Industry/Sector: Insurance, Reinsurance, or Financial Services

Responsibilities

• Design, train, and deploy ML and LLM models using modern frameworks.
• Implement scalable data pipelines and model monitoring systems.
• Collaborate on prompt engineering, token optimization, and semantic search.
• Ensure model fairness, transparency, and compliance with AI safety standards.
• Contribute to technical documentation and internal knowledge sharing.

Requirements

• Minimum 5 years of experience in ML/AI engineering.
• Strong proficiency in:
  
  • Python, PyTorch, TensorFlow
  • LangChain, LangGraph, HuggingFace Transformers
  • OpenAI, Anthropic Claude, VertexAI
  • Vector databases (e.g., ChromaDB, MilvusDB, PGVector)
  • MLOps tools (e.g., Prefect, Flyte, Kubernetes)
  • NLP and Computer Vision techniques
  • Cloud platforms (AWS, Azure)
• Experience with CI/CD, testing, and monitoring best practices.
• Familiarity with Agile delivery and cross-functional collaboration.
• Eligibility to work in near-shore/CEE or remotely with EU client compliance
• Certification in AI/ML is a plus but not mandatory.

Language

• C1+ (Advanced or higher)

Type of Work‍

• Remote
• Full-Time

Working Time

• Between 08:00–18:00 Central European Time

Industry/Sector: Insurance, Reinsurance, or Financial Services

Responsibilities

• Design, develop, and deploy ML/LLM-based solutions using Palantir Foundry and AIP
• Collaborate with data scientists, engineers, and business stakeholders to define AI-drivenuse cases
• Implement scalable data pipelines and model training workflows
• Integrate LLMs into business applications using LangChain, OpenAI APIs, or similar frameworks
• Support model evaluation, monitoring, and continuous improvement
• Document technical designs and contribute to knowledge sharing

Requirements

• Minimum 5 years of experience in ML/AI engineering.
• Hands-on experience with Palantir Foundry and/or AIP
• Understanding of Palantir’s ontology and object model for organizing complex data structures.
• Proficiency in Python, PySpark, and ML frameworks (e.g., TensorFlow, Hugging Face Transformers)
• Experience with LangChain, OpenAI, or similar LLM integration tools
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Strong problem-solving skills and ability to work in cross-functional teams
• Certification in AI/ML is a plus but not mandatory.
• Eligibility to work in near-shore/CEE or remotely with EU client compliance

Language

• C1+ (Advanced or higher)

Type of Work‍

• Remote
• Full-Time

Working Time

• Between 08:00–18:00 Central European Time

‍

Our client specializes in developing software solutions to optimize and enhance customers' profits by delivering practical solutions that meet market demands with a presence in Lebanon, Cyprus, Saudi Arabia, the UAE, Qatar, the USA, and Europe.

Role Description

The Java Backend Developer will be responsible for software development, creating microservices, programming, utilizing the Spring Framework, and working with Java daily to build efficient and effective solutions.

Qualifications

• Software Development and Programming skills
• Experience with Microservices and the Spring Framework
• Proficiency in Java programming
• Strong problem-solving and analytical skills
• Knowledge of database technologies, SQL, and Oracle database
• Ability to work collaboratively in a team environment
• Bachelor's degree in Computer Science or related field

Languages

• English - ‍B2 (Upper-Intermediate)

Type of work

• Remote, full-time.

Time Zone 

• CET (Central European Time)

Our client is a leading international investment fund that leverages data and technology to develop advanced financial strategies. Their focus is on generating high-quality predictive signals (‘alphas’) to identify market opportunities. The company fosters a data-driven, fast-paced, and collaborative environment where technical expertise is essential to maintaining the stability and performance of critical systems.

As a Build & Release Engineer, you will play a key role in supporting, maintaining, and enhancing the developer tooling and deployment infrastructure used by engineering and research teams across the organization. You’ll work collaboratively with a global team to streamline build pipelines, optimize packaging systems, and ensure a smooth software release process. Your work will be critical in improving the efficiency and reliability of software delivery for Python, C++, and Java codebases, enabling innovation and productivity across the firm.

You’ll be responsible for debugging and resolving complex build system issues, managing software dependencies, and developing proprietary tools that enhance the scalability and robustness of our software development lifecycle. This role is ideal for someone who enjoys solving technical challenges, values clean and efficient code, and is excited to work in a collaborative and globally distributed team environment.

The right candidate will be able to work independently to implement requested features and advance the architecture of an important internal application.

Technologies: Python, Docker, Kubernetes, Linux, Nix, SQL, Ansible, Prometheus, Grafana.

