Inside Sales Executive

Job Title: Python Backend Engineer (Full-time)

Location: Gurgaon, Onsite

Working Days: 5 days

Experience Required: 4+ Years

Interview: Screening and Face-to-face Interview

Job Summary

We are looking for a Python Backend Engineer with strong experience in FastAPI/Django and hands-on exposure to MLOps and LLMOps. You will work on building APIs, deploying ML/LLM models, and enabling intelligent systems using modern AI tools and frameworks.

Responsibilities

• Build and maintain scalable backend systems using Python, FastAPI, or Django
• Deploy and manage ML models (e.g., OpenCV, scikit-learn) and LLMs in production
• Develop APIs for ML/LLM inference and support RAG pipelines
• Implement model versioning, CI/CD, and monitoring for production use
• Collaborate with AI teams to integrate models into applications

Skills Required

• Strong Python backend development (FastAPI/Django)
• Experience with ML libraries: scikit-learn, OpenCV, NumPy, Pandas
• MLOps tools: MLflow, DVC, Airflow, Docker, Kubernetes
• LLMOps tools: LangChain, LlamaIndex, RAG pipelines, FAISS, Pinecone
• Integration experience with OpenAI, Hugging Face, or other LLM APIs
• Familiarity with CI/CD tools (GitHub Actions, Jenkins)

Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys

Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase

Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.

Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.

Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.

Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams

Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)

Mandatory (Note): Don't want data analysis but business/product/user analysts

Preferred

Responsibilities:

• Designing and implementing fine-tuned production ready data/ML pipelines in Hadoop platform.
• Driving optimization, testing and tooling to improve quality.
• Reviewing and approving high level & amp; detailed design to ensure that the solution delivers to the business needs and aligns to the data & analytics architecture principles and roadmap.
• Understanding business requirements and solution design to develop and implement solutions that adhere to big data architectural guidelines and address business requirements.
• Following proper SDLC (Code review, sprint process).
• Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, etc.
• Building robust and scalable data infrastructure (both batch processing and real-time) to support needs from internal and external users.
• Understanding various data security standards and using secure data security tools to apply and adhere to the required data controls for user access in the Hadoop platform.
• Supporting and contributing to development guidelines and standards for data ingestion.
• Working with a data scientist and business analytics team to assist in data ingestion and data related technical issues.
• Designing and documenting the development & deployment flow.

Requirements:

• Experience in developing rest API services using one of the Scala frameworks.
• Ability to troubleshoot and optimize complex queries on the Spark platform
• Expert in building and optimizing ‘big data’ data/ML pipelines, architectures and data sets.
• Knowledge in modelling unstructured to structured data design.
• Experience in Big Data access and storage techniques.
• Experience in doing cost estimation based on the design and development.
• Excellent debugging skills for the technical stack mentioned above which even includes analyzing server logs and application logs.
• Highly organized, self-motivated, proactive, and ability to propose best design solutions.
• Good time management and multitasking skills to work to deadlines by working independently and as a part of a team.

Responsibilities:

• Define the code review process for the team to follow and perform code reviews.
• Design, implement, and maintain Java-based applications that can be high-volume and low-latency.
• Ensure application designs conform with business goals.
• Develop and test software & Identify and resolve any technical issues arising.

Eligibility:

• 3+ yrs of experience developing web applications using J2EE / Java.
• Possess knowledge and skills in software programming in Core Java, J2EE, Microservices-related technologies, Spring Boot, Spring MVC, Rest API, JavaScript, and XML.
• Experience developing enterprise-level web applications and RESTful APIs using Microservices.
• Experience in API Management & in using version control and CI / CD tools.

THE OPPORTUNITY

A platform to learn and grow in a great working environment with cutting edge technologies. There is vast opportunity to showcase creative thinking which can be translated into a highly optimized tools/utilities.

KEY ACTIVITIES

• Code Integrations ( Compile, Build, Notify )
• Package creation ( Service Packs, Patches, Hotfixes )
•  Environment Preparation ( With GOLD SCM technical stack )
•  Environment & Infra management
•  Package delivery ( Customer specific & Standard )
• Build & Deployment automation
• Tickets management

KEY CRITERIA

Primary Technical Skills  

• Shell Scripting
• ORACLE DB Fundamentals
• Infra Monitoring & Diagnostics
• ClearCase / GIT
• DevOps concepts
• Basic Java

Other Required Skills

• Problem Solving
• Logical Reasoning
• Aptitude & Attitude
• Communication (Verbal & Written)

1. Work with Angular2, NodeJS, Meteor, and MongoDB as the stack to develop newer functionalities for our platform
2. Deploy application on AWS/ Google Cloud infrastructure
3. Monitor the application regularly and fix bugs
4. Work with team to create scalable and robust infrastructure from experts