Dice is the leading career destination for tech experts at every stage of their careers. Our client, Halvik, is seeking the following. Apply via Dice today!
Halvik is a highly successful company that puts people first, and we are looking for someone just like you. We are committed to delivering smarter IT-driven solutions bolstered by quality and innovation to help our customers succeed. Come be a part of something truly special!
What You Will Do:
- Responsible for developing and implementing AI/ML solutions to solve complex problems and enhance business operations.
- Define direction of mission-critical solutions using best-fit AI/ML algorithms and technologies Work closely 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. Collaborate with cross-functional teams to deliver world-class solutions for large-scale data processing.
- Guide clients in navigating ML algorithms, tools, and frameworks. 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 their expertise in AL/ML, deep learning, and data analysis.
- Create, train, and maintain intelligent systems to automate processes and improve efficiency. Report on industry trends and recommend solutions for AI/ML integration.
- Design and build ML models solving real-world business problems. Make informed ML infrastructure decisions based on modeling techniques and issues.
- Write and test application code, develop ML models, and automate tests and deployment. Retrain, maintain, and monitor production models.
- Leverage cloud-based architectures to deliver optimized ML models at scale. Construct optimized data pipelines for ML models.
- Implement CI/CD best practices for ML model and application code deployment.
Required Knowledge And Skills
- 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 Google Cloud Platform).
- Experience in fine-tuning LLMs for custom datasets and/or using RAG to augment LLM applications; 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. 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.
Halvik offers a competitive full benefits package including:
Company-supported medical, dental, vision, life, STD, and LTD insurance
Benefits include 11 federal holidays and PTO.
401(k) with company matching
Flexible Spending Accounts for commuter, medical, and dependent care expenses
Tuition Assistance
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.
Senior Data Scientist
