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Senior Machine Learning Engineer - Full Remote

RemoteRemoteFull TimeSeniorPosted 1 month agoHidden Gem · Himalayas

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Required skills

quantitative research
statistical learning
forecasting
stock risk
stock returns
scalable systems
idea generation
back-end testing
implementation
evaluate datasets

Nice to have

MLOps
MATLAB
Azure
AWS
prototype
evaluate applications

Role summary

Seeking a REMOTE Senior Machine Learning Engineer for a long-term position with an international organization. The role involves conducting quantitative research, building robust forecasting models for stock risk and returns, developing scalable systems, and designing/delivering ML models for a Learning Experience Platform. Requires a Master's degree, 5+ years of experience in programming languages like Python, C/C++, Java, or Perl, and expertise in ML engineering with Python libraries (PyTorch, TensorFlow, etc.). Experience with predictive modeling, recommendation systems, conversational AI, OO design, data structures, algorithms, and cloud services is essential. Familiarity with databases, container technologies (Kubernetes, Docker), and system administration (BASH, Git) is required. MLOps, Azure, and AWS are preferred.

Category: IT Services Location: Fort Western Province Sri Lanka We are urgently looking for a REMOTE Senior Machine Learning Engineer for an international organization in Geneva, Switzerland. Candidates need to be fluent in English. All positions are long-term. This position is open for freelancers and employees. During the corona crisis, interviews will be done through WEBEX, and travel is not required for the interviews. Candidates need to be able to work normal office hours of Geneva, Switzerland. Tasks and responsibilities

Conduct quantitative research, focusing on, but not limited to, applying advanced statistical learning methods to diverse data sets in order to build robust models for forecasting stock risk and returns;

Build efficient tools and scalable systems for the team;

Idea generation, back-end testing, and implementation;

Evaluate new datasets for potential inclusion in our Machine Learning models;

Design and deliver Machine Learning Models and services supporting Learning Experience Platform and its components;

Build the core and support systems for learning platform and develop features;

Maintenance of the core and support systems by constantly updating the source codes and allied repositories;

Develop technical documentation and maintain active tech repositories for all tech activities carried out;

Profile

Master degree;

5+ years’ experience with programming languages such as C/C++, Java, Perl or Python and open-source technologies (Apache, Hadoop);

Excellent skills in machine learning engineering with Python: PyTorch, TensorFlow, Caffe, Pandas, SciPy, OpenCV, Scikit-Learn;

Experience in: Predictive modeling, Recommendation systems, Translation engine, Conversational AI;

Academic and/or industry experience with standard AI and ML techniques, NLU, and scientific thinking;

Experience working effectively with science, data processing, and software engineering teams;

5+ years’ experience with OO design and common design pattern;

5+ years’ experience with data structures, algorithm design, problem-solving, and complexity analysis;

3+ years’ experience developing cloud software services and an understanding of design for scalability, performance, and reliability;

Experience defining system architectures and exploring technical feasibility trade-offs;

Experience optimizing for short term execution while planning for long term technical capabilities;

Academic and/or industry experience with standard AI and ML techniques, NLU, and scientific thinking;

Experience working effectively with science, data processing, and software engineering teams;

Database: RDBMS DB like MariaDB / MySQL, Postgres, SQL and NoSQL DB like Elastic Search, MongoDB, Cassandra etc;

Container Technologies: Kubernetes, Docker;

System Admin: BASH, Git;

Fluent in English;

Added Advantage

Preferred engineering experiences: MLOps, MATLAB, and Java, Cloud platform experience: Azure and AWS;

Ability to prototype and evaluate applications and interaction methodologies;

Ability to produce code that is fault-tolerant, efficient, and maintainable;

Location: Remote; Salary/Day price: Depending on experience; Interested: Please send your resume and motivation to or call us on +94 114312515 for more information. Details
Originally posted on Himalayas

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Senior Machine Learning Engineer - Full Remote

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