SPD Technology

Engineering Manager, Applied AI & Machine Learning Engineering

Brak informacji o wynagrodzeniu

SeniorZdalnieFull-time

#412485·Dodano dwa miesiące temu·4

Źródło: SPD Technology

Aplikuj teraz

Tech Stack / Keywords

AIMachine LearningMLOpsArchitectureLLMDatabasesAgile Generative AI

Firma i stanowisko

SPD Technology is a global software product development company specializing in fintech, digital payments, data engineering, AI/ML, and cloud computing. Founded in 2006, the company has delivered over 460 custom projects for startups, SMBs, and enterprises worldwide, including partnerships with clients generating over $4B in annual revenue. SPD Technology's portfolio includes AI-driven capital markets insights platforms, advanced medical device simulators, and high-volume data analytics systems. The company employs over 650 engineers across 35 countries with a focus on high-performance and custom tech solutions.

Wymagania

At least three years of experience in software engineering, AI/ML, or a related field
At least three years of experience in people management, engineering management, or technical program leadership
Working knowledge of AI/ML modeling, systems, and the development lifecycle
Experience managing multiple technical projects with shared resources and cross-team dependencies
Strong skills in capacity planning, resource allocation, project execution, risk management, and stakeholder communication
Experience supporting the performance and career development of technical employees
Ability to understand technical discussions and work effectively with MLE and MLOps teams
Experience working with distributed or geographically dispersed teams
English — Upper Intermediate or higher; Ukrainian — fluent

Nice to have:

Experience managing or supporting MLE and MLOps teams
Experience working in a matrix organization with separate people, project, product, and technical leadership roles
Experience with planning or allocating engineers across multiple projects
Familiarity with production ML, generative AI, semantic search, summarization, prediction, or similar capabilities
Familiarity with technologies such as Kubernetes, Docker, Kafka, Airflow, Snowflake, and cloud platforms
Experience conducting performance reviews and building employee development plans
Experience working with staffing partners, contractors, or blended internal and external teams
Experience in fintech, SaaS, market data, or another data-intensive industry

Obowiązki

Manage resource allocation and capacity planning across multiple AI/ML projects and operational commitments
Partner with project and technical leads to create realistic delivery plans, milestones, and staffing models
Maintain a clear view of project progress, dependencies, risks, and resource constraints
Help resolve delivery blockers, priority conflicts, and cross-team dependencies
Facilitate quarterly and ongoing planning across MLEs and MLOps teams
Provide clear delivery and staffing updates to functional managers and other stakeholders
Manage and coach engineers through regular one-to-one meetings and career discussions
Gather and synthesize feedback from project leads, technical leads, and cross-functional partners
Create development plans and support performance, promotion, and compensation review processes
Identify team capability gaps and contribute to hiring, onboarding, retention, and workforce planning
Foster an inclusive, collaborative, and high-performing team environment
Apply Agile, Lean, and Fast-Flow practices to improve team effectiveness and delivery predictability

Benefity

Flexible working schedule
Fully remote work
Stable workload and income
Provided laptops and licensed software
Performance and merit reviews
Personal development plans and individual learning resources
Support for public speaking
Company-wide tech and cultural events
Participation in meaningful CSR initiatives
HR support
Employee referral bonus program

Elastyczne godziny

SPD Technology

4 aktywne oferty

Zobacz wszystkie oferty

Aplikuj teraz