HyrHub

● A resourceful engineer willing to experiment and work in an ambiguous, early stage,

fast-changing environment

● Excited to innovate and solve challenging problems from first principles

● 9+ years of experience across data science, machine learning and deep learning

with a track record of experimenting and building scalable solutions

● Strong understanding of common AI/ML libraries and frameworks such as PyTorch,

TensorFlow, Numpy, Scikit Learn etc.

● Strong programming knowledge in languages such as Java, Python or Scala

● Experience with cloud platforms such as AWS or Azure and some familiarity with big

data technologies such as Spark

● Bachelors / Masters degree program in Computer Science Engineering or

associated programs (Data Science, AI/ML etc.)

● Experience in the marketing technology domain or experience with image or video

models will be an added advantage

Responsibilities:

• Spearheaded building of the new transformation backend platform from 0 to 1
• Design the software for all its stakeholders - its end-users, developers, technical and product support, and DevOps.
• Evaluate technical/architectural options and tradeoffs.
• Implement proof-of-concepts. Hands-on.
• Create a solutions/design pattern library for similar problems and advocate for them.
• Provide technical leadership and guide development teams.
• Set up best practices for design, coding, testing, security, monitoring, and release management.
• Interface with cloud, and customers' technical teams.
• Measuring and constantly improving developer productivity.
• Work with product managers to build application extensibility into design.
• Occasional project management is when a project is more technical-focused.
• Occasional people management in the absence of other senior leaders.

Requirements:

• Experience in backend multiple stacks like Python, Golang, and Node.
• Proven experience with full development life cycle for large-scale software products.
• Clear communication, decision-making, understanding, and explaining trade-offs.
• Engineering best practices - code quality, testability, security, and release management.
• Good knowledge of performance, scalability, software architecture, and networking.
• Capacity to think in abstract and also obsess about details.
• Experience designing microservices architecture.
• Strong bent on engineering culture and focused on improving the developer experience.
• Self-managed and motivated.
• Capacity to break complex problems and work on abstract problems.

Required Skills:

• Must have experience on VC++ / C++ application programming, Visual Studio.
• Should have thorough knowledge in OOPS (Object-Oriented Programming) concept.
• Should have a strong technical background on Windows or Linux
• Should be familiar with MFC, STL, COM, Multi-threading, Socket programming, Data structures.
• Candidates with Financial domain /capital market experience would be an added advantage.

Write “clean”, well-designed code

Proven minimum 4 year Magento ,design and development.

 Produce detailed specifications

 Design and develop and maintain Laravel Vue based website and ensure strong

optimization and functionality

 Contribute in all phases of the development lifecycle

 Follow best practices for development.

 Design and develop new modules for magento 2.x if necessary.

Skills Required:

 Experience with web technologies HTML5, CSS3, jQuery, AJAX, SASS,LESS etc .

Notice Period - Immediate or 10 -15 days

Write “clean”, well-designed code

Proven minimum 2 year Magento ,design and development.

 Produce detailed specifications

 Design and develop and maintain Laravel Vue based website and ensure strong

optimization and functionality

 Contribute in all phases of the development lifecycle

 Follow best practices for development.

 Design and develop new modules for magento 2.x if necessary.

Skills Required:

 Experience with web technologies HTML5, CSS3, jQuery, AJAX, SASS,LESS etc .

Notice Period - Immediate or 10 -15 days

We are looking for someone who can adapt evolving strategic priorities across various growth phases. The responsibilities will evolve with time but will broadly include:

● Strategy & Vision: Understand the company’s business and research goals and plan

for AI exploration and implementation accordingly

● Research & Innovation:

○ Review state-of-the-art research and experiment with new models,

algorithms, architectures - around agentic AI, recommendation /

personalisation models and agent based marketing modeling / simulation

○ Stay updated with the latest advancements in the field of AI

● Solution development:

○ Lead development of practical, scalable and reliable AI solutions for our

customers

○ Lead model development, training and fine-tuning of both Gen AI a

traditional AI models

● Data strategy & management: Formulate and execute strategy to source, ingest

and process critical data to feed our research projects and AI/ML solutions

● Team Building: Participate in building out the rest of our research and engineering

team

● Experience -

○ 2+ years of experience in machine learning, deep learning or applied

research (academic or industry)

○ Experience with recommendation models (such as DeepFM, DLRM and

others), personalisation or reinforcement learning models

○ Understanding of common AI/ML libraries and frameworks such as PyTorch,

TensorFlow, Numpy, Scikit Learn etc.

