AI Engineer - Freelance

Who we are

Bitrock is a high-end consulting and system integration company, strongly committed to offering cutting-edge and innovative solutions . Our tailored consulting services enable our clients to preserve the value of legacy investments while migrating to more efficient systems and infrastructure. We take a holistic approach to technology: we consider each system in its totality, as a set of interconnected elements that work together to meet business needs.

We thrive on overcoming challenges to help our clients reach their goals, by supporting them in the following areas: Data, AI & ML Engineering; Back-end Engineering, Platform Engineering, Front-end Engineering, Product Design & UX Engineering, Mobile App Development, Quality Assurance, FinOps, GovernanceThe effectiveness our solutions also stems from partnerships with key technology vendors, like HashiCorp, Confluent, Lightbend, Databricks, and Meterian.

Who we are looking for

We are looking for a talented AI Engineer for a high-impact project starting immediately . If you bridge the gap between data science and software engineering and thrive on taking models from experimentation to production, we want to hear from you!

Role Overview

As an AI Engineer, you will sit between software engineering and data science, focusing on scaling and deploying machine learning models into production. You will design, build, and maintain AI systems that solve real-world business challenges.

Key Responsibilities

• Design and develop machine learning and deep learning models.
• Build scalable data pipelines for training and inference.
• Deploy models into production environments (APIs, microservices).
• Optimize model performance regarding latency, accuracy, and cost.
• Monitor models in production (drift, retraining, reliability).
• Collaborate with data scientists, backend engineers, and product teams.

Required Skills

Must-Have:

• Python: Strong programming skills are mandatory.
• ML Frameworks: Experience with TensorFlow, PyTorch, or Scikit-learn.
• Data & Cloud: Knowledge of data processing tools (Apache Spark, Pandas) and familiarity with cloud platforms (AWS, GCP, or Azure).
• Deployment: Understanding of Docker, containerization, and APIs (REST, GraphQL).
• AI/ML Core: Supervised & unsupervised learning, Deep Learning (CNNs, RNNs, Transformers), NLP, and feature engineering.

Nice-to-Have:

• Experience with LLMs and Generative AI.
• Knowledge of MLOps tools (MLflow, Kubeflow).
• Familiarity with vector databases and embeddings.

Contract Details:

• Type: Freelance (Contractor)
• Start Date: Immediate / ASAP
• Duration: Until the end of the year (Dec 31, 2026)
• Location: 100% Full Remote

Recruitment process:

Our recruitment process has 3 stages:

• First discovery short interview with our HR team
• Technical interview with our Team Leaders
• Final interview with our Client

How to apply:

• You can apply via LinkedIn or send your cv to