Golang Engineer

Job Summary: We are looking for a proficient PHP Full Stack Developer specializing in Laravel to join our team. The ideal candidate should possess in-depth knowledge and hands-oJob Summary:

We are looking for a proficient PHP Full Stack Developer specializing in Laravel to join our team. The ideal candidate should possess in-depth knowledge and hands-on experience in Laravel framework development, along with proficiency in front-end technologies. You will be responsible for building and maintaining robust web applications, ensuring high performance, and contributing to the entire software development lifecycle.

Responsibilities:

Develop, implement, and maintain scalable web applications using PHP with a focus on Laravel framework.

Design and develop efficient, reusable, and reliable code for both front-end and back-end components.

Collaborate closely with the design and product teams to translate UI/UX design wireframes into functional web applications.

Create and optimize database schemas and queries (MySQL, MongoDB, etc.) for performance and reliability.

Implement and maintain RESTful APIs for seamless integration with front-end interfaces.

Conduct code reviews, debugging, and troubleshooting to maintain code quality, performance, and application stability.

• BE/MTech/MCA/MSc
• 3+yrs Hands on Experience in TSQL / PL SQL / PG SQL or NOSQL
• Immediate joiners preferred*
• Candidates will be selected based on logical/technical and scenario-based testing

Note: Candidates who have attended the interview process with TnS in the last 6 months will not be eligible.

1. Technical Skills Desired:
   1. Experience in MS SQL Server and one of these Relational DB’s, PostgreSQL / AWS Aurora DB / MySQL / Oracle / NOSQL DBs (MongoDB / DynamoDB / DocumentDB) in an application development environment and eagerness to switch
   2. Design database tables, views, indexes
   3. Write functions and procedures for Middle Tier Development Team
   4. Work with any front-end developers in completing the database modules end to end (hands-on experience in parsing of JSON & XML in Stored Procedures would be an added advantage).
   5. Query Optimization for performance improvement
   6. Design & develop SSIS Packages or any other Transformation tools for ETL

1. Functional Skills Desired:
   1. Banking / Insurance / Retail domain would be a
   2. Interaction with a client a

1. Knowledge in a Cloud Platform (AWS / Azure)
2. Knowledge on version control system (SVN / Git)
3. Exposure to Quality and Process Management
4. Knowledge in Agile Methodology

1. Soft skills: (additional)
   1. Team building (attitude to train, work along, mentor juniors)
   2. Communication skills (all kinds)
   3. Quality consciousness
   4. Analytical acumen to all business requirements

THE POSITION:

- 3+ years of relevant experience in designing & implementing scalable, resilient backend microservices

- Expert at any backend programming language (Python/GoLang preferrable) and has exposure to API design and scalable architecture

- Hands-on experience on a couple of RDBMS/NoSQL/In-memory DBs

- Great database modelling skills

- Ability to choose the right algorithm, data-structure, and design pattern for the given problem statement

- Knowledge of any cloud based platform like AWS or GCP and scaling on the go

- Understanding of various application security principles and experience with building applications secure by design

QUALIFICATION:

                - We don't care about which college you are from, if you have the power to convert coffee into code, we got you.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.