HR Operation Executive - Payroll

1. Must have 5 to 7 years of full-cycle recruitment experience.

2. Must have atleast 2 to 3 years of experince in team leading or handling. (should be currently in team lead role and should have experience in handling a team of 9 to 10 members).

3. Must have experience hiring across multiple countries/regions (APAC, EMEA, Americas), ( global hiring experience is required ).

4. Must have experience working in SaaS, tech, or high-growth startup companies.

5. Candidate should have experience in Employee Branding. (preferably in SaaS based companies).

6. Must have hands-on expertise using global job boards (LinkedIn Recruiter, Indeed, JobStreet, Naukri, etc.).

7. Must have strong experience with Applicant Tracking Systems (Greenhouse, Lever, Workable, or similar).

8. Must be able to lead, coach, and manage a global TA team with daily hiring targets.

9. Must be capable of end-to-end hiring for critical and leadership roles across regions.

10. Must have excellent stakeholder management and communication skills across time zones.

11. Must have strong understanding of global talent markets, sourcing trends, and remote hiring practices.

12. Looking for someone who is Young & Dynamic

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 
• Minimum of 3 years of professional experience in developing and deploying AI/ML solutions. 
• Strong proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Transformers.
• Hands-on experience with at least one Python web framework (FastAPI or Flask) for building APIs and backend services.
• Solid understanding of machine learning algorithms, deep learning architectures, and GenAI concepts.
• Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).
• Proven experience working with the Azure cloud platform and its AI/ML and container services.
• Familiarity with data engineering concepts and tools for data processing and preparation.
• Experience with CI/CD pipelines and DevOps practices.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills. 
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with MLOps practices and tools for managing the ML lifecycle. 
• Familiarity with other cloud platforms (e.g., AWS, GCP).
• Experience with specific AI/ML application domains (e.g., NLP, computer vision, time series analysis).
• Contributions to open-source AI/ML projects.
• Relevant certifications in AI/ML or cloud technologies.

The tech stack looks like the below (expect this to change as we scale):

1. Typescript for APIs (REST and GraphQL)
2. Kafka, Spark, and data warehouses for ML pipelines (spark on python/scala)
3. Solidity + hardhat for smart contracts (in the future, rust, go and move)
4. AWS & Terraform
5. Full nodes

You can expect to do some or all of the following:

1. Read through protocols’ whitepapers and smart contracts to derive metrics and analyze risks
2. Architect the backend for APIs, async jobs, and blockchain integration
3. Build clean, concise APIs for customer integration, along with the documentation
4. Setup, run and maintain full and archive nodes across different chains
5. Integrate with multiple partners like exchanges and custody providers
6. Fool-proof security across the stack - encryption, hashing, privacy, VPC, etc.
7. Infrastructure as code - build terraform scripts and ensure easy replication of the infra across different regions
8. Research the top DeFi protocols to uncover better insights for our customers and evaluate their risk profiles, security, and historical returns
9. Manage production deployments, logging, and monitoring

We expect you to be fairly comfortable with working with both web3 and web2 stacks. We do not expect that you have web3 experience on day 1, but you should be willing to wear multiple hats, learn things quickly and move fast.

1. Generalist, a solid engineer who can learn things on your own and have an eye for clean, tested, and well-documented code
2. We don’t look at the number of years of work experience as a criterion, but rather see what you have done in your life so far (side projects, open-source contributions, blogs, etc.). We don’t care about degrees, the institutions you went to, or the companies you worked for before. We are open to talking as long as you have good judgment, great clarity, align with our values and have a strong track record of thoughtful work
3. Understand the fundamentals of building and integrating APIs and secure systems. Bonus if you know a bit about blockchains and protocols
4. You can be strong on the backend, front-end, or can dabble everywhere. We want you to play to your strengths and will provide enough opportunities to learn and do things outside of your comfort zone

Pay and benefits We offer a solid, competitive package (including early-stage equity) that is location agnostic. We give you the flexibility to choose the split between cash and equity.

• Interacts with Business Process Experts / Owners & Users community to collect business requirements

• Should have a minimum of 5+ years of experience in Implementation of different Kinaxis RapidResponse modules like Supply Planning, Forecasting and Demand Planning, ATP, Aggregate Supply Planning, Capacity Planning, Attribute Based Planning, Sales & Operations Planning