Ml Engineer

hace 6 días

Heredia, Costa Rica IBM A tiempo completo

**Introduction**
Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today - planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.

**Your Role and Responsibilities**
We are seeking to hire an ML Engineer to join our growing team This is a hands-on technical role where you will spend most of your time designing, coding, and implementing ML solutions to intent and understanding problems, along with ongoing evaluation of model performance both in isolation as well as using results from production use cases. We are looking for someone who has expertise designing and implementing ML training pipelines as we improve and scale our conversational AI products, in particular to work in multilingual environments.

As our ML Engineer, you will join a team of ML specialists who collaboratively tackle complex algorithmic and architectural challenges. You will:

- Investigate and experiment with new model architectures to improve existing ML models, training pipelines, and run-time inference performance
- Expand the scope and capabilities of our models to enable multilingual use cases
- Creatively balance the demands of production-level software engineering with exploratory research and development
- Work with teams to develop and improve ML pipelines that go all the way from R&D to at-scale deployment

**Required Technical and Professional Expertise**
- Experience working with large production codebases in any language.
- Professional experience using PyTorch, MxNet, TensorFlow, or similar tools.
- Hands-on experience with ML model deployment and inference in a production environment.
- Experience building sequence-to-sequence neural networks (e.g. LSTMs, GRUs, Transformers, etc) in any domain.
- Demonstrated success working in large distributed teams to solve novel technical challenges
- Strong Communication skills in English

**Preferred Technical and Professional Expertise**
- Experience developing production-level Python.
- Ability to build NLP data pipelines and perform data transformations to fit deep learning models for language learning or understanding.
- Experience with MLOps and/or ML at scale.

**About Business Unit**

Are you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.

Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change - to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.

It's time to define your career.

**About IBM**

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

**Location Statement**

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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