Job Specifications
About The Role
We are seeking a highly skilled AI/ML Engineer to design, build, and deploy advanced machine learning and Generative AI solutions. This role requires strong hands-on engineering capabilities, deep knowledge of modern AI/ML frameworks, and the ability to translate business requirements into scalable, production-ready systems. You will work closely with cross-functional teams to enable platform adoption, drive automation, and deliver high-impact AI products.
Key Responsibilities
AI/ML Development
Design and implement supervised and unsupervised models including regression, classification, clustering, time-series forecasting, and boosting methods.
Build and fine-tune neural networks such as CNNs, RNNs, and LSTMs.
Generative AI
Develop and integrate solutions powered by LLMs and open-source foundation models.
Optimize model performance, latency, and cost while ensuring model safety and responsible AI practices.
Apply prompt engineering, fine-tuning (LoRA, PEFT), domain adaptation, and evaluation techniques.
Modern Software Engineering
Write efficient, scalable, and maintainable Python code using tools like JupyterLab and VSCode.
Package and deploy solutions using Docker and Kubernetes on cloud platforms including AWS and Azure.
Use Git for version control and enforce SWE best practices.
Model Management & Deployment
Manage full model lifecycle through robust MLOps practices.
Serialize models using Pickle, Joblib, or ONNX.
Deploy models using FastAPI or serverless frameworks, ensuring secure and scalable API endpoints.
Build internal AI applications using Streamlit or front-end technologies (HTML/CSS/JavaScript).
Platform Enablement
Use Databricks to accelerate AI/ML development, automate model workflows, and promote platform adoption.
Support AutoML, feature engineering pipelines, and reusable templates.
Hands-On Expertise
Perform advanced data processing, exploration, visualization, and storytelling.
Work with libraries such as scikit-learn, PyTorch, pandas, polars, NumPy, seaborn, and others for data prep, model building, and insights generation.
Systems Thinking
Approach problems with an end-to-end mindset—data quality, model performance, infrastructure, UX, and downstream application impacts.
Translate business objectives into scalable and reliable technical solutions.
Collaboration & Mentorship
Partner with stakeholders, data teams, product teams, and engineering groups to deliver business value.
Mentor junior engineers and data scientists on data quality, governance, solution accessibility, and AI/ML best practices.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field (preferred).
3-8+ years of experience in AI/ML engineering or data science roles.
Proven experience deploying production-grade AI/ML systems on cloud platforms.
Strong communication and problem-solving skills
***Lumen and / or its clients will not provide equipment (Laptop, monitor, etc.) to the selected contractor. The contractor must have their own equipment. Access to a virtual desktop set up (software) will be provided by Lumen’s client, allowing the user access to the required systems and technology.***
Lumen Solutions Group Inc. is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
About the Company
Lumen Solutions Inc., is a dynamic small and minority-owned, Disadvantaged Business Enterprise headquartered in Virginia, USA. As a leading consulting services and solutions provider, we focus on IT Staffing, Business/IT Strategy, Business Process Blueprints, Enterprise Architecture, Enterprise Transformation for our clients.
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