Job Description

IO Data Labs is hiring for a Senior Machine Learning Engineer. we are Canada based Organization seeking for a candidate with strong technical background. Apply Now

Note: NO Freshers, No intern, only experienced candidate is reqd

Job Title: Senior Machine Learning Engineer

Required Experience: 4-6 years

Location: Remote

Timing: 6:30pm-2:30am

Experience:

5+ years in AI/ML engineering, with significant experience in conventional ML. Proven expertise in building ML models (e.g., Scikit-learn, XGBoost). Experience with fine-tuning generative AI models (e.g., Hugging Face, TensorFlow, PyTorch) is a plus but not mandatory. Previous experience with sports-related datasets, particularly Cricket or Football, is a plus but not mandatory.

Technical Skills:

Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong knowledge of conventional ML algorithms (e.g., regression, decision trees, SVMs) and familiarity with generative AI architectures (e.g., transformers, GANs). Experience with data preprocessing, feature engineering, and handling large datasets. Familiarity with cloud platforms for model training and deployment, with Azure experience as a strong plus. Knowledge of MLOps practices, including model versioning, monitoring, and CI/CD pipelines. Experience with computer vision, natural language processing, or text generation is a plus. Domain Knowledge: Familiarity with Cricket or Football analytics, biomechanics, or performance metrics is an advantage but not required. Soft Skills: Strong problem-solving and analytical skills. Effective communication and collaboration skills for cross-functional and global teamwork. Ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications:

Experience fine-tuning large language models or generative AI for domain-specific applications. Experience developing evaluation frameworks for generative AI models. Familiarity with Azure cloud services (e.g., Azure Machine Learning, Azure Kubernetes Service, or Azure Data Lake) for model development and deployment. Experience with real-time or streaming data for sports applications. Knowledge of reinforcement learning or multimodal AI models. Familiarity with sports technologies, such as player tracking systems or wearables. Contributions to open-source AI/ML projects or published research in relevant fields.
Job Types: Full-time, Permanent

Pay: ₹600,000.00 - ₹1,200,000.00 per year

Work Location: Remote