Data Scientist - Generative AI
Data Scientist - Generative AI
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Job Description
Data Scientist - Generative AI
100% Remote Canada (covering EST/PST timezones)
Experience: 4 Years
Role Summary: NearSource is looking for a Data Scientist - Generative AI with expertise in advanced machine learning large language models and scalable data solutions. The selected candidate will design and deploy AI-driven systems for enterprise-grade platforms collaborating with global teams to deliver impactful innovation.
Key Responsibilities
- Design and implement scalable machine learning models with a focus on Generative AI and LLMs
- Architect and optimize data pipelines leveraging big data platforms such as Hadoop Spark and Hive
- Develop high-quality well-documented and production-ready code in Python and related technologies
- Drive experimentation using advanced ML techniques including classification clustering optimization and dimensionality reduction
- Integrate AI/ML solutions with relational and NoSQL databases for enterprise-scale systems
- Apply data science toolkits (pandas Jupyter scikit-learn TensorFlow) to deliver actionable insights
- Collaborate with cross-functional engineering teams to design and enhance recommender systems and AI-driven protocols
- Leverage cloud computing platforms (AWS SageMaker) for model training deployment and scaling
- Communicate technical findings effectively to both technical and non-technical stakeholders
Must-Have Skills
- MS/PhD in Mathematics Statistics Physical Sciences Computer Science or related fields
- 4 years of hands-on experience in designing and deploying ML-based solutions
- Strong proficiency with Python and SQL
- Experience with relational and NoSQL databases
- Expertise in big data platforms (Hadoop Spark Hive)
- Proficiency with ML frameworks and toolkits (pandas Jupyter scikit-learn TensorFlow)
- Experience with Generative AI LLMs (RAG NLP) and context protocol design
- Ability to write scalable production-grade and well-documented code
- Familiarity with AWS cloud services including SageMaker
- Strong communication skills for technical and non-technical presentations
Nice-to-Have Skills
- Familiarity with MLOps practices for optimizing ML workflows in production
- Experience designing recommender systems for enterprise applications
- Exposure to distributed systems and advanced AI model optimization techniques
- Experience leading research projects with publications in AI/ML domains
- Knowledge of containerization and orchestration (Docker Kubernetes)
Apply now or share your resume with salary expectations at . Thank you for considering a career with us! Once you submit your application our Talent Acquisition team will review your resume thoroughly. If theres a strong match well reach out to discuss your experience role details benefits compensation and next steps. While we strive for transparency we may not be able to respond to every applicant due to high volume but we genuinely appreciate your time and interest.
About NearSource: NearSource Technologies is a trusted partner for future-ready software consulting enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the worlds most admired brands working directly on long-term client initiatives.
Equal Opportunity Statement: NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race gender religion sexual orientation age disability or background. Innovation thrives when everyone feels empowered to contribute.
Employment Type
Full Time
