various mediums, including in-person meetings, phone calls, emails, and virtual sessions, to provide timely assistance to students. Continuous Learning: Participate in training sessions, workshops, and professional development opportunities to enhance your knowledge of higher education trends and counseling techniques. Job Type: Full-time Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Schedule: Day shift Work Location: In person

Edify World School Anantapur, Andhra Pradesh is hiring Pre-Primary Teacher with 1-4 years experience in CBSE / Cambridge curriculum. As a Pre-Primary Teacher, you will be responsible for providing a nurturing and stimulating educational environment for young children, typically ages 3 to 5. Your role involves planning and implementing age-appropriate activities, fostering social, emotional, cognitive, and physical development, and preparing children for the transition to primary school. Key Responsibilities: Curriculum Development: Develop and implement a developmentally appropriate curriculum that aligns with early childhood education standards and learning objectives. Instruction and Delivery: Create a safe, nurturing, and inclusive classroom environment that encourages exploration, curiosity, and positive interactions. Child Assessment: Observe and assess children’s progress and development through various assessment methods, including observations, checklists, and portfolios. Classroom Management: Establish and maintain a positive and structured classroom environment with clear routines and expectations. Parent and Community Engagement: Communicate regularly with parents and caregivers to keep them informed about their child's progress, classroom activities, and upcoming events. Professional Development: Stay informed about current trends, best practices, and research in early childhood education and child development. Qualifications: Bachelor’s degree in Early Childhood Education, Child Development, or a related field. Teaching certification or licensure in early childhood education, if required by the region or educational institution. Accommodation will be provided for outside candidates. Job Type: Full-time Pay: ₹15,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person

Customer Services Manager Total Compensation including salary, bonus, commission & benefits: 3.4L - 4.7L per year This position sits at the heart of our growing global organisation, you will be responsible for all aspects of your centre’s performance. We’ll give you the autonomy and resource to manage your centre as though it’s your own business. You will have a wide range of responsibilities including: Being responsible for managing anything and everything on site. Rising to every challenge and solving problems. Giving tours to prospective customers. Upselling to existing customers. Above all, looking after our customers so well that each becomes a brand ambassador – for you, your team and IWG. What we can do for you You’re reading the right advert if you’re looking for: a fun, challenging and rewarding career. great induction training and excellent ongoing learning and development. fantastic promotion prospects. generous, achievable quarterly/commission incentives and sociable hours. access to a comprehensive range of flexible, personalised workplace benefits that support mental, physical and financial wellbeing. About you Ideally, you’ll have some experience of delivering against targets when leading a small, close-knit team. You may have run a flexible workspace centre before, or else a store, restaurant or any site with a high degree of customer focus. Alongside your natural sales and commercial skills, what matters most is that you’ve got the right mindset: passion, drive, ownership and resilience. Passion : looking after our diverse prospects, customers and guests is at the heart of what we do, so you must bring your passion and positivity to work every day. Drive : your own and your team’s collective drive for success means you’ll only relax once you’ve delivered the results you’re looking for. Resilience : a relentless focus on business priorities, regardless of the obstacles placed in front of you. Above all, you’ll be key to ensuring all our customers only ever receive a truly world-class service. And your sense of ownership means you’ll continuously ensure the quality of service and the workspace are as good as they possibly can be. About IWG With 3,400 tech-enabled, sustainable and inspiring centres across the world, we’re already four times the scale of our nearest competitor – and we’re continuing to grow. With 80% of the Fortune 500 already among our customers, and plans to expand to 30,000+ centres over the next decade, we’re uniquely placed to offer the right person exciting career opportunities as we continue pioneering the workspaces of tomorrow. We’re also proud of reducing commuting-related carbon emissions by getting workers out of their cars and onto their bikes and their feet. Alongside our investments in advanced buildings, this supports our commitment to be carbon neutral – which we achieved in 2023. We know we can only succeed if we give all our people every opportunity to shine. That’s why so many of our most senior leaders started their careers in our centres. So don’t hesitate. Apply today – and let’s work together to help millions of people have a great day at work.

