AI/ML Engineer

1 day ago

Toronto, Canada Infoya Full time

Seeking a highly skilled and motivated AI/ML Engineer with expertise in Machine Learning, Statistics, and Generative AI to join our team. The ideal candidate will have extensive experience in building and productionizing data science/GenAI use cases and a strong understanding of ML Ops and Cloud-based ML orchestration services.

As an AI/ML Engineer, you will be responsible for developing cutting-edge AI/ML solutions, particularly in the field of Anomaly Detection, Natural Language Processing (NLP) and Large Language Models (LLMs).

Key Responsibilities:

- Develop and deploy Machine Learning models to solve real-world business challenges.

- Design and implement Generative AI solutions with a focus on NLP and LLMs.

- Work on end-to-end ML workflows, including data preprocessing, model training, evaluation, and deployment.

- Leverage ML Ops best practices to automate and optimize model deployment, monitoring, and retraining.

- Utilize cloud-based ML orchestration services (e.g., Vertex AI, AWS SageMaker, or Azure ML) for scalable model deployment.

- Develop and analyze SQL queries for data extraction, transformation, and aggregation.

- Stay updated with the latest advancements in Generative AI, NLP, and Data Science.

Requirements

- 5+ years of experience in developing and deploying Machine Learning models in production.

- Strong expertise in Time Series Forecasting, Generative AI, NLP, and LLMs.

- Proficiency in Python and relevant ML/GenAI frameworks (e.g., TensorFlow, Langchain, Llamaindex, ADK).

- Hands-on experience with ML Ops tools and Cloud-based ML platforms (preferably on GCP).

- Strong background in developing deep learning and neural network-based models for various AI applications.

- Solid understanding of probability, statistics, and mathematical modeling.

- Experience with different types of ML modeling approaches, including supervised, unsupervised, and reinforcement learning techniques.

- Experience working with big data processing frameworks (Apache Beam, Pyspark or similar) is a plus.

- Experience with scheduling tools (Cloud Composer or similar) is a plus.

- Proactively solutioning the problems.

Benefits

- Competitive salary and benefits package.

- Opportunity to work with a diverse and talented team.

- Professional development and growth opportunities.

- A dynamic and collaborative work environment.

- Hybrid work options.

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