Newxel — вакансії

At Newxel, we believe that strong processes, thoughtful leadership, and a genuine human touch are what help teams not only perform – but thrive. We are looking for an HR Director who will orchestrate and evolve our HR ecosystem – one that supports both our internal team and 200+ engineers embedded in global projects through our outstaffing model.
This is a strategic and hands-on role: you’ll lead a team of People Partners and HR Ops, work closely with delivery leads, and become a key voice in shaping how we grow, develop, and retain talent across Newxel.

Your mission

• Ensure a seamless people experience for both outstaffed engineers and internal operations staff
• Build and optimize scalable HR processes and systems – not for the sake of structure, but to make people’s lives easier
• Partner with leadership to bring HR insights into business decisions and help teams work better, together

Your responsibilities

• People Operations (Outstaffed Teams & Internals)
  • Curate the full employee lifecycle: onboarding, probation tracking, performance reviews, exit procedures
  • Work closely with delivery/account managers to ensure engineers feel supported, heard, and productive — even while sitting on client-side
  • Implement and maintain HR touchpoints that bridge distance and increase engagement in distributed teams
• HR Process Design, Automation & Tools
  • Regularly review and refine HR workflows, balancing compliance, clarity, and simplicity
  • Drive automation and systematisation in areas like feedback cycles, time-off tracking, onboarding checklists, and documentation flow
  • Select and integrate tools (HRIS, survey platforms, document flow solutions) to reduce routine work and improve transparency
• Culture, Retention, Engagement & Learning
  • Build initiatives around motivation, learning & development, and team spirit — especially for hybrid and remote formats
  • Design and facilitate learning programs for operational staff (finance, HR, legal, admin) to promote continuous development and cross-functional collaboration
  • Develop retention strategies, analyze turnover data, and act on insights, not assumptions
  • Promote a healthy feedback culture through structured 1:1s, check-ins, and pulse surveys
• HR Team Leadership & Strategic Partnering
  • Lead and support a small, focused HR team: 3 People Partners + 1 HR Ops
  • Coach team members and foster shared standards across HR practices
  • Serve as a sparring partner to department heads: advising on people matters, org design, team dynamics

What we’re looking for

• 5+ years in HR (2+ in a leadership role), preferably in IT, product, or outstaffing
• Practical experience with HR operations at scale: distributed teams, international frameworks, hybrid policies
• Deep understanding of HR process design – from scratch or through optimization
• Experience implementing or administering HR systems / tooling (e.g. BambooHR, HiBob, Leapsome, Confluence, Jira)
• Ability to balance empathy and structure – you care about people and about setting things up well
• Strong communication skills in English (Upper-Intermediate+)

We’re on the lookout for a passionate Senior Python Developer to join our client’s team in the cybersecurity space. If you love solving tough challenges, playing with state-of-the-art technologies, and shaping powerful cloud-based solutions, this is your chance to make a real impact. You’ll work in a dynamic environment, alongside brilliant teammates, building innovative systems that help protect organizations from ever-evolving digital threats.

About the project

Since the amount of cyber threats and dark web sources is growing daily, products for their elimination are critically needed. Our partner, a high-tech software company from Israel, took on this challenge.
They offer cyber threat intelligence (CTI) solutions for cybersecurity teams to reveal their most critical known and unknown digital risks earlier. The team develops its CTI & Attack SaaS platform to prevent, detect, investigate, and remediate phishing, fraud, data leaks, and external vulnerabilities.
Clients are more than 100 companies worldwide, including Fortune 500 leaders, in financial, retail, gaming, entertainment and media industries.

Responsibilities

• Influence – take part in day-to-day discussions on the direction, design and architecture of our product
• HO End-to-end development of software components, constantly re-inventing and improving our infrastructures and tech-stack to meet our scale expectations from an engineering standpoint
• The ability to create technical designs for complex problems
• Assist other team members with code and design reviews and provide constructive feedback
• Be a part of a team of passionate, hardworking and super-professional Back End developers
• Gain a deep, wide and solid understanding of the World Wide Web (Surface, Deep and Dark parts)
• Improve and promote our innovative tech-stack – play and asses tools we should adopt.
• Work in, out and around AWS
• Work with an amazing group of colleagues and decision makers in various interfaces

Requirements

• 5+ years’ experience in developing complex backend systems
• Proficiency in Python (production environment)
• Demonstrated ability to produce high-performance, maintainable, and reusable code
• Knowledge in high-level design and architectural practices
• Proficiency with cloud technologies and services, such as AWS (EC2, S3, Lambda, Streaming, EMR, EKS)
• Experience with ElasticSearch, MongoDB, Redis, and relational DBs
• Skilled in Kubernetes and Docker
• Agile methodology practitioner
• Experience in a Production SaaS environment
• Knowledge in building web applications using FastAPI

Tech Stack

• SaaS Web Application
• AWS cloud
• Kubernetes & Microservices architecture
• Databases – MySQL, Redis, MongoDB, Kafka
• Monitoring tools – Prometheus, Grafana, Kibana, etc.
• And other related technologies

We’re looking for a creative and impact-driven Senior Data Engineer eager to design and build powerful data solutions that empower millions of users. If you enjoy solving complex challenges, architecting systems that scale, and turning raw data into actionable insights – this opportunity is for you.
Join a purpose-led team that’s transforming how people in emerging markets access, manage, and grow their financial lives through technology.

