Role name: Machine Learning Engineer - LLM \& MLOps Specialist
Location: Toronto - Hybrid(2-3days)
Duration: 6+months Contract, Extendable
Expereince Level : 7+yrs
Job Description:
Strong experience with Deep Learning and NLP
Hands on working knowledge of inter-facing with LLM APIs and LLM agents, prompts and response
Strong programming skills in languages such as Python, java, or C. Experience with cloud platforms (AWS, GCP, and Azure) and ML Ops tools' 3 years of hands-on experience in machine learning de-velopment, and experience leading a team of machine learning developers or engineers
Strong understanding of software development principles, including design patterns, testing, and deployment.
Experience with DevOps practices such as CICD, experience with containerization using Docker and Kubernetes.
Strong understanding of applica-tion implementation requirements, including risk, privacy, and compliance.
Excellent communication and leadership skills, with the ability to work effectively with cross-functional teamso Previous experience with MLOps orchestration tools such as Air Flow, Kube Flow, Dagster, Flyte, or Met aFlowo Familiarity with machine learning frameworks such as Py Torch, TensorFlow and similar Nice to Have Familiarity with Snowflake, Airflow, or similar orchestration and warehousing platform Understanding of CICD principles, version control, and production deployment best practices
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Regards,
Email: ana@apptoza.com , Phone#: 6788247770