Machine Learning (ML)
Deep Learning
PythonShould be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.
KEY RESPONSIBILITIES OF THE POSITION :
- Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
- Solid understanding and experience of deep learning architectures and algorithms
- Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
- Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
- Should have experience of 2-3 production implementations of machine learning projects.
- Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
- Work with business analysts/consultants and other necessary teams to create a strong solution
- Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
- Should developing solutions using python in AI/ML projects
- Should be able to train and build a team of technical developers
- Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
- Desired to have knowledge on any of the cloud solutions such as Azure or AWS
- Desired to have knowledge on any of container technology such as Docker
- Should be able to build strong relationships with project stakeholders
Keywords:
- Python
- Artificial Intelligence
- Machine Learning
- AWS
- Django
- NLP
Shubham Vishwakarma
Full Stack Developer - Averlon
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Python
NodeJS (Node.js)
ExpressJob Title : Backend / API Developer - Python (FastAPI) / Node.js (Express)
Location : Remote
Experience : 4+ Years
Job Description :
We are looking for a skilled Backend / API Developer - Python (FastAPI) / Node.js (Express) with strong expertise in building secure, scalable, and reliable backend systems. The ideal candidate should be proficient in Python (FastAPI preferred) or Node.js (Express) and have hands-on experience deploying applications to serverless environments.
Key Responsibilities :
- Design, develop, and maintain RESTful APIs and backend services.
- Deploy and manage serverless applications on Cloudflare Workers, Firebase Functions, and Google Cloud Functions.
- Work with Google Cloud services including Cloud Run, Cloud Functions, Secret Manager, and IAM roles.
- Implement secure API development practices (HTTPS, input validation, and secrets management).
- Ensure performance optimization, scalability, and reliability of backend systems.
- Collaborate with front-end developers, DevOps, and product teams to deliver high-quality solutions.
Mandatory Skills :
Python (FastAPI) / Node.js (Express), Serverless Deployment (Cloudflare Workers, Firebase, GCP Functions), Google Cloud Services (Cloud Run, IAM, Secret Manager), API Security (HTTPS, Input Validation, Secrets Management).
Required Skills :
- Proficiency in Python (FastAPI preferred) or Node.js (Express).
- Hands-on experience with serverless platforms (Cloudflare Workers, Firebase Functions, GCP Functions).
- Familiarity with Google Cloud services (Cloud Run, IAM, Secret Manager, Cloud Functions).
- Strong understanding of secure API development (HTTPS, input validation, API keys & secret management).
- Knowledge of API design principles and best practices.
- Ability to work with CI/CD pipelines and modern development workflows.
Preferred Qualifications :
- Strong knowledge of microservices architecture.
- Experience with CI/CD pipelines.
- Knowledge of containerization (Docker, Kubernetes).
- Familiarity with monitoring and logging tools.
PythonAbout PGAGI:
We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.
About the Role
We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.
You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.
Key Responsibilities
AI / ML ENGINEERING
Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.
Develop and iterate on prompt engineering strategies to optimise model performance and output quality.
Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.
Build deep learning workflows including training, evaluation, and continuous improvement loops.
Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.
BACKEND ENGINEERING
Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.
Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.
Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.
Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).
Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.
Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.
Write clean, well-tested, and well-documented backend code; participate actively in code reviews.
VERSION CONTROL & COLLABORATION
Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.
Contribute to technical documentation, architecture decision records, and internal knowledge bases.
Duration & Compensation
Duration: 6 Months
Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance
Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance
Perks & Benefits
Hands-on experience shipping real AI products used by actual customers.
Mentorship from senior engineers and industry experts in AI/ML and backend development.
Exposure to the full development lifecycle — from model training to production deployment.
Collaborative, innovative, and flexible work environment.
Accelerated growth path with a clear route to a full-time engineering role.
How to Apply
Interested candidates are invited to submit their resume and complete the assignment using
the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754
Shortlisted candidates will be contacted for an interview.
Selection Process
Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.
Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.
Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.
Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.