Job Title: Kindergarten Teacher Location: IMEMRY SCHOOL, Nellore. Job Type: Full-time About Us: IMEMRY SCHOOL provides a nurturing environment where young children can grow and learn. We focus on helping students develop emotionally, socially, and academically in a fun and supportive setting. Job Summary: We are looking for a caring and creative Kindergarten Teacher to join our team. You will help young children learn through fun activities, encouraging their growth in a safe and positive classroom. Key Responsibilities: Teach & Plan: Prepare and teach lessons that support early learning in subjects like reading, math, and social skills. Use hands-on activities and play to keep students engaged. Classroom Management: Create a safe and welcoming classroom. Set clear rules for behavior and maintain a calm, focused environment. Monitor Progress: Observe and track each child’s development. Share regular updates with parents about their child’s progress. Work Together: Collaborate with other teachers and staff to improve learning experiences. Attend meetings and professional development sessions. Support Social Skills: Help children develop positive relationships with their classmates. Teach conflict resolution and emotional regulation. Qualifications: Bachelor’s degree in Early Childhood Education or a related field. Teaching certification (preferred). Experience with young children is a plus. Great communication and organization skills. Passionate about working with young children. Benefits: Friendly environment. Teacher training. Professional growth opportunities. Job Type: Full-time Pay: ₹15,000.00 - ₹22,000.00 per month Schedule: Fixed shift Experience: total work: 1 year (Preferred) Location: Nellore, Andhra Pradesh (Preferred) Work Location: In person Application Deadline: 28/06/2025 Expected Start Date: 20/06/2025

Job description:-- WE ARE HIRING PHYSICS FACULTY (IIT/JEE/NEET) FOR CBSE AFFILIATED RESIDENTIAL SCHOOL LOOKING FOR IMMEDIATE JOINER. Roles and Responsibilities:-- Understanding the curriculum and developing schedules, lesson plans, and teaching methods that will help students cover the required content. Preparing and delivering lessons that are stimulating and clear. Educating students on lab safety and ensuring all experiments are carried out responsibly. Setting up tests, assignments, experiments, and grading students fairly. Ensuring appropriate resources and consultation times are available to students. Mentoring and providing support to student teachers. Attending staff and parent meetings, conferences, workshops, and other continuing education programs. Informing and preparing students for science fairs and expos. Handling various administration functions, which include updating student records and keeping track of lab supplies, tools, and equipment. Ensuring a safe, healthy classroom environment where learning can take place. Desired Skill:-- Degree in Physics or a related discipline + Master in Physics + B.Ed Relevant certification may be required. A completed apprenticeship would be advantageous. Knowledge of teaching styles recommended. Excellent interpersonal, as well as written and verbal communication skills. Sound knowledge of health and safety regulations. Ability to inspire and motivate students. Strong multitasking skills. Job Types: Full-time, Permanent Benefits: Food provided Schedule: Morning shift Application Question(s): Can you join on immediate basis? Are you ready to relocate to Chhattisgarh. Education: Master's (Preferred) Experience: PGT Physics Teaching: 2 years (Preferred) Language: English (Preferred) Work Location: On the road

Job Description: Makeup Trainer Location: Bettiah, Bihar Are you a passionate and skilled makeup artist with a flair for teaching? Lakmé Academy Bettiah is looking for a dynamic and experienced Makeup Trainer to join our team! If you have a deep understanding of makeup artistry, excellent communication skills, and a desire to shape the next generation of beauty professionals, we want to hear from you. About Lakmé Academy Bettiah: Lakmé Academy is a premier institution in beauty education, committed to providing top-notch training in makeup, hairstyling, skincare, and nail art. As a franchisee in Bettiah, we uphold the high standards and curriculum set by Lakmé, offering our students the best in industry-relevant skills and knowledge. Key Responsibilities: Deliver comprehensive and engaging makeup artistry training to students, covering all aspects from basic techniques to advanced applications. Develop and update lesson plans, training materials, and practical exercises in line with the Lakmé Academy curriculum. Provide hands-on demonstrations and supervise students during practical sessions, offering constructive feedback and guidance. Assess student progress, conduct evaluations, and maintain accurate records of their performance. Stay updated with the latest makeup trends, techniques, and products in the beauty industry. Mentor and motivate students, fostering a positive and encouraging learning environment. Ensure the training area is clean, organized, and well-stocked with necessary products and tools. Participate in academy events, workshops, and promotional activities as required. Qualifications and Skills: Proven experience as a professional makeup artist with a strong portfolio. In-depth knowledge of various makeup techniques, skin types, color theory, and product knowledge. Excellent communication, presentation, and interpersonal skills. Ability to inspire and motivate students of diverse backgrounds and skill levels. Strong organizational and time management skills. Certification or diploma in makeup artistry from a recognized institution is preferred. Fluency in Hindi and English is required. Why Join Lakmé Academy Bettiah? Be a part of a globally recognized and respected brand in beauty education. Opportunity to shape aspiring makeup artists' careers. Supportive and professional work environment. Continuous learning and development opportunities. To Apply: If you are a dedicated makeup professional eager to share your expertise, please submit your resume and a cover letter detailing your relevant experience to us. Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Flexible schedule Paid sick time Schedule: Day shift Application Question(s): Do you have any degree in cosmetology? Work Location: In person

