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KAnand Corporation

KAnand Corporation

www.kanandcorp.com

1 Job

95 Employees

About the Company

Founded in year 2004, KAnand is a Business and IT Services Organization that delivers Application and Business Process Services to help clients reduce costs, enhance organizational flexibility, and improve their business and IT performance. KAnand provides innovative and cost effective solutions for our clients that help meet their strategic resource requirements. KAnand offers a wide range of Business and IT Services that address diverse needs of our clients which include e-Business solutions, Enterprise Resource Planning (ERP), Business Process Outsourcing, Application development, Application Maintenance, Software customizations, Big Data, Cloud Computing, Cyber Security, SAP HANA, Digital Technologies and Remote Database Administration Services. We currently have multiple offices in US, Canada and India which enables us to provide efficient, timely and cost effective services to our customers. With our unique combination of outsourcing excellence and process improvement expertise, we work with our clients to: * Reduce the total cost of operations by 30-60% * Optimize business processes to maximize performance * Accelerate implementation to quickly deliver measurable results * Minimize business disruption during migration Our comprehensive delivery options enable us to distribute work across global locations to align with clients' cost, speed, and risk requirements. This flexible mix of solutions enables clients to maximize the effectiveness of their applications portfolios - giving them the means to achieve competitive advantage.

Listed Jobs

Company background Company brand
Company Name
KAnand Corporation
Job Title
Machine Learning Engineer (Python, TensorFlow, Pytorch, VLLM ) : Onsite / Hybrid and F2F Interview for Multiple location in canada
Job Description
**Job Title** Machine Learning Engineer (Python, TensorFlow, PyTorch, VLLM) **Role Summary** Design, develop, and deploy AI/ML tooling and automation pipelines to enable efficient dataset evaluation, model fine‑tuning, and performance monitoring. Focus on scripting, process automation, and integration of machine learning workflows with RESTful services. **Expectations** Deliver high‑quality engineering solutions that reduce manual validation, accelerate model training, and provide real-time metrics for model governance. Collaborate cross‑functionally with data scientists, engineers, and product teams to implement scalable, maintainable systems. **Key Responsibilities** - Build and maintain software tools for automated dataset and model output evaluation. - Create scripts and utilities to streamline data annotation, validation, and quality assurance. - Develop monitoring dashboards and performance metrics for AI/ML pipelines. - Design and implement fine‑tuning pipelines for supervised learning models using TensorFlow, PyTorch, VLLM, and related frameworks. - Integrate solutions with RESTful APIs to connect third‑party services and internal tools. - Automate repetitive tasks through custom tooling and scripting. **Required Skills** - Proficient in Python and modern ML frameworks (TensorFlow, PyTorch, VLLM, Llama). - Strong experience in data preprocessing, feature engineering, and model fine‑tuning. - Knowledge of RESTful API integration and service orchestration. - Expertise in scripting and building process‑automation tools. - Ability to design performance monitoring solutions for ML workflows. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. - 8+ years of professional experience in machine learning engineering or related roles. - Familiarity with industry best practices in ML Ops and DevOps principles is advantageous.
Toronto, Canada
Hybrid
Senior
30-12-2025