Dice is the leading career destination for tech experts at every stage of their careers. Our client, Excellerent Technology Solutions, is seeking the following. Apply via Dice today!
Our Direct client is looking for SR Machine Learning Engineer for Pittsburgh Location.
Contract to Hire role
Onsite
Responsibilities:
- Use machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems.
- Analyst and extract relevant information from business data to help automate and optimize key processes.
- Design, develop, and evaluate highly innovative models for predictive learning.
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
- Research and implement novel machine learning and statistical approaches.
Minimum Requirements:
- Experience with applying machine learning models to solve real-world problems (i.e. with multiple stakeholders) as part of their on-the-job duties.
- Emphasis on analysis and model development, but experience deploying a model for an end-to-end app solution of some sort.
- Advanced machine learning skills using Python or R: clustering, regression, classification, and machine learning frameworks such as Apache Mahout.
- Assess model performance; train multiple models; carry out tuning. Run A/B tests on models.
- Some familiarity with deep learning.
- Experience working with database systems.
- Transform and clean data into an appropriate form for statistical analysis.
- Work with domain experts to identify areas where predictive analytics can take us to the next level.
- Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.
- Be capable of self-direction, within context.
Skills:
- 3+ years of machine learning experience. Experience using predictive analytics in a business or healthcare setting.
- Deep knowledge of a scripting or statistical programming language (Python preferred). Basic SQL. Ability to efficiently work with very large datasets. Ability to deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
- Comfortable writing complex SQL queries. Experience developing python packages. Version control experience in Git or a similar system. Experience with agile development practices. Experience with Hadoop. Experience with low-level machine learning libraries.
- 3+ years of developing implementing machine learning algorithms using Python.
- 5+ years of SQL.
- 2+ years working with open-source Big Data technology stacks (Apache Nifi, Spark, Kafka, HBase, Hadoop/HDFS, Hive, Drill, Pig, etc.) or commercial open source Big Data technology stacks (Hortonworks, Clouder, etc.)
- 3+ years with document databases (e.g. MongoDB, Accumulo, etc.)
- 2+ years of distributed version control system (e.g. git).
- 1+ years of experience in cloud-based development and delivery.
Education:
- Master's Degree in Computer Science or other related field of study (preferred).
- Bachelor's Degree in Computer Science or other related field of study (required).
#J-18808-Ljbffr