Inside Sales Specialist

Strong Software Development & DSA Profile

Mandatory (Experience): Must have 5+ YOE in Software Devleopment (preferably in product-based companies).

Mandatory (Skills 1): Must have strong expertise in scalable systems and applied DSA

Mandatory (Skills 2): Must have strong understanding of System Design (like HLD, LLD, microservices, caching, database scaling)

Mandatory (Exclusion): Don't source from Physicswallah and Scaler (No hire policy)

Strong PMO / Project Management Profile

Mandatory (Experience) – Must have a minimum 3+ YOE in Project Management and related roles

Mandatory (Skills 1) – Must have hands-on experience with Project Management standards, processes, and governance

Mandatory (Skills 2) – Must have experience of managing project status, risks, budgets, deviations, and defect tracking

Mandatory (Skills 3) – Must have experience in Project Planning & Scheduling using tools such as MS Project Planning and Advanced Excel

Mandatory (Skills 4) – Must have experience in developing dashboards and reports for management and stakeholders

Mandatory (Skills 5) – Must have experience in participating in Scrum calls and Agile ceremonies

Mandatory (Qualification) – Must hold a Bachelor’s degree

Preferred

Preferred (Skills) – Familiarity with Azure DevOps, Jira, and Power BI.

Preferred (Company) - Product Companies

Responsibilities:

• Help build model monitoring systems across model types like regression, classification with structured & unstructured datasets.
• Build high-performance multi-tenant deployment architecture that works across frameworks like PyTorch, sklearn, TensorFlow.
• Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
• Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
• Write maintainable, scalable performant python code, Build high volume and high availability analytics systems, Push the state of the art of MLOPs to push the industry ahead.

Requirements:

• 3+ years work experience with production-grade python- preferably contribution to open source repost.
• Prior experience with ML monitoring, observability & explainability systems, and familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy, etc.
• Comfortable working in a Linux environment, experience with one relational & 1 non-relational DB is preferred.
• Some working experience with TensorFlow or PyTorch is preferred.
• Experience with model analysis and experimentation frameworks like MLFlow, W& B;, tfma is preferred.

We're seeking a talented and motivated Full Stack Developer who is experienced in Node.js, React.js, and Laravel (PHP) to work on building high-performance web applications, APIs, SaaS platforms, and hosting tools. This role is perfect for someone who thrives in a dynamic environment and wants to contribute to modern, scalable platforms used by thousands of users.

Responsibilities

Develop and maintain full-stack applications using Node.js (backend), React.js (frontend), and Laravel (backend).

Design, implement, and document APIs and microservices for internal and customer-facing platforms.

Integrate third-party APIs, payment gateways, and other services as needed.

Collaborate with UI/UX designers to ensure a high-quality user experience.

Optimize applications for maximum speed and scalability.

Troubleshoot, debug, and upgrade existing software.

Participate in code reviews, sprint planning, and team meetings.

As a member of the development group, you will be primarily responsible for the design, development, and maintenance of the product:  

• Help define and create full stack architecture and deployment using React- Django-AWS in an agile environment with lots of ownership and active mentoring 
• Work with the Product and Design teams to build new features to solve business problems and fill business needs 
• Participate in code reviews to create robust and maintainable code 
• Work in an agile environment where quick iterations and good feedback are a way of life 
• Interact with other stakeholders for requirement, design discussions and for adoption of new features 

• Communicate and coordinate with our support and professional services teams to solve customer issues 
• Help scale our platform as we expand our product across various markets and verticals globally 
•  

As a young, fresh startup, we are hoping to be joined by self-starting, hardworking, passionate individuals who are committed to delivering their best, who can grow into future leaders of FactWise. 

What you need to have:

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 2+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
• strong quantitative and programming skills with a product-driven sensibility

High Level Scope of Work :

• Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
• Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
• Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
• Gather additional and external data sources to support the AI/ML Model as desired .
• Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
• Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)

Required technology expertise :

• Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
• Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
• Strong Database Development knowledge using SQL and PL/SQL
• Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
• Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
• Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
• Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
• Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
• Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.

Qualifications

• Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
• Certified as DATA SCIENTIST or MACHINE LEARNING Expert.