Remote Jobs at ShyftLabs

Candidates should possess at least 7 years of experience in a relevant position, with a minimum of 2 years of experience managing and leading a team. They should have experience working with both offshore and onshore teams simultaneously, and a strong understanding of Siebel technologies, including configuration, EAI, EIM, scripting, workflows, UNIX shell scripting, and Oracle RDBMS. Knowledge of SOAP and REST API’s, along with experience in developing and troubleshooting them, is also required.

Candidates should possess extensive experience with Apache Druid, proficiency in designing and implementing real-time analytics solutions, and a strong understanding of data architecture, data modeling, and ETL processes. They must also demonstrate excellent problem-solving skills and attention to detail, along with the ability to work collaboratively in a team environment.

Candidates must possess strong Java skills with a minimum of 4 years of experience in Java, and at least 1+ year of experience in Kotlin. They should have familiarity with relational databases like Postgres and ORM frameworks such as Hibernate, as well as experience working with MongoDB for NoSQL database management and Kafka for event-driven architecture and message streaming.

Candidates should possess a Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field, along with 2-4 years of experience in AI/ML engineering or a related field. A strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis is required, as is proficiency in programming languages such as Python, R, or Java. Familiarity with cloud platforms and tools for AI/ML development and deployment is also necessary.

Candidates should possess a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, along with at least three years of professional experience in full stack web development. Proficiency in modern frontend frameworks such as React, Vue.js, or Angular, and JavaScript/TypeScript is required, alongside experience with backend development using Python, Node.js, or similar technologies. Strong knowledge of RESTful APIs, GraphQL, and microservices architecture, combin…

Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or a related quantitative field, along with 3+ years of experience in machine learning engineering or software engineering with a focus on ML infrastructure. They must be proficient in Python, SQL, and experienced with ML frameworks such as TensorFlow, PyTorch, and scikit-learn, and have hands-on experience with AWS services including SageMaker, EC2, S3, Lambda, Glue, and other ML-focuse…

Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or a related quantitative field, along with 5+ years of experience in ML engineering with Fortune 500 enterprise-scale implementations. Expert-level experience with MLflow for model lifecycle management and experimentation tracking, deep hands-on experience with Databricks ML platform including Unity Catalogue for ML governance, and proven experience with AWS ML services such as SageMake…

Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, along with 6+ years of experience in enterprise data engineering, specifically with Fortune 500 companies. They must have expert-level experience with the Databricks platform, including job scheduling and cluster management, and hands-on experience with Active Batch or similar enterprise job orchestration platforms. Strong knowledge of AWS data services such as DMS, S3, and d…

Candidates must possess 5+ years of professional software development experience with Python, a strong understanding of software engineering best practices, experience building and optimizing ETL/ELT processes and data pipelines, proficiency with SQL and database concepts, experience with data processing frameworks such as Pandas, an understanding of software design patterns and architectural principles, the ability to write clean, well-documented, and maintainable code, experience with unit tes…

Candidates should possess a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, with at least 5 years of hands-on experience using Databricks and Apache Spark. Proficiency in SQL, Python, or Scala for data processing and analysis, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. A strong understanding of ETL frameworks, data lakes, Delta Lake architecture, CI/CD tools, DevOps best practices, data security, compliance, and govern…