We are seeking a talented and driven Data Engineer + AI Engineer with 2–6 years of experience to join our team. The ideal candidate will be responsible for designing and maintaining scalable data pipelines, managing data infrastructure, and developing AI/ML solutions that support business objectives. This role requires expertise in both data engineering and artificial intelligence, enabling the delivery of end-to-end data-driven and intelligent applications.
Requirements
Core Responsibilities
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
Build and optimize data architectures, data warehouses, and data processing systems.
Develop, train, evaluate, and deploy machine learning and AI models.
Collaborate with cross-functional teams to deliver data-driven and AI-powered solutions.
Ensure data quality, integrity, security, and governance across all data systems.
Optimize database performance and large-scale data processing workflows.
Implement and maintain MLOps practices, including model deployment, monitoring, and automation.
Work with cloud-based data and AI services to build scalable solutions.
Troubleshoot and resolve issues related to data pipelines, infrastructure, and AI models.
Stay current with emerging technologies and best practices in data engineering and artificial intelligence.
Qualification
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Software Engineering, or a related discipline.
2–6 years of professional experience in Data Engineering, AI Engineering, Machine Learning Engineering, or a related field.
Required Skills
Strong proficiency in Python and SQL.
Experience with relational and non-relational databases (PostgreSQL, MySQL, MongoDB, etc.).
Hands-on experience building and maintaining ETL/ELT pipelines.
Knowledge of data orchestration tools such as Apache Airflow or similar platforms.
Experience with big data technologies such as Apache Spark, Kafka, or Hadoop.
Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
Experience developing and deploying AI/ML models in production environments.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Understanding of MLOps, model monitoring, CI/CD pipelines, and version control using Git.
Knowledge of Generative AI, LLMs, RAG frameworks, or NLP concepts is a plus.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Ability to work independently and manage multiple priorities.
Strong attention to detail and commitment to quality.
Continuous learning mindset with a passion for emerging AI and data technologies
Skills Required
- Bachelor's degree in Computer Science, Data Science, AI, IT, Software Engineering, or related discipline
- 2-6 years professional experience in Data Engineering, AI Engineering, or Machine Learning Engineering
- Strong proficiency in Python
- Strong proficiency in SQL
- Experience with relational and non-relational databases (PostgreSQL, MySQL, MongoDB)
- Hands-on experience building and maintaining ETL/ELT pipelines
- Knowledge of data orchestration tools such as Apache Airflow or similar
- Experience with big data technologies (Apache Spark, Kafka, Hadoop)
- Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
- Experience developing and deploying AI/ML models in production environments
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Understanding and implementation of MLOps practices, model monitoring, and automation
- Experience with CI/CD pipelines and version control using Git
- Experience optimizing database performance and large-scale data processing
- Ensure data quality, integrity, security, and governance across data systems
- Knowledge of Generative AI, LLMs, RAG frameworks, or NLP concepts
Devsinc Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Devsinc and has not been reviewed or approved by Devsinc.
-
Healthcare Strength — OPD and IPD medical coverage, along with health insurance mentions, indicate a meaningful healthcare offering.
-
Flexible Benefits — Work-from-home options, workation opportunities, and paid leave point to flexible arrangements for where and when work is done.
-
Wellbeing & Lifestyle Benefits — Access to gyms and salons, plus various allowances and occasional trips or events, add lifestyle value beyond base pay.
Devsinc Insights
What We Do
We integrate global leaders in web development with passionate Asian talent to get a unique blend of Quality and Affordability. We are headquartered in California and work consistent eastern and pacific standard hours. We like ad hoc pairing as necessary, TDD, and working with other agencies to make things happen. We contribute to open source projects and genuinely enjoy coding. We are also committed to teaching, and spreading knowledge!
