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We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

• Bachelor’s degree in computer science, Web Development, or a related field (or equivalent practical experience).
• Minimum of 4 to 8 years of professional experience in Java

development.

• Strong proficiency in Java and object-oriented programming.
• Minimum of 4 years of experience in building microservices with Spring Boot.
• Solid understanding of RESTful APIs and experience with API design and integration.
• Strong problem-solving skills and the ability to think critically.

∙Primary Skills: Life Insurance and Annuity domain knowledge 

∙Secondary Skills: Functional testing knowledge, Functional test design. Insurance domain 

knowledge 

∙Analyze life insurance processes and translate them into functional specifications. Act as a 

liaison between business users and technical teams to ensure alignment. Conduct gap analysis, 

impact assessments, and support solution design. Participate in system testing, UAT support, and 

user training. 

∙Policy Administration: Develop and implement policies to ensure efficient and effective 

management of life insurance and annuity products. 

∙Claims Handling: Collaborate with clients to resolve claims in a timely and fair manner. 

∙Agent Compensation: Work with agents to establish compensation structures that incentivize 

sales and customer satisfaction. 

∙Consulting Engagements: Partner with clients on various consulting projects, providing expertise 

and guidance on life insurance administration. 

∙Application Enhancement Requirements: Define and prioritize requirements for application 

enhancements to improve the overall user experience. 

∙Automation: Explore opportunities for automation to streamline processes and increase 

efficiency. 

∙Training and Mentoring: Provide training and support to less experienced team members to 

ensure knowledge sharing and skill development. 

∙Automation frameworks and reporting tools.  

∙Writing, executing, monitoring and maintenance of automated test suites. 

∙CI/CD tools knowledge and Agile process 

∙Database- MySQL, Oracle 

We are seeking a skilled Full-stack developer. As a Full-stack developer, you will collaborate with an international cross-functional teams to design, develop, and deploy high-quality software solution.

Responsibilities:

Design, develop, and maintain the application.

Write clean, efficient, and reusable code.

Implement new features and functionality based on business requirements.

Participate in system and application architecture discussions.

Create technical designs and specifications for new features or enhancements.

Write and execute unit tests to ensure code quality.

Debug and resolve technical issues and software defects.

Conduct code reviews to ensure adherence to best practices.

Identify and fix vulnerabilities to ensure application integrity.

Working with the product owner to ensure seamless integration of user-facing elements.

Collaborating with DevOps teams for deployment and scaling.

Requirements:

Bachelor’s degree in computer science or information technology, or a related field.

Proven experience as a skilled Full-stack developer. Experience in Insurance domain is appreciated.

Excellent problem-solving and debugging skills.

Strong communication and collaboration abilities to work effectively in a team environment.

Strong experience with Spring Boot 3, Java 17 or newer and Maven.

Skills & Requirements

Angular 18+, GitHub, IntellJ IDEA, Java 11+, Jest, Kubernetes, Maven, Mockito, NDBX/ng-aquila, NGRX, Spring Boot, State Management, Typescript, Playwright, PostgreSQL, Sonar, Swagger, AWS, Camunda, Dynatrace, Jenkins, Kafka, NGXS, Signals, Taly.

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

Responsibilities:

• Build and scale production infrastructure in AWS for the HappyFox platform and its products.
• Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
• Implement consistent observability, deployment and IaC setups
• Patch production systems to fix security/performance issues
• Actively respond to escalations/incidents in the production environment from customers or the support team
• Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
• Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
• Participate in infrastructure security audits

Requirements:

• At least 5 years of experience in handling/building Production environments in AWS.
• At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
• Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
• Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
• Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
• Experience in setting up and managing test/staging environments, and CI/CD pipelines.
• Experience in IaC tools such as Terraform or AWS CDK
• Passion for making systems reliable, maintainable, scalable and secure.
• Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
• Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.

About the team

Vakilsearch is on a mission to make Legal Simple. We are the leaders in Indian Legal, Tax and Compliance. Our mission is simplifying businesses to be in compliance with Government through end to end process and workflow automation. This is the key initiative of Vakilsearch as we look to revolutionize legal space in India.

We are a technology-driven platform, offering services that cover the legal needs of start-ups and established businesses. Some of our services include incorporation, government registrations & filings, accounting, documentation and annual compliances. In addition, we offer a wide range of services to individuals, such as property agreements and tax filings. Our mission is to provide one-click access to individuals and businesses for all their legal and professional needs.

• Strong proficiency with JavaScript
• Strong knowledge in JavaScript Object Oriented Programming
• Strong Knowledge of Node.js and frameworks such as Express
• Good Understanding of the nature of asynchronous programming model
• Good Understanding of callbacks and event emitters
• Good Experience in Node.js Module/Library development
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Proficient understanding of code versioning tools, such as Git
• Working experience with MongoDB or equivalent nosql data store

• Hands on experience in AWS provisioning of AWS services like EC2, S3,EBS, AMI, VPC, ELB, RDS, Auto scaling groups, Cloud Formation.
• Good experience on Build and release process and extensively involved in the CICD using

Jenkins

• Experienced on configuration management tools like Ansible.
• Designing, implementing and supporting fully automated Jenkins CI/CD
• Extensively worked on Jenkins for continuous Integration and for end to end Automation for all Builds and Deployments.
• Proficient with Docker based container deployments to create shelf environments for dev teams and containerization of environment delivery for releases.
• Experience working on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
• Good knowledge in version control system in Git and GitHub.
• Good experience in build tools
• Implemented CI/CD pipeline using Jenkins, Ansible, Docker, Kubernetes ,YAML and Manifest

• 8+ years of experience in Product Development especially in Healthcare Domain
• Technical project managers are tasked with managing projects with top-down oversight from inception to completion
• They must also develop project plans that meet client needs
• Decent Communication Skills and quick in understanding the tasks
• Coordinate with technical team members at all stages of the project