Senior AI/ML Consultant

Netlight Consulting; Berlin; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Benefits dieser Stelle

Competitive salary with biannual reviews

Access to an international network

Experienced mentorship and coaching

Inclusive work environment

Professional development opportunities

Zusammenfassung

Netlight Consulting in Berlin is seeking a Senior AI/ML Consultant who will design, build, and operationalize AI systems across the full stack. You will engage in various capacities such as ML engineer and strategic advisor, using your hands-on experience with cloud platforms and machine learning lifecycle. The role offers a supportive environment with career development opportunities and a focus on collaboration and mentorship. Competitive salary with transparent reviews is provided.

Qualifikationen

• 2–4 years of experience in machine learning engineering or applied AI.
• Strong practical experience with the entire ML lifecycle.
• Hands-on experience with deploying solutions on cloud platforms.

Aufgaben

• Design and build AI systems that meet client needs.
• Operationalize AI systems using MLOps practices.
• Guide junior colleagues and contribute to thought leadership.

Kenntnisse

Machine Learning

AI Systems Design

MLOps

Python

Cloud Platforms

Prompt Engineering

Collaboration

Data Preparation

Ausbildung

Master's Degree in Engineering or Technology

Tools

AWS

Azure

GCP

PyTorch

TensorFlow

Hugging Face

Jobbeschreibung

The role

As a Senior AI/ML Consultant, you are the person clients trust to turn AI ambition into production reality. You design and build AI systems that hold up beyond the demo. Machine learning pipelines, generative AI solutions, and the technical foundations that let organisations extract real value from AI.

Our consultants bring varied paths and perspectives to this work. What unites them is a principled approach to system design, a genuine curiosity about the business problems behind each model, seeing work through from the first experiment to a system running in production. Across engagements, you may work as an ML engineer, AI architect, LLM/GenAI specialist, or a strategic advisor, often a combination of several within one engagement.

What the work looks like

Building AI systems, shaping strategy. You design, build, and operationalise AI systems across the full stack, from data pipelines and feature engineering to LLM applications, RAG pipelines, and agentic workflows. You use MLOps practices to bring models into production reliably and keep them there. And you work with clients to make the decisions that matter: build versus buy, model selection, responsible AI, and the organisational change that turns AI from a pilot into a practice.

Delivering, leading, growing. You are growing as a consultant and a leader, not just delivering on the technical side. As a senior consultant, you are expected to take ownership beyond your immediate delivery: guiding junior colleagues, contributing to engagement quality, and beginning to build the presence and trust that defines the next stage of your career. Beyond client projects, you are will to contribute to Netlight's thought leadership within Data & AI, whether through internal knowledge sharing, external publications, or coaching colleagues who are earlier in their journey.

What we offer

• Possibility to be part of growing one of the most successful tech consultancies in the industry.
• Diverse client landscape, including some of the most innovative tech companies & exciting projects with lots of room for professional development.
• Access to an international network of 2,000+ highly talented individuals.
• An experienced mentor and a professional coach to guide you throughout your career.
• An international & diverse working environment with a central and modern office space.
• Competitive and transparent salary model with equal pay regardless of the assignment, biannual salary reviews, and attractive benefits (e.g. company shares, Deutschlandticket, parental benefits & much more).
• The freedom to shape your own path in terms of clients, domains, and roles, supported by a global community.
• Access to Netlight's Edge network with its competence cells, conferences, and a culture where sharing knowledge is as valued as acquiring it. You are encouraged to contribute to Netlight's thought leadership within Data & AI.

Master's Degree in Engineering or Technology (e.g., Computer Science, Machine Learning, Mathematics, Statistics, or similar).

Verbal and written fluency in English.

2–4 years of full-time work experience in machine learning engineering, applied AI, or a closely related field. Experience working in agile product or delivery teams, gained after completing your Master's degree.

Strong hands‑on experience with the full ML lifecycle: data preparation, feature engineering, model development, evaluation, deployment, and monitoring.

Practical experience building and deploying solutions on at least one major cloud platform (AWS, Azure, or GCP), including managed ML services (e.g., SageMaker, Vertex AI, Azure ML).

Hands‑on experience with LLMs and generative AI, including prompt engineering, RAG architectures, and integrating foundation model APIs into production systems.

Experience with MLOps practices and tools, including experiment tracking, model registries, CI/CD for ML, and model serving infrastructure.

Proficiency in Python and relevant ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, or LlamaIndex).

Demonstrated ability to collaborate with diverse stakeholders — including data engineers, product owners, analysts, and business leaders — in client‑facing settings.

Preferred qualifications

Experience designing agentic AI systems, including tool use, orchestration frameworks, and multi‑agent architectures.

Depth in responsible AI and governance, including fairness, explainability, bias detection, and AI risk frameworks.

Experience fine‑tuning or instruction‑tuning foundation models (e.g., LoRA, RLHF, PEFT).

Familiarity with vector databases and semantic search infrastructure, (e.g., Pinecone, Weaviate, pgvector, Qdrant).

Background in NLP, computer vision, or time‑series forecasting in applied production settings.

Experience with data and AI platform architecture, including feature stores, data lakes, and lakehouse patterns.

Equal opportunity statement

Netlight strives to be a truly diverse,equitableand inclusive organization. Regardless of who you are, what personality, background, and experience you have, you enrich our culture through your values.Netlight’spurpose is to unleash full potential, realize great careers, andfulfillpersonal growth. To achieve this, we have a highly engaged network organization, where every employee gets a mentor, deliverycoachand personal communities. The key to our continued success is trust and personal responsibility, diverse experiences, challenging opportunities and developing from personal values. EveryNetlighteris an active part of building and shaping this culture, which leads to a clear correlation between personal growth and the growth of Netlight.