OPERATIONS MANAGER

Purchase Manager Technical Profile JD

Male candidate -Experience 10-15 years in engineering industry (Manufacturing) and should

handle a purchase team independently.

Qualification – Diploma or Mechanical Engineer

Good technical knowledge of sheets, rods, pipes, Structural steel, Castings and

outsourcing jobs

Knowledge of drawing, design.

Good communication and negotiation skills

Expertise in vendor scouting / sourcing

Identify cost reduction areas.

Must have good knowledge of metal market

Must have knowledge of Job work process

Should be able to handle a team independently

Ready to travel anywhere to source the material

MIS of Purchase

LOCATION : Koparkhairane, Navi Mumbai

Salary - Upto 80

HR Operations Executive

Location - Andheri, Mumbai

Work from office

10 am to 7 pm (Mon to Sat)

Please note only looking for an immediate joiner.

Requirements:

• Bachelor's degree in human resources.
• Minimum 3- 5 years of relevant experience in human resources.
• Additional training/certification in Payroll Management - may be advantageous.
• Full understanding of HR functions and best practices.
• Well-versed with HRMS
• Onboarding and Exit formalities
• Well-versed with the entire Payroll Cycle
• HR documentation
• Employee grievances
• Prepare and maintain employee master (MIS) (Good with excel)
• Good with drafting letters and policies

Responsibilities

• Recruit Stockist/Super stockist.
• Develop Local sales strategies for market penetration for Domestic and International Tours.
• Researching and identifying sales opportunity, generating leads, target identification.
• Build new client’s database of Retail and Corporate Clients.
• Identify opportunities for campaigns and services that will lead to an increase in sales.
• Expanding business in the given territory.
• Promote the company's products/ services.

• Expert on cloud security, CASB, proxy & content filtering solutions.
• Good knowledge on network security concepts.
• He will be expected to work in Security operations with normal shifts but should be ready to support 24*7 in case of critical issues or scheduled activities.
• Should have good hands on experience on ITSM process.  
• He will also be required to work on new technology evaluation by working with OEMs

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.

Desired Candidate Profile

• Experience in developing modern web applications using React and Redux.
• Strong proficiency in CSS, JavaScript, including DOM manipulation and the JavaScript object model
• Good understanding of Database schema, design, optimization, scalability.
• Great communication skills, strong work ethic.
• Ownership of the product from start to finish.
• Ability to learn new technologies quickly.

• Experience with AWS
• Expert level understanding of the HTML DOM and underlying event model
• Prior Open source contributions
• Experience building responsive design.

We are US based organization and are hiring mobile app developers in India on direct payroll of the company.
We have job openings (fully remote) for developer roles in our organization. For job security concerns of candidates, our company also provides part-time option with 10 hrs/week option.

JOB DETAILS

Job Title: Mobile App Developer
Company: Flower City (US)

The ideal candidates will have a combination of following skills:
-Amazon web services
-GraphQL/Apollo
-ionic framework
-Angular2+

Freshers may also apply. We also provide internship opportunities in aforementioned technologies. The internship duration is 6 months after which you stand a chance to be recruited (or even before 6 months are completed if your performance stands out).

Location: Fully remote with quarterly meetings in Chandigarh,
Salary: Negotiable (for experienced candidates only).