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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** DESMATA INC. - **Location:** New Paltz, NY, United States - **Experience:** Experienced - **Salary:** $114,400.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Big Data, Data Cleansing, Information Engineering, Data Governance, Data Mining, Data Visualization, Relational Databases, Machine Learning, Natural Language Processing, NumPy, Performance Tuning, Power BI, Standard Sql, Unstructured Data, Google Cloud, Cloud Platform System, Feature Engineering, Large Language Models, Apache Spark, Model Validation, Pandas, Pyspark, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Data Pipelines, Databricks - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=725665c443e0b9b8 ## About the Role Do you have experience in Spark?, Do you have a Bachelor's degree?, * Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field. * Strong experience in machine learning algorithms, predictive modeling, and data mining. * Proficiency in PySpark, Python Pandas (required) for data science workloads. * Strong SQL (required) knowledge and experience with relational databases. * Minimum 3 years of experience with data visualization tools such as Power BI, DAX Queries, and best practices. * Experience with Azure Databricks, Google Cloud, and modern data science libraries (e.g., scikit-learn, pandas, NumPy). * Experience with GenAI and large language models. * Ability to interpret complex datasets and produce actionable insights. * Must know how to analyze the root cause of dashboard errors. * Have experience in ML Ops and have a strong coding background. * Have experience with Natural Language Processing (NLP). * Knowledge or experience with A/B Testing. * Working knowledge of designing, training, and implementing machine learning models. * Familiarity with cloud-based infrastructure. * Excellent communication and problem-solving skills. * 7 or more years of experience in data science and machine learning engineering. * Additional Skills (Skills that are a plus, but not required) * Knowledge of statistical methods and experimental design. ## Description Advanced Analytics & Machine Learning * Design, develop, and optimize machine learning models (forecasting, classification, clustering). * Apply data mining techniques to uncover patterns and insights in large datasets. * Perform feature engineering, model validation, and performance tuning. * Explore and deploy modern AI and ML approaches to enhance automation and analytics. Data Preparation & Quality * Prepare structured and unstructured data for modeling and advanced analysis. * Develop scripts and tools for data cleansing, validation, and enrichment. * Collaborate with Data Engineering to maintain efficient data pipelines. * Identify data quality issues and propose remediation. Analytics, Insights & Reporting * Conduct deep-dive analyses to identify trends and improvement opportunities. * Communicate complex findings in clear, concise ways to technical and non-technical stakeholders. * Support the development of dashboards, metrics, and analytical solutions. Cross-Team Collaboration * Work with architects, engineers, and analysts to define analytical requirements. * Contribute to conceptual data model design and workflow optimization. * Promote best practices in machine learning, analytics, and data governance. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)