Onboarding: Successful candidates will join our team, with exciting projects ahead
Requirements
MUST-HAVE SKILLS
Strong proficiency in Python for AI/ML development and scripting.
Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).
Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).
Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).
Experience with Git and GitHub version control workflows.
Exposure to AI/ML platforms such as Hugging Face and OpenAI.
Understanding of prompt engineering concepts and the model fine-tuning process.
GOOD TO HAVE
Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.
Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).
Experience with message queues (Redis, RabbitMQ) or background task processing.
Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.
SOFT SKILLS & MINDSET
Strong problem-solving instincts and a genuine curiosity about AI technology.
Ability to own tasks end-to-end and communicate progress clearly.
Comfortable working in a fast-moving environment where requirements evolve.
A growth mindset — eager to learn, receive feedback, and level up continuously.
TECH YOU'LL WORK WITH
Python
Next.js
Node.js
FastAPI
LLMs / NLP
PostgreSQL
React
Docker
HuggingFace
OpenAI API
GitHub
REST / GraphQL
Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!
#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python
Python
Django
Flask
Amazon Web Services (AWS)Job Summary:
Deqode is looking for a highly motivated and experienced Python + AWS Developer to join our growing technology team. This role demands hands-on experience in backend development, cloud infrastructure (AWS), containerization, automation, and client communication. The ideal candidate should be a self-starter with a strong technical foundation and a passion for delivering high-quality, scalable solutions in a client-facing environment.
Key Responsibilities:
- Design, develop, and deploy backend services and APIs using Python.
- Build and maintain scalable infrastructure on AWS (EC2, S3, Lambda, RDS, etc.).
- Automate deployments and infrastructure with Terraform and Jenkins/GitHub Actions.
- Implement containerized environments using Docker and manage orchestration via Kubernetes.
- Write automation and scripting solutions in Bash/Shell to streamline operations.
- Work with relational databases like MySQL and SQL, including query optimization.
- Collaborate directly with clients to understand requirements and provide technical solutions.
- Ensure system reliability, performance, and scalability across environments.
Required Skills:
- 3.5+ years of hands-on experience in Python development.
- Strong expertise in AWS services such as EC2, Lambda, S3, RDS, IAM, CloudWatch.
- Good understanding of Terraform or other Infrastructure as Code tools.
- Proficient with Docker and container orchestration using Kubernetes.
- Experience with CI/CD tools like Jenkins or GitHub Actions.
- Strong command of SQL/MySQL and scripting with Bash/Shell.
- Experience working with external clients or in client-facing roles
.
Preferred Qualifications:
- AWS Certification (e.g., AWS Certified Developer or DevOps Engineer).
- Familiarity with Agile/Scrum methodologies.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
PythonDjangoAmazon Web Services (AWS)- Strong understanding of Core Python, data structures, OOPs, exception handling, and logical problem-solving.
- Experience in at least one Python framework (FastAPI preferred, Flask/Django acceptable).
- Good knowledge of REST API development and API authentication (JWT/OAuth).
- Experience with SQL databases (MySQL/PostgreSQL) & NoSQL databases (MongoDB/Firestore).
- Basic understanding of cloud platforms (GCP or AWS).
- Experience with Git, branching strategies, and code reviews.
- Solid understanding of performance optimization and writing clean, efficient code.
- Develop, test, and maintain high-quality Python applications using FastAPI (or Flask/Django).
- Design and implement RESTful APIs with strong understanding of request/response cycles, data validation, and authentication.
- Work with SQL (MySQL/PostgreSQL) and NoSQL (MongoDB/Firestore) databases, including schema design and query optimization.
- Experience with Google Cloud (BigQuery, Dataflow, Notebooks) will be a strong plus.
- Work with cloud environments (GCP/AWS) for deployments, storage, logging, etc.
- Use version control tools such as Git/BitBucket for collaborative development.
- Support and build data pipelines using Dataflow/Beam and BigQuery if required.
