11+ GPU computing Jobs in Pune | GPU computing Job openings in Pune

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

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

• 5+ years of experience
• FlaskAPI, RestAPI development experience
• Proficiency in Python programming.
• Basic knowledge of front-end development.
• Basic knowledge of Data manipulation and analysis libraries
• Code versioning and collaboration. (Git)
• Knowledge for Libraries for extracting data from websites.
• Knowledge of SQL and NoSQL databases
• Familiarity with RESTful APIs
• Familiarity with Cloud (Azure /AWS) technologies

Job Description:

• 5-8 years of experience as business analyst preferably with some experience in healthcare domain
• Experience in capturing/ defining requirements and creating business requirements document/ software requirements specifications
• Extensive and hands on experience in creating wireframes using tools like Visio etc.
• Experience in communicating with stakeholders across the board, including clients, business team, and the development team to make sure the goals are clear and the vision is aligned with business objectives
• Experience as a BA in software development/ implementation projects is a must
• Experience in creating and prioritizing the list of user stories/ backlog items and prioritize them based on the overall strategy and business objectives
• Experience in overseeing the development of the product and taking necessary steps to keep the project on track
• Strong communication skills, documentation skills. Excellent PPT, word and excel skills are a must

 Good to have

• Have worked with hospitals or outpatient clinics or public sector healthcare entities
• BA may have to travel for a few weeks Internationally

About Us:

Varivas is a community that allows users to create, support, and recommend content. The mission of Varivas is to give community freedom, ease, and complete control of their content.

Varivas is an early-stage startup looking for its first few members.

 https://www.varivas.community/

Become part of a core team of an upcoming startup building an exciting product from scratch.

Your Responsibilities:

• Write scalable backend code and audit existing backend code for sanity, performance and security
• Design and implementation of on-demand scalable, and performant applications.
• Defining and setting development, test, release, update, and support processes for DevOps operation
• Incidence management and root cause analysis
• Selecting and deploying appropriate CI/CD tools for various test automation frameworks
• Monitoring the processes during the entire lifecycle Encouraging and building automated processes wherever possible
• Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
• Achieve repeatability, fast recovery, best practices, and delegate proper ownership permissions to teams
• Analyzes the technology currently being used and develops plans and processes for improvement and expansion for better cost and efficiency
• Collaborate with and assist QA in performing load tests and assessing performance optimization
• writing and maintaining the DevOps processes in tools such as confluence

We are looking for someone who is:

• Ready to take complete ownership of the whole infra at Varivas
• Has previous experience in building and maintaining live production app
• You have an eye for detail.
• You’re a problem solver and a perpetual learner.
• You possess a positive and solution-oriented mindset.
• Good Problem-solving skills and troubleshooting
• Build high-performing web and native applications that are robust and easy to maintain

Our Current DevOps stack:

• Github/bitbucket
• Azure cloud storage
• MongoDB Atlas
• JIRA
• Selenium, cypress test automation
• Heroku/digital ocean
• GoDaddy
• Google Analytics/search console
• SendGrid
• sentry.io
• hotjar

What we can offer:

• Payment for work done (of course 🙂)
• Remote work from anywhere
• part time or full time engagement
• Complete flexibility of working hours
• Complete freedom and ownership of your work
• No meetings, standups, or daily status group calls. (We prefer asynchronous communication like slack)

(Senior Product Engineer - ROR)

Experience - 3 to 6 years

Location  - Pune

We are looking for an enthusiastic developer with a strong understanding of core Ruby and Rails framework along with PostgreSQL database. Someone who is passionate about coding and loves to work in an ongoing challenging environment. You will be part of a talented software team. You have to consistently deliver in a fast paced environment and should be more than willing to build software that people love to use.

Key Responsibilities

The individual role that you’ll play in our team:

• Developing large multi-tenant applications in Rails.
• Understanding Rails best practices and religiously introducing those to our codebase.
• Knowledge on how to do effective Refactoring.
• Ability to write unit tests and following those practices religiously.
• Working closely with the Product managers and UX team.
• Helping QAs to write automated integration tests.
• Staying up-to-date with current and future Backend technologies and architectures.

Read the ‘Skills and Experience’ section, it is not the usual yada yada, you’ll be asked specific questions on these.

Skills and Experience

• Ruby on Rails architecture best practices
• Knowledge on the latest versions on ROR
• Strong OOP knowledge in Ruby.
• Asynchronous Networking in Ruby 
• Designing RESTFul HTTP APIs using JSON-Schema or JSON API (http://jsonapi.org/">jsonapi.org).
• Ability to architect and develop API only backend
• Experience in using ActiveRecordSerializer
• Understanding O-Auth2 or JWT (Json Web Token) authentication mechanisms.
• How to use RSpec
• Rails Security Best Practices
• PostgreSQL and Rails.
• SQL concepts like Joins, Relationships etc.
• Understanding DB Partition strategies.
• Knowledge about refactoring ActiveRecord Models (read this - “7 Patterns to Refactor Fat ActiveRecord Models”).
• Understanding scaling strategies for a high-traffic Rails applications (2 million+ requests a day).
• Background Job processing using Redis and Sidekiq
• Experience in using Amazon Web Services (AWS) tools.
• Writing automated Deployment Scripts using Capistrano, Ansible etc.
• Sending emails in Rails
• Knowledge in Linux and Git is mandatory

Optional Skills

• Knowledge in using Chef or Puppet
• Ability to do basic DevOps like setting up a Linux server.
• Websocket communication in Rails 5.
• Node.js
• JRuby

Scalefusion (formerly known as Mobilock Pro): (Our Flagship Product)  

Scalefusion MDM allows organizations to secure & manage endpoints including smartphones, tablets, laptops, rugged devices, mPOS, and digital signages, along with apps and content. It supports the management of Android, iOS, macOS and Windows 10 devices and ensures streamlined device management operations with InterOps. Fusion of Endpoints at Scale. 

Promobi Technologies:   

ProMobi Technologies provides a leading Mobile Device Management Solution under the brand Scalefusion. The solution allows organizations to manage Android and iOS devices from the cloud. It offers modern mobile device management (MDM), application management (MAM) and content management (MCM) experience for corporate-owned devices. Renowned organizations from startups to Fortune 500 trust Scalefusion for their Device Management.  

Designation- Manager- Accounts CPA ( Certified Public Accountant )

Job Description :-

Exp- 8-12 yrs

Skills & Responsibility-

• Preparing and maintaining the company accounts and managing the expenses/bills/payments

• Maintains and balances subsidiary accounts by verifying, allocating, posting, reconciling transactions for India and US accounts

• Managing commissions calculations and accounting for US Sales employees

• Process travel and expense reports that are billed to clients which involves managing reports of US employees

• Maintains general ledger by transferring subsidiary accounts; preparing a trial balance; reconciling entries

• Coordinate the preparation of regulatory reporting

• Handle day to day functioning of the Accounts and finance functions & Ledger Scrutiny

• Periodic (weekly, monthly) metrics and analytics reporting for the company.

• Backup for generating renewal Maintenance and Support invoices for customers.