LXT

Benefits:

• Flexible work

• Weekly payments

• Rapid growth

• Work from anywhere

• Skill development

Education Requirements:

• Bachelor’s Degree or equivalent experience

Experience Requirements:

• 1-2 years of experience

• 3-5 years of experience

• 4-6 years of experience

Other Requirements:

• Professional level written and spoken English

• Familiarity with any of the cloud platforms (Azure, GCP or Amazon)

• Familiarity with CI/CD, containerization, and container orchestration tools

• Familiar with Agile project management methodologies

• Familiarity with the OWASP Top 10 Web Security Vulnerabilities and their mitigation

Responsibilities:

• Design, develop and test new products, while maintaining the existing ones

• Stay up to date with the latest industry trends in software and cloud solutions

• Ensure high code and design quality that fulfills business requirements and good design aspects (scalability, fault tolerance)

• Design and implement solutions to protect against common security vulnerabilities

• Directly involved with the Product team to understand Requirements

Benefits:

• Flexible work

• Weekly payments

• Rapid growth

• Work from anywhere

• Skill development

Education Requirements:

• Bachelor’s degree in computer science, Data Engineering, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in data pipeline design, data transformation, and data integration

Other Requirements:

• Proficiency in programming languages such as Python, SQL, or Scala, and experience with data manipulation libraries and frameworks

• Solid knowledge of data storage and database management systems, including relational and NoSQL databases

• Familiarity with data visualization tools and techniques to facilitate data understanding and analysis

• Experience with cloud-based data platforms, such as AWS, GCP, or Azure, is a plus

• Solid understanding of data quality and data governance principles

Responsibilities:

• Data Transformation and Integration

• Data Manipulation

• Data Quality Assurance

• Data Pipeline Design and Development

• Performance Optimization

Benefits:

• Flexible work

• Weekly payments

• Rapid growth

• Work from anywhere

• Skill development

Education Requirements:

• Bachelor's degree (or above) in computer science, Engineering, or a related field

Experience Requirements:

• Proven professional experience as a Machine Learning Engineer, Data Scientist, or related role, with a focus on developing and deploying machine learning models

Other Requirements:

• Strong programming skills in languages such as Python, R, or Java, with experience in data manipulation, analysis, and model development libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch)

• Solid understanding of machine learning algorithms, statistical modeling, and deep learning architectures

• Experience with data preprocessing techniques, feature engineering, and model evaluation

• Proficiency in working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark)

• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and knowledge of deploying machine learning models to production

Responsibilities:

• Work on the design, development, and implementation of machine learning models and algorithms to solve complex business problems

• Collaborate with software engineers, and domain experts to gather requirements, define project goals, and identify data sources

• Conduct exploratory data analysis, data preprocessing, and feature engineering to prepare data for model training

• Develop and implement scalable and efficient machine learning pipelines and workflows

• Train, evaluate, and fine-tune machine learning models using state-of-the-art techniques and algorithms