Turnkey Lender

Requirements:

- Experience or knowledge in administering cloud platforms: AWS, Azure, Google cloud platform

- Excellent Knowledge of Windows Servers - administration/configuration

- SQL Databases (MSSQL, ORACLE, PostgreSQL) - administration/configuration/SQL development

- Experience in programming using script languages (Bash, Python, PowerShell)

- Solid understanding CI/CD (Jenkins)

- Experience working with HighLoad systems

- Experience working with WEB-servers - administration/configuration (IIS/nginx)

- Good written English

As a plus:

- Docker/Kubernetes

- Groovy

- Knowledge of security compliances, best practices for Cloud and On-prem platforms

Responsibilities:

- Support of existing and development of new infrastructure(Azure, AWS, VMWare, Bare metal)

- Support of existing and development of new CI/CD procedures(Jenkins/Groovy)

- Support and updating(developing) monitoring/alerting system(Prometheus, Grafana, Zabbix, InfluxDB)

- Support and development log collecting/analyzing system(ELK Stack)

- Support all database servers(backup/restore/cope etc) (MSSQL/PostgreSQL)

- Support, develop, and monitoring all network infrastructure on the project(Load Balancers, VPN servers, Application Gateways)

- Support Dev/BA/QA teams

We are looking for a detail-oriented Technical Business Analyst to join our team at TurnKey Lender. In this role, you will analyze, design, and optimize business processes within our financial solutions, collaborating closely with cross-functional teams to ensure seamless system integrations. If you have strong analytical skills, experience with UML modeling, SQL, and a passion for automation and process improvement, we’d love to hear from you!

Requirements:
• 2+ years of experience in system or business analysis;
• Object modeling using UML;
• Experience with typical integration patterns via DB, API, standard protocols (SOAP);
• Strong analytical and systems thinking skills;
• Development or Architecture experience;
• Problem solving, attention to details and result-oriented abilities;
• Experience in implementing automation processes and best practices in development processes of the Product;
• Experience in Workflow Design;
• Experience in Business Process and Decision Flow Reengineering/Analysis;
• Experience in creating functional specifications;
• Strong skills working as part of a project team;
• Good spoken and written English.

Will be a plus:
• Analytical and communications skills necessary to gather and define business requirements and translate them into solutions;
• Ability to facilitate workshops with financial (lending\collection) organizations;
• Loan origination/P2P/Supply Chain Finance etc. experience;
• Knowledge of Jira, Confluence.

Responsibilities:
• Business process analysis & design;
• Design & configure business processes in Financial area;
• Support the delivery of a complex and highly integrated financial information system;
• Establish business analysis and systems requirements.

Required skills:
• SQL (MSSQL/ORACLE/PostgreSQL);
• UML;
• HTML, XML.

We are looking for an AI Modeller to help us design and develop robust AI and machine learning models that solve real-world problems and enhance our product capabilities.

AI Modeller responsibilities include building, training, and validating machine learning models, collaborating with cross-functional teams, and staying up to date with the latest advancements in AI/ML. If you have a strong background in data science, experience with deep learning frameworks, and a passion for innovation, we’d like to meet you.

Ultimately, you will contribute to the creation of intelligent systems that are scalable, efficient, and impactful.

Responsibilities:

• Design, develop, and deploy machine learning and deep learning models
• Work with large datasets to extract meaningful insights and train algorithms
• Collaborate with engineers and product teams to integrate AI solutions 
• Conduct research and experiment with new modeling approaches and technologies
• Optimize models for performance, accuracy, and scalability
• Document model architecture, data pipelines, and experimental results

Requirements:

• 2+ years of experience in machine learning, data science, or AI-related fields
• Strong knowledge of Python and ML libraries
• Solid understanding of data preprocessing, feature engineering, and model evaluation
• Experience with cloud platforms  for ML model training and deployment
• Familiarity with MLOps tools and practices is a plus (e.g., MLflow, Kubeflow, Docker, Kubernetes)
• Experience in NLP, computer vision, or time series analysis is a plus

• Hands-on experience with GenAI technologies such as:

  - Large Language Models (LLMs) like GPT, Claude, LLaMA, Mistral, etc.

  - Using APIs from OpenAI, Anthropic, Cohere, or Google Vertex AI

  - Working with Hugging Face Transformers, LangChain, LlamaIndex, or RAG (retrieval-augmented generation) frameworks

  - Fine-tuning or adapting foundation models using techniques like LoRA, prompt tuning, or instruction tuning

  - Implementing embedding models and vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and similarity tasks

• Strong analytical and problem-solving skills
• Good spoken/written English