What are the responsibilities and job description for the AI/ML Engineer position at LatentView Analytics?
LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.
AI/ML Engineers:
- Python: Experience with ML Libraries and at least 5 years of coding experience of building pipelines in Python/Pyspark (libraries like NumPy, pandas, scikit-learn).
- Data preprocessing: Cleaning, transforming, and augmenting datasets to make them “ML-ready.” Experience with AWS GIS (Glue Interactive) and AWS Sagemaker
- Feature engineering: Identifying and creating relevant features that improve model accuracy and interpretability.
- Exploratory data analysis (EDA): Using tools (matplotlib, seaborn, etc.) to visualize data and gain insights.
- Version control: Proficiency with Git and version control systems.
- Code efficiency & optimization: Ability to write clean, optimized code for production settings (e.g., vectorization, concurrency where needed).
- Containerization: Familiarity with Docker or similar for reproducible environments.
- CI/CD pipelines: Experience integrating ML models into continuous integration/continuous delivery workflows. We use Git based CI/CD methods mostly.
- Cloud services: Knowledge of AWS Lambda, AWS API Gateway, AWS Glue, Athena, S3 and Iceberg and Azure AI Studio for model hosting, GPU/TPU usage, and scalable infrastructure.
- Will be good to have good communication skills and domain knowledge of Retail Investment.
At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.
