Technical Leader

4 dni temu


Warszawa, Mazovia, Polska Inetum Polska Pełny etat 60 000 zł - 120 000 zł rocznie
Company Description

Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all.

Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas:

  • Consulting (Inetum Consulting): Strategic advisory services that help organizations define and implement innovative solutions.
  • Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients' individual needs.
  • Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow.

With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and ServiceNow, Inetum delivers advanced technological solutions tailored to customer requirements. In 2023, Inetum reported revenues of €2.5 billion, underscoring its strong position in the digital services market.

Inetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment. Here's what makes working at Inetum unique:

Flexible and hybrid work:

  • Flexible working hours.
  • Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities.

Attractive financial benefits:

  • A cafeteria system that allows employees to personalize benefits by choosing from a variety of options.
  • Generous referral bonuses, offering up to PLN6,000 for referring specialists.

Community and Well-Being:

  • Dedicated team-building budget for online and on-site team events.
  • Opportunities to participate in charitable initiatives and local sports programs.
  • A supportive and inclusive work culture with an emphasis on diversity and mutual respect.
Job Description

As a Technical Leader for Artificial Intelligence, you will be responsible for:

  • Lead end-to-end delivery for multi-team engagements, converting strategy into executable roadmaps with clear milestones, risk controls, and timely decisions.
  • Build high-performing teams through coaching and firm standards; resolve conflicts early and develop successors to mitigate key-person risk.
  • Serve as a trusted client counterpart- facilitate outcome-oriented workshops, align stakeholders, negotiate scope/change, and maintain a value-prioritized backlog.
  • Drive commercial outcomes by shaping proposals/SOWs, producing defensible estimates, tracking margin/utilization/forecast accuracy and identifying compliant, value-accretive expansions.
  • Provide architectural leadership and governance, documenting trade-offs and aligning with security, compliance, cost, and operability.
  • Lead team of AI developers.
  • Technical verification of Candidates.
Qualifications

Must have requirements:

  • Knowledge of Microsoft Azure and/or Google Cloud environments, particularly in the field of AI & Data solutions.
  • Practical ability to use LLM services, e.g. GPT Open AI / Google Gemini / Mistral / Llama (including completed commercial projects).
  • Understanding of current trends in application engineering using GenAI.
  • Programming skills and knowledge of SQL / Python.
  • Presales skills, i.e. preparing preliminary PoCs and presenting them to customers.
  • Knowledge of English at B2+ level.

Nice to have requirements:

  • Data science skills (model training, model operationalization)
  • AI Ops skills (understanding and implementation of best practices in model management)

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