Machine Learning Engineer

TechDigital Group; San Antonio (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

A data science company is seeking an experienced coder to develop and test analytical models. The role requires proficiency in Python, experience with data science methodologies, and strong communication skills. Ideal candidates will also have familiarity with machine learning, deep learning frameworks, and data manipulation techniques. This is an excellent opportunity in San Antonio, Texas, for those looking to make an impact in data analytics.

Qualifications

• Proven experience in building complex analytic algorithms.
• Familiarity with data science project life cycles.
• Strong understanding of machine learning models and techniques.

Responsibilities

• Responsible for coding and testing customized analytical models.
• Gathers, interprets, and manipulates structured and unstructured data.
• Selects appropriate modeling techniques based on business needs.

Skills

Python

Data science

Communication skills

Elasticsearch

Model Implementation

Tools

TensorFlow

Keras

PyTorch

numPy

SciPy

SciKit-learn

SQL

Job description

Job responsibilities:

• Responsible for coding and testing customized analytical models of medium to high degree of complexity.
• Must be able to implement best practices when writing and testing code.
• Familiarity with the life cycle of a data science project and extensive experience with python is a must.
• Requires strong interpersonal and communication skills, operational Elasticsearch knowledge and ability to construct GUI interfaces
• Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
• Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs
• Proven experience in developing models using Regression, Decision trees, Bayesian networks, Random Forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms.
• Proven experience in building and implementing Timeseries and forecasting models.
• Experience in Deep Learning model development using TensorFlow, Keras, PyTorch
• Hands on experience in building ML workflows
• Experience in Model implementation, Governance, and monitoring.
• Responsibilities include Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality and separate it into working modules.
• Working experience in Python, R and SQL
• Experience in Python data science packages such as numPy, SciPy and SciKit-learn

Nice to Have:

• Fluent with Natural Language Processing and text analytics libraries (NLTK, SpaCy)
• Experience with Data Science Platforms (Dataiku, H2o, Azure…)
• Experience with one of Subversion/SVN, Git, GitHub, GitLab, Mercurial, or other version control system
• Experience with cloud platforms AWS, Azure, GCP a plus
• Knowledge in Big Data, Hadoop, HIVE/HQL, HDFS, Spark/PySpark, Kafka
• Familiar working in an AGILE environment