Mindex ยท 1 week ago
Data Science Specialist
Mindex is a software development company with a rich history and a commitment to innovative products and services. They are seeking a highly skilled Data Science Engineer to join their AI Platform team, responsible for building and scaling data-driven products, developing machine learning models, and establishing MLOps workflows.
Computer Software
Responsibilities
Design and implement scalable data pipelines to ingest, process, and transform large datasets (structured & unstructured)
Develop, validate, and optimize supervised and unsupervised machine learning models leveraging Python, SQL, and modern libraries
Conduct feature engineering, model selection, and statistical modeling to deliver high-impact solutions
Build and expose model APIs or containerized workflows for seamless integration and deployment in production environments
Apply MLOps best practices to model versioning, testing, monitoring, and deployment
Work with Big Data technologies such as Databricks and Snowflake to unlock analytics at scale
Orchestrate complex workflows using tools like Airflow or Dagster for automation and reliability
Collaborate with AI teams to refine prompt engineering and leverage AI tooling for model fine-tuning and augmentation
Maintain familiarity with leading cloud platforms (AWS, Azure, GCP) for model training, deployment, and infrastructure management
Partner with product, engineering, and business teams to translate requirements into technical solutions
Qualification
Required
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
3+ years of experience in data science engineering or related roles
Proficiency in Python and SQL for data extraction, analysis, and modeling
Strong background in statistical modeling and machine learning algorithms (supervised and unsupervised)
Experience with feature engineering and end-to-end model development
Hands-on experience with MLOps foundations (CI/CD, model monitoring, automated retraining)
Familiarity with Big Data tools (Databricks, Snowflake, Spark)
Experience with workflow orchestration platforms such as Airflow or Dagster
Understanding of cloud architecture and deployment (AWS, Azure, GCP)
Experience deploying models as APIs or containers (Docker, FastAPI, Flask)
Familiarity with prompt engineering techniques and AI tooling for cutting-edge model development
Excellent problem-solving and communication skills
Preferred
Experience with advanced AI tools (e.g., LLMs, vector databases)
Exposure to data visualization tools and dashboarding
Knowledge of security, privacy, and compliance in ML workflows
Benefits
Health insurance
Paid holidays
Flexible time off
401k retirement savings plan and company match with pre-tax and ROTH options
Dental insurance
Vision insurance
Employer paid disability insurance
Life insurance and AD&D insurance
Employee assistance program
Flexible spending accounts
Health savings account with employer contributions
Accident, critical illness, hospital indemnity, and legal assistance
Adoption assistance
Domestic partner coverage
Tickets to local sporting events
Teambuilding events
Holiday and celebration parties
Leadership training
License to Udemy online training courses
Growth opportunities