Our client is one of the big 4 global management consultancy companies that focuses on achieving outcomes par excellence, by working alongside its clients, who are ambitious change makers across industries, as one team and thus redefining the industries.
They serve across industries such as financial services, aviation, energy and natural resources, aerospace and defense, automotive, technology, retail, health care, etc. They provide consultancy services in various categories including but not limited to, cost transformation, business strategy, customer experience, manufacturing, supply chain, mergers & acquisitions, leadership and talent etc.
What you will do:
- Understanding learning needs and objectives of different cohorts
- Coordinating internal requirements for specific training programs
- Creating invites, encouraging participation and tracking attendance for trainings
- Running post training surveys and analyzing data to measure learning effectiveness and impact
- Managing learning programs end to end
- Supporting in designing and developing learning programs
- Creating summary reports with key learnings, basis training evaluation post trainings
- Running various other training initiatives and tasks as per the need and as the firm evolves
Desired Candidate Profile
What you need to have:- MBA/ Masters in HR or related discipline with 5-6 years of relevant work experience
- Prior experience in corporate learning function is essential
- Ability to execute plans
- Strong program management and organizing capability
- Excellent communication skills
- Ability to coordinate effectively with multiple stakeholders
- Proficiency with Word, Excel and PowerPoint
Shubham Vishwakarma
Full Stack Developer - Averlon
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Data AnalyticsThirumoolar IT Solutions is looking for a motivated and enthusiastic Fresher Trained Dataset Engineer to join our team. This entry-level position is ideal for recent graduates who are eager to apply their academic knowledge in a practical setting and contribute to the development of high-quality datasets for machine learning applications.
Responsibilities
Assist in the collection, cleaning, and preprocessing of data to ensure it is ready for training machine learning models.
Collaborate with senior dataset engineers and data scientists to understand the requirements for specific machine learning tasks.
Participate in the annotation and labeling of datasets, ensuring accuracy and consistency in data representation.
Conduct quality checks on datasets to identify and rectify errors or inconsistencies.
Support the development of documentation and guidelines for data annotation processes.
Stay updated with the latest tools and techniques in data processing and machine learning.
Skills and Qualifications
Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.
Basic understanding of machine learning concepts and the importance of high-quality datasets.
Familiarity with programming languages such as Python or R is a plus.
Knowledge of data manipulation libraries (e.g., Pandas, NumPy) is advantageous.
Strong analytical skills and attention to detail.
Excellent communication and teamwork abilities.
A passion for learning and a desire to grow in the field of data engineering.
Preferred Location
Candidates based in Tamil Nadu or those willing to work from home are encouraged to apply.
establishing Nexprt’s scale-up plan, user-feedback cycles, or supply-side strategy. Across all projects, you’ll be tasked with scoping the problem, building a set of experiments, executing the experiments with the help of the product/engineering/demand/supply teams, and establishing scalable processes for the future. Some examples:
● Identifying new buyer groups / customer segments for growth, and developing relevant supply side value propositions, GTM strategies, and fulfilment engines
● Leading supply and product growth into new sub-categories, categories, sourcing
regions/countries, and user segments: identifying the right set of suppliers, running pilots,
setting pricing and quality standards, and scaling products to run on auto-pilot
● Building technology tools that help scale operations / productize ground operations, in
conjunction with product & engineering teams - digitising supply chains, QA QC, pricing and more
● Driving innovation across product development and manufacturing - experimenting with new raw materials, processes, packaging, order-fulfillment models and more
Working on critical projects, you’d be expected to leverage deep problem solving and business understanding - and lead projects to the point of completion. You will work closely with verticals in the organization, to ensure execution of projects.
• Understand the Business requirements and convert them into technical requirements.
• Ability to debug the system for certain behavior of the feature(s) and explain it to the Users Perform fit/gap analysis to evaluate each functional area in a business process to achieve specific goal(s).
• Identify/modify standard/custom reports that are needed to produce Statutory, Management, Reconciliation reports and others.
• Develop/maintain interfaces from/to Oracle General Ledger, Account Payable and Account Receivables.
• Provide requirements to third party applications that interface with Oracle General Ledger
• Create ad hoc reports as per the requirements.
• Create, test and implement code changes and integrate them with existing programs as needed.
• IT Resource for Oracle Financials/HR related projects coordinate meetings/communications with the Oracle Financials/HR User Communityo Mentor Employees as needed.
• Provide timely and effective reporting on status of projects.
