11+ Fulfillment Jobs in Chennai | Fulfillment Job openings in Chennai

Job Title : Senior Machine Learning Engineer

Experience : 8+ Years

Location : Chennai

Notice Period : Immediate Joiners Only

Work Mode : Hybrid

Job Summary :

We are seeking an experienced Machine Learning Engineer with a strong background in Python, ML algorithms, and data-driven development.

The ideal candidate should have hands-on experience with popular ML frameworks and tools, solid understanding of clustering and classification techniques, and be comfortable working in Unix-based environments with Agile teams.

Mandatory Skills :

• Programming Languages : Python
• Machine Learning : Strong experience with ML algorithms, models, and libraries such as Scikit-learn, TensorFlow, and PyTorch
• ML Concepts : Proficiency in supervised and unsupervised learning, including techniques such as K-Means, DBSCAN, and Fuzzy Clustering
• Operating Systems : RHEL or any Unix-based OS
• Databases : Oracle or any relational database
• Version Control : Git
• Development Methodologies : Agile

Desired Skills :

• Experience with issue tracking tools such as Azure DevOps or JIRA.
• Understanding of data science concepts.
• Familiarity with Big Data algorithms, models, and libraries.

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.

About Us:

PluginLive is an all-in-one tech platform that bridges the gap between all its stakeholders - Corporates, Institutes Students, and Assessment & Training Partners. This ecosystem helps Corporates in brand building/positioning with colleges and the student community to scale its human capital, at the same time increasing student placements for Institutes, and giving students a real time perspective of the corporate world to help upskill themselves into becoming more desirable candidates.

Role Overview:

Entry-level Data Engineer position focused on building and maintaining data pipelines while developing visualization skills. You'll work alongside senior engineers to support our data infrastructure and create meaningful insights through data visualization.

Responsibilities:

• Assist in building and maintaining ETL/ELT pipelines for data processing
• Write SQL queries to extract and analyze data from various sources
• Support data quality checks and basic data validation processes
• Create simple dashboards and reports using visualization tools
• Learn and work with Oracle Cloud services under guidance
• Use Python for basic data manipulation and cleaning tasks
• Document data processes and maintain data dictionaries
• Collaborate with team members to understand data requirements
• Participate in troubleshooting data issues with senior support
• Contribute to data migration tasks as needed

Qualifications:

Required:

• Bachelor's degree in Computer Science, Information Systems, or related field
• around 2 years of experience in data engineering or related field
• Strong SQL knowledge and database concepts
• Comfortable with Python programming
• Understanding of data structures and ETL concepts
• Problem-solving mindset and attention to detail
• Good communication skills
• Willingness to learn cloud technologies

Preferred:

• Exposure to Oracle Cloud or any cloud platform (AWS/GCP)
• Basic knowledge of data visualization tools (Tableau, Power BI, or Python libraries like Matplotlib)
• Experience with Pandas for data manipulation
• Understanding of data warehousing concepts
• Familiarity with version control (Git)
• Academic projects or internships involving data processing

Nice-to-Have:

• Knowledge of dbt, BigQuery, or Snowflake
• Exposure to big data concepts
• Experience with Jupyter notebooks
• Comfort with AI-assisted coding tools (Copilot, GPTs)
• Personal projects showcasing data work

What We Offer:

• Mentorship from senior data engineers
• Hands-on learning with modern data stack
• Access to paid AI tools and learning resources
• Clear growth path to mid-level engineer
• Direct impact on product and data strategy
• No unnecessary meetings — focused execution
• Strong engineering culture with continuous learning opportunities

● Work experience as a front end developer
● Good Understanding of Angular/React and Javascript
● Experience working with SQL & NoSQL Databases
● Hands on experience with front-end languages and technologies, such as JavaScript,
HTML5, CSS3, etc.
● Solid understanding of object-oriented development and design patterns.
● Experience in Version Control Systems like GIT, Bitbucket.

Ideal Candidates will:
● Possess Strong sense of ownership
● Have an ability to work in high energy teams and drive results
● Have Good communication and documentation skills
● Enjoy sharing knowledge and eager to keep developing themselves

About Company:

• Role Overview

• Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.

• Key Knowledge

• 3-5+ years of experience in AWS/GCP or Azure technologies
• Is likely certified on one or more of the major cloud platforms
• Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
• Ability to guide and lead internal agile teams on cloud technology
• Background from the financial services industry or similar critical operational experience

Job description

• Participate the development process;
• Cooperate with QA team;
• Recognize opportunities to improve code efficiency;
• Perform code peer-to-peer reviews;
• Contribute to software architecture planning;
• Maintain code and documentation integrity and organization;
• Help project owner in estimating new features;
• Keep up with emerging trends and technologies;
• Accurately match UI/UX design;
• Participate in various team-buildings and non-development activities (Risks identification, Threats Modeling, etc.)
• Build reusable components.

Requirements:

• 4+ years of commercial experience;
• Strong knowledge of JavaScript (ES5, ES6+), HTML5, CSS3;
• Good understanding of CSS Preprocessors, such as LESS and Sass;
• Experience with React/Redux is a must;
• Experience with TypeScript;
• Upper-Intermediate English;
• Strong knowledge in Node.js (Express);
• Experience working in an Agile environment (Scrum or Kanban);
• Experience with build tools, code coverage, and testing frameworks Webpack, jest etc.;
• Experience with SQL and NoSQL databases PostgreSQL, MongoDB;
• Strong Knowledge with Rest API;
• Proficient understanding of code versioning tools such as Git;
• Experience with Redis, ElasticSearch.

Nice to have:

• Experience with CI/CD;
• Experience with serverless, FaaS and PaaS (AWS Lambda);
• Understanding of SDLC and ISMS.

1. SAP SD(Sales and Distribution) - HANA Sales of S/4 HANA

2. O2C(Order To Cash ) business process expertise,

3. SAP SD Implementation/Support/Development project expertise.

4. Exposure to SAP SD configurations (O2C processes, Pricing Procedure, Revenue account determination, Credit Management, Rebate Processing, Batch Management, Consignment, Stock transport orders)

5. S/4 Migration/Implementation/AMS experience

SAP Basis / HANA 

• Solution Manager/FRUN Experience with detail knowledge of how SOLMAN system is integrated with Ticketing Tools. 
• Experience in Solution Manager Technical monitoring. 
• End to end monitoring for the sap system during the changes when the monitoring is not available or until the new one is in place 
• Manage the team to get the assigned task done on time adhering the SLA. 
• Align with different stakeholders to discuss the progress of multiple tasks. 
• SPOC of Alert management team. 
• Able to solve and coordinate RCA and support during critical system behaviour.
• Audit Experience. 
• Detailed Technical experience in SAP BASIS and HANA systems administrations. 
• Experience in setting up System Replications, High Availability and Disaster recovery. 
• Possess leadership qualities. 
• Proven track record of Client handling. 
• Knowledge of SAP HANA Enterprise Cloud is desirable. 
• Coach others recognize their strengths and encourage them to take ownership of their personal development. 
• Any Experience in SAP tools (SPC, LVM, etc.) will be advantage
• Ready to learn new technologies. 
• Should be ready to work in 24*7 shifts. 
• Any Experience ECS Managed Service Model would be added advantage