Diverse Lynx
AI/ML Engineer
Diverse Lynx, San Antonio, Texas, United States, 78208
Ability to understand a problem statement and implement analytical solutions techniques independently or with minimal supervision
• Work and collaborate with other teams to deliver and create value
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to Client 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
• should have good hands on experience on basic nonlinear Client techniques and able to explain the previous project experience PL language :
Python Qualifications: • 7-12 years of relevant experience in data science, advanced statistics or business analytics • Ability to Client effective solutions to complex problems. Strong skills in data-structures and algorithms. • Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizations • Model building using various statistical tools (Python, etc.) and data modeling techniques using SQL, etc. along with regular validation of models as advised by management. • Grasp at databases including RDBMS, NoSQL, MongoDB etc. • Experience in data mining • Exceptional interpersonal skills and written communication skills • Strong experience in documenting model methodologies, performance and hypothesis testing • Ability to evaluate risks and provide recommendations / solutions in a timely manner • Experience using statistical computer languages (Python) to manipulate data and draw insights from large data sets. Experience working with 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 • Must have MLOps experience
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Python Qualifications: • 7-12 years of relevant experience in data science, advanced statistics or business analytics • Ability to Client effective solutions to complex problems. Strong skills in data-structures and algorithms. • Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizations • Model building using various statistical tools (Python, etc.) and data modeling techniques using SQL, etc. along with regular validation of models as advised by management. • Grasp at databases including RDBMS, NoSQL, MongoDB etc. • Experience in data mining • Exceptional interpersonal skills and written communication skills • Strong experience in documenting model methodologies, performance and hypothesis testing • Ability to evaluate risks and provide recommendations / solutions in a timely manner • Experience using statistical computer languages (Python) to manipulate data and draw insights from large data sets. Experience working with 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 • Must have MLOps experience
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.