Maintain consistent contact with existing clients.
Manage sales pipeline.
Analyze market and establish competitive advantages.
Track metrics to ensure targets are hit.
Javascript•Sound knowledge of EDI standards like ANSI X12, EDIFACT, TRADACOM, XML, Rosetta Net etc.
•Good understanding of XSLT, XSD and XML parsing processes.
•Having WebMethods knowledge in EDI domain will be huge plus.
•Good Knowledge of scripting languages like JavaScript, Perl etc.
•Good knowledge of file sharing protocols like AS2, AS3, FTP/SFTP, HTTP/HTTPS etc.
•Experience in EDI Mapping to/from following platforms/technologies (not limited to)
oSAP (IDOC)
oMainframe.
oCSV/XML/JSON/Flat File e.Word/Excel/PDF
•Good working knowledge SQL and relation databases (Oracle/MySQL etc.).
FlutterNest is a gamified investment platform for the next-generation and young millennials of the world, to invest, play and earn returns more than a regular savings bank account. The world of gaming is merging with finance to offer a more immersive user experience and help users learn how to manage their money. We’re creating a new breed of asset managers and fin-fluencers with Nest.
About the role
- We are looking for an expert Flutter developer who is proficient in Dart and Firebase.
- The person will be developing user interface components and implementing them by following well-known Flutter workflows (such as providers, bloc, controllers and so on).
- The person will also be focusing on APIs and ensuring that these are integrated with the application.
- Preference will be given to candidate with experience in animation and games
Basic Qualifications
- Strong development skills with verifiable past work in Flutter.
- Proficient experience working with various Firebase capabilities.
- Past experience working with API management and client integration.
- A strong understanding of State Management, managing async datastreams, and familiarity with design principles.
- Ability to transform complex requirements to clear, time-oriented specifications.
- 2+ years of relevant work experience.
Preferred Qualifications
- Previous Flutter apps that are published and available on the Play/App Store.
- Proficient understanding of cross-platform compatibility and UI consistency in various device types.
- Familiarity with Javascript/Typescript.
- Knowledge of Android and iOS programming.
- Proactive approach to build better in-house coding practices and systems.
- Be highly autonomous in solving complex tasks, issues and platform challenges.
What you’ll receive
- A compensation competitive to premier firms
- Incredible learning and exposure to every aspect of a funded financial startup as an early member, working directly with the founders.
- Recognition and experience of working on a platform with an exponential user growth curve.
- A fun and receptive work culture which promises to never get mundane!
* Taking inbound sales calls.
* Schedule meetings and site visits for prospective plans.
* Good communication skills.
* Ability to provide information verbally clearly and effectively
* Work from Office.
Machine Learning (ML)
Deep LearningAbout 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.
We’re looking for a team player, who is motivated by delivering great work. Some of the skills and experience we look for includes:
- Builds and maintains relationship with talent pool in regional markets
- Opens and manages requisitions throughout recruiting lifecycle
- Manages candidate database, including resumes and applications
- Assesses recruiting service request and confirms talent needs with Business and Hiring Manager
- Identifies recruiting channels and target talent pools and conducts search for candidates
- Captures applicant information into recruiting database, maintaining database for future reference
- Prepares and shares candidate communications throughout recruiting lifecycle
- Provides candidate logistics support during hiring process, including coordination of candidate interviews and screening
- Screens candidates, including review of application and resume along with conducting assessments and interviews in partnership with Hiring Manager
- Serves as a point of escalation for inquiries and redirects the resolution of complex or unusual talent acquisition inquiries to the Talent Acquisition COE
- Provides inputs on recruiting operations and execution improvements to Talent Acquisition Lead and Talent Acquisition COE
NodeJS (Node.js)
React.jsJavascript
ExpressKnowledge of Node.js and frameworks available for it (such as Express, StrongLoop, etc depending on your technology stack)
Understanding the nature of asynchronous programming and its quirks and workarounds
Good with REST Api and integration of many API's in our backend
Good understanding of server-side templating languages (such as Jade, EJS, etc depending on your technology stack)
Understanding accessibility and security compliance
User authentication and authorization between multiple systems, servers, and environments
Integration of multiple data sources and databases into one system
Understanding fundamental design principles behind a scalable application
Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
Creating database schemas that represent and support business processes
Implementing automated testing platforms and unit tests
Proficient understanding of code versioning tools, such as Git
Good Code writing skills
Integration with Shopfy, Zoho, ERP, CRM is a plus.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon