AI/ML Engineer
InfoyaCanada14 hours ago
Full-timeRemote FriendlyInformation Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
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:
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.
- 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
- 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
Key Skills
Ranked by relevanceReady to apply?
Join Infoya and take your career to the next level!
Application takes less than 5 minutes