Analyst Machine Learning Jobs

Experience working on Machine learning/AI models is highly recommended

Experience dealing with complex datasets and structures is required

Work with our CTO to develop machine learning models based on provided data

Build out our platform in coordination with mockups and feedback

Work hands-on with both the CEO and CTO to bring thnkrAI's product to the market

Design model architectures to outline the ML model's function

4. Mock Interview Practice: Improve your interview skills through practice sessions with experienced professionals.

1. Diverse industry projects: Gain hands-on experience by working on various real-world projects from different industries.

2. Skills Review Survey: Complete a 20-minute assessment on Machine Learning and Python proficiency.

3. Initial Interview: Have a discussion with our Director of AI to discuss your goals and skills.

Fluency in written and spoken English is required, along with a commitment to continuous learning and self-improvement.

2. Mentorship: Receive personalized guidance and support from an industry expert mentor.

Manage a team of MLEs and provide guidance and mentorship to ensure successful project delivery

Bachelor's Degree or equivalent years of relevant work experience

Typically requires 5+ years of relevant leadership experience.

Proven experience managing large team of ML engineers and Data Scientists.

Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role.

Hands-on experience using Databricks or Apache Spark (i.e., PySpark, SparkR, or Scala) and understanding best practices.

4. Mock Interview Practice: Improve your interview skills through practice sessions with experienced professionals.

1. Diverse industry projects: Gain hands-on experience by working on various real-world projects from different industries.

2. Skills Review Survey: Complete a 20-minute assessment on Machine Learning and Python proficiency.

3. Initial Interview: Have a discussion with our Director of AI to discuss your goals and skills.

Fluency in written and spoken English is required, along with a commitment to continuous learning and self-improvement.

2. Mentorship: Receive personalized guidance and support from an industry expert mentor.

M.S. or Ph.D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required

Proven leadership skills with an ability to deliver under tight deadlines

Experience with deep learning frameworks such as PyTorch and TensorFlow, Huggingface Transformers, or related is a big plus

At Palo Alto Networks, Sr. Managers of Engineering are:

Committed professionals who deliver on critical business needs and are recognized across the organization as go-to engineering resources on given domains.

Leaders who can communicate effectively and succinctly with hands-on engineers as well as executives.

Have experience working in an agile environment

Demonstrate knowledge of at least one programming language, preferably Python or Java.

ML Ops needs to have the following skills:

The technical skills you need to be an MLOps engineer are:

Be a problem solver and quick learner

Understand the importance of continuous learning and personal development

Partner with portfolio managers to identify and define projects with concrete impact

Minimum of 1-3 years of experience in building and deploying models, developing algorithms for machine learning problems and analyzing data.

Strong quantitative, analytical, and communication skills

Experience in Python and familiarity with machine learning packages

Experience in manipulating and analyzing data from varying sources

Experience in tabular learning and time series analysis is a plus

− Knowledge of Learning Management System (LMS) framework

− Build Tableau dashboard to enhance analysis of learning data from learning management system

− Time management, ability to meet tight deadlines

− Manage metrics for new-hire learning program

− Excellent Excel and data analysis skills

− Strong organizational and communication skills

Knowledge of various supervised and unsupervised machine-learning techniques.

Knowledge of Classification and Clustering tasks, Natural Language Processing (NLP), and named-entity recognition (NER).

Experience with statistical data analysis and methods.

Bachelor of Science Degree in STEM (min) + four (4) years experience

Data Analyst - Machine Learning

Support research and analysis of complex unstructured and semi-structured data.

Knowledge of various supervised and unsupervised machine-learning techniques.

Knowledge of Classification and Clustering tasks, Natural Language Processing (NLP), and named-entity recognition (NER).

Experience with statistical data analysis and methods.

Bachelor of Science Degree in STEM (min) + four (4) years experience

Data Analyst - Machine Learning

Support research and analysis of complex unstructured and semi-structured data.

Experience developing, implementing, and delivering machine-learning models

A degree in a quantitative subject matter (such as Mathematics, Physics, Engineering or Quantitative Finance).

Experience from the buy side and/or sell side

Partner with internal and external stakeholders on current projects and future plans

Work closely with quants and quant developers to help address modeling issues

Coordinate specific research projects on machine learning techniques applied to derivative pricing and risk applications

- Prior domain experience with video/audio streaming Required Education BA/BS Degree

This can be remote BUT we prefer they're close to below location:

- Knowledge of statistical methods and techniques used in data analysis and machine learning.

- Experience applying statistical analysis techniques, including hypothesis testing, regression analysis, and data visualization.

- Strong teamwork and collaboration skills to work effectively with cross-functional teams.

- Experience with Spark and the Databricks platform

· Provide project management support

· Manage training enrollments in SAP SuccessFactors Learning Management System.

· Assist with management/administration of Adobe Connect virtual training sessions

Experience supporting Learning and Development and training activities

Strong analytical and problem-solving skills

Strong verbal and written communication skills