Company: NearSource Technologies

Location: Toronto, ON

Expected salary:

Job date: Fri, 22 Nov 2024 23:20:31 GMT

Job description: Were hiring a Senior ML Developer (Remote) to join our team and drive data-driven decision-making across our digital platform. Apply now to be part of the teamResponsibilities:

• Address complex challenges to uncover customer behavior insights and drive product adoption.
• Leverage expertise in quantitative analysis, data mining, and machine learning to develop models that shape product strategy and priorities.
• Design and implement machine learning pipelines to support data-driven decision-making processes.
• Collaborate closely with senior leaders in Product, Marketing, Engineering, and Design to ensure decisions are informed by data and have a meaningful impact.
• Lead and mentor team members, spearheading the development of ML-powered features on the Digital Customer Platform.

Minimum Qualifications:

• Advanced degree (MS/PhD) in a quantitative field such as Mathematics, Statistics, or Computer Science.
• Over 5 years of experience in designing and deploying machine learning solutions.
• Expertise in Large Language Models (e.g., RAG, Generative AI) and Natural Language Processing (NLP).
• Strong proficiency in SQL/NoSQL databases, big data platforms like Hadoop and Spark, and programming (Python preferred).
• Hands-on experience with data science tools (e.g., Pandas, Jupyter, TensorFlow) and advanced machine learning techniques.
• Knowledge of cloud computing platforms (AWS) and familiarity with MLOps practices.

Apply NowNearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.

The company is looking to hire a Senior ML Developer to work remotely and drive data-driven decision-making within their digital platform. The responsibilities include uncovering customer behavior insights, developing machine learning models, and collaborating with various teams to ensure decisions are informed by data. Minimum qualifications include an advanced degree in a quantitative field, over 5 years of experience in machine learning, proficiency in SQL/NoSQL databases and programming, and knowledge of cloud computing platforms. Applicants of all backgrounds are encouraged to apply as the company values diversity and equal opportunity.