We seek a skilled AI Engineer with a background in AI research, machine learning, and data science to join our innovative team! This is an exciting opportunity for an individual with extensive AI experience eager to work on cutting-edge projects, turning research into practical AI applications. You will collaborate with cross-functional teams to design, develop, and implement AI solutions that enhance business operations and decision-making processes.
What We’re Looking For
● Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A PhD in AI or a related discipline is highly desirable.
● Experience:
○ Proven experience in AI research and implementation, with a deep
understanding of both theoretical and practical aspects of AI.
○ Strong proficiency in machine learning (ML), data science, and deep learning techniques.
○ Hands-on experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
○ Experience with data preprocessing, feature engineering, and data
visualization.
○ Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI and ML deployment.
○ Strong analytical and problem-solving skills.
○ Ability to translate AI research into practical applications and solutions.
○ Knowledge of AI model evaluation techniques and performance optimization.
○ Strong communication skills for presenting research and technical details to non- technical stakeholders.
○ Ability to work independently and in team environments.
Preferred Qualifications
● Experience working with natural language processing (NLP), computer vision, or reinforcement learning.
What You’ll Be Doing
● Conduct advanced AI research to develop innovative solutions for business challenges.
● Design, develop, and train machine learning models, including supervised, unsupervised, and deep learning algorithms.
● Collaborate with data scientists to analyze large datasets, identify patterns, and extract actionable insights.
● Work with software development teams to integrate AI models into production environments.
● Leverage state-of-the-art AI tools, frameworks, and libraries to accelerate AI development.
● Optimize AI models for accuracy, performance, and scalability in real-world applications.
● Collaborate closely with cross-functional teams, including product managers, software engineers, and data scientists, to implement AI-driven solutions.
● Document AI research outcomes, development processes, and performance metrics. Present findings to stakeholders in an easily understandable manner.
About OIP Robotics
About
OIP Robotics is an innovative business technology company that was founded on the belief that one company can change the whole face of the insurance business as we know it. OIP Robotics stems from Outsource Insurance Professionals. Our goal is to provide outstanding and innovative tech solutions and services by combining top insurance talent, cultivated within the leading insurance KPO, with top tech talent. We deliver a range of services surrounding full-cycle automation of insurance processes, software development, staff augmentation, and IT support. One of the leading OIPR values is that we look at insurance software with insurance eyes and technology brains. What makes our employees inspired and motivated is working in a safe and agile environment, where everyone's idea is supported and more than welcome.
Tech stack
Candid answers by the company
We are OIP Robotics, a business technology company serving the InsurTech and Insurance area with a highly qualified team that has a keen interest in customer satisfaction. OIP Robotics stems from Outsource Insurance Professionals, the leading outsourcing partner in the E&S Insurance industry with 10 years of experience in the business.
We deliver various services surrounding full-cycle automation of insurance processes, software development, staff augmentation, and IT support. Our goal is to provide outstanding technology solutions and services by combining top insurance talent, cultivated within the leading insurance KPO, with top tech talent.
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Your responsibilities:
● Understand the business context and build high quality code using proven design patterns
● Develop, test and deploy integrations required to meet business requirements
● Carry out unit tests and other quality control mechanisms to inform and validate the code and design
● Utilizing and monitoring cloud infrastructure resources (such as AWS, Azure) efficiently
● Participate in a highly fluid environment applying agile software development principles
● Ensure the coding standards are on-par with the best in the industry
Educational Qualifications:
● Bachelor's or Master’s degree in a quantitative field (e.g. Mathematics, Engineering, Computer Science).
Must have skills:
● 3+ years of work experience with mobile/web development
● Experience in working with either of languages: Go, Java, Scala
● Strong understanding of relational and non-relational databases (MySQL, PostgreSQL, MongoDB,
● Cassandra)
● Strong understanding of Message brokers
● Must have hands on experience in Restful APIs
● Must have a strong foundation of Data structures and Algorithms
● Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions
● or approaches to problems
● Ability to deploy features on a daily basis: should be good at time management and prioritization
● Hands-on experience in CI/CD principles and TDD
● Strong written and verbal English communication skills
Good to have skills:
● Experience in event-driven & asynchronous I/O frameworks
● Exposure to business process and workflow automation
● Working experience in process driven and data intensive business applications
● Experience in working on web infrastructure with React.js and React Native
Professional traits:
● Self-motivated, persistent and “Never Give Up” attitude
● Passion for innovation and adaptability to a lean startup culture
● Ability to work with minimal supervision, independently and / or as a member of a team
By joining our team, you will take part in various projects, assessing software quality by designing and implementing software testing processes. You will take ownership of code quality through exploratory and automated tests. You will hunt bugs, identify issues, report them, and see that they’re dealt with. There are no shortcuts in achieving greatness: It’s a lot of work. But once you’re at the top, you’ll enjoy the view.
