Lead AI Consultant

Eficode; Helsinki; On-site; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Continuous learning opportunities

Inclusive work environment

Competitive salary reviews

Job summary

Eficode in Helsinki seeks a Lead AI Consultant to drive innovative AI solutions in collaboration with experts in DevOps and cloud technologies. You will lead projects, mentor others, and work directly with clients to understand needs and deliver impactful solutions while staying ahead of industry trends.

This role requires a visionary mindset and strong skills in AI/ML, project leadership, and communication. Join us as we change the future of software development.

Qualifications

• Experience in building and running cloud services in production.
• Hands-on experience with generative AI like GPT-3/4.
• Experience integrating ML models into real products or services.
• Ability to articulate complex ideas clearly in English.
• Solid software engineering fundamentals.

Responsibilities

• Lead projects and mentor others through technical vision.
• Collaborate with a diverse community of experts in AI and DevOps.
• Propose and deliver AI solutions to clients.

Skills

Deep expertise in AI/ML

Strong communication skills

Cloud-native development

Generative AI & LLMs

MLOps & AI Integration

Project leadership

Knowledge sharing

Customer-oriented mindset

Tools

Docker

Kubernetes

Python

Terraform

Job description

Welcome to Eficode! We are building the future of software development, specializing in DevOps and AI. At Eficode, we’re passionate about sharing knowledge, not just within our teams, but with the community around us. We invest heavily in our people through conferences, training, and other growth opportunities. For our clients, who range from innovative startups to large regulated enterprises, we aim to be trusted experts who lead by example and demonstrate how to deliver truly great results.

As a visionary in the realm of AI, Cloud, and DevOps, someone who can identify emerging trends, and rapidly experiment and build with new technologies, we want you to join our team as a Lead AI Consultant.

About The Role – Who We Are Looking For

Key to this role is your ability to grasp the bigger picture of how tools and AI techniques fit together, and to stay ahead of the curve on what’s coming next. While we value deep expertise, we prioritize individuals who can iterate quickly and continuously learn. You enjoy trying out new tools, prototyping solutions, and learning from failures and successes alike.

In this lead role, you will be a driving force in our knowledge‑sharing culture. You’ll collaborate with a diverse internal community of experts across AI, DevOps, cloud, and software development, while also keeping an eye on industry trends outside Eficode and bringing fresh insights back to the team.

You won’t have direct line management duties, but you will lead projects and mentor others through your technical vision and by owning your work with customers. As a consultant, you’ll work closely with clients to understand their needs as well as propose and deliver AI solutions that provide real value, often in complex, high‑stakes environments where quality, security, and compliance are paramount.

As a Lead Consultant, You

• Bring deep expertise in AI/ML and cloud‑native development: You have strong hands‑on experience in machine learning and in building and running cloud services in production. You’re comfortable with modern cloud platforms and can design scalable, resilient systems to deploy AI solutions.
• Generative AI & LLMs: Hands‑on experience with generative AI (e.g. working with large language models like GPT‑3/4, fine‑tuning pre‑trained models, or building AI‑powered chatbots and autonomous agents).
• MLOps & AI Integration: Experience integrating ML models into real products or services – for example, serving models behind APIs, using MLOps frameworks (Kubeflow, MLflow, Vertex AI Pipelines, Nvidia, etc.), or deploying AI solutions to production with monitoring and feedback loops.
• AI Quality Assurance & Guardrails: Hands‑on experience designing and implementing AI system safeguards, such as using judge models, automated evaluation techniques, or deterministic testing approaches to assess LLM output quality. Understanding of how to build robust guardrails around generative models to ensure safety, consistency, and compliance in production environments.
• Have a visionary mindset: You can anticipate emerging trends in AI and DevOps. Whether it’s the latest advances in large language models, MLOps tools, or cloud technologies, you love exploring new possibilities and quickly figuring out how they can be applied in practice.
• Demonstrate project leadership: You have experience driving projects to success. We value the ability to mentor others and organize work effectively. We do not require formal leadership experience, whether you have led school clubs or hobbies, it is a great experience for us. If you have led a team or a technical area in the past, that is a plus.
• Champion knowledge sharing: You actively foster a culture of learning and collaboration. You enjoy extracting lessons from your projects and spreading best practices to the wider community – whether through internal workshops, weekly communities of practice, blog posts, or conference talks.
• Showcase strong communication skills: You can articulate complex ideas clearly in English, both in writing and speaking. You’re eager to engage with different audiences, from technical teammates to business stakeholders, and you excel at adjusting your message accordingly. (Finnish or Swedish language skills are a plus, and any additional language skills are appreciated, but not required.)
• Are people and customer‑oriented: You enjoy working with people. As a consultant, you listen to customers’ needs and work alongside them to improve their outcomes. You take pride in being a trusted advisor and are comfortable coaching and collaborating with client teams.
• Software development practices: Solid software engineering fundamentals. You may be skilled in multiple programming languages and familiar with agile practices like TDD, pair/ensemble programming, or domain‑driven design.

Some additional skills and experience we value

• Cloud services: Familiarity with cloud‑based AI offerings (such as Google Vertex AI, AWS SageMaker, or Azure ML Studio) and understanding how to leverage them effectively.
• Infrastructure as Code & CI/CD: Practical knowledge of Infrastructure as Code tools (like Terraform or CloudFormation) and CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.) in a production environment. You may have set up automated build/test/deploy workflows or managed infrastructure through code.
• Containerization and orchestration: Experience containerizing applications with Docker and orchestrating them with Kubernetes or other platforms. Knowledge of virtualization or serverless architectures is also beneficial.
• Automation & DevSecOps mindset: Strong scripting abilities (Python, Bash, etc.) for automation, and a good understanding of DevOps security best practices – e.g. performing container security scans, managing secrets, and ensuring compliance in automated pipelines.
• Data streaming and pipelines: Exposure to real‑time data processing or workflow orchestration tools. For instance, experience with Apache Kafka for streaming data, Celery for distributed tasks, or Apache Airflow for scheduling data/ML pipelines.
• Certifications: Relevant certifications are not required but appreciated. For example, a cloud associate certification (AWS, Azure, or GCP), a Certified Kubernetes Application Developer (CKAD), or an AI/ML certification (from Google, Microsoft, AWS, Nvidia or other AI programs) can demonstrate your commitment to growing your expertise.

Benefits

• We want to change the world: we believe in change through software.
• We take pride in results: our experience and expertise move our customers forward.
• We learn every day: continuous learning is our source of innovation.
• We complete each other: we believe in being who we are.

At Eficode, we believe your compensation should reflect the impact you make and how you grow along the way. Your salary develops through regular check‑ins with your team lead, where we look at things like your skills, experience, client work, feedback, and overall contribution — both to your projects and to our culture. We also carry out a company‑wide salary review once a year. On top of your salary, we offer a broad mix of financial and non‑financial benefits and initiatives to support your well‑being, work‑life balance, and professional growth.

At Eficode we are committed to offering an inclusive recruitment process and equal opportunities for all applicants. We are dedicated to creating a work environment that embraces diversity, inclusion, and respect for all employees. We believe that our differences make us better. We recognize that by having diverse perspectives, skills, ages, genders, backgrounds and cultures we will better drive our customers forward and innovate in our field. To ensure a fair recruitment process, please refrain from sharing unnecessary personal information and your picture on your job application. Eficode, better made possible.