Business Development Executive

Review Criteria:

Mandatory:

• Strong AI Runtime Engineering (Lead / Staff) Profiles
• Must have 4+ years of software engineering experience
• Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
• Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
• Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
• Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
• Must have strong programming skills in Python, Java, C++ , etc

Preferred:

Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks

Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration

Role & Responsibilities:

As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.

What you’ll do:

Lead Runtime Design & Development:

• Own the core runtime architecture supporting AI training and inference at scale.
• Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
• Optimize distributed training reliability, orchestration, and job-level fault tolerance.

Drive Performance at Scale:

• Profile and enhance low-level system performance across training and inference pipelines.
• Improve packaging, deployment, and integration of customer models in production environments.
• Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.

Build Internal Tooling & Frameworks:

• Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
• Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
• Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.

Collaborate & Mentor:

• Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
• Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.

Ideal Candidate:

• 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
• Experience in delivering PaaS services.
• Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
• Strong programming skills in Python and C++ (Go or Rust is a plus).
• Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
• Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
• Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.

Urgent Hiring!!!

We are looking for Android Developer

Job Description:

• 0.6 month+ years of experience in developing Android applications
• Proficiency in Java, Kotlin, or C++.
• Ability to easily use Android Studio, including the Android SDK.
• Prior experience as an Android Developer will be advantageous.
• Excellent coding and proofreading skills.
• Ability to manage your workload with minimal supervision
• Proofreading your code and correcting mistakes before each app is released.
• Collaborating with UI and UX Designers, as well as Software Testers, to ensure that each app is presentable and in perfect working order

Openings: 5 position

Experience: 0.6 to 2 years

Location: Surat (onsite/full-time only)

Thanks!

Job Description for QA Engineer:

• 6-10 years of experience in ETL Testing, Snowflake, DWH Concepts.
• Strong SQL knowledge & debugging skills are a must.
• Experience on Azure and Snowflake Testing is plus
• Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus
• Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool
• Experience in JIRA, Xray defect management toolis good to have.
• Exposure to the financial domain knowledge is considered a plus
• Testing the data-readiness (data quality) address code or data issues
• Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions
• Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution
• Prior experience with State Street and Charles River Development (CRD) considered a plus
• Experience in tools such as PowerPoint, Excel, SQL
• Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus

Key Attributes include:

• Team player with professional and positive approach
• Creative, innovative and able to think outside of the box
• Strong attention to detail during root cause analysis and defect issue resolution
• Self-motivated & self-sufficient
• Effective communicator both written and verbal
• Brings a high level of energy with enthusiasm to generate excitement and motivate the team
• Able to work under pressure with tight deadlines and/or multiple projects
• Experience in negotiation and conflict resolution

1. Ability to work in a fast-paced environment with minimal supervision
2. Experience in Agile development using JIRA, GIT,  Confluence.
3. 3+ years of Experience in  node.js + Express.
4. Experience in profiling, debugging & troubleshooting Node.js processes.
5. Strong Experience as a backend developer for REST API design.
6. Strong knowledge of SQL/NoSQLdatabases like  PostgreSQL / MySQL or MongoDB
7. Understanding accessibility and security compliance
8. Understanding fundamental design principles behind a scalable application.
9. User authentication and authorization between multiple systems, servers, and environments.

We are seeking a highly skilled and experienced Full Stack Developer to join our dynamic team. As a Full Stack Developer, you will be responsible for designing, developing, and implementing software solutions across the entire application stack. You will collaborate with cross-functional teams, including product managers, designers, and other developers, to deliver high-quality, scalable, and maintainable software products.

Responsibilities :

1) Design and develop robust, scalable, and efficient software applications, APIs, and web services using modern technologies.

2) Collaborate with product managers, designers, and other developers to understand project requirements, user stories, and technical specifications.

3) Write clean, maintainable, and well-documented code following best practices and coding standards.

4) Perform thorough testing and debugging to ensure software quality and reliability.

