11+ Value engineering Jobs in Bangalore (Bengaluru) | Value engineering Job openings in Bangalore (Bengaluru)

Company: Altruist technologies, Gb palya, Bangalore

*Customer support executive

Process: *MLOB*

Education: Graduation

Salary: 20k take home

Language: Excellent English+any other language

6 days of working 1 day rotational weekoff

Shifts: rotational shifts

About Us:

Skillslash is an e-learning platform offering Data Science, artificial intelligence, machine learning and many more courses online. We work with the aim to provide a quality education that is feasible and can be easily accessed. The team at Skillslash work towards the goal of ensuring world-class training. And, we would love to have you on board to help people accelerate their careers.

The ideal candidate will be responsible for finding and identifying leads through a variety of sources. Once leads are identified, this candidate will reach out and meet with the business decision-makers to better understand their business needs and how our product could help them.

Note: Apply only if you are interested in sales

Experience: 6 month - 1 year

Location: HSR Layout Sector 6, Bangalore

Immediate Joining

What we are looking for:

• Understand Customer profiles & learning problems to explain the implications of ineffective learning methods and create a need for the course offerings through a structured Counseling Session with the working professionals and students.
• Handle Objections and Price Negotiation to generate Sales Revenue
• Learn/ Upgrade one’s own Product Knowledge, Sales Skills, and market understanding to achieve and exceed growing Sales target(s).
• Proactively identifying cross-selling/up-selling opportunities with the existing customers
• Looking after the entire sales life cycle: starting from engaging with the large volume of well-qualified leads till the final conversion i.e. enrolment in the program.
• Document all pertinent customer information and conversations into the CRM system
• Understand the customer requirement and pass on the insights towards the product portfolio improvement based.

Expectations from you:

You will begin as an individual contributor, working in a team of go-getters to help spread the Skillslash way of Learning. You would be showcasing the unique features of Skillslash to customers in personalized sessions and will be responsible for mentoring and sales in your designated zone.

Preferred Skill Sets:

• Having a keen interest and deep understanding of the education sector.
• Interested in mentoring and guiding customers.
• Having a knack for sales
• Good interpersonal and presentation skills.

Academic Qualification: Any Graduation/ Post Graduation (Completed in or before 2023)

· English Proficiency should be at the Professional level (mandatory)

· Excellent verbal and written communication skills.

· A passion for growth with huge potential.

·      4+ years of experience as a Python Developer.

·      Good Understanding of Object-Oriented Concepts and Solid principles.

·      Good Understanding in Programming and analytical skills.

·      Should have hands on experience in AWS Cloud Service like S3, Lambda functions Knowledge. (Must Have)

·      Should have experience Working with large datasets (Must Have)

·      Proficient in using NumPy, Pandas. (Must Have)

·      Should have hands on experience on Mysql (Must Have)

·      Should have experience in debugging Python applications (Must have)

·      Knowledge of working on Flask.

·      Knowledge of object-relational mapping (ORM).

·      Able to integrate multiple data sources and databases into one system

·      Proficient understanding of code versioning tools such as Git, SVN

·      Strong at problem-solving and logical abilities

·      Sound knowledge of Front-end technologies like HTML5, CSS3, and JavaScript 

·      Strong commitment and desire to learn and grow.

• System engineering and implementation in Golang.
• Working on performance issues using creative experiments and internally developed product features.
• Research, propose, and integrate relevant open-source projects based on product objectives.
• Write organized, efficient, and well documented Python/Golang code as an example for junior engineers.
• Participation in all levels of product definition, design, implementation, testing, and deployment.
• Must include the ability to discuss abstract system architectures from ideas through implementation and
• creatively apply domain experience to solve technical challenges.
• Mentoring software engineers, fostering an environment of trust and accountability.

• Strong Golang skills to develop framework(s).
• Hands-on to design & develop re-usable framework components.
• Hands-On experience on developing framework, designing re-usable framework components.
• Experience in engineering practices such as code refactoring, design patterns, design driven development,
• Continuous Integration, building highly scalable applications, application security and functional programming.

• Knowledge of Cloud native would be an advantage.
• Understanding of Kubernetes from Architecture side and also understand the Standard API.
• Code contributed to CNCF or similar community will be plus.
• Performance benchmarking of K8’s or any cloud will be added advantage.

• Deep understanding of technology and passionate about what you do.
• Background in designing high performant scalable software systems with strong focus to optimize hardware cost.
• Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.
• Strong commitment to get the most performance out of a system being worked on.
• Prior development of a large software project using service-oriented architecture operating with real time constraints.

• You will get a chance to work on cloud-native and hyper-scale products
• You will be working with industry leaders in cloud.
• You can expect a steep learning curve.
• You will get the experience of solving real time problems, eventually you become a problem solver.

• Competitive Salary
• Health Insurance
• Open Learning - 100% Reimbursement for online technical courses.
• Fast Growth - opportunities to grow quickly and surely
• Creative Freedom + Flat hierarchy
• Sponsorship to all those employees who represent company in events and meet ups.
• Flexible working hours
• 5 days week
• Hybrid Working model (Office and WFH)

• Initial Resume screening call with our Recruiting team
• Next, candidates will be invited to solve coding exercises.
• Next, candidates will be invited for first technical interview
• Next, candidates will be invited for final technical interview
• Finally, candidates will be invited for Culture Plus interview with HR
• Candidates may be asked to interview with the Leadership team
• Successful candidates will subsequently be made an offer via email
• As always, the interviews and screening call will be conducted via a mix of telephonic and video call.

About us

Skit (previously known as http://vernacular.ai/" target="_blank">Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.

Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.

We are looking for ML Research Engineers to work on the following problems:

• Spoken Language Understanding and Dialog Management.
• Language semantics, parsing, and modeling across multiple languages.
• Speech Recognition, Speech Analytics and Voice Processing across multiple languages.
• Response Generation and Speech Synthesis.
• Active Learning, Monitoring and Observability mechanisms for deployments.

Responsibilities

• Design, build and evaluate Machine Learning solutions.
• Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
• Study, implement and extend state of the art systems.
• Take part in regular research reviews and discussions.
• Build, maintain and extend our open source solutions in the domain.
• Write well-crafted programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems.

Requirements

• Practical Machine Learning experience as demonstrated by earlier works.
• Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc.
• Good programming skills and ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point.
• Git portfolios and blogs are helpful as they let us better evaluate your work.

• What information we collect during our application and recruitment process and why we collect it;
• How we use that information; and
• How to access and update that information.

• Your name, address, email address, telephone number and other contact information;
• Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
• Information from interviews and phone-screenings you may have, if any;
• Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
• Details of how you heard about the position you are applying for;
• Reference information and/or information received from background checks (where applicable), including information provided by third parties;
• Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
• Information related to any assessment you may take as part of the interview screening process.

• Assessing your skills, qualifications and interests against our career opportunities;
• Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
• Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
• Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
• Making improvements to Skit's application and/or recruitment process including improving diversity in recruitment practices;
• Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.