ਕੰਮ ਦਾ ਵੇਰਵਾ

About SPD Technology

SPD Technology is comprised of a community of driven professionals passionate about delivering cutting-edge, custom technology solutions that accelerate client growth. The company nurtures a culture of excellence, accountability, and collaboration, supporting both professional and personal development in a flexible, inclusive workplace.

Role Overview

We are seeking an Engineering Manager specializing in Applied AI and Machine Learning to join our team. This role focuses on leveraging PitchBook’s vast financial data, including structured datasets and unstructured content such as reports and news, to deliver actionable AI-driven insights. The position demands advanced technical expertise in data analytics, AI/ML model development, and hands-on leadership experience managing engineering teams.

Key Responsibilities

Lead execution and management of AI and ML engineering initiatives ensuring code quality, operational excellence, and alignment with product roadmaps and business objectives.
Deliver AI/ML roadmap milestones punctually and with superior quality.
Facilitate team productivity by removing impediments, refining processes, and promoting innovation and ideation.
Maintain comprehensive and robust engineering solutions, engaging deeply in code and design aspects.
Communicate complex technical concepts effectively to both technical teams and executive stakeholders.
Commit to continuous learning in NLP, AI, ML, MLOps, data engineering, and cloud technologies.
Foster a workplace culture that prioritizes psychological safety, inclusivity, cooperation, and engagement.

Technical Focus and Environment

Develop and sustain Large Language Model (LLM) solutions and generative AI features.
Create and manage predictive and classification models tailored to financial data.
Implement vector databases for efficient storage and fast retrieval of high-dimensional embeddings.
Engineer hybrid embedding models to synthesize insights from various data sources.
Design systems to manage high-volume, real-time data streams with scalability and reliability.

Qualifications

Master’s degree in Computer Science, Data Science, Machine Learning, Software Engineering, or closely related disciplines.
Minimum of 7 years experience in engineering or data science with a focus on machine learning.
At least 3 years in leadership managing teams of five or more engineers.
Proven hands-on expertise in coding and deploying large-scale machine learning systems, with mandatory experience in natural language processing.
Strong proficiency in Python and ML libraries such as pandas, scikit-learn, Keras, PyTorch, and expert SQL skills.
Experience managing ML services within distributed microservice architectures.
Familiarity with data platforms and pipeline tools like Apache Kafka, AWS SNS/SQS/Kinesis, Apache Airflow, Spark, AWS Glue, GCP Cloud Dataflow, Snowflake.
Competence with containerization and orchestration technologies such as Docker and Kubernetes, along with cloud-scale deployment strategies.
Successful delivery of substantial technical projects with a metrics-driven approach.
Fluent English communication skills (Upper Intermediate or above) and Ukrainian language proficiency.

Work Environment and Benefits

Enjoy flexible working hours with full remote work capability, based in the Europe/Kyiv time zone. The role includes access to stable workloads, competitive remuneration, reliable hardware and licensed software, and opportunities for continuous professional development via reviews, personalized learning plans, corporate training, and public speaking support.

This position also offers collaboration with a passionate and supportive team, company-sponsored tech and cultural events, corporate social responsibility initiatives, HR backing, and an employee referral bonus program.

Recruitment Process

Initial recruiter pre-screening
Technical interview
System design evaluation
Product-focused discussion
Final interview with client representatives

Engineering Manager, Applied AI & Machine Learning Engineering