Hybris Developer

Relationship Manager – Insurance Sales.

Identifying, recruiting, and onboarding new agents - POSP, ensuring they meet company standards and are properly trained. 

Achieving Sales Target

Providing ongoing training and development opportunities for agents, including product knowledge, sales techniques, and professional skills. 

Guiding agents in achieving sales targets, developing sales strategies, and identifying new business opportunities. 

Building and maintaining strong relationships with agents, providing support and addressing their needs. 

Tracking agent performance, identifying areas for improvement.

Developing and implementing strategies to grow the agency channel, expand market share, and increase profitability. 

Serving as a point of contact between the agency and the company, coordinating with various departments to support the agent network. 

Required skills

• Proven working experience as an Insurance Agent or relevant experience from Insurance Broking Industry
• Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc)
• Basic computer knowledge and statistical analysis

Role Overview

We are looking for a highly skilled and intellectually curious Senior Data Scientist with 7+ years of experience in applying advanced machine learning and AI techniques to solve complex business problems. The ideal candidate will have deep expertise in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI), along with strong hands-on coding skills and a proven track record of delivering impactful data science solutions. This role requires a blend of technical excellence, business acumen, and collaborative mindset.

Key Responsibilities

• Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs, Transformers).
• Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI.
• Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization.
• Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications.
• Collaborate with data engineers to build scalable data pipelines and feature stores.
• Perform advanced feature engineering and selection to improve model accuracy and robustness.
• Work with large-scale structured and unstructured datasets using distributed computing frameworks.
• Translate business problems into data science solutions and communicate findings to stakeholders.
• Present insights and recommendations through compelling storytelling and visualization.
• Mentor junior data scientists and contribute to internal knowledge sharing and innovation.

Required Qualifications

• 7+ years of experience in data science, machine learning, and AI.
• Strong academic background in Computer Science, Statistics, Mathematics, or related field (Master’s or PhD preferred).
• Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).
• Experience with NLP and GenAI tools (e.g., Azure AI Foundry, Azure AI studio, GPT, LLaMA, LangChain).
• Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Familiarity with cloud platforms (Azure preferred, AWS/GCP acceptable) and MLOps tools (MLflow, Airflow, Kubeflow).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with Aure, Azure Copilot Studio, Azure Cognitive Services
• Experience with Azure AI Foundry would be a strong added advantage

Preferred Skills

• Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks.
• Experience in domains such as finance, healthcare, retail, or enterprise SaaS.
• Contributions to open-source projects, publications, or patents in AI/ML.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement abilities.
• Ability to work independently and collaboratively in cross-functional teams.
• Passion for continuous learning and innovation.

Experience Level: Intern

Job Description:

As a Customer Support Intern, you will be responsible for supporting users, addressing their queries, and contributing to the overall customer satisfaction. This is a hands-on opportunity to learn and grow in a fast-paced environment, focusing on developing your skills in customer service and support strategies.

Key Responsibilities:

Issue Resolution:

• Assist in responding to customer queries and concerns via email, chat, or phone.
• Escalate complex issues to senior team members and follow up until resolved.
• Document customer issues and solutions for reference.

Customer Assistance:

• Guide users on how to navigate the platform and resolve common issues.
• Provide proactive assistance to improve user experience.

Process Improvement Support:

• Assist in identifying common issues and suggest solutions to enhance support processes.
• Collect feedback from customers and share it with relevant teams.

Team Collaboration:

• Work closely with the customer support team to learn best practices and improve response quality.
• Coordinate with other departments to resolve cross-functional customer issues.

Qualifications:

• Pursuing or recently completed a Bachelor's degree in any field (preferred).
• Excellent communication skills (written and verbal).
• A positive attitude with a customer-first approach.
• Basic understanding of social media platforms and online communities is a plus.
• Strong problem-solving skills and the ability to work collaboratively.
• Willingness to learn and adapt to a dynamic work environment.

Perks of the Internship:

• Hands-on experience in customer service in the social media industry.
• Opportunity to work in a collaborative and innovative work environment.
• Certificate of Internship upon completion.
• Mentorship from experienced professionals.
• Opportunity for a full-time role based on performance.

How to Apply:

If you're eager to kickstart your career in customer support, submit your resume and a brief cover letter to mail I'd outlining your interest and how you can contribute to our team.

We look forward to welcoming a motivated and enthusiastic intern to our team!

