
Machine Learning Data Engineer
5 days ago
About Tandeminvest
We have a large network of partnerships, collaborating with leading innovators. We've built an easy way for businesses to integrate our network and deliver innovative solutions.
We operate at scale, but we're still a relatively small team. This means you have a unique opportunity to grow while doing the most important work of your career.
We want people who are not afraid to take calculated risks and support decisions with data-driven insights. Here's what you will be doing:
Key Responsibilities- Machine Learning Model Design and Development
- Data Preprocessing and Feature Engineering
- Model Training and Evaluation
- ETL Pipeline Management
- Data Storage and Retrieval Optimization
- Interactive Dashboard Creation
- Stakeholder Communication
As an AI ML engineer, you will play a crucial role in designing, developing, and deploying machine learning models and data pipelines. The ideal candidate will take ownership from problem definition through to delivering production-grade solutions, requiring strong initiative and self-direction.
You will work closely with data engineers, data scientists, and business stakeholders to build scalable solutions that drive impactful business decisions. Your expertise in various data and machine learning tools will be essential in managing our data infrastructure and delivering high-quality AI/ML projects.
Required Skills
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
- Proficiency in SQL and Python
- Experience with data integration tools like Airbyte
- Strong knowledge of data warehousing concepts and hands-on experience with Snowflake
- Experience with data transformation tools such as dbt
- Proficiency in using Databricks and Apache Spark for big data processing and machine learning
- Familiarity with Delta Lake for data lake management
- Experience with data visualization tools like Tableau
- Experience with relational databases like MySQL and PostgreSQL
- Strong analytical and problem-solving skills
- Excellent communication and teamwork abilities
Preferred Qualifications
- A strong individual contributor mindset, demonstrating high autonomy
- Knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, or Scikit-Learn
- Experience with cloud platforms such as AWS, GCP, or Azure
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