Counselor – Online Sales

Role Description

We are seeking a full-time AI Developer specializing in Generative AI and Large Language Models (LLMs) to join UpSolve Solutions in Mumbai. This client-facing, on-site role involves designing, developing, and deploying AI models, specifically focusing on GenAI and LLMs. The AI Developer will leverage expertise in machine learning, natural language processing, and data science to build cutting-edge AI solutions that drive business innovation and solve complex challenges.

Qualifications

• Proficiency in Python
• Strong projects in Flask + JS
• Excellent problem-solving, critical thinking, and analytical skills
• Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
• Bachelor's or Master’s degree in a relevant field (e.g., Computer Science, Artificial Intelligence, Data Science)

Job Overview:

A Desktop Support Engineer is responsible for providing technical assistance to users, troubleshooting hardware and software issues, and ensuring the smooth operation of computer systems. They install, maintain, and support IT infrastructure, including desktops, laptops, printers, and network devices.

Key Responsibilities:

• Technical Support: Provide first-level support for hardware, software, and network issues.
• Installation & Configuration: Install, configure, and maintain desktops, laptops, operating systems, and applications.
• Troubleshooting: Diagnose and resolve system errors, application failures, and connectivity issues.
• Network Support: Assist with basic networking issues such as internet connectivity, VPN setup, and LAN/Wi-Fi troubleshooting.
• Security & Updates: Ensure system security by updating antivirus software, installing patches, and following IT security protocols.
• User Assistance: Provide guidance and training to end users on IT best practices.
• Peripheral Support: Manage printers, scanners, and other office peripherals.
• Documentation: Maintain records of IT assets, support requests, and resolutions.

Required Skills & Qualifications:

• Education: Diploma/Bachelor’s degree in IT, Computer Science, or a related field.
• Technical Knowledge: Experience with Windows, macOS, Linux, Microsoft Office, and remote desktop tools.
• Networking Basics: Understanding of LAN, WAN, IP addressing, and DNS.
• Problem-Solving: Strong troubleshooting and analytical skills.
• Communication Skills: Ability to interact with non-technical users and explain solutions clearly.
• Certifications (Preferred): A+, N+, MCSA, CCNA, or other relevant IT certifications.

Work Environment:

• On-site or remote support depending on company policies.
• May require flexible hours or on-call support for urgent issues.

We are looking "SAP CPI/PI/PO" for Reputed Client @ Chennai Permanent Role.

Experience: 3-8 Yrs

• Should have worked on at least 2 integration projects with SAP Cloud Integration CPI 

• Prefer work experience on developing CPI flows to integrate with Cloud for customer, Hybris /commerce cloud, SuccessFactors, S4HANA & MDG. 

• Experience on Groovy scripts, Java, XSLT . 

• Should have worked on implementations with complex mappings and different adaptors like OData, SOAP, SF, IDoc, SFTP, Process Direct, JMS etc 

• Expert in operate and monitor integration scenarios and worked with Cloud monitoring tools. 

• Experience on integrating Cloud systems with on premise S4HANA and Database systems. 

• Worked with API Management and API Gateways for secure connectivity. 

• Extensive knowledge and experience on packaged content / OOB and customizes the standard artifacts. 

• Able to configure SAP PI/PO adapters like SOAP, IDOC_AAE, Proxy, RFC, REST, JDBC, SFTP, AS2, EDI Separator. 

• SAP PI/PO integration experience on XI CONTENT objects and Enterprise services provided by SAP. 

• Good in JAVA, UDF, custom adapter module developments. 

• Extensive knowledge on SAP PI/PO NWA, Issue analysis, Error handling & Performance tuning. 

• Knowledge on BTP is an added advantage. 

• Team player, good communication skills. 

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.

• 5+ years of industry experience in developing mobile applications, web and/or large-scale enterprise products
• Mobile Development Experience: Swift, Objective-C, and Xcode
• Familiarity with Apple Human Interface Guidelines
• Experience with standard mobile architectures (MVC, MVVM, MVP, etc)
• Ability to effectively apply software design patterns and architectural principles
• Knowledgeable in building complex user interfaces
• Skillful at writing effective unit and behavioral tests
• Experience with software development processes (Agile, Scrum, Kanban, etc)