Senior ML & AI Engineer

SPD Technology; Paris; À distance; EUR 70 000 - 100 000; Plein temps

Résumé du poste

A leading technology company is seeking a Senior ML & AI Engineer to drive innovative solutions using machine learning and NLP. The role involves mentoring junior members and developing scalable systems. Enjoy a flexible, fully remote work environment with a focus on personal and professional growth.

Prestations

Flexible work schedule

Remote work

Performance reviews

Personal development plans

Access to corporate library

Qualifications

• 4+ years of production experience in ML.
• Experience developing transformer-based models.

Responsabilités

• Design and develop generative AI models.
• Collaborate with cross-functional teams to create ML systems.

Connaissances

Python

Machine Learning

Deep Learning

Natural Language Processing

SQL

Formation

Bachelor’s or Master’s degree in Computer Science

Outils

TensorFlow

PyTorch

Scikit-Learn

Spacy

Description du poste

Direct message the job poster from SPD Technology

Please note: this job requires conversational proficiency in the Ukrainian language.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

The PitchBook Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect high-volume data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior team members. A strong motivation to succeed is critical, and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and analytical tools to get answers quickly and discover promising opportunities. It uncovers actionable insights and trends within financial data of over three million companies. Users worldwide include large corporations, startups, venture capital and private equity firms, investment banks, and others. Features include: Advanced search, Discovery & insights, Company profiles, Workflow & efficiency, Financials, and more.

Team

The role offers a flexible work schedule, allowing you to adapt your hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have

• Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Please note: this job requires conversational proficiency in the Ukrainian language.
• Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.
• Technical Expertise:
• Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, Scikit-Learn, Spacy or other.
• Experienced in natural language processing and modern LLM-based techniques.
• Experience with full ML lifecycle, data preprocessing, training, evaluation stages, and monitoring techniques.
• Skilled with SQL and data extraction methods.
• Innovative Thinker:

You thrive on solving complex problems and are always exploring new trends in Generative AI.

You’re an excellent communicator, able to collaborate and express your thoughts professionally to team members, other engineering teams, and stakeholders.

• Domain Knowledge:

Exposure to financial services, investment banking, venture capital, or private equity is a plus.

What’s in it for You

Reveal great tech solutions

Join a team of experts creating custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, take on new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building lasting partnerships with clients.

Experience an agile and flexible working environment

Enjoy fully remote work with a flexible schedule. Benefit from stable workload and income, supported by provided laptops and licensed software. We focus on lasting cooperation, results, and high-performance work.

Embrace personal and professional growth

Benefit from performance reviews, personal development plans, and access to resources like the corporate library, public speaking support, and more.

Be among like-minded people

Work with a dedicated team that cares about quality and collaboration. Join company-wide events, contribute to CSR initiatives, and enjoy support from HR and referral programs.

Interview steps

• Pre-Screening with the recruiter
• Technical interview (up to 90 min)
• System Design interview (up to 45 min)
• Behavioral Round with Product Manager (45 min)
• Final interview with Engineering Manager (30 min)

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Science

Industries

• Software Development

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