AI Engineer-Banking

Are you an experienced AI Engineer ready to drive innovative solutions? Apply Now! Working with one of our top financial clients, this role calls for an AI Engineer-Banking who will be responsible for designing, building, and deploying AI/ML solutions that enhance business processes, improve decision-making, and enable automation. This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments. Responsibilities Develop end-to-end AI and ML pipelines, including data preprocessing, feature engineering, validation, and deployment. Fine-tune LLM-based applications utilizing frameworks such as LangChain, LangSmith, or OpenAI APIs. Deploy models into production environments using CI/CD pipelines. Build scalable microservices or APIs to serve ML models in real-time. Implement monitoring systems for model drift, performance, and reliability. Collaborate with data engineering teams to define data requirements. Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, and similar tools. Ensure data quality, governance, and security standards are maintained. Evaluate and incorporate new AI frameworks, tools, and techniques. Prototype solutions and run feasibility experiments. Stay updated with advancements in LLMs, vector embeddings, multimodal AI, and model optimization. Partner with product managers and business teams to translate business needs into AI solutions. Coordinate with cloud engineers and DevOps teams for scalable deployment. Communicate complex technical concepts effectively to non-technical stakeholders. Desired Skill-Set Strong programming in Python with experience in NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow. Experience with LLMs, NLP, or deep learning projects. Solid knowledge of MLOps tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes. Familiarity with cloud platforms (AWS, GCP, Azure) and model deployment procedures. Deep understanding of data structures, algorithms, and software engineering best practices. Excellent written and verbal communication skills. Proven ability to manage time effectively and prioritize tasks. Attention to detail, self-starter attitude, and adaptability. Strong documentation skills. Problem-solving and analytical thinking capabilities. Nice to Have Experience working in banking or financial institutions. Prior experience with FI. Agile methodology experience. BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled. Privacy Policy

Design, build, and deploy end-to-end AI/ML pipelines and LLM-based applications to enhance banking business processes. Develop scalable microservices and implement monitoring systems for model performance and reliability.

Requires strong Python programming skills and experience with deep learning frameworks and MLOps tools. Candidates should be proficient in cloud platforms and have a deep understanding of software engineering best practices.

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

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

• Python
• LLMs
• MLOps
• PyTorch
• TensorFlow
• LangChain
• Docker
• Kubernetes
• AWS
• GCP
• Azure
• SQL
• Spark
• Pandas
• Scikit-learn
• NLP

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

Expérience minimale

2+ ans

Postuler avant le

5 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Entry level

Mode de candidature

La candidature directe est offerte