Description
Job Description: Job Title: AI/ML Engineer Job location: Mississauga, ON – Canada (Hybrid) Can consider remote work if non-local and fits the requirement well. Looking for hands-on on both traditional as well as GenAI. Responsibilities: • As part of the Global Reconciliation Utility (GRU) and Data Engineering team, this role will be responsible for development and implementation of GRU ML models strategies. • Lead ideation, technical development, and launch of innovative AI ML models and ensure the design and usage adheres to the overall architecture blueprint. • Undertake preprocessing of structured and unstructured data • Analyze substantial amounts of information to discover trends and patterns. • Build predictive models and machine-learning algorithms. • Combine models through ensemble modeling. • Present information using data visualization techniques. • Propose solutions and strategies to business challenges. • Collaborate with engineering and operational teams to ensure ML Models success and integration. • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions. • Define ML Models roadmaps and schedules in collaboration with technical and business teams. • Facilitate the creation and maintenance of proper ML Models documentation. • Foster strong relationships with key stakeholders and external partners to support ML Models development. Qualifications: • AI/ML Development and Big Data experience • Expertise with data reconciliations, data quality, large data processing and controls • Expertise leading large scale Enterprise Transformation initiatives with a clear track record of success. • Ability to articulate intricacies of Technology Architecture • Deep functional and technical experience in Capital Markets across Front Office, Middle Office, Operations, Risk & Finance. • Demonstrated leadership, management, and development skills. • Experience with predictive analytics using large and complex datasets. • Enthusiastic about AI and ML optimizations and open-source technologies Skills required: • Strong problem-solving skills with an emphasis on ML Models development. • Experience working with and creating data architectures. • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. • Excellent written and verbal communication skills for coordinating across teams. • A drive to learn and master innovative technologies and techniques. • familiar with the following software/tools: o Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining etc. o Experience querying databases and using statistical computer languages: R, Python, SQL. o Experience using web services: Redshift, S3, Spark o Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. o Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL / o Experience with BI tools: Tableau, QlikView. About Us: HCLTech is a global technology company founded in 1976, it has grown to become a major player in the IT services industry, offering a wide range of services including digital, engineering, and cloud solutions. With a presence in 60 countries and over 220,000 employees, HCLTech is dedicated to driving innovation and delivering value to its clients worldwide. As of 2024, HCLTech reported revenues of approximately $13 billion. Recent Highlights: HCLTech has been recognized as a leader in the 2024 Gartner® Magic Quadrant™ for Managed Network Services. The company has partnered with Children’s Minnesota to modernize healthcare operations using AI