We are searching for an energetic social studies teacher to join our faculty. The social studies teacher’s responsibilities include teaching elements of history, geography, politics, economics, religion, and culture to pupils. You should keep abreast of current events and initiate spirited, respectful debates amongst students. You will also be required to set and grade various assessments. To be successful as a social studies teacher, you should demonstrate passion and commitment to your discipline. Outstanding candidates are able to multitask, source appropriate learning material, and also present their opinion to the class without making any student feel threatened for holding a different view. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Supplemental Pay: Performance bonus Work Location: In person

PRT TEACHER A PRT teacher is a primary teacher with a variety of skills for teaching students from grades one to five. Their responsibilities include preparing lessons for young students, performing administrative duties and meeting with parents or guardians regularly. They are also responsible for keeping the school principal, coordinators and parents informed about the progress of the students. RESPONSIBILITIES Develop interactive and creative course material Conduct learning sessions and classes Assign assignments for homework and assess submissions Record student attendance, grades and performance Supervise students to ensure their well-being and safety Report progress and challenges to parents or guardians Organize co-curricular events in the school Perform the duties of a class teacher Required skills and qualifications: Graduate with D.El.Ed Minimum of one year of teaching experience Understanding of the central and state board curriculum Mandatory training and communication skills Personality that is warm and friendly Planning and organizational skills Passion for educating young students Job type: Full time Salary: ₹20,000 to ₹24,000 per month Location : S.K Puri, Boring Road, Patna Languages : English, Hindi Job Type: Full-time Pay: ₹20,000.00 - ₹24,000.00 per month Schedule: Day shift Application Question(s): Should have Graduate with D.EL.ED Work Location: In person

Key Responsibilities: Teach mathematics according to the prescribed curriculum and grade level. Prepare daily lesson plans, worksheets, and assessments. Encourage problem-solving, logical reasoning, and critical thinking. Create a positive learning environment that promotes student participation. Use real-life examples and visual aids to enhance conceptual understanding. Conduct regular tests and provide feedback to students and parents. Maintain discipline and classroom decorum. Collaborate with other subject teachers and participate in school activities. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Food provided Schedule: Fixed shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Nawada, Bihar: Reliably commute or planning to relocate before starting work (Preferred) Experience: teaching : 2 years (Preferred) Language: English (Preferred) Work Location: In person

