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

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

Job Title

Full Stack .NET Developer

Experience 5–6 Years

Job Type :Contract (C2C)

Job Summary

We are looking for a skilled Full Stack .NET Developer with 5–6 years of experience in developing scalable web applications using the .NET Framework and modern frontend technologies. The ideal candidate should have strong expertise in both backend and frontend development, along with experience in API development and database management.

Key Responsibilities

• Design, develop, and maintain full stack web applications
• Build backend services using .NET / ASP.NET Core
• Develop responsive frontend applications using modern frameworks (Angular / React)
• Design and develop RESTful APIs
• Work with databases like SQL Server
• Collaborate with cross-functional teams (UI/UX, QA, DevOps)
• Perform debugging, testing, and performance optimization
• Ensure application security and scalability
• Participate in code reviews and follow best coding practices
• Support deployment and production issues

Required Skills

• 5–6 years of experience in .NET development
• Strong knowledge of:
• C#
• ASP.NET / ASP.NET Core
• Experience with frontend technologies:
• Angular or React
• HTML, CSS, JavaScript
• Experience in REST API development
• Strong knowledge of SQL Server / database design
• Familiarity with Entity Framework
• Experience with Git / version control
• Good understanding of software development lifecycle (SDLC)

Preferred Skills

• Experience with Azure cloud services
• Knowledge of microservices architecture
• Experience with CI/CD pipelines
• Familiarity with Docker / containerization
• Agile / Scrum experience

Education

• Bachelor’s degree in Computer Science / IT / Engineering

Strong in Graphic Designer (Lifestyle / Wellness / Consumer Brands)

Mandatory (Experience 1): Must have 1+years of experience as a Graphic Designer working on lifestyle, wellness, skincare, or consumer-facing brands, ideally in in-house teams or startups.

Mandatory (Experience 2): Must have hands-on experience designing end-to-end creative assets across social media, email campaigns, presentations, and internal communications

Mandatory (Experience 3): Experience working in fast-moving, content-driven environments with multiple concurrent deliverables and tight deadlines.

Mandatory (Skill 1): Strong design fundamentals — layout, typography, hierarchy, spacing, and visual storytelling.

Mandatory (Skill 2): Ability to independently manage timelines, deliver high-quality work, and iterate based on feedback with maturity.

Mandatory (Skill 3): Proficiency in design tools — Photoshop, After Effects, Premiere Pro; ability to create motion graphics or video assets is a plus.

Mandatory (Portfolio): Must showcase 2+ completed projects or campaigns demonstrating clarity, restraint, brand consistency, and problem-solving approach in visual communication.

At Dolat Capital, we blend cutting-edge technology with quantitative finance to drive high-performance trading across Equities, Futures, and Options. We're a fast-moving team of traders, engineers, and data scientists building ultra-low latency systems and intelligent trading strategies.

🎯 What You’ll Work On

1. Designing and deploying high-frequency, high-sharpe trading strategies

2. Building low-latency, high-throughput trading infrastructure (C++/Python/Linux).

3. Leveraging AI/ML to detect alpha and market patterns from large datasets

Real-time risk systems, simulation tools, and performance optimization

4. Collaborating across tech and trading teams to push innovation in live markets.

🧠 What We’re Looking For

1. Master’s (U.S.) in CS or Computational Finance (MANDATORY)

2. 1–2 years of experience in a quant/tech-heavy role

3. Strong in C++, Python, algorithms, Linux, TCP/UDP

4. Experience with AI/ML tools like TensorFlow, PyTorch, or Scikit-learn

5. Passion for high-performance systems and market innovation.

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

• upGrad was awarded the Best Tech for Education by IAMAI for 2018-19,
• upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-after startups in India.
• upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany.
• We were also covered by the Financial Times along with other disruptors in Ed-Tech.
• upGrad is the official education partner for Government of India - Startup India program.
• Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning.

• Work with Product Managers and Business to understand business/product requirements and vision.
• Provide a clear architectural vision in line with business and product vision.
• Lead a team of architects, developers, and data engineers to provide platform services to other engineering teams.
• Provide architectural oversight to engineering teams across the organization.
• Hands on design and development of platform services and features owned by self - this is a hands-on coding role.
• Define guidelines for best practices covering design, unit testing, secure coding etc.
• Ensure quality by reviewing design, code, test plans, load test plans etc. as appropriate.
• Work closely with the QA and Support teams to track quality and proactively identify improvement opportunities.
• Work closely with DevOps and IT to ensure highly secure and cost optimized operations in the cloud.
• Grow technical skills in the team - identify skill gaps with plans to address them, participate in hiring, mentor other architects and engineers.
• Support other engineers in resolving complex technical issues as a go-to person.

• 12+ years of experience in design and development of ecommerce scale systems and highly scalable SaaS or enterprise products.
• Extensive experience in developing extensible and scalable web applications with
  • Java, Spring Boot, Go
  • Web Services - REST, OAuth, OData
  • Database/Caching - MySQL, Cassandra, MongoDB, Memcached/Redis
  • Queue/Broker services - RabbitMQ/Kafka
  • Microservices architecture via Docker on AWS or Azure.
  • Experience with web front end technologies - HTML5, CSS3, JavaScript libraries and frameworks such as jQuery, AngularJS, React, Vue.js, Bootstrap etc.

• Extensive experience with cloud based architectures and how to optimize design for cost.
• Expert level understanding of secure application design practices and a working understanding of cloud infrastructure security.
• Experience with CI/CD processes and design for testability.
• Experience working with big data technologies such as Spark/Storm/Hadoop/Data Lake Architectures is a big plus.
• Action and result-oriented problem-solver who works well both independently and as part of a team; able to foster and develop others' ideas as well as his/her own.
• Ability to organize, prioritize and schedule a high workload and multiple parallel projects efficiently.
• Excellent verbal and written communication with stakeholders in a matrixed environment.
• Long term experience with at least one product from inception to completion and evolution of the product over multiple years.