Thanks & Regards,

Yamini Patel

HR Manager

• Solid experience in RoR, Golang, NodeJS or Python. Good to have exposure to ML.
• Should have experience in cloud computing
• Has an ability to quickly learn and contribute in multiple codebase
• Overcomes roadblocks and requires minimal oversight
• Takes initiatives to fix issues/tech debts before assigned to him/her
• Able to deep dive into codebase and advise QA of possible regression impact
• Communicates tech decisions through design docs and tech talks
• Has delivered projects with end-to-end accountability
• Keeps track of industry trends and introduces right tech/tools for a given job
• Excellent understanding of software engineering practices, Design Patterns, Data Structures, Algorithms

About Us

We have grown over 1400% in revenues in the last year.

Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell.

Our IVA is transforming financial institutions’ call centers from a cost to a revenue center.

Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1. 

We are 45 people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft, and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs, and many who have been previously part of early-stage startups. 

We are a fully remote team.

Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues.

As a Site Reliability Engineer you will be in charge of:

• Designing, analyzing and troubleshooting large-scale distributed systems
• Engaging in cross-functional team discussions on design, deployment, operation, and maintenance,  in a fast-moving, collaborative set up
• Building automation scripts to validate the stability, scalability, and reliability of interface.ai’s products & services as well as enhance interface.ai’s employees’ productivity
• Debugging and optimizing code and automating routine tasks
• Troubleshoot and diagnose issues (hardware or software), propose and implement solutions to ensure they occur with reduced frequency
• Perform the periodic on-call duty to handle security, availability, and reliability of interface.ai’s products 
• You will follow and write good code and solid engineering practices

You can be a great fit if you are :

1. Extremely self motivated
2. Ability to learn quickly
3. Growth Mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322" target="_blank">link)
4. Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766" target="_blank">link)
5. Passionate about the possibilities at the intersection of AI + Banking
6. Worked in a startup of 5 to 30 employees
7. Developer with a strong interest in systems Design. You will be building, maintaining, and scaling our cloud infrastructure through software tooling and automation. 
8. 4-8 years of industry experience developing and troubleshooting large-scale infrastructure on the cloud
9. Have a solid understanding of system availability, latency, and performance
10. Strong programming skills in at least one major programming language and the ability to learn new languages as needed  
11. Strong System/network debugging skills
12. Experience with management/automation tools such as Terraform/Puppet/Chef/SALT
13. Experience with setting up production-level monitoring and telemetry
14. Expertise in Container management & AWS
15. Experience with kubernetes is a plus
16. Experience building CI/CD pipelines
17. Experience working with Web sockets, Redis, Postgres, Elastic search, Logstash
18. Experience working in an agile team environment and proficient understanding of code versioning tools, such as Git.
19. Ability to effectively articulate technical challenges and solutions.
20. Proactive outlook for ways to make our systems more reliable

Position: - Professional Service Consultant

Location: - Noida

Company: - Infinity Labs Ltd

Website: - http://www.infinitylabs.in">www.infinitylabs.in

Job Description: -

Desired Experience:

Providing remote support/ consultation on security domain who can work in a 24/7 environment and collaborate with customers and accounts teams to deliver seamless services to large enterprises.

Education:

BE in Computer Science or equivalent education/training/experience.

Key Skills:

• Excellent verbal and written communication skills.
• Strong consulting skills.
• Ability to multi-task and work in a fast-paced environment.
• Ability to be self-starting and manage multiple tasks at a given time.
• Ability to work individually and as a part of a team.
• Effectively handle multiple projects and deliver the right solution to the customer.

Technical Skills

• Advance understanding of internetworking, LAN, and WAN technologies.
• Experience with network, security solutions, and technologies leading security solutions in large environments.
• Expertise with Remote Access VPN solutions, IPSEC, PKI & SSL, TCP/IP, Authentication Protocols (LDAP, RADIUS etc.)
• Experience with troubleshooting skills related to networking, routing, IP, NAT, IPSEC VPNs and knowledge of how these interact with applications and users.
• Ability to independently debug broad, complex, and unique networks with mixed media and protocols required.
• Experience with installation, configuration and operation of Palo Alto Networks products.
• Experience working with a multi-factor authentication security system.
• Experience on the Endpoint security.
• Experience in Cloud technologies (AWS, Azure primarily, VMware NSX etc.)