KONE employs over 60,000 driven professionals in over 60 countries worldwide joined together by a shared vision. As a global leader in the elevator and escalator industry, it is our mission to improve the flow of urban life. What will you be doing ? Customer Relationship Management Responsible for customer satisfaction through quality of service and through regular, proactive, and precise on-site communication (callout ETA, job performed, etc) Responsible for accurate and real time back reporting of work performed (at the equipment level) in order to ensure the accuracy of e-Optimum and Customer Notification. Accountable for maintaining excellent relationships with the customers, the contact person and end-users presents on site, by applying the Ambassador attitude. Accountable for equipment safety and performance Accountable for managing the site environment during service operations Accountable for identifying site risk, and communicate them to his supervisor Accountable to take immediate action on site in case of high risk identification and to apply the escalation procedure Accountable for identifying “unplanned” service repairs based on the equipment needs, contacting the on-site contact person, get his approval if not covered by the contract, and perform them Service Operations Accountable for the end-users and the site safety Accountable for the safe working environment Responsible for safe working practices and carrying out the operations according to maintenance instructions and safety instructions. Accountable for the execution of the service visits (planned maintenance, callouts and service repairs) respecting the schedule and time limit (callout), the quality standards, the time allocation and the processes Responsible for effectively planning his workload, in conjunction with the service supervisor Accountable for raising sales lead to his supervisor Accountable for very precise and timely back reporting of the work done according to the process Responsible for submitting time sheets based on the execution Responsible for managing his proximity stock (shelving, inventory, stock transfer, etc), identifying the spare need, requesting the spare to his supervisor. Responsible for keeping the service tooling, van, instruments, etc safe, maintained and in good condition Contributes to the ongoing improvement of the products, the methods and the safety by feedback to the PCM organisation and his supervisor Leadership / People Management Responsible for regular update of his supervisor on all relevant information Responsible for being familiar with all aspects of lift and associated technology and accountable for attending the proposed training May be required to give training/coaching to persons nominated by the supervisor What do we offer ? Career progression and opportunities within a global organization Total reward elements that engage and motivate our employees and help us make KONE a great place to work Comprehensive learning and development programs covering a wide range of professional skills You are surrounded by fun colleagues and a lively working environment within Business Services team and KONE Front Line. The best part is all leaders are great and open-minded Click on apply if you have a passion for meeting up with people and a desire to make an impact in the elevator and escalator industry. At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life. Read more on www.kone.com/careers

Solution: Microsoft Dynamics NAV/ Business Central Location: Ahmedabad Availability: Onsite DESCRIPTION For our team, we are now conducting interviews for a Technical Consultant. You will be learning new technologies and new methods of working as a Technical Consultant, and you will be interacting with a variety of clients from the minute you start. Working on parallel projects with other skilled developers and technical leads will be an option. PRIMARY SKILLSET ● Bachelor’s degree in computer science/IT. ● Should have a consulting approach for development, training, implementation, or supporting customers. ● Should have an idea about process cycle. 2-4 years of experience as a Technical Consultant in a related industry. ● Strong understanding of C/AL programming. ● Understanding of Microsoft dynamics 365 environment topology and application architecture. ● Team player with Strong Communication skills and customer focus. RESPONSIBILITIES ● Provides technical input in creating functional specifications when customizations or extensions to Microsoft Dynamics solutions are needed. ● Understand customers needs and collaborate with other consultants and support teams to complete design and testing documentation. ● Responsible for the design of Technical Design Document Provides work estimates that permit prioritisation and assignments to be made. ● Ready to continuously invest time to keep up to date with the latest technologies.

