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 / Python  Engineer to join us as part of our team.

About the project

Team

1 BE/1FE/QA/PM/Architect/Desigener

Work Environment

Regular working hours with stand-ups, demos, and planning sessions in the EU timezone.

As a qualified expert You will

  • Own the Coworker Suggestions system end-to-end: from problem framing to production rollout and iteration.
  • Deliver a fast baseline: deterministic retrieval (company + time overlap) in OpenSearch, simple ranker; ship v1 quickly.
  • Iterate with evidence: add features, then introduce a learned re-ranker; maintain an experiment log and ADRs.
  • Define and track relevance metrics: set quality gates for releases.
  • Run experiments safely: design A/Bs, monitor guardrails (latency, error rate), and make clear go/no-go calls.
  • Build lean data flows: small ETLs from S3/Postgres → training datasets; keep pipelines reproducible and observable.
  • Partner well: work with BE/FE to define contracts and SLAs; communicate trade-offs and timelines clearly as the sole ML owner.

We’re looking for you if you have

  • Experience: 6-8+ years in ML/DS with hands-on recommender/search/ranking work (candidate retrieval + re-ranking).
  • Languages/stack: Python (pandas, NumPy, scikit-learn). Solid SQL for data shaping and validation.
  • Retrieval & relevance: Practical OpenSearch experience (query design, filters, aggregations; optional k-NN). Ability todesign candidate generation + ranking pipelines.
  • Modeling: Strong with classic ML (binary/multi-class ranking, pairwise/listwise LTR, simple tree-based models).
  • Experimentation: Define offline metrics (precision@k, recall@k, nDCG/MAP), run A/Bs, read results, decide next steps.
  • Production: Package and serve via FastAPI + Docker; own simple CI/CD, versioning, and monitoring (latency, throughput, accuracy drift).
  • Data: Comfortable with Postgres and files in S3 (or equivalent). Able to build small, reliable ETL jobs.
  • Ownership & comms: Operate as the sole ML IC – frame problems, make decisions, document trade-offs, and align with BE/FE/PM.
  • English Level: Upper-intermediate (B2) or higher.

Bonus Points 

  • Graph DBs (co-employment overlap, PPR, Jaccard).
  •  Vector embeddings for recall or re-rank (Faiss/pgvector/OpenSearch k-NN).
  • LightGBM/XGBoost for LTR; Airflow (or similar) for simple scheduling.
  • Basic AWS ops (ECS Fargate or Lambda) beyond the essentials above.
  • NLP for title/department normalization and entity resolution.

What’s in it for You

Reveal great tech solutions

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

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

  1. Pre-Screening with the recruiter.
  2. Technical Interview.
  3. Manager’s Interview.
Svitlana Iliashenko
Svitlana Iliashenko
linkedin