Inside Sales Associate - B2B Sales

Key Responsibilities

• Backend & API Engineering (60% Focus)
• Design and implement REST APIs and microservices for high-performance AI systems.
• Apply enterprise object-oriented programming best practices for secure, scalable backend services.
• Integrate AI-powered features with cloud-native architectures.
• Generative AI & LLM Development (40% Focus)
• Build LLM-powered features with the OpenAI API or other LLM APIs (reasoning and non-reasoning models, temperature tuning, version control).
• Implement retrieval-augmented generation (RAG).
• Apply advanced prompt engineering and model tuning techniques for optimized results.
• Deploy and manage solutions using Docker and secure integrations (e.g., SSO, Google Drive).

What We’re Looking For

• 10+ years of backend engineering experience (REST APIs, microservices, OO enterprise architecture).
• 3+ years of experience building AI/ML solutions (LLMs, RAG, OpenAI API).
• Strong hands-on Python expertise and object-oriented design patterns.
• Hands-on experience with Langchain, Lambda, Docker, and secure system integrations.
• Proven track record delivering production-ready, scalable applications.

Job Description:

Look for candidates who are preferably immediate joiners and have stability in career

Skills - DS Algorithms, Oops Concept,

Job Brief-

·       Understand product requirements and come up with solution approaches

·       Build and enhance large scale domain centric applications

·       Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines

We are looking for a Flutter Developer to build and enhance our mobile application for Android and iOS. You will be responsible for developing a high-performance, user-friendly, and scalable app that delivers a seamless experience for travelers and property owners.

Key Responsibilities:

• Develop, test, and deploy Homly’s mobile application using Flutter.
• Optimize the app for performance, responsiveness, and smooth UI/UX.
• Integrate APIs, Firebase, payment gateways, and other third-party services.
• Work closely with designers and backend developers to ensure seamless functionality.
• Fix bugs, enhance app features, and ensure smooth navigation using GoRouter.
• Implement state management using Provider, Riverpod, or Bloc.
• Write clean, maintainable, and scalable code following best practices.

• .Develop and maintain the backend for a web platform in the Fin-tech Industry domain.
• Create testing framework for all business use cases Maintain Deploy builds

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

Responsibility

• Manage largeamounts of incoming phone calls.
• Identify and assess customers’ needs to achieve satisfaction.
• Build sustainable relationships and trust with customer accounts through open and interactive communication.
• Provide accurate, valid and complete information by using the right methods/tools.
• Handle customer complaints, provide appropriate solutions and alternatives within the time limits; follow up to ensure resolution.
• Keep records of customer interactions, process customer accounts and file documents.
• Follow communication procedures, guidelines and policies.
• Take the extra mile to engage customers.

Requirements

• Must be Graduated or Post-Graduated.
• Should have at least 1 year of proven customer support experience or experience as a Client Service Representative.
• Strong phone contact handling skills and active listening.
• Familiarity with CRM systems and practices.
• Customer orientation and ability to adapt/respond to different types of characters.
• Excellent communication and presentation skills.
• Ability to multi-task, prioritize, and manage time effectively.

What you’ll do:

• Translation of text from English to Odia
• Contribute to Word pool of Odia language database.
• Content creation.
• Research work on Odia language contents, web pages, applications.
• Testing and enhancement of proprietary language technologies
• Development of internal tools
• Maintaining records of work received and work performed etc.

Who you are:

• Graduation/Post graduation in language, Journalism or Mass Communication
• Diploma in Translation will be an added advantage
• Excellent command over English and Odia language
• Working knowledge of text entry in Odia language
• Working experience on Unicode text.
• Good knowledge of computer usage including MS Word and Excel 
• Experience in translation/copy-writing or creative writing

Job Description:

• Expert level knowledge of JavaScript
• We use Airbnb style to code
• Should be strong in Problem solving skills, data structure and algorithms
• Strong Proficiency in Node.js with detailed experience in Express, loopback, swagger, PM2
• Should have well understanding on Asynchronous Programming
• Experience with Socket.io, engine.io (Preferred)
• Working knowledge of Promise, Callback hell and ways to avoid it
• Solid experience with RDBMS (PostgreSQL)
• Experience with Redis, MongoDB (Preferred)
• Understanding of the design Principles of a scalable system
• Exposure to GCP/ AWS is must
• Excellence in Programming, Debugging and Maintaining the code
• A strong ability to quickly learn new technologies and to keep yourself updated with the latest in tech
• A go-getter attitude with oceans of optimism, humility, and self-motivation
• Passion for code quality and attention to detail
• Experience with Code versioning tool like Git, SVN is preferred