Are you an AI/ML Engineer who loves to build and implement innovative solutions that create value at scale? If so, you might be the perfect fit for our AI/ML Platform Engineer Lead role.

In this role, you will work with data scientists, engineers, and stakeholders to design, deploy, and operationalize state-of-the-art AI/ML systems that solve complex business problems. You will also drive the innovation of MLOps platforms and processes for the full machine learning lifecycle - from model experimentation, to CI/CD pipelines, to model monitoring and retraining in production environments. You will leverage cloud AI/ML platforms, containerization, automation tools and processes to streamline AI/ML workflows.

Additionally, you will optimize AI/ML solutions for performance, scalability and cost. You will serve models via microservices, APIs and batch scoring pipelines integrated with data products and business applications.

You should have strong expertise in AI/ML platform engineering, modern data platforms, model deployment pipelines, relevant cloud platforms and programming languages like Python. You should also have excellent problem-solving abilities, attention to detail and communication skills.

If you are passionate about pushing the boundaries of artificial intelligence and making an impact by delivering innovative ML solutions, this is the role for you. Join us and help shape the future of AI-driven products and services.

Responsibilities

Collaborate with stakeholders and data scientists to translate business problems and requirements into ML solutions
Engineer end-to-end AI/ML systems from prototyping to production deployment
Design and implement AI/ML pipelines for data ingestion, transformation, model training, evaluation, and inference
Choose and apply suitable ML algorithms and frameworks such as TensorFlow, PyTorch, Keras for model development
Optimize model performance, accuracy and fairness using techniques like hyperparameter tuning, error analysis, and model governance
Deploy and serve models using REST APIs, serverless functions, or microservices
Monitor and maintain AI/ML solutions using AI/MLOps best practices and tools
Enhance model scalability, performance and cost efficiency using cloud AI/ML platforms, containerization, and automation
Build AI/MLOps discipline and practice

Qualifications

Education & Certificates

Bachelor's degree in Computer Science, Information Technology, or related field.
Industry Cloud and AI/ML Engineering level certifications desired

Professional Experience

5+ years of direct experience in AI/ML engineering projects
Experience with LLM refinement and vector database embeddings
Experience with training, evaluating and deploying deep learning models

Competencies & Attributes

Proficiency with common ML and data platforms such as AzureML, Amazon SageMaker, Databricks, and Snowflake
Knowledge of AI/ML pipelines, AI/MLOps concepts and tools
Ability to build production-grade AI/ML solutions with scalability in mind
Experience with MLOps tools and techniques to optimize ML lifecycle management
Experience with ML metadata and artifact tracking platforms such as MLflow
Experience containerizing and deploying models and solutions to cloud platforms like Azure or AWS
Understanding of model governance concepts such model risk analysis, QA, compliance
Experience with building ML technical architecture diagrams encompassing data, model building, operations
Experience with operating end-to-end ML platforms supporting analytics and ML teams
Experience with assessing model technical debt, maintaining pipelines, keeping systems up-to-date
Experience with Python for analytics and ML applications
Proficiency with common Python data analysis libraries like NumPy, Pandas, SciPy
Experience with common Python ML libraries like Scikit-Learn, TensorFlow, PyTorch
Experience with Jupyter Notebooks for ML experimentation and prototyping
Ability to transition ML prototypes to production solutions
Experience with Terraform for IaC of ML infrastructure on Azure, AWS cloud platforms.
Strong problem solving, analytical and communication skills

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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