Sr. Data Scientist – Machine Learning Engineer Contract BrooksourceFranklin, TN2 weeks ago

Sr. Machine Learning Engineer

Contract

100% Remote

Position Overview :

As a Sr. Machine Learning Developer / Engineer, you will play a crucial role in designing, developing, and deploying machine learning models and systems to assist the Human Resources team in identifying patterns surrounding personnel engagement at our client’s facilities.

You will collaborate closely with cross-functional teams including the Chief Human Resources Officer, Chief Data and Analytics Officer, and business stakeholders at the client’s facilities to turn business requirements and data into an identifying pattern through Machine Learning.

Key Responsibilities :

• Develop and implement machine learning algorithms for analyzing multi-variate time series data, extracting meaningful patterns, and making accurate predictions.
• Design and implement data preprocessing pipelines to clean, transform, and aggregate time series data for model training and evaluation.
• Collaborate closely with domain experts to understand the context and nuances of the time series data, ensuring that the developed models address real-world challenges.
• Research and experiment with state-of-the-art time series analysis techniques, selecting the most appropriate algorithms for different data scenarios.
• Explore feature engineering techniques and dimensionality reduction methods tailored to time series data characteristics.
• Fine-tune and optimize models to achieve high predictive accuracy, considering factors like model complexity, interpretability, and computational efficiency.
• Work closely with software engineers to integrate developed models into production systems, ensuring seamless and efficient deployment.
• Monitor model performance in real-world environments, identifying and addressing potential issues to maintain reliable predictions over time.
• Stay current with advancements in time series analysis, machine learning, and related fields, and apply that knowledge to enhance the team’s capabilities.
• Collaborate with cross-functional teams to communicate technical concepts and findings to both technical and non-technical stakeholders.

Qualifications and Skills :

• Strong experience in ML model creation + MLOps + GenAI
• Expertise in GenAI using foundational LLM as well as Lanchain for vectorDB
• Strong understanding of time series analysis concepts, algorithms, and techniques.
• Proficiency in programming languages such as Python, and experience with libraries like TensorFlow, PyTorch, scikit-learn, and specialized time series libraries (e.

g., statsmodels, Prophet).

• Experience with open source ML regression models like XGBoost, CatBoost, LightGBM, Random Forest
• Experience with handling and preprocessing multi-variate time series data, including feature extraction and data normalization.
• Familiarity with machine learning techniques such as LSTM, GRU, attention mechanisms, and ensemble methods applied to time series data.
• Strong analytical and problem-solving skills, with an ability to think critically about model outputs and tune hyperparameters effectively.
• Familiarity with cloud platforms and services (e.g.. Azure) for deploying machine learning solutions is advantageous.
• Knowledge of version control systems (e.g., Azure DevOps), data visualization tools, and agile development methodologies.
• Excellent communication skills to collaborate with interdisciplinary teams and present findings to stakeholders.
• Previous experience with real-world deployment of time series models in production environments is a plus.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus.
30+ days ago