Responsibilities

• Build data pipelines that collect and transform data to support ML models, analysis and reporting
• Work in a high volume production environment making data standardized and reusable, from architecture to production
• Work with off-the-shelf tools including DynamoDb, SQS, S3, RedShift, Snowflake, Mysql but often push them past their limits
• Work with an international multidisciplinary team of data engineers, data scientists and data analysts

Requirements

• At least 5+ years of experience in data engineering / software engineering in the big data domain
• At least 5+ years of coding experience with Python or equivalent
• SQL expertise, working with various databases (relational and NoSQL), data warehouses, external data sources and AWS cloud services
• Experience in building and optimizing data pipelines, architecture and data sets
• Experience with ML pipelines and MLOps tools
• Familiarity with data engineering tech stack – ETL tools, orchestration tools, micro-services, K8, lambdas
• End to end experience – owning features from an idea stage, through design, architecture, coding, integration and deployment stages
• Experience working with cloud services such as AWS, Azure, Google Cloud
• B.Sc. in computer science or equivalent STEM
• English – Upper-Intermediate+

Our client develops a unique in-memory platform using innovative Machine Learning technologies. The product aims to help businesses’ achieve data and analytics processing needs with the highest speed, and to deliver real-time performance by reproducing companies’ data to the in-memory data store. An impressively fast-growing company that partners with the most leading enterprises from all over the world within various industries including healthcare, telecommunications, retail, etc.
We’re looking for a skilled Data Scientist with a focus on AI data to power the next generation of intelligent solutions. This role is perfect for someone who thrives on tackling complex challenges through machine learning, advanced analytics, and coding, and who’s eager to drive innovation through cutting-edge AI methodologies.

Responsibilities

• Semantic Modeling: Design and maintain semantic representations (e.g., ontologies, entity relationships) to enhance structured data queryability and AI-driven reasoning
• Natural Language to Structured Query Mapping: Design and evaluate approaches that interpret natural language questions and accurately map them to structured data queries (e.g., SQL or semantic equivalents)
• Data-to-Text Interpretation: Design and evaluate techniques for interpreting tabular data and generating human-readable natural language explanations
• LLM Prompt Strategy: Assist in developing and refining prompt engineering strategies to ensure accurate, interpretable, and relevant responses from large language models
• AI Algorithm Development: Design and implement AI algorithms that optimize key system processes and improve overall product performance
• Model Evaluation and Enhancement: Continuously evaluate, refine, and improve existing AI models and algorithms to enhance accuracy, scalability, and computational efficiency
• Research & Innovation: Stay current on advancements in AI, GenAI, NLP, and machine learning, incorporating promising techniques and ideas into product solutions
• Ethics & Compliance: Ensure all model development follows data privacy, governance, and ethical AI standards throughout the lifecycle

Requirements

• Master’s degree in Computer Science, Data Science or Applied Mathematics is required; a Ph.D. is strongly preferred
• 8+ years of experience in Data Science, with hands-on work in NLP, GenAI, and large-scale AI model development
• Strong problem-solving skills and the ability to translate complex business requirements into AI research tasks and deliverables
• Excellent communication skills (English), both verbal and written, with the ability to convey complex technical concepts to cross-functional teams
• Technical Expertise
  • Proven track record in applying data science, machine learning, and AI methodologies in real-world scenarios
  • Strong MLOps experience to help build, deploy, and maintain machine learning models in production. Familiarity with cloud platforms (e.g., AWS, GCP, Azure)
  • Understanding of model versioning, monitoring, and lifecycle management
  • Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, Langchain, Langgraph)
  • Solid understanding of LLMs, RAG architectures, GraphRAG, techniques to extract knowledge from structured and unstructured data
  • Experience with Agentic workflows and Agentic system design, Orchestration of LLM-powered agents
• Research Execution
  • Ability to define research goals, design experiments, analyze results, and iterate independently and collaboratively
  • Publications or accepted papers in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) in areas related to Generative AI
  • Strong performance in GenAI competitions (e.g., Hugging Face Open LLM Leaderboard, AIcrowd, EvalHack, etc.)
  • Participation in leading GenAI hackathons or innovation challenges (e.g., OpenAI, Hugging Face, Google, Anthropic-sponsored)
  • Top rankings or meaningful contributions to Kaggle competitions focused on GenAI/NLP
  • Demonstrated ability to rapidly prototype and scale GenAI solutions in applied settings (internal tools, open-source repos, agents, or copilots)