Senior Machine Learning Engineer

LXT is an emerging leader in AI training data to power intelligent technology for global organizations. In partnership with an international network of contributors, LXT collects and annotates data across multiple modalities with the speed, scale and agility required by the enterprise. Our global expertise spans over 145 countries and more than 1000 languages. Founded in 2010, LXT is headquartered in Toronto, Canada with presence in the United States, UK, Egypt, India, Turkey and Australia. The company serves customers in North America, Europe, Asia Pacific and the Middle East.

We are currently seeking a talented and motivated Senior Machine Learning Engineer to join our dynamic Engineering team. As a Senior Machine Learning Engineer, you will play a crucial role in developing and implementing machine learning models and algorithms to solve complex business problems. You will work closely with cross-functional teams to understand requirements, design solutions, and deploy machine learning models into production. Your expertise will contribute to the growth and success of our organization, and enrich our AI, and ML services offering.

Responsibilities:

• Lead the design, development, and implementation of machine learning models and algorithms to solve complex business problems.

• Collaborate with software engineers, and domain experts to gather requirements, define project goals, and identify data sources.

• Conduct exploratory data analysis, data preprocessing, and feature engineering to prepare data for model training.

• Develop and implement scalable and efficient machine learning pipelines and workflows.

• Train, evaluate, and fine-tune machine learning models using state-of-the-art techniques and algorithms.

• Optimize and deploy machine learning models into production systems, ensuring high performance, scalability, and reliability.

• Conduct experiments and A/B testing to measure the performance and effectiveness of machine learning models.

• Stay up to date with the latest advancements in machine learning and related technologies and apply them to improve our machine learning capabilities.

• Mentor and provide guidance to junior members of the team, sharing best practices and knowledge.

• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

Qualifications:

• Bachelor's degree in computer science, Engineering, or a related field.

• Proven professional experience as a Machine Learning Engineer, Data Scientist, or related role, with a focus on developing and deploying machine learning models.

• Strong programming skills in languages such as Python, R, or Java, with experience in data manipulation, analysis, and model development libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch).

• Solid understanding of machine learning algorithms, statistical modeling, and deep learning architectures.

• Experience with data preprocessing techniques, feature engineering, and model evaluation.

• Proficiency in working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark).

• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and knowledge of deploying machine learning models to production.

• Strong problem-solving skills and the ability to apply analytical thinking to real-world challenges.

• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

• Proven ability to lead projects, mentor team members, and drive results in a fast-paced environment.

• Strong understanding of software engineering principles and best practices.

Additional information:

 LXT is an equal opportunity employer and ensures that no applicant is subject to less favorable treatment on the grounds of gender, gender identity, marital status, race, color, nationality, ethnicity, age, sexual orientation, socio-economic, responsibilities for dependents, or physical or mental disability. Any hiring decision is made on the basis of skills, qualifications, and experiences.

We measure our success as a business, not only by delivering great products and services and continually increasing our assets under administration and market share but also by how we positively impact people, society, and the planet.