
Company Description
I Vision Infotech is a full-fledged IT company based in Ahmedabad, India, delivering high-quality, cost-effective web and e-commerce solutions to both domestic and international clients. Established in 2011, I Vision Infotech has a strong presence in India, USA, Malaysia, Australia, Canada, and the United Kingdom, offering a wide range of web design, development, e-commerce, and mobile app services, specializing in Android, iOS, Windows, and Blackberry platforms.
Job Description:
We are looking for a dedicated and enthusiastic fresher to join our HR team. The candidate will assist in various HR functions such as recruitment, onboarding, employee engagement, and daily administrative activities.
Key Responsibilities:
- Assist in end-to-end recruitment process (job posting, screening, scheduling interviews)
- Maintain and update employee records
- Coordinate new joiner onboarding and exit formalities
- Handle attendance, leave, and payroll-related data
- Assist the HR team with day-to-day tasks and documentation
Required Skills:
- Excellent communication and interpersonal skills
- Good knowledge of MS Office (Excel, Word, PowerPoint)
- Positive attitude and willingness to learn
- Time management and organizational skills
Perks:
- Opportunity to work in a growing tech company
- Friendly and learning work environment
Note:
Only freshers or recently graduated students can apply. Experienced candidates will not be considered.

About I Vision infotech
About
I Vision is a full-fledged IT company based in India, offering high-quality web, e-commerce, and mobile app solutions to domestic and international clients since 2011. Specializing in web design, development, and mobile app services for Android, IOS, Windows, and blackberry platforms.
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About Wissen Technology:
Website : www.wissen.com
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We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.
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🚀 We Are Hiring: Data Engineer | 4+ Years Experience 🚀
Job description
🔍 Job Title: Data Engineer
📍 Location: Ahmedabad
🚀 Work Mode: On-Site Opportunity
📅 Experience: 4+ Years
🕒 Employment Type: Full-Time
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Some articles about Turing:
- https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
- https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
- https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
- https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.
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Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us.
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A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job.
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This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&hl=en">Google Scholar profile.
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- Enhance our existing machine learning systems using your core coding skills and ML knowledge.
- Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
- Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
- Design features and builds large scale recommendation systems to improve targeting and engagement.
- Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.
Minimum Requirements:
- BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
- Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
- Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
- 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
- Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
- Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
- Good understanding of mathematical foundations of machine learning algorithms.
- Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).
Other Nice-to-have Requirements:
- First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals.
- Strong performance in Kaggle competitions.
- 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
- Strong communication skills.
- Experienced in leading large-scale multi-engineering projects.
- Flexible, and a positive team player with outstanding interpersonal skills.
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- Provide technical leadership to the team
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