Machine Learning Engineer

5 days ago


India McLaren Strategic Solutions (MSS) Full time

Company Description

McLaren Strategic Solutions (MSS) is a technology services and digital transformation company under McLaren Strategic Ventures, headquartered in California. MSS offers digital transformation services including Advisory Services, Product & Platform Engineering, and Technology Services. They leverage leading platforms for services and are a global leader in platform-based services.


Responsibilities

• Develop predictive models using supervised and unsupervised machine learning/deep learning

• Build models for legal predictive analytics, natural language understanding, conversational AI,robotic accounting, forecasting and anomaly detection

• Provide expertise in data wrangling, exploratory data analysis and feature engineering with largedata sets

• Support the development of proofs of concept to demonstrate the application of AI/MLcapabilities in solving customer problems in collaboration with product and other developmentteams

• Collaborate effectively with other teams

• A self-starter who can align the technology solution with a business goal


Qualifications

• Undergraduate or Graduate degree (MS or PhD) in Computer Science, Engineering, Mathematicsor equivalent, specializing in machine learning or a related field

• 3+ years’ experience in supporting development of production-ready solutions leveraging AItechnologies: NLP, Deep Learning, Machine Learning

• Strong hands-on expertise in Python and open source libraries/frameworks/tools such asNumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, anaconda, transformers,etc.

• Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch

• Experience in applying deep learning to NLP

• Computer vision modeling a plus

• Experience with designing, building, and optimizing data and model training pipelines

• Experience in SageMaker or Azure ML Studio a plus

• Experience with cloud-based platforms (AWS or Azure) for solution delivery

• Experience working with agile and Software Development Lifecycle tools (e.g. JIRA, Confluence,Git) and Test-Driven Development (TDD



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