○ Programming knowledge in languages such Python or Scala

○ Experience with image/video models would be an added advantage

○ Experience with any marketing specific modeling techniques also a pl

● Mindset -

○ Resourceful, willing to experiment and work in an ambiguous, early stage,

fast-changing environment

○ Excited to innovate and solve challenging problems from first principal

○ Masters degree program in Computer Science, ECE or associated programs -

Data Science, Statistics, AI/ML etc. PhD is a plus, but not mandatory

○ Strong foundation in Mathematics & Statistics

○ Publications in AI/ML or related field

○ 2+ years of experience in machine learning, deep learning or applied

research (academic or industry)

○ Experience with recommendation models (such as DeepFM, DLRM and

others), personalisation or reinforcement learning models

○ Understanding of common AI/ML libraries and frameworks such as PyTorch,

TensorFlow, Numpy, Scikit Learn etc.

○ Programming knowledge in languages such Python or Scala

○ Experience with image/video models would be an added advantage

○ Experience with any marketing specific modeling techniques also a plus

10–18 years in the tech industry, with 2–4 years in technical leadership or

managerial roles.

● Technical Expertise: Expertise in C++ development, enterprise architecture, and

scalable system design, and proficiency in performance optimization, scalability,

software architecture, and networking principles.

Extensive experience managing the full development lifecycle of large-scale software

products, from concept to deployment.

● Strong knowledge of STL containers, multi-threading concepts, and algorithms.

Solid understanding of memory management and efficient resource utilization.

● Microservices Architecture Expertise: Experience in designing and implementing

scalable, reliable microservices.

● Strong Communication & Decision-Making Skills: Ability to clearly articulate

trade-offs, make informed decisions, and ensure alignment across stakeholders.

● Commitment to Creating and fostering Engineering Excellence: Deep

understanding of best practices, including code quality, testability, security, and

release management, and passion for fostering a strong engineering culture and

continuously improving developer workflows and tools.

● Self-Driven and Motivated: Ability to operate independently while driving impactful

results.

Key responsibilities include:

● Technical Expertise: :

○ C++ coding and debugging to strengthen and optimize systems.

○ Design and architecture (HLD/LLD) to ensure scalable and robust solutions.

○ Implementing and enhancing DevOps, Agile, and CI/CD pipelines to

improve development workflows.

○ Managing escalations and ensuring high-quality customer outcomes.

● Architecture & Design:

○ Define and refine the architectural vision and technical roadmap for enterprise

software solutions.

○ Design scalable, maintainable, and secure systems in line with business

goals.

○ Collaborate with stakeholders to translate requirements into technical

solutions.

○ Driving engineering initiatives to foster innovation, efficiency, and excellence.

● Project Management:

○ Oversee project timelines, deliverables, and quality assurance processes.

○ Coordinate cross-functional teams to ensure seamless integration of systems.

○ Identify risks and proactively implement mitigation strategies.

● Technical Leadership:

○ Lead and mentor a team of engineers, fostering a collaborative and high-

performance culture.

○ Provide technical direction and guidance on complex software engineering

challenges

○ Drive code quality, best practices, and standards across the engineering

team.

Title: Senior Software Architect,

Required experience: 8+ yrs. Multiple projects on different stacks.

- Proven experience with full development life cycle for large-scale software products

- Clear communication, decision-making, understanding and explaining trade-offs

- Engineering best practices - code quality, testability, security, release management

- Good knowledge of performance, scalability, software architecture, networking

- Capacity to think in abstract and also obsess about details

- Experience designing microservices architecture

- Strong bent on engineering culture and focused on improving the developer experience

- Self-managed and motivated

- Capacity to break complex problems and work on abstract problems

. Exposure to Capital Market is mandatory.

Proven experience with complete product life cycle

- Deep understanding of software development life cycle and software teams.

- Experience with Software/Platform as a service, APIs, Integration,

- Experience working with regulators,

- Clear communication, decision-making, understanding and explaining decisions and

trade-offs

- Capacity to break complex problems and work on abstract problems

- Discipled, self-managed, ownership, and motivated