5) Optimize application performance and implement security measures.

6) Stay up-to-date with industry trends and emerging technologies, and continuously improve technical skills.

7) Participate in code reviews to provide and receive constructive feedback.

8) Collaborate with team members to identify and resolve technical issues and bugs.

9) Work in an agile development environment, actively participating in sprint planning, stand-ups, and retrospectives.

10) Contribute to the continuous improvement of development processes and tools.

Requirements :

1) Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience).

2) Proven experience as a Full Stack Developer or similar role, with a strong portfolio of completed projects.

3) Proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern frameworks like React, Angular, or Vue.js.

4) Strong knowledge of back-end technologies such as Node.js, Python, Ruby, or Java.

5) Experience with databases and ORM frameworks (e.g., MySQL, PostgreSQL, MongoDB, SQLAlchemy, Hibernate).

6) Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and serverless architecture.

7) Knowledge of version control systems (e.g., Git) and collaboration tools (e.g., Jira, Trello).

8) Solid understanding of software development principles, design patterns, and best practices.

9) Excellent problem-solving skills and the ability to analyze and resolve complex technical issues.

10) Strong communication skills and the ability to work effectively in a team environment.

Preferred Qualifications :

1) Experience with containerization technologies (e.g., Docker, Kubernetes).

2) Familiarity with DevOps practices and CI/CD pipelines.

3) Experience with Agile/Scrum methodologies.

• Write clean, scalable code using .NET programming languages
• Remain up to date with the terminology, concepts, and best practices for coding mobile apps
• Develop technical interfaces, specifications, and architecture
• Use and adapt existing web applications for apps
• Create and test software prototypes
• Develop client displays and user interfaces
• Assist software personnel in handling project-related work and other requirements
• Coordinate with other software professionals and developers

• Familiarity with the ASP.NET framework, SQL Server, and design/architectural patterns (e.g. Model-View-Controller (MVC)
• 5 years of development experience using C# .NET
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic . NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Strong attention to detail
• Excellent troubleshooting and communication skills
• Knowledge of REST and RPC APIs
• Able to work well in a team setting

• BE/B.tech Computer science or related degree.
• Salesforce Platform Developer II certification is highly desired
• 4+ years of experience programming on the Salesforce platform
• Deep understanding of the Salesforce.com product suite including Sales Cloud, Platform and the App Exchange
• Extensive development experience with Apex Classes, Triggers, Visual-force, Lightning, Batch Apex, SOQL, Salesforce API's and other programmatic solutions on the Salesforce platform
• Firm understanding of advanced design patterns and engineering best practices
• Familiarity with agile software delivery methodologies such as Scrum
• Background in development of enterprise systems as part of a complete software product life-cycle
• An effective communicator that works well in a collaborative team setting
• Natural problem solver who enjoys identifying ways to improve our customer's overall experience
• Prior experience in SaaS or subscription-based companies is a plus
• Familiar with integration applications such as Boomi, Informatica and Mulesoft preferred
• Working knowledge of Web and JavaScript frameworks are a plus Self-starter, self-motivated, able to work independently, prioritize effectively, and perform multiple tasks under minimal supervision.

The candidate for the role will be responsible for enabling single view for the data from multiple sources. 

• Work on creating data pipelines to graph database from data lake
• Design graph database
• Write Graph Database queries for front end team to use for visualization
• Enable machine learning algorithms on graph databases
• Guide and enable junior team members

B.Tech with 2-7 years of experience

Must Have

Hands-on exposure to Graph Databases like Neo4J, Janus etc..

1. Hands-on exposure to programming and scripting language like Python and PySpark
2. Knowledge of working on cloud platforms like GCP, AWS etc.
3. Knowledge of Graph Query languages like CQL, Gremlin etc.
4. Knowledge and experience of Machine Learning 

Good to Have

• Knowledge of working on Hadoop environment

• Knowledge of graph algorithms

• Ability to work on tight deadlines