CoFounder - Business

About the Role

We are seeking a highly skilled and experienced AI Ops Engineer to join our team. In this role, you will be responsible for ensuring the reliability, scalability, and efficiency of our AI/ML systems in production. You will work at the intersection of software engineering, machine learning, and DevOps— helping to design, deploy, and manage AI/ML models and pipelines that power mission-critical business applications.

The ideal candidate has hands-on experience in AI/ML operations and orchestrating complex data pipelines, a strong understanding of cloud-native technologies, and a passion for building robust, automated, and scalable systems.

Key Responsibilities

• AI/ML Systems Operations: Develop and manage systems to run and monitor production AI/ML workloads, ensuring performance, availability, cost-efficiency and convenience.
• Deployment & Automation: Build and maintain ETL, ML and Agentic pipelines, ensuring reproducibility and smooth deployments across environments.
• Monitoring & Incident Response: Design observability frameworks for ML systems (alerts and notifications, latency, cost, etc.) and lead incident triage, root cause analysis, and remediation.
• Collaboration: Partner with data scientists, ML engineers, and software engineers to operationalize models at scale.
• Optimization: Continuously improve infrastructure, workflows, and automation to reduce latency, increase throughput, and minimize costs.
• Governance & Compliance: Implement MLOps best practices, including versioning, auditing, security, and compliance for data and models.
• Leadership: Mentor junior engineers and contribute to the development of AI Ops standards and playbooks.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• 4+ years of experience in AI/MLOps, DevOps, SRE, Data Engineering, or with at least 2+ years in AI/ML-focused operations.
• Strong expertise with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
• Hands-on experience with ML pipelines and frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.).
• Proficiency in Python and/or other scripting languages for automation.
• Familiarity with monitoring/observability tools (Prometheus, Grafana, Datadog, ELK, etc.).
• Deep understanding of CI/CD, GitOps, and Infrastructure as Code (Terraform, Helm, etc.).
• Knowledge of data governance, model drift detection, and compliance in AI systems.
• Excellent problem-solving, communication, and collaboration skills.

Nice-to-Have

• Experience in large-scale distributed systems and real-time data streaming (Kafka, Flink, Spark).
• Familiarity with data science concepts, and frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Full Stack Development knowledge to collaborate effectively across end-to-end solution delivery
• Contributions to open-source MLOps/AI Ops tools or platforms.
• Exposure to Responsible AI practices, model fairness, and explainability frameworks

Why Join Us

• Opportunity to shape and scale AI/ML operations in a fast-growing, innovation-driven environment.
• Work alongside leading data scientists and engineers on cutting-edge AI solutions.
• Competitive compensation, benefits, and career growth opportunities.

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make

a mark in the trading and fintech industry. If you are looking for just another backend role, this

isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance

driven backend systems, we want you.

What We Expect:

• You should already be exceptional at Golang. If you need hand-holding, this isn’t the place for you.

• You thrive on challenges, not on perks or financial rewards.

• You measure success by your own growth, not external validation.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading

environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What You Will Do:

• Develop and optimize high-performance backend systems in Golang for trading platforms and financial

services.

• Architect low-latency, high-throughput microservices that push the boundaries of speed and efficiency.

• Build event-driven, fault-tolerant systems that can handle massive real-time data streams.

• Own your work—no babysitting, no micromanagement.

• Work alongside equally driven engineers who expect nothing less than brilliance.

• Learn faster than you ever thought possible.

Must-Have Skills:

• Proven expertise in Golang (if you need to prove yourself, this isn’t the role for you).

• Deep understanding of concurrency, memory management, and system design.• Experience with Trading, market data processing, or low-latency systems.

• Strong knowledge of distributed systems, message queues (Kafka, RabbitMQ), and real-time

processing.

• Hands-on with Docker, Kubernetes, and CI/CD pipelines.

• A portfolio of work that speaks louder than a resume.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Contributions to open-source Golang projects.

• A history of building something impactful from scratch.

• Understanding of FIX protocol, WebSockets, and streaming APIs.

Why Join Us?

• Work with a team that expects and delivers excellence.

• A culture where risk-taking is rewarded, and complacency is not.

• Limitless opportunities for growth—if you can handle the pace.

• A place where learning is currency, and outperformance is the only metric that matters.

• The opportunity to build systems that move markets, execute trades in microseconds, and redefine

fintech.

This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.

Company Description

KGISL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGISL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.

Role Description

This is a full-time on-site role for an Assistant Professor in the Computer Science and Engineering (CSE) department. Located in Coimbatore, the Assistant Professor will be responsible for teaching undergraduate and graduate courses, guiding student projects, and conducting research. Day-to-day tasks will include preparing lecture materials, evaluating student performance, mentoring students, and participating in faculty meetings. The role also involves contributing to curriculum development and engaging in departmental activities.

Qualifications

Strong knowledge in Computer Science and Engineering subjects

Experience in teaching at the undergraduate and graduate levels

Research skills and the ability to guide student projects

Excellent written and verbal communication skills

Proficiency in curriculum development and academic assessment

Master's degree in Computer Science, Engineering, or a related field

Experience in the use of digital tools and teaching technologies is an advantage

Commitment to continuous improvement and professional development

Primary Responsibilities

1. Design and implement front-end & back-end services with high reliability and scalability
2. Contribute to system architecture and database design
3. Do high-level design with guidance and break down a complex system into simpler modules that can be reused
4. Be involved and participate in the overall application lifecycle
5. Learn about new technologies and incorporate them

What Are We Looking For?

1. Hands-on experience with Javascript frameworks like ReactJS / ExpressJS / NodeJS. Databases like MySQL / MongoDB and REST API is a must-have skill.
2. Proficient in object-oriented design skills, knowledge of design patterns, and huge passion and ability to design intuitive modules.
3. Experience building at least one application from scratch
4. Interest in learning new languages/frameworks as needed.
5. Worked in a startup environment.
6. A growth mindset and passionate about building things from the ground up.

Instructional Designer (Full time, Permanent WFH, Flexible Timing)

What you will do at Xclaymation:

• Should showcase core competencies in LMS, SCORM and other authoring tools and actively apply them on a day-to-day basis.
• Be on the lookout regularly on how to give the best makeovers to drab information that captivates people and holds them in place for a few seconds more.
• Develop e2e LMS modules from conceptualization to support.
• Attend regular meetings with our clients and understand their needs and specifications to better cater the modules to them.
• Be part of a team that doesn’t believe in managers and hierarchies, but in collaborative functioning and reap the benefits of flex hours.

Skills we are looking for -

• Content developer
• eLearning developer
• Training and development associate
• Articulate Storyline

Job Description :

- Collaborate with cross-functional teams to define, design, and ship new features.

- Work with outside data sources and APIs.

- Worked on Dart.js

- Unit-test code for robustness, including edge cases, usability, and general reliability

- Work on bug fixing and improving application performance

- Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Responsibilities And Duties :

- Must have built at least one Android, or iOS, app with Flutter or Hybrid Framework.

1. Experienced iOS Developer with full-time work experience in developing iOS apps for iPhone, iPad, iPod.
2. Should be proficient in Swift and Objective C and use Xcode, Cocoa libraries, and other third-party libraries to develop apps.