Ingersoll Rand is committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Job Title Senior Engineer- Rotary Air End Design Location: Ahmedabad Job Summary (Senior Engineer- Rotary Air End Design) This position will be a strong individual contributor responsible for design & development of rotary screw compression subsystem. Responsibilities Responsible for mechanical design of rotary compression module involving rotor, casing and bearings for specific pressure & flow requirements. Responsible for developing analytical tools for rotor profile design, scalability & performance prediction aligning with latest technological trends. Responsible for verifying the subsystem design for performance & reliability using analytical methods like FEA & CFD in static & dynamic conditions. Responsible for release of drawings and BOM for new design in ERP system. Provide Engineering support to manufacturing of compression modules. Ensure performance, quality, and reliability are maintained throughout the design cycle. Ensure accuracy and completeness of engineering design, documentation, and bill of material for the design. Support product transfers and regional New Product Development. Investigate and execute engineering change (or product improvement) requests, non-conforming material reports and supplier deviation change requests. Develop and maintain good working relationships with team members within engineering and from other departments. Provide input on continuous improvement opportunities for design processes as well as products. Drive technological innovation in the field of air/gas compression. Qualifications BE in Mechanical Engineering with excellent academics and minimum of 8-10 years of experience in product design and development of rotary screw compression module. Key Competencies Solid background in design and manufacturing principles, with experience in rotary screw compression module design. Proficiency in mathematical tools, FEA & CFD analytical tools must. Plant or manufacturing operation experience preferred. Experience with quality and reliability processes, supplier qualification, and part approval requirements. Ability to navigate projects or opportunities with limited definition and provide business and technical feedback on their merit. Strong verbal and written communication skills and the ability to work well in a team environment. Ability to communicate effectively to peers and groups and break down complex analysis into a format that can be understood by non-technical audience. Knowledge of designing air compressor, drafting and computer aided design, applies knowledge to assigned tasks; or knowledge in product definition, product configuration, and bills of materials. Good understanding of product configuration and product applications are a plus. Proficiency in tolerance stack up and in design calculations is preferred Basic proficiency in 3-D modeling and drafting required. Proficiency with Creo & Ansys What We Offer We are all owners of the company! Stock options(Employee Ownership Program) that align your interests with the company's success. Yearly performance-based bonus, rewarding your hard work and dedication. Leave Encashments Maternity/Paternity Leaves Employee Health covered under Medical, Group Term Life & Accident Insurance Employee Assistance Program Employee development with LinkedIn Learning Employee recognition via Awardco Collaborative, multicultural work environment with a team of dedicated professionals, fostering innovation and teamwork. Ingersoll Rand Inc. (NYSE:IR), driven by an entrepreneurial spirit and ownership mindset, is dedicated to helping make life better for our employees, customers and communities. Customers lean on us for our technology-driven excellence in mission-critical flow creation and industrial solutions across 40+ respected brands where our products and services excel in the most complex and harsh conditions. Our employees develop customers for life through their daily commitment to expertise, productivity and efficiency. For more information, visit www.IRCO.com.

As our Digital Marketing Manager, you will be at the forefront of our digital marketing efforts, responsible for developing, implementing, and optimizing strategies that drive customer acquisition, engagement, and retention. You will work closely with cross-functional teams to ensure our marketing campaigns align with business objectives and deliver measurable results. Key Responsibilities Develop and execute comprehensive digital marketing strategies across paid social (Meta), search (Google), and affiliate networks to drive customer acquisition and revenue growth Manage and optimize email marketing campaigns to improve lead conversions and cross-sell/upsell opportunities Collaborate with partners to strategically acquire and manage inbound calls and warm transfers Work closely with the analytics team to develop and refine data-driven insights for campaign management and performance auditing Establish and oversee a robust quality assurance process for lead generation across various affiliate partners Create and manage performance reports to track KPIs and ROI across all digital marketing channels Stay abreast of industry trends and best practices to continuously improve our digital marketing efforts Qualifications 5+ years of experience in Digital Marketing, with a strong focus on performance marketing, social media management, and partner relations Proven track record in managing and optimizing Facebook ads and affiliate partnerships (email, co-registration, etc.) Excellent communication skills, both written and verbal, with experience interacting with US-based customers and partners Demonstrated ability to build and maintain strong vendor relationships, particularly with affiliate partners Proficiency in using design tools for creating marketing collateral, coupled with experience in managing freelance designers for more complex creative needs Strong analytical skills and business acumen, with the ability to interpret data and translate insights into actionable strategies Problem-solving aptitude with a data-driven approach to decision-making Ability to work independently and collaboratively in a fast-paced, remote environment Flexibility to work in US time zones as needed to address partner queries promptly Additional Requirements Remote position: Must have a reliable high-speed internet connection (multiple providers preferred) and power backup Willingness to be an individual contributor (IC) and take ownership of specific marketing channels or business verticals What We Offer Opportunity to make a significant impact in a growing company Remote work flexibility Competitive salary and benefits package Continuous learning and professional development opportunities Collaborative and innovative work environment

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 21st June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 21st June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions

We are looking for Data Analytics trainees for our upcoming traineeship program. Data Analytics Trainee Responsibilities: Week 1 & 2: Training Modules – Candidates will be completing the learning modules assigned. Week 3: Live Project – Candidates will be working on the live project assigned to them by the company. Week 4: Project Report – Candidates will be preparing a project report and submit. Data Analytics Trainee Requirements: Bachelor’s degree or pursuing. Proficiency with computers, especially MS Office. High level of accountability and motivation. Strong Interpersonal, time and project management, presentation, leadership, and communication skills. Creativity and ability to delegate responsibilities. Receptiveness to feedback and adaptability. Willingness to meet deadlines.

