AI/ML Solutions Architect

3 weeks ago

Vienna, West Virginia, United States Halvik Full time
Job Summary

Halvik is a highly successful company that puts people first, and we are seeking a talented AI/ML expert to join our team. As a key member of our organization, you will be responsible for developing and implementing AI/ML solutions to solve complex problems and enhance business operations.

Key Responsibilities

Develop and implement AI/ML solutions to drive business innovation and improve operational efficiency
Collaborate with cross-functional teams to design, develop, and deploy AI models and algorithms that enable data-driven decision making
Conduct statistical analyses using ML techniques for customer-focused solutions
Design, develop, and deploy AI models for data-driven decision making and business innovation
Create intelligent systems that automate processes, improve efficiency, and drive business innovation, leveraging expertise in AL/ML, deep learning, and data analysis

Requirements

Master's degree or Bachelor's of science with 5+ years of industry experience in Computer Science, Software Engineering, Data Science, Statistics, or related STEM field
5+ years of experience in AI, data science, ML engineering, or related fields
4+ years of experience with modern cloud computing technologies (AWS, Databricks, Microsoft Azure or GCP)
Experience in fine-tuning LLMs for custom datasets and/or using RAG to augment LLM applications
Knowledge of multiple ways of tackling AI/ML problems and demonstrated ability to make good initial choices to make systems that perform well more quickly
Experience using Generative AI tools to help in software programming and testing (e.g. VS-Code or GitHub with copilot AI)
Proficiency in SQL, including advanced query techniques
Experience with version control systems (e.g., Git, Github, Jenkins)
6+ years of proficiency in Python and Jupyter notebooks. Experience with other languages such as R, and Scala is a plus but not necessary.
Experience developing and assessing AI/ML models and ensembles
Support the seamless integration of multi-media data processing into platform data pipelines
Experienced in planning, setting-up, running and reporting on AI/ML experiments.
Experience building feature repositories for AI-ML model training
Project work in deep learning, transformers, computer vision, NLP, or chatbot development
Experience in developing Generative AI applications especially using LLMs in domains such as NLP and image processing
Knowledge of modern software design patterns (e.g., microservices, edge computing)
Experience working with LLM frameworks and foundation models like LLaMa-3 and experience working with LLM model repositories like Huggingface
Familiarity with MLOps practices and tools for model versioning and experiment tracking
Experience identifying appropriate AI/ML models for a problem and using appropriate techniques to evaluate performance to choose the best model
Experience with techniques for tuning model parameters to application data and conditions
Abilities

Ability to lead an Agile team of data scientists, engineers, architects and testers
Demonstrated ability to work independently
Strong problem-solving skills and ability to think creatively to overcome technical challenges
Participate in the full machine learning lifecycle, from business understanding, data collection and preprocessing to model selection, evaluation, deployment and monitoring
Adapt to rapidly changing technologies and methodologies in the AI/ML field
Excellent communication, analytical, and interpersonal skills
Ability to gather requirements and work effectively as part of an Agile team
Capacity to explain complex technical concepts to non-technical stakeholders
Excellent technical writing skills
Collaborate with business stakeholders to identify opportunities for AI/ML applications
Develop and maintain documentation for ML models, including methodology, assumptions, and limitations
Mentor junior team members and contribute to the growth of the AI/ML practice
Ability to thrive in a mainly remote work environment
Commitment to continuous learning in the fast-evolving AI/ML landscape and look for ways to apply new techniques when appropriate.
Preferred Qualifications

Having experience and a good understanding of Ux, Human-AI teaming, human factors in AI and software systems
Published research papers or patents in the field of AI/ML
Knowledge of Agentic AI Systems (e.g. AutoGen, LangGraph, LangChain, CrewAI etc.)
Experience with Knowledge Graphs tools and techniques
Experience with federated learning or privacy-preserving machine learning techniques
Knowledge of data visualization techniques and tools
GPU programming experience

What We Offer

Halvik offers a competitive full benefits package including company-supported medical, dental, vision, life, STD, and LTD insurance, 11 federal holidays and PTO, 401(k) with company matching, Flexible Spending Accounts for commuter, medical, and dependent care expenses, Tuition Assistance, and Charitable Contribution matching. Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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