Responsibilities

• Work closely with a global team of engineers to support, enhance, and expand company-wide developer tooling and build and deployment systems and infrastructure;
• Collaborate with engineering and research teams to improve developer build and deployment experience;
• Assume ownership and ensure reliability of existing and new build and release pipelines;
• Assist with package and release software requested by the client`s users;
• Work with users and the team to troubleshoot and address issues for a variety of software; debug and resolve library dependency, build systems and deployment issues for Python, C++, and Java codebases;
• Develop and ensure quality of documentation and build tools to facilitate user experience;
• Create proprietary solutions to increase stability and scalability of the build, test, and deploy portions of the firm’s SDLC processes.

Requirements

• Excellent interpersonal and organizational skills, approachable personality;
• Good analytical skills and passion for solving problems in pragmatic ways with a sense of urgency;
• Experience with build systems, software packaging, and package managers;
• Experience with software build automation systems, experience with Nix (nixpkgs, NixOS) is a big plus;
• Proficiency in Linux (shell tools, bash, understanding of file systems and networking);
• Proficiency in Python, ability to write clean code and tests, ability to debug code;
• Experience debugging build systems: Make, CMake, Bazel, etc.;
• Proficiency with Git and experience with CI/CD pipelines.

Nice To Have Experience with:

• Background in multiple programming languages;
• Infrastructure management (Ansible);
• Cloud computing and containerization;
• Configuration and support of Nginx;
• Configuration and use of monitoring systems (Prometheus, Grafana).

English

• English level B2+ (Upper-Intermediate or higher)

Type of Work‍

• Remote
• Full-Time

Time zone

• Europe (CET)

Our client is a leading international investment fund that leverages data and technology to develop advanced financial strategies. Their focus is on generating high-quality predictive signals (‘alphas’) to identify market opportunities. The company fosters a data-driven, fast-paced, and collaborative environment where technical expertise is essential to maintaining the stability and performance of critical systems.

The right candidate will be able to work independently to implement requested features and advance the architecture of a crucial internal application.

You will be responsible for developing and maintaining microservice web applications deployed in Kubernetes environments. A key part of the role involves identifying and troubleshooting deployment performance issues to ensure optimal system functionality. You will also contribute to advancing the company’s monitoring and alerting stack by creating and presenting detailed design specifications. Additionally, you will write clean, well-designed, and testable code that adheres to best practices and supports long-term scalability.

Technologies: Python (Django), Docker, Kubernetes, Linux. Full-stack Python with Django framework. JS (React) would be excellent. Focus on back-end (asyncio / parallelization), Docker and Kubernetes (less priority), Linux (strong)

Responsibilities

• Develop and maintain microservice web applications deployed in Kubernetes;
• Be able to detect and troubleshoot deployment performance issues;
• Advance the company’s monitoring and alerting stack, create and present the design specifications;
• Write well-designed, testable code.

Requirements

• Expertise in Python and the Python Django framework;
• Expertise with asyncio library and concurrent Python programming;
• Solid background in Linux environments;
• Experience with Postgres;
• Familiarity with Ansible or other infrastructure-as-code tools;
• Demonstrated experience in developing scalable and robust web applications, hands-on experience with containers and Kubernetes, or cloud deployments;
• Excellent debugging and problem-solving abilities, passion for learning and advancing your skills.

Nice To Have Experience with:

• Monitoring and alerting tools (like Sentry, Prometheus, and Grafana).
• Log collection and aggregation;
• Queueing systems (like Kafka);
• JavaScript (React, NPM, jQuery).

English

• English level B2+ (Upper-Intermediate or higher)

Type of Work‍

• Remote
• Full-Time

Time zone

• 4-hoFor European candidates, the working hours will be 9 AM to 5 PM CET. For candidates from Mexico, a 4-hour overlap with 9 AM to 5 PM CET will be sufficient.ur overlap with 9 AM to 5 PM CET will be sufficient.

‍

We are now seeking an intern to help us connect with clients from the US and Canada and expand our business.

‍What You’ll Do

• Research potential clients and build prospect lists.
  
• Reach out to prospects via LinkedIn, email, and other channels.
  
• Qualify leads and schedule meetings for senior sales managers.
  
• Update and maintain client information in CRM.
  
• Work with the marketing team on lead generation activities.
  
• Conduct market and competitor research.
  
• Analyze markets and develop Go-To-Market strategies together with your mentor.
  

What We’re Looking For

• Strong communication skills and a desire to learn.
  
• Interest in new technologies and the IT industry.
  
• Willingness to develop in business development and sales.
  
• Open to new approaches and not afraid to try new things.
• Nice to have (but not required): experience with LinkedIn, Sales Navigator, or email campaign tools such as Outreach, Snov.io, or Apollo.

What You’ll Gain

• Mentorship and full support throughout the internship.
  
• Hands-on experience with real clients and sales activities.
  
• Learn how to run client meetings and identify target audiences.
  
• Gain skills in cold outreach and selling high-tech solutions.
  
• A chance to grow into a permanent SDR or Account Executive role.
  

Languages

• English level B2+ (Upper-Intermediate or higher)
• Nice to have Ukrainian or Russian.

