Customer Support executive

IncRuiter is a next-generation technical screening and talent assessment platform. We are a SaaS-based organization with an interview service (IaaS) at its core. IaaS & Video Interview Platforms have a combined market size of 5-6Bn USD. It’s a niche and new market segment in the B2B sector.

EXCITED ABOUT YOUR TASKS?

● Connect with potential clients to evaluate needs or promote products and services

● Meeting or exceeding sales goals

● Negotiating all contracts with prospective clients

● Helping determine pricing schedules for quotes, promotions, and negotiations

● Preparing weekly and monthly reports

● Giving sales presentations to a range of prospective clients

● Coordinating sales efforts with marketing programs

● Understanding and promoting company programs

● Obtaining deposits and balance of payment from clients

● Preparing and submitting sales contracts for orders

● Maintaining client records

● Answering client questions about credit terms, products, prices, and availability.

WILL YOU NEED TO SUCCEED?

● Bachelor’s degree in business or management

● Successful track record in B2B sales and negotiation

● A commitment to excellent client service

● Excellent verbal and written communication skills

● Proficiency with data analysis, forecasting, and budgeting

● Proven ability to plan and manage resource

● Proficiency in Microsoft Office applications, including Word, excel, and PowerPoint.

Role Overview

We are seeking a proficient Full Stack Developer with expertise in Java and React.js / Angular to join our dynamic team. The ideal candidate will be responsible for developing and maintaining scalable web applications, ensuring seamless integration between front-end and back-end systems.

Key Responsibilities

• Develop and maintain web applications using Java (Spring Boot) and React.js/ Angular.
• Design and implement RESTful APIs and microservices.
• Collaborate with cross-functional teams to define and deliver new features.
• Ensure application performance, scalability, and security.
• Participate in code reviews and maintain code quality standards.

Required Skills

• Strong proficiency in Java, Spring Boot, and React.js / Angular.
• Experience with RESTful APIs and microservices architecture.
• Familiarity with HTML, CSS, JavaScript, and modern front-end frameworks.
• Knowledge of version control systems like Git.
• Understanding of Agile development methodologies.

Roles and Responsibilities:

Perform detailed feature requirements analysis along with a team of Senior Developers, 

define system functionality, work on system design and document the same

● Design/Develop/Improve Cogno AI’s backend infrastructure and stack and build fault￾tolerant, scalable and real-time distributed system

● Own the design, development and deployment of code to improve product and platform 

functionality

● Taking initiative and giving ideas for improving the processes in the technology team 

would lead to better performance of the team and result in robust solutions

● Writing high-performance, reliable and maintainable code

● Support team with timely analysis and debugging of operational issues

● Emphasis on automation and scripting

● Cross-functional communication to deliver projects

● Mentor junior team members technically and manage a team of software engineers

● Taking interviews and making tests for hiring people in the technology team

What do we look for?

The following are the important eligibility requirements for this Job:

● Bachelor's or Master's degree in computer science or equivalent.

● 5+ years of experience working as a software engineer, preferably in a product-based 

company.

● Experience working with major cloud solutions AWS (preferred), Azure, and GCP.

● Familiarity with 3-Tier, microservices architecture and distributed systems

● Experience with the design & development of RESTful services

● Experience with developing Linux-based applications, networking and scripting.

● Experience with different data stores, data modelling and scaling them

● Familiarity with data stores such as PostgreSQL, MySQL, Mongo-DB etc.

● 4+ years of experience with web frameworks (preferably Django, Flask etc.)

● Good understanding of data structures, multi-threading and concurrency concepts.

● Experience with DevOps tools like Jenkins, Ansible, Kubernetes, and Git is a plus.

● Familiarity with elastic search queries and visualization tools like grafana, kibana

● Strong networking fundamentals: Firewalls, Proxies, DNS, Load Balancing, etc.

● Strong analytical and problem-solving skills.

● Excellent written and verbal communication skills.

● Team player, flexible and able to work in a fast-paced environment.

● End-to-end ownership of the product. You own what you develop.

Qualifications & Experience:

▪ 2 - 4 years overall experience in ETLs, data pipeline, Data Warehouse development and database design

▪ Software solution development using Hadoop Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc.

▪ Expert in SQL, worked on advanced SQL for at least 2+ years

▪ Good development skills in Java, Python or other languages

▪ Experience with EMR, S3

▪ Knowledge and exposure to BI applications, e.g. Tableau, Qlikview

▪ Comfortable working in an agile environment

• Serving as a go-between the candidates and hiring managers
• Coordinating the hiring process end-to-end
• Building and reporting on quarterly and annual hiring plans
• Creating and publishing job ads in various portals
• Networking with potential hires through professional groups on social media and during events
• Collaborating with hiring managers to set qualification criteria for future employees
• Screening resumes and job applications
• Conducting initial phone screens to create shortlists of qualified candidates
• Interviewing candidates in person for a wide range of roles (junior,senior, and executive)
• Tracking hiring metrics including time-to-hire, time-to-fill, and source of hire
• Designing, distributing and measuring the results of candidate experience surveys
• Training and advising hiring managers on interviewing techniques and assessment methods
• Hosting and participating in job fairs
• Following up with candidates throughout the hiring process
• Maintaining a database of potential candidates for future job

What you need to have:

• Excellent communication skills
• Compliance knowledge
• Time management skills
• Organizing & Relationship building skills

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.

• Must have the experience of leading teams and drive customer interactions
• Must have multiple successful deployments user stories
• Extensive hands on experience in Apache Spark along with HiveQL
• Sound knowledge in Amazon Web Services or any other Cloud environment.
• Experienced in data flow orchestration using Apache Airflow
• JSON, XML, CSV, Parquet file formats with snappy compression.
• File movements between HDFS and AWS S3
• Experience in shell scripting and scripting to automate report generation and migration of reports to AWS S3
• Worked in building a data pipeline using Pandas and Flask FrameworkGood Familiarity with Anaconda and Jupyternotebook