- Experience with GCP services like BigQuery, Dataflow (Apache Beam), Cloud Functions, Notebooks etc
- Good to have Exposure to microservices architecture.
- Familiarity with Redis, Elasticsearch, or message queues (Pub/Sub, RabbitMQ, Kafka).
JavaPythonAmazon Web Services (AWS)Strong Software Engineer, Engineering Manager Profiles
Mandatory (Experience) – Must have minimum 4+ years of hands on experience in software development
Mandatory (Tech Skillset) – Must have 3+ years of hands-on experience in backend development using Java / Node.js / Go / Python (any 1) OR 3+ YOE in frontend Development using React / Angular / Vue (any 1)
Mandatory (Mentoring Skillset) – Must have at least 1+ year of experience leading or mentoring a team of software engineers.
Mandatory (Tech Skills) – Must have a solid understanding of microservices architecture, APIs, and cloud platforms (AWS / GCP / Azure).
Mandatory (DevOps Skillset) – Must have hands-on experience working with Docker, Kubernetes, and CI/CD pipelines.
Mandatory (Company) – Top-tier/renowned product-based company (preferred Entreprise B2B SaaS)
Mandatory (Education) – Undergraduation from Tier-1 Engineering College (IIT, BITS, IIIT, NSUT, DTU, etc.)
Mandatory (Note): No hire policy from Sprinklr
Java
Spring Boot
HTML/CSSWHAT YOU’LL BE DOING:
- Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement.
- Collaborate with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
- Develop ideas for new programs, products, or features by monitoring industry developments and trends.
- Record data and report it to proper parties, such as clients or leadership.
- Participate in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members.
- Take the lead on projects, as needed.
- Be involved and participate in the overall application lifecycle.
- Build high-quality reusable code that can be used in the future.
- Develop functional and sustainable web applications with clean codes.
- Conduct UI tests and optimize performance.
- Manage cutting-edge technologies to improve applications.
QUALIFICATIONS:
- Bachelor’s degree in Computer Science, Computer Programming or relevant field. Master’s Degree in a related field is preferred.
- 5-7 years of relevant experience
- Must be an expert programmer, skilled at computer languages such as HTML, C+++, C#, PHP, Python and Java.
- Must understand Spring Core, Spring Boot, Spring MVC, Spring Data, JMS, Mysql, Redis, CouchDb, Micro Services, Docker, Kubernetes
- Must be able to interpret and follow instructions related to the ultimate functionality of our IT-based product
- Familiarity with front-end languages such as HTML, JavaScript and CSS
- Must be comfortable with technology architecture and how a computer and its software functions.
- Deadline driven, organized and understand how people view and understand content on the front-end
- Proven experience in highly complex environments
- Strong technical documentation skills
- An ability to solve multifaceted technical issues in a fast-paced environment
- Self-motivated and accountable for your work
- Passionate about learning and continuous improvement
- Excellent written and verbal communication skills
- Ability to work overtime
C#
C++
.NETJavaPythonDear Candidate,
I came across your candidature and want to discuss on a suitable role with us.Please find below JD and do reply with updated resume. Software Development Engineer – SDE 2. Bengaluru/Hyderabad/Gurgaon/Chennai/Pune As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward. Top Skills You write high quality, maintainable, and robust code, often in Java or C++ or C# You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations. You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed. Roles & Responsibilities You solve problems at their root, stepping back to understand the broader context. You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact. You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications. You recognize and use design patterns to solve business problems. You understand how operating systems work, perform and scale. You continually align your work with Amazon’s business objectives and seek to deliver business value. You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer. You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon. You communicate clearly with your team and with other groups and listen effectively. Skills & Experience Bachelors or Masters in Computer Science or relevant technical field. Experience in software development and full product life-cycle. Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby. Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability. Proficiency in SQL and data modeling.
NodeJS (Node.js)Python
Ruby on Rails (ROR)ExpressResponsibilities:
- Build scalable, service oriented web applications from scratch for technology products for European market.
- Maintain these applications for accuracy and high availability.
