Python Developer

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• Must have experience with Amazon Web Services (AWS)
• Experience with Python/Node.JS/Typescript
• At least 2+ years as back-end software developer
• A deep understanding of the benefits of the Microservice and serverless paradigms
• Prepared technical documentation, and understand why it’s important
• Understanding of database principals: SQL and NoSQL
• Collaboration and communication skills (you’ll be working with clients and internal teams)
• An understanding of programming fundamentals (OOP, data structures, algorithms)
• Familiarity and comfort with REST API, Postman
• The ability to work independently or within a team structure.
• A “lead by example” attitude, and motivation to deliver work you’re proud of

Company: PluginLive

About the company:

PluginLive Technology Pvt Ltd is a leading provider of innovative HR solutions. Our mission is to transform the hiring process through technology and make it easier for organizations to find, attract, and hire top talent. We are looking for a passionate and experienced Data Engineering Lead to guide the data strategy and engineering efforts for our Campus Hiring Digital Recruitment SaaS Platform.

Role Overview:

The Data Engineering Lead will be responsible for leading the data engineering team and driving the development of data infrastructure, pipelines, and analytics capabilities for our Campus Hiring Digital Recruitment SaaS Platform. This role requires a deep understanding of data engineering, big data technologies, and team leadership. The ideal candidate will have a strong technical background, excellent leadership skills, and a proven track record of building robust data systems.

Job Description

Position: Data Engineering Lead - Campus Hiring Digital Recruitment SaaS Platform

Location: Chennai

Minimum Qualification:  Bachelor’s degree in computer science, Engineering, Data Science, or a related field. Master’s degree or equivalent is a plus.

Experience:  7+ years of experience in data engineering, with at least 3 years in a leadership role.

CTC:  20-30 LPA 

Employment Type:  Full Time

Key Responsibilities:

Data Strategy and Vision:

• Develop and communicate a clear data strategy and vision for the Campus Hiring Digital Recruitment SaaS Platform.
• Conduct market research and competitive analysis to identify trends, opportunities, and data needs.
• Define and prioritize the data roadmap, aligning it with business goals and customer requirements.

Data Infrastructure Development:

• Design, build, and maintain scalable data infrastructure and pipelines to support data collection, storage, processing, and analysis.
• Ensure the reliability, scalability, and performance of the data infrastructure.
• Implement best practices in data management, including data governance, data quality, and data security.

Data Pipeline Management:

• Oversee the development and maintenance of ETL (Extract, Transform, Load) processes.
• Ensure data is accurately and efficiently processed and available for analytics and reporting.
• Monitor and optimize data pipelines for performance and cost efficiency.

Data Analytics and Reporting:

• Collaborate with data analysts and data scientists to build and deploy advanced analytics and machine learning models.
• Develop and maintain data models, dashboards, and reports to provide insights and support decision-making.
• Ensure data is easily accessible and usable by stakeholders across the organization.

Team Leadership:

• Lead, mentor, and guide a team of data engineers, fostering a culture of collaboration, continuous improvement, and innovation.
• Conduct code reviews, provide constructive feedback, and ensure adherence to development standards.
• Collaborate with cross-functional teams including product, engineering, and marketing to ensure alignment and delivery of data goals.

Stakeholder Collaboration:

• Work closely with stakeholders to understand business requirements and translate them into technical specifications.
• Communicate effectively with non-technical stakeholders to explain data concepts and progress.
• Participate in strategic planning and decision-making processes.

Skills Required:

• Proven experience in designing and building scalable data infrastructures and pipelines.
• Strong proficiency in programming languages such as Python, R, Data visualization tools like Power BI, Tableau, Qlik, Google Analytics
• Expertise in big data technologies such as Apache Airflow, Hadoop, Spark, Kafka, and cloud data platforms like AWS, Oracle Cloud.
• Solid understanding of database technologies, both SQL and NoSQL.
• Experience with data modeling, data warehousing, and ETL processes.
• Strong analytical and problem-solving abilities.
• Excellent communication, collaboration, and leadership skills.

Preferred Qualifications:

• 
  
• Experience in HR technology or recruitment platforms.
• Familiarity with machine learning and AI technologies.
• Knowledge of data governance and data security best practices.
• Contributions to open-source projects or active participation in the tech community.

Simform is a fast-growing software services company mainly serving and having a presence in North America. Simform has built a solid work culture that is focused on learning, growth, and work-life balance. Simform is well-known for its very good work culture and loved by employees.

Please read more about the company and work culture here : https://www.simform.com/careers/

Job Description :

Summary : Major focus will be the development of server-side logic to ensure high performance and responsiveness to requests received from front-end. Deployment on the production server.

Responsibilities :

- Understanding the project requirement and coding the programs efficiently to meet the client's requirements to the closest proximity.

- Optimise output to run smoothly on multiple delivery platforms.

- Design and implement low-latency, high-availability, and performant applications.

- Integration of user interface elements developed by front-end developers with server-side logic.

- Integration of multiple data sources and databases into one system.

- Integration of data storage and third-party library/package into the application.

- Create or integrate any such thing manually if not available on standard package list.

- Create the best fitted and scalable database schema for particular business logic.

- Should be hands-on in reading large volumes of data from the database, or over HTTP(S)/WebSockets.

- Ensure programs and applications are bug-free and run smoothly.

Skills And Qualifications :

- Familiarity with Python web stacks and In-depth knowledge of different frameworks (Django, Flask, etc.)

- Understanding different types of Object Relational Mappers.

- Ability to work on multiple API integrations, and write modular reusable code.

- Understanding of the threading limitations of Python, and multi-process architecture

- Good knowledge of a server-side templating language.

- Basic understanding of front-end frameworks such as Angular, ReactJs, VueJs and technologies such as JavaScript, HTML5, and CSS3

- Knowledge of user authentication and authorisation between multiple systems, servers, and environments

- Understanding of fundamental design principles behind a scalable application

- Familiarity with object event-driven programming in Python

- Strong unit test and debugging skills

- Proficient understanding of code versioning tools, such as Git, Mercurial or SVN.

• A Golang developer role is to build optimized, scalable, and modular software using required technologies. You are tasked with developing and coding back-end components and connecting applications to other web services.

• Research and test new technologies
• Collaborating with others to build and develop a quality
• Monitoring and Oversee company’s data
• Managing users and user roles
• Detecting, announcing, and correcting errors
• Proposing alternative solutions

• To cooperate with other stakeholder to design, develop, test, release and improve services
• Maintain development standards, practices & principles
• Build scalable and maintainable software
• Analytical approach on what and how

• At least 4 years of experience with Golang.
• Have expertise in implementing micro services (using tools and technologies for messaging, RPC, containerization, etc.)
• Experience working with SQL/NoSQL databases, ability to write complex queries and optimize them
• Understanding of containerization technologies (Docker, RKT, Kubernetes, etc.)
• Basic experience with CI/CD systems (Jenkins, TeamCity, GoCD, Concourse, etc.)
• Basic experience working with AWS/Google Cloud