Harris Allied
Machine Learning Engineer/Time Series Data
Industry leading tech company has immediate need for a
Machine Learning Engineer
with expertise in
time series data analysis.
This engineer will drive the development and optimization of machine learning solutions, focusing on
time series forecasting, anomaly detection, and predictive analytics.
This person will use advanced machine learning concepts to design and build impactful real-world applications that drive the business and create opportunities for growth. Responsibilities Develop and implement
machine learning models
and algorithms specifically for
time series data analysis. Design and build
scalable data pipelines
to preprocess and transform time series data. Conduct exploratory data analysis to uncover trends, patterns, and insights from time series data. Optimize and fine-tune models for performance, accuracy, and scalability. Experiment with and implement state-of-the-art techniques for
time series forecasting
and anomaly detection. Develop
RESTful APIs
and interfaces for time series-based services. Analyze complex datasets to create actionable insights, employing advanced machine learning and statistical models. Design end-to-end machine learning pipelines, including data collection, preprocessing, model training, and deployment. Solve business challenges using
predictive analytics, anomaly detection, and recommendation systems. Contribute to research publications, patents, and technical workshops. Partner with cross-functional teams to define and deliver machine learning-based solutions. Ensure machine learning systems meet ethical guidelines, focusing on transparency, fairness, and accountability. Adhere to privacy laws and regulations, implementing measures to safeguard sensitive data. Qualifications 5+ years of hands-on, professional experience with
time series data analysis and deploying machine learning models and pipelines in a production environment. Hands-on development skills with
Python or R
and experience with RESTful API design. Bachelor's or master's degree in Computer Science, Data Science, Statistics, or a related field with specialization in AI, NLP, or Data Science. Proficiency in machine learning development using frameworks such as TensorFlow, PyTorch, or Keras. Experience developing and optimizing machine learning models for
time series forecasting and anomaly detection. Strong data engineering and analytics skills, with tools such as
Pandas, NumPy, Spark, or SQL. Familiarity with big data technologies
(Hadoop, Kafka, or cloud platforms like AWS/GCP/Azure). Bonus points for familiarity with
LLMs, Vector DBs, and RAG. Practical knowledge of statistical methods and techniques for time series analysis. Ability to work in a fast-paced, collaborative team environment and adapt to evolving priorities. Knowledge of
CI/CD
practices (experience developing and setting up a continuous integration/continuous delivery pipeline). Preferred Skills HTML/JS/CSS React Java MySQL or similar relational database (Postgres, SQL Server) Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Technology, Information and Media
#J-18808-Ljbffr
Industry leading tech company has immediate need for a
Machine Learning Engineer
with expertise in
time series data analysis.
This engineer will drive the development and optimization of machine learning solutions, focusing on
time series forecasting, anomaly detection, and predictive analytics.
This person will use advanced machine learning concepts to design and build impactful real-world applications that drive the business and create opportunities for growth. Responsibilities Develop and implement
machine learning models
and algorithms specifically for
time series data analysis. Design and build
scalable data pipelines
to preprocess and transform time series data. Conduct exploratory data analysis to uncover trends, patterns, and insights from time series data. Optimize and fine-tune models for performance, accuracy, and scalability. Experiment with and implement state-of-the-art techniques for
time series forecasting
and anomaly detection. Develop
RESTful APIs
and interfaces for time series-based services. Analyze complex datasets to create actionable insights, employing advanced machine learning and statistical models. Design end-to-end machine learning pipelines, including data collection, preprocessing, model training, and deployment. Solve business challenges using
predictive analytics, anomaly detection, and recommendation systems. Contribute to research publications, patents, and technical workshops. Partner with cross-functional teams to define and deliver machine learning-based solutions. Ensure machine learning systems meet ethical guidelines, focusing on transparency, fairness, and accountability. Adhere to privacy laws and regulations, implementing measures to safeguard sensitive data. Qualifications 5+ years of hands-on, professional experience with
time series data analysis and deploying machine learning models and pipelines in a production environment. Hands-on development skills with
Python or R
and experience with RESTful API design. Bachelor's or master's degree in Computer Science, Data Science, Statistics, or a related field with specialization in AI, NLP, or Data Science. Proficiency in machine learning development using frameworks such as TensorFlow, PyTorch, or Keras. Experience developing and optimizing machine learning models for
time series forecasting and anomaly detection. Strong data engineering and analytics skills, with tools such as
Pandas, NumPy, Spark, or SQL. Familiarity with big data technologies
(Hadoop, Kafka, or cloud platforms like AWS/GCP/Azure). Bonus points for familiarity with
LLMs, Vector DBs, and RAG. Practical knowledge of statistical methods and techniques for time series analysis. Ability to work in a fast-paced, collaborative team environment and adapt to evolving priorities. Knowledge of
CI/CD
practices (experience developing and setting up a continuous integration/continuous delivery pipeline). Preferred Skills HTML/JS/CSS React Java MySQL or similar relational database (Postgres, SQL Server) Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Technology, Information and Media
#J-18808-Ljbffr