Type of Work‍

• Remote
• Unpaid Internship
• Half-Time (flexible hours)
• 6 Months with a possible promotion to a full-time role

Time zone

• eastern Time

How to Apply

‍Send your resume and a short cover letter explaining why you are interested in this role and why you’d be a great fit.

‍

Our client is a leading international investment fund specializing in leveraging data and technology to refine financial strategies. Their core mission is to generate high-quality predictive signals (‘alphas’) to identify market inefficiencies and opportunities.

The company fosters a data-driven, fast-paced, and collaborative environment where engineers play a vital role in maintaining system stability and performance. This position combines technical problem-solving, operational support, and automation and requires a strong understanding of Linux, Python, and SQL.

The Data Operations Engineer will be responsible for improving the reliability and performance of the customer’s data pipeline. This role involves working closely with researchers, data strategists, operations, and engineering teams to ensure smooth data processing from various vendors and market sources.

Requirements

Technical Skills:

• Proficiency in Python or C++ (Perl is a plus but not required).
• Strong SQL skills; experience with PromQL is a plus.
• Experience with Bash, Git, and Regex.
• Strong Linux/Unix skills, including debugging in a terminal, working with logs, and writing Bash scripts.

Soft Skills:

• Strong communication skills in English (oral and written).
• Ability to analyze complex problems, determine root causes, and implement solutions.
• A positive, team-oriented attitude with a strong work ethic.

Additional Considerations:

• Prior experience in financial services or data science is beneficial but not mandatory.
• Must be adaptable to fast-changing environments.

Responsibilities

• Monitor and support daily data pipeline operations, ensuring reliability and efficiency in a fast-paced environment.
• Troubleshoot real-time trading alerts while managing research-driven workflows.
• Investigate, escalate, and resolve data issues related to structure, quality, and availability.
• Enhance process efficiency by developing SDKs, runbooks, and automation scripts.
• Collaborate with internal teams and external vendors to address operational needs and improve workflows.

English

• ‍B2 (Upper-Intermediate)

Type of work

• Remote, full-time.

Time zone

• Working schedule Mexico time: till 18.00 daily; Sundays: 14.00 - 18.00 on duty 1-2 times a month (3 engineers on a rotation basis)

Our client is a leading international investment fund that leverages data and technology to develop advanced financial strategies. They focs on generating high-quality predictive signals (‘alphas’) to identify market opportunities. The company fosters a data-driven, fast-paced, and collaborative environment, where technical expertise is essential to maintaining the stability and performance of critical systems.

This role operates at the intersection of L1 and L2 support, with elements of L3 responsibilities, requiring strong debugging skills, analytical thinking, and a proactive approach to problem-solving.

Technologies

• Operating Systems: Linux (administration, monitoring, troubleshooting)
• Programming: Python (backend development, automation, API integration), Bash scripting
• Databases: SQL (relational databases, querying, troubleshooting)
• Infrastructure & DevOps: Kubernetes (preferred), networking, service-oriented architectures

Requirements

Programming & Scripting:

• Strong proficiency in Python (professional experience required)
• Experience with SQL (querying, troubleshooting)
• Bash scripting expertise and ability to write automation tools

Operating Systems & Infrastructure:

• Strong understanding of Linux systems (administration, CLI tools, troubleshooting)
• Familiarity with networking and service communication in Unix environments
• Understanding of Kubernetes and containerized infrastructure (preferred)

Work Style & Soft Skills:

• Problem-solving mindset with a proactive approach
• Strong communication skills, able to explain technical issues clearly
• Experience with ticketing systems, Slack-based support, and email troubleshooting
• Ability to work efficiently in a fast-paced, high-pressure environment

Examples of Typical Issues:

• Trading signals not reaching target systems – requires log tracing, database analysis, and queue debugging
• Debugging scripts failing due to unexpected data inconsistencies
• Monitoring alerts detecting stalled processes – requires scripting fixes and root cause analysis
• Ad-hoc technical validation requests from end users

Responsibilities

Technical Support & Troubleshooting:

• Manage support tickets and resolve system incidents across a multi-layered technology stack
• Debug and troubleshoot issues related to data processing, system integrations, and service interruptions
• Perform root cause analysis and collaborate with engineering teams for long-term fixes
• Support internal users, ensuring timely issue resolution

Automation & Scripting:

• Develop Python and Bash scripts to automate monitoring, alerting, and debugging
• Write self-service scripts and tools for incident resolution
• Optimize existing scripts and code for performance improvements

System Optimization & Monitoring:

• Ensure the reliability and stability of C++ and Python pipelines
• Continuously assess system performance and propose automation strategies
• Implement monitoring solutions to proactively detect issues

Collaboration & Communication:

• Work closely with development and infrastructure teams to address systemic issues
• Maintain clear and structured communication with stakeholders and end users

English

• ‍C1 (Advanced)

Type of work

• Remote, full-time.
• On-call rotation required for incident support

Time zone

• Europe & North America

‍