Devsinc is seeking an experienced Senior Data AI Engineer to lead the development and implementation of AI-driven data solutions. In this role, you will work at the intersection of data engineering and artificial intelligence, building scalable data pipelines and machine learning models to extract actionable insights and automate decision-making processes. You will collaborate closely with data scientists, engineers, and business stakeholders to deliver innovative AI-powered solutions that drive business growth.
Key Responsibilities:
- Design, develop, and maintain scalable and robust data pipelines to support AI and machine learning workloads.
- Develop, deploy, and optimize machine learning models and AI algorithms in production environments.
- Collaborate with data scientists to understand modeling requirements and translate them into efficient data processing workflows.
- Implement data preprocessing, feature engineering, and data validation techniques to improve model accuracy and reliability.
- Utilize cloud platforms and big data technologies to manage large-scale AI projects.
- Ensure data quality, security, and compliance throughout the AI data lifecycle.
- Evaluate emerging AI technologies and tools, recommending their adoption where appropriate to enhance capabilities.
- Mentor junior engineers and provide technical leadership within the data AI team.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields.
- 3+ years of experience in data engineering with a strong focus on AI and machine learning implementations.
- Proficient in programming languages such as Python, Java, or Scala with experience in ML libraries like TensorFlow, PyTorch, or scikit-learn.
- Experience building and managing data pipelines using ETL tools and orchestration frameworks (e.g., Apache Airflow).
- Strong understanding of machine learning algorithms, data preprocessing, feature engineering, and model deployment.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI services.
- Familiarity with big data ecosystems including Spark, Kafka, Hadoop.
- Knowledge of data storage technologies like SQL/NoSQL databases and data warehousing (Snowflake, Redshift, BigQuery).
- Strong analytical and problem-solving skills with a proactive approach to innovation.
- Excellent communication and teamwork skills to collaborate across multidisciplinary teams.
- Experience mentoring and leading junior team members is a plus.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields
- 3+ years of experience in data engineering with a strong focus on AI and machine learning
- Proficient in Python, Java, or Scala and experience with ML libraries
- Experience with ETL tools and orchestration frameworks
- Strong understanding of machine learning algorithms and model deployment
- Hands-on experience with cloud platforms and AI services
- Familiarity with big data ecosystems such as Spark, Kafka, Hadoop
- Knowledge of data storage technologies and data warehousing
- Strong analytical and problem-solving skills
- Excellent communication and teamwork skills
- Experience mentoring and leading junior team members
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.
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Healthcare Strength — OPD and IPD medical coverage, along with health insurance mentions, indicate a meaningful healthcare offering.
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Flexible Benefits — Work-from-home options, workation opportunities, and paid leave point to flexible arrangements for where and when work is done.
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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!