- Continuously identify opportunities to improve system designs, architecture and implementation standards
- Participate with founding, business and product teams in discussions on how to build and launch new modules.
- Collaborate across functions and own the planning, estimation and execution for parts of the product.
- Start as an individual contributor but stay ready to build and mentor a small team of up to 5 engineers over the coming months and years.
- Contribute in hiring highly ambitious engineers as the team grows.
- Being among the first people on the engineering team, be a culture driver.
Requirements:
- Experience of architecting and building products/business critical backend applications using different MVC frameworks.
- Experience with microservices.
- Experience of building and maintaining scalable applications using Node.js/MEAN stack.
- Experience of deploying and maintaining web applications.
- Experience with non relational databases like MongoDB.
- Understanding of relational databases like MySQL.
- Familiarity with REST APIs and stress testing tools.
- Good communication skills.
- Exposure in building polyglot applications.
- Exposure for devops and related processes, preferably GCP.
- Knowledge of components in scalable solutions i. e. database partitions, message brokers, background processing.
- Exposure to basic frontend technologies to speed up collaboration with the frontend team.
DjangoPythonThis includes working on:
a) The main Django application, a large, modern, Django app built using Python 3.8 and the latest Python and Django libraries;
b) The API, built using Django Rest Framework (DRF) that is used both by our web-app and client libraries to build and run data analyses;
c) Backend code that integrates our web server with the rest of our cloud architecture, including our PaaS, data science code, general integrations such as payments, devops code, and more.
Ideally, you should have experience working on Django codebases which serve both server-side rendered pages and APIs via DRF. Frontend/full-stack knowledge is a an advantage but not essential. Familiarity with modern development practices, such as CI/CD, testing, DevOps, Docker, Linux and git would be a big plus. You must have very strong familiarity with Python development, and be excited to pick up the new technologies and skills - for instance we use Python type-hints across our codebase extensively.
You should like the idea of releasing to real customers regularly, and prioritise getting a great product into users’ hands for feedback and iteration. You will have extensive scope to build and architect the backend, and to help grow the team in the future.
PythonAbout Us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take
key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable
competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to
help businesses develop data-driven strategies and make smarter decisions.
Products@DataWeave
We, the Products team at DataWeave, build data products that provide timely insights that are readily
consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help
businesses take data driven decisions everyday. We also give them insights for long term strategy. We are
focussed on creating value for our customers and help them succeed.
How we work
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest
data problems that there are. We are in the business of making sense of messy public data on the web. At
serious scale! Read more on Become a DataWeaver
What do we offer?
● Opportunity to work on some of the most compelling data products that we are building for online
retailers and brands.
● Ability to see the impact of your work and the value you are adding to our customers almost immediately.
● Opportunity to work on a variety of challenging problems and technologies to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses, trainings, and tech conferences. Mentorship from seniors in the
team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Role and Responsibilities
● Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics
functionality
● Build robust RESTful APIs that serve data and insights to DataWeave and other products
● Design user interaction workflows on our products and integrating them with data APIs
● Help stabilize and scale our existing systems. Help design the next generation systems.
● Scale our back end data and analytics pipeline to handle increasingly large amounts of data.
● Work closely with the Head of Products and UX designers to understand the product vision and design
philosophy
● Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and
interns.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope.
Skills and Requirements
● 4-7 years of experience building and scaling APIs and web applications.
● Experience building and managing large scale data/analytics systems.
● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good
understanding of software design principles and architectural best practices.
● Be passionate about writing code and have experience coding in multiple languages, including at least
one scripting language, preferably Python.
● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision
is right/wrong, and so on.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● Have experience working with multiple storage and indexing technologies such as MySQL, Redis,
MongoDB, Cassandra, Elastic.
● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana,
Graylog, StatsD, Datadog etc.
● Working knowledge of building websites and apps. Good understanding of integration complexities and
dependencies.
● Working knowledge linux server administration as well as the AWS ecosystem is desirable.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon