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Jobs via Dice · 2 days ago

Gen AI architect

Alaska, United States

Full-time

Hybrid

Senior Level, Lead/Staff

8+ years exp

HMG America LLC is a leading Business Solutions focused Information Technology Company seeking a Gen AI Architect. In this role, you will manage consulting projects, lead a team of data scientists, and contribute to business development while ensuring quality and timely outcomes for clients.

Computer Software

Responsibilities

Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution

Work with teams of smart collaborators. Be responsible for their appraisals and career development

Participate and lead executive presentations with client leadership stakeholders

Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life

See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities

Serve as expert in Data Science, build framework to develop Production level DS/AI models

Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients

Lead multiple teams across clients ensuring quality and timely outcomes on all projects

Lead and manage the onsite-offshore relation, at the same time adding value to the client

Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions

Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment

Present results, insights, and recommendations to senior management with an emphasis on the business impact

Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization

Qualification

Data ScienceMachine LearningAI ResearchStatistical ModellingPythonSQLCloud ComputingML FrameworksClient EngagementTeam LeadershipCollaborationContinuous Learning

Required

Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience

8-20 years of experience in data science, building hands-on ML models

Expertise in ML Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning

Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers

Knowledge of programming languages SQL, Python/ R, Spark

Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch)

Experience with cloud computing services (AWS, Google Cloud Platform or Azure)

Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing

Knowledge in GPU code optimization, Spark MLlib Optimization

Familiarity to deploy and monitor ML models in production, delivering data products to end-users

Experience with ML CI/CD pipelines

Knowledge and exposure to Gen AI