Responsibilities:
● Review and analyze requirements, specifications, and technical design
documents, providing timely feedback
● Develop detailed, comprehensive, and well-structured test plans and test cases
● Prioritize and plan testing activities
● Should have mobile automated testing experience
● Identify and report issues found, then verify that issues are resolved
● Perform regression testing
Skills
● Hands-on test automation experience, in a professional software
development environment
● Knowledge of a variety of testing techniques and methodologies
● Demonstrated experience developing test strategies and test execution
● Excellent organization, communication, and interpersonal skills
● Appium for automating Mobile Apps
● Experience working in an Agile/Scrum development team
● Experience with working in a Mobile App application development
environment
● Solid knowledge of SDLC, SQA methodology, and tools
● Writing automation scripts for Mobile Applications for iOS / Android
platforms using Appium
- Core Java: advanced level competency, should have worked on projects with core Java development.
- Linux shell : advanced level competency, work experience with Linux shell scripting, knowledge and experience to use important shell commands
- Rdbms, SQL: advanced level competency, Should have expertise in SQL query language syntax, should be well versed with aggregations, joins of SQL query language.
- Data structures and problem solving: should have ability to use appropriate data structure.
- AWS cloud : Good to have experience with aws serverless toolset along with aws infra
- Data Engineering ecosystem : Good to have experience and knowledge of data engineering, ETL, data warehouse (any toolset)
- Hadoop, HDFS, YARN : Should have introduction to internal working of these toolsets
- HIVE, MapReduce, Spark: Good to have experience developing transformations using hive queries, MapReduce job implementation and Spark Job Implementation. Spark implementation in Scala will be plus point.
- Airflow, Oozie, Sqoop, Zookeeper, Kafka: Good to have knowledge about purpose and working of these technology toolsets. Working experience will be a plus point here.
Job Description:
- Experienced in developing .NET Core, http://asp.net/" target="_blank">ASP.NET MVC, Web applications, WEB /REST APIs with C# Language.
- Proficient in OOP and design Skilled in the use of Structured Query Language (SQL) as a tool for retrieving, updating, inserting, deleting, manipulating, and managing data stored in enterprise databases.
- Strong knowledge of Database concepts and Relational Database Management Systems such as Microsoft SQL.
- Work closely with the other team members to meet the goals.
- Work with Quality Analysts to ensure changes are thoroughly tested before release.
- Communicating project status and timelines to business stakeholders and IT management.
Programming Languages: Perl, Python, java. Perl programming with strong OOPs knowledge.
- UI: HTML, JS
- System: Linux must have – good knowledge and shell scripting experience.
- Prior experience in infrastructure automation, monitoring will definitely help.
Description:
The person in this role:
- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors
- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)
Preferred skills:
Perl
- Shell scripting
- Unix
- Jenkins
Looking candidated from service base or service division of any company.
Minimum Qualification:
- Hands-on working on Java ( {Language understanding - Java 8, Lambdas, Collections, popular frameworks & libraries}, JVM, GC tuning, performance tuning)
- Worked on REST frameworks/libraries like Spring MVC, Spring Boot, Dropwizard, REST Express etc
- Worked on Relational data stores viz. MySQL, Oracle or Postgres
- Worked on Non-relational data stores viz. Cassandra, HBase, Couchbase, MongoDB etc
- Worked on caching infra viz. Redis, Memcached, Aerospike, Riak etc
- Worked on Queueing infra viz. Kafka, RabbitMQ, ActiveMQ etc
2. Extensive expertise in the below in AWS Development.
3. Amazon Dynamo Db, Amazon RDS , Amazon APIs. AWS Elastic Beanstalk, and AWS Cloud Formation.
4. Lambda, Kinesis. CodeCommit ,CodePipeline.
5. Leveraging AWS SDKs to interact with AWS services from the application.
6. Writing code that optimizes performance of AWS services used by the application.
7. Developing with Restful API interfaces.
8. Code-level application security (IAM roles, credentials, encryption, etc.).
9. Programming Language Python or .NET. Programming with AWS APIs.
10. General troubleshooting and debugging.