Machine Learning Architect

Machine learning, Java, python, SQL
Full Time
$180,000 - $200,000

Job Description

Job Description:

Responsibilities:

As a Machine learning Arch, you will

Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and working closely with the engineering   team to strategize and execute the development of data products

·      Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries

·      Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables

·      Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy

·      Analyze data for trends and patterns, and Interpret data with a clear objective in mind

·      Implement analytical models into production by collaborating with software developers and machine learning engineers.

·      Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

·      Maintains active relationships with Product Owner to understand business requirements,  leads requirements gathering meetings, and reviews designs with the product owner

·      Owns the backlog and coordinates with other teams as necessary for backlog grooming

·      Develops and owns Program Increment list of features

·      Develops and defines application scope and objectives and supervises the preparation of technical and/or functional specifications from with programs that will be written

·      Performs technical design reviews and code reviews

·      Ensures unit test is completed and meets the test plan requirements, system testing is completed, and the system is implemented according to plan

·      Support teams on high priority issues 

·      Responsible for delivery of application technology solutions and data information planning effort

Requirements:

Bachelor’s degree in statistics, applied mathematics, or related discipline

•      7+ years’ experience in data science

•      Proficiency with data mining, mathematics, and statistical analysis

•      Advanced pattern recognition and predictive modeling experience

•      Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)

Knowledge on below is desired:

·      Machine Learning –Supervised: -k-NN, Naive Bayes, SVM, Log. R, Decision Tree, Random Forest, Xgboost, GBDT

Unsupervised: - Kmeans, DBSCAN

·      Mathematics - Good Understanding of Linear Algebra and Calculus

·      Deep Learning 

1. AutoEncoders

2. RNN/LSTM/GRU - NLP/NLU

3. CNN - Computer Vision

4. Transformers

5. Neural Networks

6. Attention

·      Statistics and Probability- Bayes Theorem, conditional probability, Dependent/Independent Events, Random Variable, Probability Distributions, Statistical Test

·      Language- Python/Fonduer

·      Data Analysis- Matplotlib, Seaborn, SNS, Pandas-profiling, Numpy, Pandas, Opencv

·      ML Toolkit - TensorFlow, Keras, PyTorch, sklearn

·      Databases- MongoDB, PLSQL 

Dice Id : 90575389
Position Id : 7245557
Originally Posted : 1 month ago
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