Principal Machine Learning Ops Engineer

The Challenge 

We are seeking a highly skilled and motivated Principal Machine Learning Engineer to join our BizTech team. The ideal candidate will have a passion for driving innovation in machine learning and a commitment to creating best-in-class solutions. To be successful in this role, you should have a strong technical background with a deep understanding of machine learning algorithms and architectures. You should also have experience designing and developing machine learning solutions, working closely with various business stakeholders and engineers to build high-performing models.  

This position requires excellent problem-solving skills, effective communication skills, and an aptitude for working in a fast-paced environment. If you have a passion for technology and a commitment to creating high-quality machine learning solutions, we would love to hear from you. 

Your Mission 

• Understand business requirements and create comprehensive documentation, including technical documentation, process flows, and gap analysis documents.
• You will work closely with business stakeholders, architects and engineers to deliver ML solutions that provide enormous value and efficiency to internal business teams
• You will help develop data-driven, automated, comprehensive solutions using modern software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models - supervised and unsupervised, deep learning and classical etc
• You will apply your highly technical problem solving, creative thinking, beautiful mind using the latest ML techniques and toolsets and make a huge impact on the onetrust Go-To-Market strategy
• Own data exploration and transformation, feature engineering, design and enhance ML models/frameworks that deliver anomaly detection, prediction and recommendation solutions for marketing, sales and finance teams
• Your work will also ensure that business users have the best experience by providing predictive analytics and recommendations for Lead Scoring, Account Scoring, Propensity to Buy, Case Escalation, SNI and others
• You will own to Develop, maintain and enhance ML solutions that are highly usable, scalable and secure
• You will run machine learning tests and improve models based on the training and learnings from them.
• To better comprehend data through exploration and statistical analysis, as well as to spot discrepancies in data distribution that might affect a model’s effectiveness when used in practical situations.
• Coordinate and actively participate in user acceptance testing (UAT) to track and resolve issues, securing end-user acceptance sign-off. 

You Are

This technical role requires a hands-on individual contributor with extensive knowledge and domain expertise, demonstrating proficiency in industry best practices. 

• Bachelor's degree or Master's degree in computer science, Information Systems, or related field (or equivalent work experience)
• 8+ years of experience in modelling and building classic and deep learning solutions for Advanced Analytics, Machine learning and Data Sciences.
• You also should have a product mindset and strong intuition around how ML can drive a better customer experience
• Experience delivering applied machine learning products, including taking a product through design, implementation, and to production  
• You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved
• Knowledge and ability to write complex SQL for processing raw data, data validation and QA
• Languages for coding and programming, such as Python (NumPy, SciPy, Pandas), Java, C++, C, R, and JavaScript.
• Experience working with ML frameworks (TensorFlow, Scikit, XGBoost), ML libraries and packages, such as the Natural Language Toolkit.
• Experience working with diverse ML Platforms like (Amazon, Azure, H2O, RapidMiner)