About Packt Packt is a leading publisher of technical learning content with the ability to publish books on new and emerging tech faster than any other publisher in the world. We believe that software has a deep impact on the world, and that software runs on knowledge. Our mission is to increase the shared value of deep tech knowledge. We are tech content engineers and we work with some of the most interesting technical minds and ground-breaking creators on the planet. For more details, see www.packt.com Overview As Growth Lead, your primary objective will be driving product growth and visibility within communities through developer relations (DevRel) marketing and targeted direct marketing initiatives. Reporting directly to the Portfolio Director, you'll leverage strategic outreach to secure product visibility, endorsements, and drive measurable user acquisition and engagement. Responsibilities & Expected Outcomes AI-First Growth Strategy: Develop and implement AI-native approaches to growth marketing, including leveraging AI tools for content creation, audience targeting, and personalization at scale. Expected Outcome: More efficient, high-impact campaigns driven by AI. Product Marketing Strategy: Own and execute product marketing strategy including market positioning, go-to-market planning, and product messaging frameworks. Collaborate with squads to ensure market-driven product development and launch strategies. Expected Outcome: Stronger product-market fit and faster post-launch sales. Community Outreach & Relationship Building: Engage actively with communities, forums, and influencers to increase awareness, trust, and credibility of our books and resources. Expected outcome: Demonstrable growth in community presence and interactions. Amazon Reviews & Ratings: Initiate and manage campaigns to secure consistent, positive Amazon reviews and ratings from influential professionals and users. Expected outcome: Increased product ratings, leading to improved Amazon discoverability and sales. Expert Endorsements: Cultivate relationships with influencers and experts to secure authoritative endorsements. Expected outcome: Regular flow of testimonials and endorsements used effectively in marketing materials. Email Marketing & List Growth: Execute email marketing campaigns targeted at audiences to drive user engagement and direct sales. Expected outcome: Steady growth in subscriber list size and measurable improvement in campaign-driven conversions. Drive vertical growth revenue: Plan and execute targeted Amazon discount campaigns to boost visibility, traffic, and conversions across key titles. Analyze campaign performance to identify scalable tactics, optimize conversion strategies, and inform future product and marketing decisions. Expected Outcome: Revenue growth from key titles, with improved ROI from discount campaigns. Website Conversion Optimization: Monitor, analyze, and optimize landing pages and product pages specific to maximize visitor conversion rates. Expected outcome: Increased conversion rates from site visitors to customers. Team Structure Reports directly to the Portfolio Director. Collaborates closely with product management functions and content teams. Qualifications Proven track record (2+ years) in growth or devrel marketing, ideally within tech publishing. Expertise in influencer outreach and acquisition, Amazon marketing strategies, and community engagement. Strong analytical skills with experience optimizing email campaigns and onsite conversion. Exceptional communication and relationship-building skills, particularly within technical communities. The Growth Lead role offers significant autonomy to directly influence the growth trajectory of the vertical through strategic outreach and precise marketing execution. Why work at Packt? We recognize how important our people are and acknowledge and support the things that are important to them. We focus on the full team member's experience. We aim to create a positive working environment that supports personal and collective development – where our people can not only grow their skill sets, continuously challenge themselves, and develop their careers, but also work together as a team and with our customers. We try to achieve this by: Ensuring a positive working environment for all team members, supportive of flexible and remote work. Supporting individual development through growth opportunities and internal mobility. Encouraging social collaboration within teams and communities and knowledge-sharing. Fostering a culture that supports a healthy work-life balance. We seek to achieve this by: Providing a broad range of benefits and initiatives. Advocating a healthy lifestyle where wellbeing is seen as an essential responsibility. Celebrating success stories and encouraging peer-to-peer recognition. Fostering a culture of self-development. Providing a work environment where the best idea wins, and challenge is encouraged. Benefits You will also have access to a range of flexible benefits that are designed to help you make the most of your time with us. Bonus scheme 25 days’ holiday (plus bank holidays) Flexible hours: choose how, when and where you work Disclaimer: Packt does not authorize any third-party consultancies, influencers, or agencies to offer employment opportunities on our behalf. We are not involved in any financial transactions with these parties. Our hiring process is managed internally, and all applications should be made through the official procedures outlined in our job listings.

