AIML Subject Matter Expert

Responsibilities:

• 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
• Ensure code security model governance and adherence to Responsible and Explainable AI practices
• Regularly recommend and report on industry trends and solutions to meet evolving client needs regarding techniques tools and technologies for AI/ML integration.

Requirements:

• Masters degree or Bachelors 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.

Desired 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

Halviks pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.