About Neudesic, an IBM Company

Passion for technology drives us, but it’s innovation that defines us. From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster.

What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you.

Job Description:

As a Machine Learning and AI Engineer (Senior Data Scientist), you will be responsible for designing and implementing machine learning models, conducting research to improve the current algorithms, and maintaining the ML/AI infrastructure. You will be working closely with our data scientists and other stakeholders to understand their needs and translate them into ML/AI solutions. A significant part of your role will be focused on leveraging AI technologies, including OpenAI and GPT, to drive innovation and improve our products and services.

Responsibilities:

Design, develop, and implement machine learning algorithms and models.
Use Azure ML services to develop and deploy ML models at scale.
Leverage AI technologies, including OpenAI and GPT, to drive innovation and improve our products and services.
Collaborate with data scientists and other stakeholders to understand their needs and translate them into ML/AI solutions.
Conduct research to improve the current ML/AI algorithms and systems.
Maintain the ML/AI infrastructure, ensuring its scalability, reliability, and security.
Stay updated with the latest ML/AI trends and technologies.
Automate machine learning pipelines to retrain and automatically deploy models due to data drift or on a schedule.
Monitor models running in production and log relevant data.
Build API interfaces in Azure that expose machine learning models as a service.

Qualifications:

Bachelor’s degree in a quantitative field like Computer Science, Data Science, Business Analytics, Statistics, Mathematics or related field is required. Advanced degree preferred.
At least 1-3 years business domain experience implementing data-driven, analytical solutions that improve product development, marketing, or other business objectives that were operationalized and delivered actual results to the business.
Proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, or Keras.
Experience deploying models, operationalizing models into business processes.
Advanced knowledge of machine learning models and techniques (regression, classification, decision trees, clustering, and neural networks, etc.)
Deep understanding of ML model diagnostics, tuning and the interpretation of models.
Proficiency with Docker, Kubernetes, MLOps and deploying machine learning models in production environments.
Strong data wrangling skills and proven experience working with large, complex datasets.
Experience working with big data tools/environments, such as, Hadoop, Spark, Apache Beam, and Databricks is a strong plus.
Proficiency with Linux/Unix environments.
Proven experience building and deploying ML models in Azure cloud.
Expert in at least one machine learning use case, such as, Natural Language Processing, Computer Vision, Time Series Forecasting, etc.
Experience with AI technologies, particularly OpenAI and GPT.

Nice to Have:

Experience with LangChain, Hugging Face.
Experience with other cloud platforms like AWS or Google Cloud.

Join our team!

Businesses come to us because we deliver results, and they come back because of our people and unwavering system of Values. Each member of our team is highly valued; we believe in them and in return, their dedication and hard work drives our success. Personal and professional achievements are not only encouraged but invested upon, cultivating a positive mutual respect throughout our company.

We provide for a culture of collaboration, communication, accountability, hard work, individual development, growth and fun. Neudesic is an Equal Opportunity Employer. Please no third parties or agencies, thank you.

For California, the expected salary range for this position is between $100,000 and $160,000. The salary range may be different if the successful employee is in a different state. This position is also eligible for performance bonuses. The actual compensation will be determined based on experience and other factors permitted by law.

Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team’s management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location.

Neudesic is an Equal Employment Opportunity Employer:

All employment decisions shall be made without regar.d to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: https://www.ibm.com/us-en/privacy?lnk=flg-priv-usen

Neudesic, an IBM Company

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