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 22nd June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 22nd June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 22nd June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 22nd June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Frontend Development Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Performance-Based) About INLIGHN TECH INLIGHN TECH is a fast-growing edtech company committed to providing hands-on, real-world learning experiences through virtual internships. Our Frontend Development Internship is designed to help students and freshers build in-demand web development skills by working on live projects. 🚀 Internship Overview As a Frontend Development Intern, you will build user-friendly and responsive web interfaces. This internship will give you the opportunity to work on real-time applications, collaborate with cross-functional teams, and enhance your understanding of modern web technologies. 🔧 Key Responsibilities Develop responsive and interactive user interfaces using HTML, CSS, and JavaScript Use frameworks like React.js, Vue.js, or Angular to build modular frontend components Convert UI/UX designs into functional web pages Ensure cross-browser compatibility and mobile responsiveness Optimize performance and loading speed of web pages Debug and fix frontend issues during development and after deployment Collaborate with designers, backend developers, and mentors in an Agile workflow ✅ Qualifications Currently pursuing or recently completed a degree in Computer Science, IT, or a related field Solid understanding of HTML5, CSS3, and JavaScript Familiarity with frontend libraries/frameworks like React, Vue, or Angular Knowledge of Git, REST APIs, and basic debugging tools Creative problem-solver with attention to detail and a passion for UI/UX Ability to learn quickly and adapt to new technologies 🎓 What You’ll Gain Practical experience with real-world web development projects Exposure to modern development tools and workflows A project portfolio to showcase your frontend skills Internship Certificate upon completion Letter of Recommendation for top-performing interns Opportunity for a Full-Time Role based on performance

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 21st June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Software Developers collaborate with Business and Quality Analysts, Designers, Project Managers and more to design software solutions that will create meaningful change for our clients. They listen thoughtfully to understand the context of a business problem and write clean and iterative code to deliver a powerful end result. By balancing strong opinions with a willingness to find the right answer, Software Developers bring integrity to technology, ensuring all voices are heard. At Thoughtworks, we believe in going above and beyond the standard and are committed to delivering best-in-class solutions that exceed our clients' expectations. Our standard engineering and delivery practices reflect our commitment to quality, and our team is always looking to innovate and improve. Job responsibilities You will learn and adopt best practices like writing clean and reusable code using TDD, pair programming and design patterns You will use continuous delivery practices as needed to deliver high-quality software and value to end customers You will work in collaborative, value-driven teams to build innovative customer experiences for our clients You will collaborate with a variety of teammates to build features, design concepts and interactive prototypes and ensure best practices and UX specifications are embedded along the way You will partner with other technologists from cross-functional teams advocating and demonstrating DevOps culture You will take ownership and accountability beyond individual deliverables, always pushing the envelope in order to deliver awesome results for our clients You will learn, digest and subsequently apply the latest technology thinking from our Technology Radar to solve client problems Job Qualifications Technical Skills You have two or more years* of experience You have experience using one or more development languages (Java, Kotlin, JavaScript, TypeScript, Ruby, C#, etc.) with experience in Object-Oriented programming You can write clean, high-quality code in a variety of languages and are also able to spot (and improve) bad code You are familiar with Agile, Lean and/or Continuous Delivery You have a good awareness of TDD, continuous integration and continuous delivery approaches/tools Bonus points if you have knowledge of cloud technology such as AWS, Docker or Kubernetes Professional Skills You thrive in a collaborative, non-hierarchical environment that values transparency, openness, feedback and change You have a passion for learning and sharing knowledge as well as a desire to create the right solutions for business problems You’re resilient in ambiguous situations and can approach challenges from multiple perspectives For candidates with less than two years of experience, please visit the Grads and career changers page on our careers site. Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. Onsite Work Expectation You may be expected to work out of our Thoughtworks office or at our client's office location for all five working days of the week, depending on business or clients’ needs. About Thoughtworks Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world. Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.