Lead AI ML Engineer

What you'll work on

N-iX is looking for a Lead AI/ML Engineer. As a Lead Engineer, you’ll be responsible for designing, developing, and optimizing data and AI pipelines (including Spark-based and RAG-style workflows), ensuring performance, scalability, and reliability. You’ll also be working on technical discovery and solution assessment: helping the client understand existing AI tooling (currently a RAG-based solution used for document analysis), evaluating scalability, quality, cost, and risks, and advising on future architecture options.

Support and enable RAG-based and NLP use cases, including document ingestion, data preparation, feature extraction, and structured data generation.

Collaborate with AI engineers to productionize AI/ML solutions and integrate them into reliable data workflows.

Participate in and lead discovery phases to analyze existing AI solutions, clarify how they work, and identify architectural gaps, risks, and improvement opportunities.

Assess scalability and multilingual support of AI/data solutions (including feasibility, configuration needs, cost, and expected quality).

Contribute to evaluations of vendor lock-in, platform alternatives, and potential migration paths (e.g., toward Palantir Foundry or other modern data/AI platforms).

Ensure high standards of data quality, security, governance, and compliance.

Drive continuous improvement in development processes, tooling, and engineering practices.

Foster collaboration across engineering, data science, and product/business stakeholders.

What we're looking for

Strong hands-on experience with PySpark and large-scale data processing.

Proficiency in Python and distributed computing concepts.

Experience designing and optimizing scalable data pipelines for high-volume data.

Experience supporting AI/ML projects (e.g., enabling model training pipelines, feature engineering, real-time inference, or MLOps workflows).

Ability to perform technical discovery and solution assessment, including explaining complex systems to non-technical stakeholders.

Strong leadership, communication, and stakeholder management skills.

Experience with Palantir Foundry is a plus, but not required.

Familiarity with CI/CD and infrastructure as code (e.g., Terraform, CloudFormation) is desirable.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

We offer*:

Flexible working format - remote, office-based or flexible

A competitive salary and good compensation package

Personalized career growth

Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

Active tech communities with regular knowledge sharing

Education reimbursement

Memorable anniversary presents

Corporate events and team buildings

Other location-specific benefits

• not applicable for freelancers

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