Artificial Intelligence Engineer #26-19285

Work Model: Hybrid (4 days onsite, 1 days remote) Duration: 12 Months (Extension & Conversion Possible) Position Summary The AI Engineer is responsible for designing, building, and deploying scalable AI and Machine Learning solutions that improve business processes, enable automation, and enhance decision-making. The role combines software engineering, machine learning, and data engineering expertise to build enterprise-grade AI applications in production environments. Key Responsibilities Design and build end-to-end AI/ML pipelines including: Data peprocessing Feature engineering Model validation Deployment Fine-tune Large Language Model (LLM) applications using frameworks such as: LangChain LangSmith OpenAI APIs Deploy production-ready models using CI/CD pipelines Build scalable APIs and microservices for real-time model serving Implement monitoring for: Model drift Performance Reliability Collaborate with Data Engineering teams to define data requirements Work with structured and unstructured datasets using: Python SQL Spark Pandas Ensure data quality, governance, and security standards Evaluate emerging AI frameworks and technologies Prototype new AI solutions and conduct proof-of-concept experiments Stay current with advancements in: Large Language Models Vector embeddings Multimodal AI Model optimization techniques Partner with Product Managers and business stakeholders to translate business needs into AI solutions Collaborate with Cloud Engineering and DevOps teams for scalable deployments Communicate technical concepts effectively to non-technical audiences Must have Skills: Strong programming skills in Python (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow). Experience with LLMs, NLP, or deep learning. Strong knowledge of MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes. Experience with cloud platforms (AWS/GCP/Azure) and model deployment. Strong understanding of data structures, algorithms, and software engineering best practices. SOFT SKILLS: Strong communication skills (written and verbal) Strong time management Attention to detail and someone who is a self-starter and adaptable Strong documentation skills Strong problem-solving and analytical thinking skills Nice to have: Banking or financial institution experience Agile experience Education: Bachelor’s degree in computer science, Engineering, Mathematics, Business, Accounting, or a related discipline. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

The AI Engineer designs and deploys scalable AI/ML pipelines and production-ready models to automate business processes. This includes fine-tuning LLMs, building microservices for real-time serving, and monitoring model performance and drift.

Candidates must have strong Python programming skills and experience with LLMs, NLP, and MLOps tools like MLflow and Kubernetes. A bachelor's degree in a technical or business field is required, with cloud platform experience being essential.

• Microsoft AzureSouhaitée
• KubernetesSouhaitée
• SQLSouhaitée
• CI/CDSouhaitée
• DockerSouhaitée
• Amazon Web ServicesSouhaitée
• Google CloudSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Large Language Models
• MLOps
• PyTorch
• TensorFlow
• LangChain
• Docker
• Kubernetes
• AWS
• GCP
• Azure
• SQL
• Spark
• Pandas
• NLP
• CI/CD

• Technology
• Software
• Data & Analytics
• Engineering
• Finance & Accounting

Formation minimale

Baccalauréat

Expérience minimale

2+ ans

Postuler avant le

5 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

4 jours par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte