Sale representative

• Strong Outbound Sales profile with B2B Saas or ERP-Tech Sales experience
• Mandatory (Experience 1): 1+ YOE in B2B SaaS / Tech Sales experience as an SDR
• Mandatory (Experience 2): Must have strong experience in Lead Generation & Outbound Calls
• Mandatory (Experience 3): Hands-on experience outbound experience using email, LinkedIn, cold calls, and WhatsApp.
• Mandatory (Tools): Proficient in using CRM systems like HubSpot and LinkedIn Sales Navigator.
• Mandatory (Company) - B2B SaaS Products OR IT/Tech Services companies

Preferred

We are building VALLI AI SecurePay, an AI-powered fintech and cybersecurity platform focused on fraud detection and transaction risk scoring.

We are looking for an AI / Machine Learning Engineer with strong AWS experience to design, develop, and deploy ML models in a cloud-native environment.

Responsibilities:

- Build ML models for fraud detection and anomaly detection

- Work with transactional and behavioral data

- Deploy models on AWS (S3, SageMaker, EC2/Lambda)

- Build data pipelines and inference workflows

- Integrate ML models with backend APIs

Requirements:

- Strong Python and Machine Learning experience

- Hands-on AWS experience

- Experience deploying ML models in production

- Ability to work independently in a remote setup

Job Type: Contract / Freelance  

Duration: 3–6 months (extendable)  

Location: Remote (India)

Design engineer - Eplan

(2 to 3 years

Eplan certification

Diploma / BE - electrical / instrumentation)

Skills: ETL+ SQL

· Experience with SQL and data querying languages.

· Knowledge of data governance frameworks and best practices.

· Familiarity with programming/scripting languages (e.g., SparkSQL)

· Strong understanding of data integration techniques and ETL processes.

· Experience with data quality tools and methodologies.

· Strong communication and problem-solving skills

Detailed JD: Data Integration: Manage the seamless integration various data lake, ensuring that jobs are running as expected, validate the data ingested , track the DQ checks , rerun/reprocess the jobs in case of failures post figuring out the RCAs

Data Quality Assurance: Monitor and validate data quality during and after the migration process, implementing checks and corrective actions as needed.

Documentation: Maintain comprehensive documentation related to data issues encountered during the weekly/monthly processing and operational procedures.

Continuous Improvement: Recommend and implement improvements to data processing, tools, and technologies to enhance efficiency and effectiveness.

You'll be trained first on content writing through online meets. After that, you'll be required to do the assigned tasks.

• Day-to-day tasks will be given
• Remote work
• Flexible timings
• Duration - 2 months
• Earning opportunities will be introduced
• Certificate and Letter Of Recommendation on completion

Responsibilities include: 

• Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
• Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
• Build data ingestion and data transformation infrastructure
• Automate infrastructure that the data science team uses
• Perform statistical analysis and tune the results so that the organization can make better-informed decisions
• Set up and manage AI development and product infrastructure
• Be a good team player, as coordinating with others is a must

Salary: No bar for right candidate

React JS

Node JS

Graphql

Required background:

Ideal candidate is full stack with a focus on the backend

Can work with React.JS and is comfortable with CSS

Strong Node.JS with working experience in Graphql

Worked on scaling issues and real-time distributed systems

Has experience building microservices.

Has work experience with web sockets, WebRTC and RTMP / HLS.

5.5+ years of experience after college

Ideally has past experience with Java or GoLang.

Roles and Responsibilities

• Manage large amounts of inbound calls/emails/chats in a timely manner
• Follow communication scripts/templates when handling different topics
• Identify customers needs, clarify information, research every issue and provide solutions and/or alternatives
• Keep records of all conversations in our contact centre database in a comprehensible way
• Meet personal/team qualitative and quantitative targets

Requirements:

• Graduate / Post- Graduate with 0-6 Months experience in a customer support role
• Exceptional active listening, verbal and written communication skills
• Proficiency with computers, especially with CRM software, and good typing skills.
• Customer focus and adaptability to different personality types
• Ability to multi-task, set priorities and manage time effectively
• Ability to work remotely with minimal supervision

Responsibilities for Staff Engineer role:

• Having experience in Java along with Springboot, Micorservices, RDBMS
• Experience required: 6yrs to 8 yrs.