Machine Learning Engineer

hace 1 mes

Guadalajara, México CHUBB A tiempo completo

With you, Chubb is better  
 
Are passionate with data infrastructure, metrics and coding? Do you love creating pipelines to support business? Would you like to be a member of a fun working environment where your innovative projects make a real impact? Then, check this outstanding opportunity in our new  Technology Hub in Mexico – CBSM (Chubb Business Services Monterrey)  as a Machine Learning Data Engineer.
 
 
If you are a tech lover and are raring to develop your career join our growing, pioneer, diverse team within one of the largest companies in the world, we would love to hear from you 
 
The Opportunity  
 
Your Responsibilities for this role may include, but are not limited to: 

Responsibilities

Develop AI/ML models for extracting insights from unstructured text along with metrics to track their accuracy and performance.  Own the AI development from data exploration, algorithm design and testing, model development and deployment 

Qualifications & Experience

Working closely with data scientists, product managers, and data engineers to design, develop, and deliver high performance AI/ML models including computer vision, NLP, semantics engine, linguistics analysis, risk-management, and time-series prediction models, among others;

Developing and building out the ML Operations CI/CD pipeline;

Developing, training, tuning, and optimizing AI models and algorithms;

Implementing complex real-time data and AI/ML applications to capture and codify knowledge and automate decisions.

Developing ML/AI models for business teams along with metrics to track their accuracy

and performance;

Overseeing the full lifecycle of algorithm development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production.

Evaluating ML algorithms that could be used to solve a given problem and ranking them by their success probability; and

Acting as an internal resource for AI/ML specific needs, providing guidance, analysis, and context to internal stakeholders during meetings and other strategy activities.

Must have experience with the following in order to complete the above-mentioned tasks:

Required experiences and skillsets:

 1. Machine Learning;

Familiar with MLFlow, Kedro, Pyspark, Pytorch frameworks (Over 2 years) Expertise of using commonly used ML/AI Models/libraries such as Pandas, Numpy, Tensorflow2/3, Keras, BERT, LayoutLMV1/2/3 as well as regressions, decision trees, random forest, K-means, etc traditional ML algorithms. (Over 2 years) Expertise of distributed ML/AI training libraries/models: Koalas, Horovod, DDP. 

2. Python programing and Software Engineering

Expertise of Pythonic clean coding, developing decorators, generators and descriptors for Python modules/libraries (over 2 years) Expertise of Software Design by Contract, particular over X years of DRY/OAOO, YAGNI, KIS, EAFP/LBYL, Defensive programming Expertise of separating cohension and coupling concerns in software design. (Over 2 years) Expertise of structing the code and orthogonality in software. (Over 2 years) Expertise of the SOLID Principles (Single responsibility, Open/closed, Liskov’s substitution, Interface segregation and Dependency Inversion) (Over 2 years)

DevSecOps

Over 1 years of coding container image dockfile and K8S Over 1 years of coding YAML scripts Expertise of building CI/CD pipelines, particular of programming in Jenkins, Github, Nexus, Sonar, Unit test framework, Pytest. Over 2 years of Cloud, familiar with at least 1 of Azure, GCP and AWS.  Familiar with node affinity, container, pods, namespace and cluster (over 2 years) Better have experience of protecting data in production using Key-vaults, cloud HSM, KMS.

Requires minimal Bachelor’s degree or foreign equivalent in Computer Science, Electrical Engineering, or a closely-related field, and at least 4 years of experience as an software engineer and 3 years years of ML related programing as well as at least 1 year of Cloud DevSecOps experience or related occupation.

Our team makes a difference, every time. For this reason, we offer in return  
 
We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, private medical cover, monthly allowance for lunch, continuous learning experiences, work in a fun, lively environment with mentoring from our groundbreaking senior mentors. 

Integrity. Client Focus. Respect. Excellence. Teamwork  
 
Our core values instruct how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and encouraging. 

 
 
Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness, and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We strive to achieve an environment where all colleagues feel comfortable performing to their full potential and are recognized for their contributions. 
 
Many voices, One Chubb  

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