OPENSHIFT ENGINEER

1. Manage and support LAN/WAN infrastructure including routers, switches, firewalls, and load balancers.

2. Monitor network performance and ensure system availability and reliability.

3. Troubleshoot network issues and outages.

4. Implement security tools, policies, and procedures.

5. Maintain documentation of configurations, diagrams, and procedures.

1. Strong hands-on experience with Cisco, Juniper, or similar network equipment.

2. Familiarity with network monitoring tools (e.g.. SolarWinds, Wireshark).

3. Basic understanding of firewall and VPN configurations.

4. CCNA or equivalent certification preferred.

🌍 We’re Hiring: AI Success & Solutions (Lead / Manager / Director) | Remote | Full-time

Are you passionate about bridging AI technology with real business impact?

Do you enjoy working customer-facing, driving solution delivery, and ensuring measurable outcomes?

We’re looking for specialists in AI Success & Solutions to lead end-to-end delivery of enterprise AI projects. This role blends Solutions Architecture with Customer Success, partnering with clients to turn AI capabilities into tangible business value.

What You’ll Do:

🔹 Partner with Sales & Data Science to understand client challenges and define success criteria

🔹 Design solution architecture and data pipelines tailored to each use case

🔹 Own post-sale execution: manage projects, facilitate deployment, and track measurable outcomes

🔹 Ensure operational excellence with documentation, version control, and team coordination

🔹 Identify growth opportunities and act as a trusted strategic advisor to clients

What We’re Looking For:

✔️ 6+ years in hybrid technical + customer-facing roles (Solutions Architect, Customer Success, Engagement Manager)

✔️ Experience with applied Data Science, ML, GenAI (LLM prompting, RAG)

✔️ Proven ability to deliver AI or data-driven solutions in consulting or startup environments

✔️ Excellent storytelling and business value articulation for technical and executive audiences

✔️ Strong project management, ownership, and attention to detail

✔️ Global client experience preferred; professional fluency in English required

✨ Why Join Us:

• Drive measurable impact for Fortune 500 customers worldwide
• Be part of a category-defining AI company bridging agents and experts
• Own strategic accounts end-to-end and shape modern AI success
• Work with a high-performance, cross-functional team
• Globally competitive compensation & benefits

Executive - AR:-

 • Average ability on calling, spoken and written English with moderate medical billing knowledge. 

• Should be able to work independently with minimal supervision, on moderate and complex tasks with guidance from supervisors 

• Should be a team player and collaborate in solving the issues and problems. 

Roles & Responsibilities: 

• Ability to talk to insurance companies & check online for outstanding payments and document the conversation/ findings on patient account and assigned WP as per the standardization protocol with required accuracy. 

• Willingness to work in the night shift 

• Meet Compliance requirements like HIPPA etc. 

• Meet QMS and ISMS requirements 

• Meet productivity and quality standards.

Sr. Executive - AR:-

• Above average calling, spoken and written English skills, high medical billing knowledge 

• Should work independently, and with minimal supervision, on complex tasks with guidance from supervisors 

• Should be a team player and collaborate in solving the issues 

Roles & Responsibilities: 

• Ability to analyze a claim and talk to insurance companies & check online for outstanding payments and take necessary action, so that the claim is closed 

• Mentor and guide team members 

• Willing to work in Night shifts 

• Ensure required quality standards.

Analyst - AR:-

• Offers solutions, suggestions & improvements and also help on client specific reports to their immediate supervisor 

• Should be a team player, mentor the trainees and collaborate in solving the issues and problems 

Roles & Responsibilities: 

• Should have the ability to identify global issues, root cause of the problem and take corrective and systemic actions. 

• Ensure required quality standards. 

• Clear the rejections 

• Check whether the response is received in a timely manner 

• Check process dashboard on time; if any rejection found 

• Generate Insurance Collection summary report grouping by Insurance and sub-grouping. 

• Work on the denial bucket claims 

• Resolve the denied claims 

Sr. Analyst - AR:-

• Capable of handling minimum team of 5-10 

• Identify the global issues proactively and offer resolutions and recommendation to eradicate from reoccurring. 

• Should be able to mentor the team members 

• Ability to generate client specific reports and assist immediate supervisor on day to day operational needs. 

• Exceed individual productivity and quality standards as per org policy. 

• Assist team to achieve the minimum productivity and quality benchmark. 

• Should be a team player and collaborate in solving the issues and problems. 

Roles & Responsibilities: 

• Should have the ability to identify global issues, root cause of the problem and take corrective and systemic actions. 

• Ensure required quality standards. 

• Clear the rejections 

• Check whether the response is received in a timely manner 

• Check process dashboard on time; if any rejection found 

• Generate Insurance Collection summary report grouping by Insurance and sub-grouping. 

• Work on the denial bucket claims 

• Review EOB, post the denials and take appropriate action on the denials. 

• Resolve the denied claims.

• Excellent working knowledge of OOPs, SOLID principles and different design patterns.
• Solid hands on experience and deep understanding of different architectures.
• Solid working knowledge of Objective C and Swift, iOS application development and iOS fundamentals.
• Proficient with general swift language features, collections, protocol oriented programming, etc.
• Hands on experience of implementing architecture patterns and designing/implementing unit test cases using XCTest & other third party libraries.
• Solid working experience of debugging, profiling tools, developer portal and App Store release process.
• Excellent analytical and problem solving skills.

POSITION: JAVA

EXPERIENCE: 3YRS-10YRS

LOCATION: BANGALORE

NOTICE PERIOD: IMMEDIATE JOINER/15 DAYS

WORK FROM OFFICE

JOB DESCRIPTION:

EXPERIENCE : 3 -10 YEARS EXPERIENCE IN JAVA

TECHNOLOGY/SKILLS : JAVA , HIBERNATE , MYSQL , MICROSERVICES, REST API

• 💰  Early-stage, ed-tech, funded, growing, growing fast.
• 🎯  Mission Driven: Make Indonesia competitive on a global scale.
• 🥅  Build the best educational content and technology to advance STEM education 
• 🥇  Students-First approach

• ❤️  Love what we do
• 🎮  Committed to making learning fun, accessible, and safe 
• 🤝  Teams are better. We value ownership, responsibility, transparency
• 🌏  Global, diverse backgrounds. Been there, done that.

• CoLearn has grown so much, and you’ve been an important part of the growth. You solved hard problems that many didn’t know existed.
• You’ve led the data science function and laid out the roadmap, implemented best practices, and grown the team. You’ve executed mission-critical projects. Congratulations!
• You’re exploring what Data Science can do for the students, parents, teachers, educators.
• You’ve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
• The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. It’s their second nature.
• You have an encyclopedic knowledge of CoLearn’s data structures and metrics, and you’ve often provided key ideas for the product.

• Highly-skilled and experienced Data Scientist and leader
• You are interested in creating next-gen data-powered education tech products. 
• You’ve worked in a Data Science role before where you took a data product to market
• You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
• You’ve built platforms and systems from scratch
• You have a track record of developing and deploying data-science models to production

• End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps) — with both structured and unstructured data.
• Deep Learning and Computer Vision models, ideally in a production environment
• Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc. 
• Experience in Scala/Java/Go/C/C++ is a plus plus
• Airflow/Luigi/Oozie and the likes
• Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale

• B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
• 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
• Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teams 
• Experience developing a data science strategy, building the roadmap, and leading the execution
• Track record of recruiting talent in analytics and data science

• You’ve won algorithm and machine learning competitions such as ACM and Kaggle
• You have research publications and citations in top tier journals 
• You have a portfolio of side projects and can show it to us