Machine Learning Lead

To be an independent Machine learning lead who will address business problems by providing innovative solutions through predictive models and machine-learning algorithms to drive intelligence, insights and improvements.

Key Responsibilities:

• Understand and analyze business problems and processes and build solutions with Machine Learning/AI techniques including Deep learning techniques
• Qualitative review of model development process
• Training and testing different ML/DL algorithms, performing iterative experiments with different techniques to discover the best performing algorithm
• Deploy ML Algorithms into Production
• Documentation of validation findings and communication of results to senior management and presentation to relevant committees.

Key Expertise:

• 4 – 8 years of strong knowledge and hands-on experience with machine learning
• Expertise in Deep Learning (LSTM, RNN, CNN, GAN, etc.), Support Vector Machines; Regularization Techniques; Boosting, Random Forests, Ensemble Methods, image/video/audio processing, Bayesian modeling, time series modeling
• Excellent in one or more of the following languages: Python or R
• Adept at advanced tools like TensorFlow, keras, pytorch, deepai or equivalent
• Data manipulation, wrangling, cleansing, and analysis on structured and unstructured data, querying data from Data lake and DB
• Ability to handle structured /unstructured data like Text, Image and have prior experience in loading, validating and cleaning various types of data
• Assembling data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems
• Analyze large amounts of information to discover trends and patterns
• Ability to evaluate conceptual soundness of model specification, reasonableness of assumptions and reliability of inputs and risk measures associated with use of model
• Managing internal stakeholders on model issues, achieving suitable resolutions
• Experience in working directly with business stakeholders to translate business requirements to needs from data and analytics standpoint

 Qualifications and Skills:

• BA/BS/PG in Business, Engineering, Statistics, Computer Science or Mathematics
• Advanced degrees and certifications preferred.
• Should possess good interpersonal skills and strong communication skills
• Innovative and always looking for continuous improvement
• Strong problem-solving and analytical skills
• Be self-driven and ability to deal with ambiguity in terms of incomplete data.
• Should be a strong team player & able to work on ambiguous environment with minimal guidance