Data Scientist - Generative AI - (Remote)

Job summary

Design, develop, evaluate, and deploy scalable machine learning solutions for generative AI, recommender systems, and natural language processing, including LLMs and RAG frameworks. Analyze large datasets, use AWS and SageMaker for model training and deployment, collaborate with cross-functional teams, and communicate findings and recommendations to stakeholders.

Job details

Job Title: Data Scientist - Generative AI Experience: 4 to 5 Years Work Model: 100% Remote (Canada) Employment Type: T4 Contract Rate: CAD 75 to 80 per hour Role Summary We are hiring for a Data Scientist - Generative AI role where the selected candidate will work on a client project focused on advanced AI solutions, including generative models, recommender systems, and data-driven insights. The role involves machine learning, scalable AI systems, and the development of AI/ML solutions. Key Responsibilities Design, develop, and deploy machine learning solutions for generative AI, recommender systems, and natural language processing. Analyze large datasets using SQL, Spark, and NoSQL databases to generate insights that support business decisions. Build, evaluate, and optimize machine learning models for classification, clustering, and recommendation tasks. Write clean, well-documented, and scalable code in Python for AI/ML workflows. Implement and fine-tune Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks. Work with cross-functional teams to translate business problems into ML solutions. Leverage cloud platforms, including AWS and SageMaker, for scalable model training and deployment. Present technical results and recommendations effectively to both technical and non-technical stakeholders. Must-Have Skills MS/PhD in Mathematics, Statistics, Computer Science, or a related quantitative field. 4 to 5 years of industry experience in data science or applied machine learning. Strong programming skills in Python with experience using pandas, Jupyter, scikit-learn, and TensorFlow. Proficiency in SQL and familiarity with big data platforms including Hadoop, Spark, and Hive. Experience working with relational and NoSQL databases. Solid understanding of ML techniques including classification, clustering, optimization, and dimensionality reduction. Hands-on experience with Generative AI, LLMs, and RAG frameworks. Experience with recommender systems design and development. Knowledge of cloud computing, specifically AWS and SageMaker. Excellent communication skills to convey technical concepts to non-technical audiences. Nice-to-Have Skills Familiarity with MLOps and experience optimizing ML workflows in production environments. Prior experience leading research and contributing to publications. Knowledge of advanced AI context protocols and distributed AI systems. Strong problem-solving mindset with the ability to work in a fast-paced environment. Interested in this opportunity? Apply now, and our recruitment team will review your profile and reach out if it aligns with client requirements. We value every application and aim to respond to those closely matching the role criteria. Even if you don t hear back this time, we encourage you to stay connected with us for future opportunities. About TechedIn TechedIn is a global IT staffing and technology services firm helping enterprises build high-performance tech teams. We support innovation at scale by connecting skilled professionals to leading companies and impactful projects. We prioritize transparency, responsiveness, and the right fit. Diversity & Inclusion At TechedIn, we welcome applicants of all backgrounds, communities, and experiences. Our commitment to diversity, equity, and inclusion drives us to create hiring experiences that are open, fair, and human-first.

What you’ll do

Design, develop, evaluate, and deploy scalable machine learning solutions for generative AI, recommender systems, and natural language processing, including LLMs and RAG frameworks. Analyze large datasets, use AWS and SageMaker for model training and deployment, collaborate with cross-functional teams, and communicate findings and recommendations to stakeholders.

Requirements

Requires a master’s or doctoral degree in a quantitative field and 4 to 5 years of industry experience in data science or applied machine learning. Candidates should have strong Python, SQL, big data, database, machine learning, generative AI, recommender systems, and AWS/SageMaker experience, along with effective communication skills.

Listed skills

• Python · Preferred
• Machine learning · Preferred
• SQL · Preferred
• Amazon Web Services · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Generative AI
• Machine Learning
• Large Language Models
• Retrieval-Augmented Generation
• Recommender Systems
• Natural Language Processing
• SQL
• Spark
• Hadoop
• Hive
• NoSQL Databases
• AWS
• SageMaker
• TensorFlow
• Scikit-Learn

Job areas

• Data & Analytics
• Technology
• Software
• Science & Research

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