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About the Internship

SkillSecure X is looking for motivated DevOps with AI Interns who are interested in cloud technologies, automation, CI/CD, containerization, and AI-powered DevOps practices. This internship provides hands-on experience through real-world projects and guided mentorship.

Responsibilities

• Assist in building and maintaining CI/CD pipelines.
• Learn and work with Docker, Git, and cloud platforms.
• Support deployment automation and infrastructure management.
• Explore AI tools to improve DevOps workflows and monitoring.
• Monitor application performance and troubleshoot basic issues.
• Complete weekly assignments and document project progress.

Required Skills

• Basic knowledge of Linux and Git.
• Understanding of DevOps concepts and software development lifecycle.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Basic scripting knowledge (Python, Bash, or Shell).
• Strong problem-solving and analytical skills.

Eligibility

• Undergraduate or postgraduate students.
• Recent graduates.
• Students pursuing Computer Science, Information Technology, Software Engineering, Cloud Computing, DevOps, or related disciplines.

Benefits

• Hands-on DevOps and AI project experience.
• Mentor-guided learning.
• Internship Completion Certificate.
• Letter of Recommendation (based on performance).
• Portfolio-building opportunities.
• Flexible remote internship.

Responsibilities:

Design, develop, and maintain high-quality software solutions using programming languages such as Java.

Implement backend services using frameworks like Spring Boot and frontend interfaces using frameworks like React.

 Apply deep knowledge of algorithms and data structures to solve complex problems efficiently.

 Optimize code for performance, scalability, and reliability.

 Work with SQL and NoSQL databases to design, implement, and manage data storage solutions.

 Ensure data integrity and optimize database queries.  Leverage open-source tools and frameworks to develop scalable and maintainable solutions.

 Stay updated on the latest trends in open-source technologies.

 Utilize Linux systems for development and deployment.

 Automate and streamline processes using Linux tools and scripts.

 Develop and maintain mobile applications that align with user requirements and business goals.

 Collaborate with cross-functional teams to ensure seamless integration with backend systems.

 Work closely with product managers, designers, and other engineers to bring ideas to life.

 Participate in code reviews, testing, and debugging to ensure high-quality deliverables.

Qualifications and Skills:

 Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related discipline.

 Strong knowledge of algorithms and data structures.

 Proficiency in at least one programming language, preferably Java.

 Hands-on experience with backend frameworks like Spring Boot and frontend frameworks like React.

 Familiarity with SQL and NoSQL databases.

 Solid understanding of Linux systems and tools.

 Experience developing mobile applications is highly desirable.

 Strong problem-solving skills and ability to work in a fast-paced environment.

About Vijay Sales

Vijay Sales is one of India’s leading electronics retail brands with 160+ stores nationwide and a fast-growing digital presence. We are on a mission to build the most advanced data-driven retail intelligence ecosystem—using AI, predictive analytics, LLMs, and real-time automation to transform customer experience, supply chain, and omnichannel operations.

Role Overview

We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.

Key Responsibilities

Machine Learning & AI Development

• Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
• Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
• Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
• Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.

Databricks / Data Engineering

• Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
• Optimize Databricks clusters for cost, speed, and stability.
• Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
• Use MLflow for tracking experiments, model registry, and lifecycle management.

Data Handling & SQL

• Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
• Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
• Automate ingestion of streaming and batch data into Databricks pipelines.

Deployment & MLOps

• Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
• Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
• Implement model monitoring for drift, accuracy decay, and real-time alerts.
• Maintain GPU/CPU environments for training workflows.
• 
  

Must-Have Technical Skills

Core AI/ML

• Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
• Experience in deep learning using PyTorch or TensorFlow/Keras.
• Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
• Hands-on experience with HuggingFace, embedding models, and RAG.

Databricks & Big Data

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
• Strong understanding of Spark execution, partitioning, and optimization.

Programming

• Strong proficiency in Python.
• Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
• Knowledge of Git, CI/CD, REST APIs, and Docker.

MLOps & Production Engineering

• Experience deploying models to production and monitoring them.
• Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
• Experience in building automated training pipelines and handling model drift/feedback loops.

Preferred Domain Experience

• Retail/e-commerce analytics
• Demand forecasting
• Inventory optimization
• Customer segmentation & personalization
• Price elasticity and competitive pricing

Key Responsibilities:

-Social Media Strategy Development: Collaborate with the marketing team to craft and implement social media strategies that align with company goals, driving engagement, brand awareness, and lead generation.

-Content Creation & Curation: Research, create, and schedule engaging social media content including posts, banners, and short-form videos to effectively communicate the brand’s message and promote campaigns.

-Community Management: Monitor and engage with social media communities, responding to comments, messages, and inquiries to foster positive relationships with followers and build brand loyalty.

-Campaign Management: Design, execute, and optimize paid social media campaigns on platforms like Meta, LinkedIn, and Twitter to generate leads, boost brand visibility, and achieve targeted KPIs.

-Performance Tracking & Reporting: Use analytics tools to track, analyze, and report on the performance of social media campaigns and posts, making recommendations for improvement and growth.

What We’re Looking For:

Creative Thinkers: Passionate about exploring new trends and content formats.

Self-Starter: Independent, results-driven, and able to manage projects with minimal supervision.

Qualifications:

Education: Bachelor’s degree in Marketing, Communications, or related field.

