Network Engineering

• Strong Product Design Profile, with a focus on B2B Enterprise products
• Mandatory (Experience 1) – Must have 4+ YOE in hands-on experience in Product Design, with recent 2+ YOE in complex B2B Enterprise scale Products
• Mandatory (Experience 2) – Must have strong hands-on experience in solving complex B2B workflows, creating wireframes, UI mockups and prototypes
• Mandatory (Portfolio) - Must have strong Product Designs for complex B2B Enterprise level applications, (like B2B dashboards, Admin configurations, analytics etc)
• Mandatory (Company) - Large-Scale B2B SaaS / Enterprise-level Products

Senior Cloud & ML Infrastructure Engineer

Location: Bangalore / Bengaluru, Hyderabad, Pune, Mumbai, Mohali, Panchkula, Delhi

Experience: 6–10+ Years

Night Shift - 9 pm to 6 am

About the Role:

We’re looking for a Senior Cloud & ML Infrastructure Engineer to lead the design,scaling, and optimization of cloud-native machine learning infrastructure. This role is ideal forsomeone passionate about solving complex platform engineering challenges across AWS, witha focus on model orchestration, deployment automation, and production-grade reliability. You’llarchitect ML systems at scale, provide guidance on infrastructure best practices, and work cross-functionally to bridge DevOps, ML, and backend teams.

Key Responsibilities:

● Architect and manage end-to-end ML infrastructure using SageMaker, AWS StepFunctions, Lambda, and ECR

● Design and implement multi-region, highly-available AWS solutions for real-timeinference and batch processing

● Create and manage IaC blueprints for reproducible infrastructure using AWS CDK

● Establish CI/CD practices for ML model packaging, validation, and drift monitoring

● Oversee infrastructure security, including IAM policies, encryption at rest/in-transit, andcompliance standards

● Monitor and optimize compute/storage cost, ensuring efficient resource usage at scale

● Collaborate on data lake and analytics integration

● Serve as a technical mentor and guide AWS adoption patterns across engineeringteams

Required Skills:

● 6+ years designing and deploying cloud infrastructure on AWS at scale

● Proven experience building and maintaining ML pipelines with services like SageMaker,ECS/EKS, or custom Docker pipelines

● Strong knowledge of networking, IAM, VPCs, and security best practices in AWS

● Deep experience with automation frameworks, IaC tools, and CI/CD strategies

● Advanced scripting proficiency in Python, Go, or Bash

● Familiarity with observability stacks (CloudWatch, Prometheus, Grafana)

Nice to Have:

● Background in robotics infrastructure, including AWS IoT Core, Greengrass, or OTA deployments

● Experience designing systems for physical robot fleet telemetry, diagnostics, and control

● Familiarity with multi-stage production environments and robotic software rollout processes

● Competence in frontend hosting for dashboard or API visualization

● Involvement with real-time streaming, MQTT, or edge inference workflows

● Hands-on experience with ROS 2 (Robot Operating System) or similar robotics frameworks, including launch file management, sensor data pipelines, and deployment to embedded Linux devices

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

• 3+ Years of designing and developing using AngularJS 
• Writing JavaScript, TypeScript, CSS, and HTML.
• Knowledge of JavaScript MV-VM/MVC frameworks including Angular JS.
• Excellent project management skills.
• Proven experience implementing front-end and back-end JavaScript applications.
• Excellent communication skills.
• Critical thinker and good problem-solver.

Skills

• Good Hand on Angular and working with latest angular versions.
• Good communication skills.
• Critical thinker and good problem-solver

REQUIRED EXPERIENCE AND SKILLS:

Experience:

3-9 Years of experience into C#, .Net & WPF(mandatory).

Technology skills:

Mandatory

 Strong background in Software Development/Engineering

 Good experience of the n-Tier architectures with REST web services (WebAPI would be a plus).

 Hands on experience with .NET 4.5, C#, WPF with MVVM or PRISM and WebAPI or WCF

 Should have worked on SQL Server

 Worked on LINQ and Entity Framework

 Sound Knowledge of SOA Principles.

 Experience with Agile/Scrum Organization.

 Experience with ATDD / TDD (Fitnesse for the ATDD would be a plus)

 Experience with Continuous Integration environments (TeamCity would be a plus)

 Experience with TFS as a source code repository and as a Scrum tool.

 Excellent communication skills with fluent English.

Preferred

 Knowledge on UML, design patterns, design principles such as SOLID / DRY and best coding practices.

 Proven ability and interest in building new application feature which interacts with existing application and infrastructure.

Methodology skills

 Test Driven Development

 Agile-Scrum

 Domain Driven Design