Digital sales Intern

Who we are looking for

· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

· Mentor and coach other team members

· Evaluate the performance of NLP models and ideate on how they can be improved

· Support internal and external NLP-facing APIs

· Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

·       Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioural Skills

· Strong analytical and problem-solving capabilities.

· Proven ability to multi-task and deliver results within tight time frames

· Must have strong verbal and written communication skills

· Strong listening skills and eagerness to learn

· Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

· NLP

· Deep Learning

· Machine Learning

· Python

· Bert

Preferred Requirements

· Experience in Computer Vision is preferred

Role: Data Scientist

Industry Type: Banking

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Job description

The ideal candidate must have extensive development experience of microservices using Java Spring Boot. In addition, they should know the installation, configuration, platform operations, and troubleshooting of API products. Besides, they should also have experience in API design, BaaS, Advanced proxies, Analytics, Developer Portal, and creating RESTful API patterns.

Responsibility

Develop and design RESTful microservices and APIs

Be involved in the development life cycle and would be doing definition and feasibility analysis

Apply latest software design techniques and contribute to the technical design of new solutions

Troubleshoot issues and solve problems where needed

Write object-oriented and maintainable code

Deliver quality results on time with minimal supervision

Work with multiple stakeholders involved in the project

Deliver APIs with standard documentation as per Open API standards

Skillset

Bachelor’s/Master’s degree in computer science, information technology, or engineering

At least 3-5+ years of experience in developing APIs and microservices using Spring Boot

Expertise in Java

Hands-on Experience in OOPS concepts, Spring Boot, Spring 3.x, Spring Dependency Injection (IOC, MVC, JDBC, JMS, etc.), and hibernate or any other ORMs

Hands-on experience in web services-RESTful

Knowledge of Restful API design patterns

Working knowledge in Databases (SQL Server, Oracle) and SQL

Hands-on experience in NGINX (Webserver and Reverse proxy)

Hands-on experience in setting up MTLS between microservices

Hands-on experience in docker implementation

Hands-on experience in consuming SOAP services from microservices

Hands-on experience in application servers like Tomcat and WebLogic

Hands-on experience in any of Java IDE (Eclipse, IntelliJ)

Hands-on experience in dependency and build management tools preferably Maven

Familiarity with code versioning tools, like Git, SVN, and Mercurial

Familiarity with APIGEE API gateway

Familiarity with Node.js

Onsite - Bahrain

Job Title: Data Engineer

Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.

Responsibilities:

• Design, build, and maintain data pipelines to collect, store, and process data from various sources.
• Create and manage data warehousing and data lake solutions.
• Develop and maintain data processing and data integration tools.
• Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
• Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
• Ensure data quality and integrity across all data sources.
• Develop and implement best practices for data governance, security, and privacy.
• Monitor data pipeline performance / Errors and troubleshoot issues as needed.
• Stay up-to-date with emerging data technologies and best practices.

Requirements:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Experience with ETL tools like Matillion,SSIS,Informatica

Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.

Experience in writing complex SQL queries

Strong programming skills in languages such as Python, Java, or Scala.

Experience with data modeling, data warehousing, and data integration.

Strong problem-solving skills and ability to work independently.

Excellent communication and collaboration skills.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks

Familiarity with cloud computing platforms such as AWS, Azure, or GCP.

Familiarity with Reporting tools

Teamwork/ growth contribution

• Helping the team in taking the Interviews and identifying right candidates
• Adhering to timelines
• Intime status communication and upfront communication of any risks
• Tech, train, share knowledge with peers.
• Good Communication skills
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude

Good to have :

Master's degree in Computer Science, Information Systems, or a related field.

Experience with NoSQL databases such as MongoDB or Cassandra.

Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.

Knowledge of machine learning and statistical modeling techniques.

If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.

•  Polished verbal and written communication style.
• Ability to confidently build a strong rapport with customers and internal stakeholders.
• Comfortable in interacting with and presenting to executives and senior leadership.
• Lead and develop the organization with regard to competence, professionalism and streamlined processes Expand the customer base and acquire profitable Business
• Responsible for key account relationship with key customers in the region.
• Excellent presentation and documenting skills
• A team worker with good interpersonal skills
• Ability to work under pressure and to make decisions under UN-predictable situation and think outside the box to make it simpler