Experience: 1+ year(s) in social media marketing or content creation.

Skills: Strong English communication skills and creative content abilities.

Job Description

Must have Skill Sets 

• Go lang + Microservices
• Familiarity with MAC/Linux environment, Shell script 
• GRPC ● JavaScript & JSON 
• Knowledge of microservices and architecture 
• Knowledge of Uber Tech Stack would be a bonus ○ Will ensure candidate who are selected will undergo training on Uber Stack as a part of their induction to Uber 
• Basic SQL knowledge 

Expectations from the candidate 

• Strong hands-on experience in understanding requirements and creating microservices using Go lang.. 
• Exceptional debugging and problem-solving skills on large codebase 
• Be a proactive thinker and demonstrate keen sense to find solutions to challenging problems
• Product sense: Create more than beautiful code. Play a crucial role in choosing what we build and how we build it. 
• A penchant for collaboration & a team player: Work cross collaboratively to drive impact across orgs. Be open to candid feedback for improvement. When required step up to the role of a tech-lead to ensure effective coordination and communication 
• Independent to explore all the end points in UBER environment and coordinate with different Line of Business to understand the correct microservice for a business use case. 
• Ability to convert a high-level PRD into a detailed ERD for execution. Coordinate with business teams to understand the functional requirement and convert it into engineering logic

Primary Skills :

4+ Years with Java

2+ with Microservices

6 months to 1 Year with Golang

Exp : 4+ Years

Location : Bangalore/Hyderabad

Max Budget : 28 Lakhs

End Client : UBER

Company Profile:

Easebuzz is a payment solutions (fintech organisation) company which enables online merchants to accept, process and disburse payments through developer friendly APIs. We are focusing on building plug n play products including the payment infrastructure to solve complete business problems. Definitely a wonderful place where all the actions related to payments, lending, subscription, eKYC is happening at the same time.

We have been consistently profitable and are constantly developing new innovative products, as a result, we are able to grow 4x over the past year alone. We are well capitalised and have recently closed a fundraise of $4M in March, 2021 from prominent VC firms and angel investors. The company is based out of Pune and has a total strength of 180 employees. Easebuzz’s corporate culture is tied into the vision of building a workplace which breeds open communication and minimal bureaucracy. An equal opportunity employer, we welcome and encourage diversity in the workplace. One thing you can be sure of is that you will be surrounded by colleagues who are committed to helping each other grow.

Easebuzz Pvt. Ltd. has its presence in Pune, Bangalore, Gurugram.

Salary: As per company standards.

Designation: Data Engineering

Location: Pune

Experience with ETL, Data Modeling, and Data Architecture

Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties
- Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue.

Experience with AWS cloud data lake for development of real-time or near real-time use cases

Experience with messaging systems such as Kafka/Kinesis for real time data ingestion and processing

Build data pipeline frameworks to automate high-volume and real-time data delivery

Create prototypes and proof-of-concepts for iterative development.

Experience with NoSQL databases, such as DynamoDB, MongoDB etc

Create and maintain optimal data pipeline architecture,

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Evangelize a very high standard of quality, reliability and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow

Build and enhance data pipeline architecture by designing and implementing data ingestion solutions.

Employment Type

Full-time

• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Analysis, Automate and backtest the existing strategies
• Employing statistical applications to visualize and/or transform the distribution or dispersion profile of individual signals and support the mathematical formulation of multiple signal algorithms to rank securities for investment.

• Candidates should have strong coding skills in Python (NumPy, Pandas, matplotlib, Zipline) /Django/Java script etc.
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Must have Database knowledge like Open source, PostgreSQL, MySQL/SQ
  Learnability, teamwork and flexibility are important traits we look for.

CTC

ECTC 

Notice Period

Current Location 

Preferred Location  

Job Description:

Overview
Analyzes, develops, designs, and maintains software for the organization’s products and systems. Performs system integration of software and hardware to maintain throughput and program consistency. Develops, validates, and tests: structures and user documentation. Work may be reviewed for accuracy and overall adequacy. Follows established processes and directions
ü 3 – 8years of overall industry experience with a bachelor’s degree in an appropriate engineering discipline.
ü 3+ years of experience in network protocol stack design and Android networking software components. (e.g. DHCP, TCP/IP, UDP, Socket Programming, Routing concept, Subnet Concept etc.)
ü WLAN device driver design & development skills for Qualcomm, Broadcom, Marvel or MediaTek Wi-Fi stack.
ü Solid understanding of Wi-Fi 802.11 principles and functionality. Must be able to speak to topics including Wi-Fi roaming logic, security protocols (WPA, WPA2..), etc.
ü Proficient in debugging and implementing Linux device drivers.
ü Working knowledge of development and debugging tools on Android OS, including Klocworks.
ü Experience with network protocol stack design and Android networking software components. (e.g. DHCP, TCP/IP, UDP, Socket Programming, Routing concept, Subnet Concept etc.)
ü Experience with bus interfaces (PCIe, USB, SDIO, etc.). This is to make sure issues can be debugged related to SDIO, USB and PCIe interface between Wi-Fi driver and firmware communication path.
ü Should very capable in handling Wireshark and omni peek wireless sniffer tools to capture wireless packets and analyze the network and device problems.