Operations Manager

Education:

•Bachelor’s degree in Computer Science, Data Science, Information Technology or a related field

•Relevant certifications in data engineering or AI/cloud platforms (preferred)

Experience:

•8+ years of experience in AI platform architecture, deployment, and optimization, ideally within large-scale telecom environments

•Strong background in designing enterprise-scale AI platforms integrating with IT and cloud environments

•Hands on experience in AI platform development, API management, or MLOps practice

•Experience of working in a dynamic, fast-paced environment

Skills :

•Proficiency in AI and machine learning frameworks (TensorFlow, PyTorch, Keras)

•Proficient with public cloud platforms (AWS, Azure, Google Cloud) for AI and telecom solutions

•Experience in containerization and orchestration tools (e.g. : Docker, Kubernetes) for AI deployment

•Strong understanding of telecom networks (5G, IoT, edge computing) and how AI can optimize them

•In-depth Knowledge of security protocols in AI and telecom, including data privacy, encryption, and secure access management

Job Requirement :

• 3-5 Years of experience in Data Science
• Strong expertise in statistical modeling, machine learning, deep learning, data warehousing, ETL, and reporting tools.
• Bachelors/ Masters in Data Science, Statistics, Computer Science, Business Intelligence,
• Experience with relevant programming languages and tools such as Python, R, SQL, Spark, Tableau, Power BI.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
• Ability to think strategically and translate data insights into actionable business recommendations.
• Excellent problem-solving and analytical skills
• Adaptability and openness towards changing environment and nature of work
• This is a startup environment with evolving systems and procedures, the ideal candidate will be comfortable working in a fast-paced, dynamic environment and will have a strong desire to make a significant impact on the business.

Job Roles & Responsibilities:

• Conduct in-depth analysis of large-scale datasets to uncover insights and trends.
• Build and deploy predictive and prescriptive machine learning models for various applications.
• Design and execute A/B tests to evaluate the effectiveness of different strategies.
• Collaborate with product managers, engineers, and other stakeholders to drive data-driven decision-making.
• Stay up-to-date with the latest advancements in data science and machine learning.

Responsibilities:

• Responsible for generating revenue through the sale of sponsorship packages for conferences by targeting various companies, organizations and associations.
• Strategic research to understand the relevant market and business challenges aligned with the subject area of each event and develop a list of potential sponsors for each conference.
• Utilize telephone solicitation, electronic and written correspondence and face-to-face meetings as tools to meet and exceed the budgeted sponsorship target for each conference.
• Engaging with clients on the phone and developing lasting relationships.
• Working with the marketing department to convert inbound sales enquiries into leads.
• Oversight of the full sales cycle of each event, managing baseline business metrics and growth targets.
• Attend daily/weekly sales update meetings and conference planning meetings as required.
• Achieving monthly and overall revenue targets.

Requirements:

• Minimum 1 to 2 years of experience in Business Development.
• Excellent verbal and written communication.
• Experience in market research and lead generation.
• Bachelor's degree in Mass Communication or other relevant field.

Job Type:

• Full time & On-site
• 5 day work week

• Location: Kormangala, Bangalore

About the Role:

We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.

Key Responsibilities:

Cloud Management:

• Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
• Ensure high availability, scalability, and security of cloud resources.

Containerization & Orchestration:

• Develop and manage containerized applications using Docker.
• Deploy, scale, and manage Kubernetes clusters.

CI/CD Pipelines:

• Build and maintain robust CI/CD pipelines to automate the software delivery process.
• Implement monitoring and alerting to ensure pipeline efficiency.

Version Control & Collaboration:

• Manage code repositories and workflows using Git.
• Collaborate with development teams to optimize branching strategies and code reviews.

Automation & Scripting:

• Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
• Write scripts to optimize and maintain workflows.

Monitoring & Logging:

• Implement and maintain monitoring solutions to ensure system health and performance.
• Analyze logs and metrics to troubleshoot and resolve issues.

Required Skills & Qualifications:

• 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
• Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
• Hands-on experience building and managing CI/CD pipelines.
• Proficient in using Git for version control.
• Experience with scripting languages such as Bash, Python, or PowerShell.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Solid understanding of networking, security, and system administration.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and teamwork skills.

Preferred Qualifications:

• Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with serverless architectures and microservices.

• Should have 5+ hardcore experience in Android Mobile App development
• Proficient in Kotlin, Android SDK with Location tracking, Route map, Google Map/ Voice API Integration, Regional language support etc.
• Understanding of design patterns and mobile architecture using frameworks such as MVVM / MVC / MVP.
• Familiarity with RESTful APIs and integration and code versioning tools such as Git.
• Problem solver with good analytical skills.
• Passion to work in dynamic, start-up environment.
• Compensation best in the industry

Responsibilities

• Build and mentor the platform team at Checko.
• Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
• Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
• Entrepreneurial and out-of-box thinking essential for a technology startup
• Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability

Requirements

• Must have design, development, testing, deployment of systems capable of handling massive amounts of requests with high reliability and scalability
• Must have strong command in writing production-level code in Java or Python including skills in debugging, performance analysis/optimization and memory usage optimization
• Must have worked with real-time web/mobile applications and event-driven architectures
• Must have experience working with relational and non-relational databases and understanding their data models and performance tradeoffs.
• Must have solid engineering principles and a clear understanding of data structures and algorithms
• Should have knowledge of service-oriented architecture, caching techniques, micro-services, and distributed systems
• Should have basic understanding of C++/reactJS/Angular/Node

Desired Skills and Experience

Algorithms, debugging, performance optimization on low-end processors, data structures, REST, service-oriented architecture.