System Programmer

Role- Admin Executive

Location- Pune

Working Days- 6 Days Full Time Work from Office

About : Organization is a premier institution dedicated to nurturing the next generation of fitness professionals. We offer specialized diploma programs in Fitness Training and Nutrition, emphasizing practical learning and industry-relevant skills. Our state-of-the-art facilities, experienced faculty, and supportive environment provide students with the ideal platform to achieve their career goals in the fitness industry.

Work Culture: At Organization, we foster a collaborative, inclusive, and growth-oriented work culture. Our team is passionate about fitness and education, committed to making a positive impact on our students' lives. We value innovation, creativity, and a growth mind-set, offering a supportive and fulfilling work environment.

Job description:

A.Administration:

• Coordination with all the departments as per the requirement

• Contacting Students if there are any changes in their Lecture Schedule

• Follow-up calls to Students regarding the PDCs (Post-dated Cheque), missed lectures EMIs, etc.

• Exams: Supervising In-house Theory Exams and Practical exams/pre-requisite calls to students for remote exams

• Banking: Cash deposition/Cheque deposition

• Administer the distribution and collection of lockers for staffs and students

• School Stock: Printing item, Toiletry and Stationery

B.Reception:

• Responsible for welcoming students/visitors/staffs at the school

• Responsible for handling incoming calls 

• Managing the school notice board and organizing classrooms

• Maintaining attendance of students and staffs

• Checking the hygiene and cleanliness of the entire school

C.Cash Management:

• Handling Petty Cash of School

• Preparing Payment vouchers and coordination the same with the Accounts Team

What are we looking for:

• Good Communication Skill and Extremely Logical & Multitasking

• Well versed with computer skills (MS office, Excel, Word & PowerPoint, etc.

If Anyone interested apply through link:- https://tiny.cc/NGtalent

Work with a world-class fin-tech maverick that is focusing on creating a powerful future-focused infrastructure with sophistication and transparency.

Our client is a cross border payment platform started in 2014, with a vision to simplify the cross-border payments experience for consumers. It later expanded and scaled its offerings to meet the needs of SME’s, Financial Institutions, Enterprises, and other payment service providers. It is currently accessible in 90 countries dealing with 63 currencies, developing cutting-edge products and solutions that solve the most crucial problems in the FinTech space.

As a Manager/ Sr. Manager Talent Acquisition, you will be responsible for setting up and driving our core programs of sourcing talent and raising the bar of talent that comes to the company.

What you will do:

• Sourcing, engaging and recruiting mid to senior level hires for positions globally
• Owning hiring for Non Tech positions covering Business Development, Customer Success, Operations, Marketing, and G&A roles across multiple countries globally including the APAC, Europe and US regions.
• Partnering with hiring managers to execute on hiring plans
• Developing proactive sourcing strategies to engage and developing a pipeline of passive talent apart from active pool.
• Creating strong governance with hiring teams to identify trends within the market, strategizing on outreach approaches, and brainstorming creative search methods.
• Leveraging internal tools to build pipeline and engaging active and passive talents in the markets
• Focusing on diversity and inclusion hiring and ensuring a diverse candidate slate across all roles.
• Reporting on recruiting metrics and performance reports on a regular basis

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

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.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

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. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

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. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

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. 

Responsibilities:

• 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.

Mosaic is looking for a Senior Executive in Ecommerce. 

Managing efforts across all marketplaces. Revenue numbers across these channels would be your primary KPI. You would also be expected to oversee and manage the operational aspects. 

Responsibilities 

• Define, develop and constantly optimize digital solutions to meet the goals and KPIs by developing and A/B Testing campaign strategies, landing pages & pricing strategies 
• Maintain the online listing sheet for the brand and make updates as products are added,prices are changed etc.
• Audit all online listings on a weekly basis and ensure that changes are made if there areany errors.
• Develop strong relationships with various Ecommerce Portals representatives to help drive sales 
• Keep collecting data for platforms e.g. top selling products, competitor performance,advertising mechanisms etc.
• As the Ecommerce Specialist you will own our objective to ensure our products and assets are created and deployed perfectly across retailer websites such as Amazon, Ocado, Tesco and our products featured on our own Beauty and Personal Care brand websites.
• Coordinate with the Logistics team to ensure proper supply at different warehouses
•  Work with the Design team to help develop best in class advertising creatives

Requirements 

• Lots of drive and comfortable with A/B testing multiple approaches to get the end result 
• Expected to work as an individual contributor 
• Strong interpersonal skills to work with cross functional teams 
• Ability to work under deadlines and manage multiple projects at once & thrive in an unstructured environment 
• Ability to cater product pitch to the specific target audience, and getting the best communication out to drive sales.