ML Engineer Jobs in Moldova.
All active ML Engineer roles based in Moldova.
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AI/ML Developer
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We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.
As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.
A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.
Project Description
We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.
Technologies
- Python
- Git, CI/CD practices for ML and data pipelines
- AWS and/or Azure
- PyTorch, TensorFlow
- MLflow
- LLMs and NLP tasks
- Generative AI concepts
- LangChain/LangGraph, LlamaIndex
- Qdrant, Pinecone, Weaviate, FAISS or similar
- RNNs, Transformers
- Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
- Prometheus, Grafana, DataDog, OpenTelemetry
- YOLO, SDD
- Segmentation models
- Image Classification
What You'll Do
- Lead the design, development, and deployment of scalable ML services;
- Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
- Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
- Mentor and guide junior engineers, promoting best practices in ML engineering;
- Develop and maintain documentation, ML models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
- Stay up-to-date with emerging trends and technologies in AI/ML field;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
- Strong proficiency in Python;
- Experience with cloud data platforms (AWS and/or Azure);
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Cloud Infrastructure Engineer (Data Center)
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Company Background
Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.
Project Description
We are looking for a Cloud Infrastructure Engineer to help shape and deliver a modern cloud and hybrid IT strategy across Azure, AWS, and GCP. In this role, you will design scalable, secure, and cost-effective infrastructure that supports enterprise applications, hybrid connectivity, and next-generation data and AI/ML workloads.
Technologies
- Azure ecosystem
- Azure DevOps
- GCP / AWS
- Infrastructure as Code: Bicep
- Windows Server
- Microsoft SQL Server
What You'll Do
- Lead the assessment and modernization of enterprise cloud workloads, defining migration roadmaps across retain, re-platform, refactor, and retire scenarios;
- Design governed multi-cloud landing zones across Azure, AWS, and/or GCP, standardizing networking, identity, policy, and account/subscription topology through Terraform and Bicep;
- Establish cloud-agnostic infrastructure practices, reusable IaC modules, and automated provisioning standards to reduce manual operations and subscription sprawl;
- Govern identity and access across cloud platforms, SaaS applications, and CI/CD workloads using Microsoft Entra ID, conditional access, workload identity federation, and service principal controls;
- Architect secure hybrid and cross-cloud connectivity, including ExpressRoute, SD-WAN, traffic segmentation, and low-latency data transfer patterns;
- Implement zero-trust security controls for IT/OT boundaries, including inspected and policy-enforced traffic flows for SCADA, HMI, ICS, and enterprise systems;
- Design resilient, highly available cloud architectures with defined RTO/RPO targets and automated disaster recovery validation;
- Build platform services, CI/CD templates, and self-service infrastructure capabilities that enable internal teams to consume cloud services through documented standards and APIs;
- Implement governance, policy-as-code, and FinOps practices to enforce security, compliance, cost tagging, spend attribution, and cloud cost optimization;
- Support strategic modernization initiatives, including Kubernetes adoption, application containerization, database optimization, and reduction of Windows server licensing costs;
Job Requirements
- 7+ years of experience in cloud infrastructure engineering, with deep hands-on expertise in Microsoft Azure and production experience with at least two major cloud providers, such as Azure, AWS, or GCP;
- Strong experience with cloud networking, IAM, compute, IaaS/PaaS services, and Microsoft Entra ID / Azure AD, including conditional access, workload identity federation, SAML/SCIM, and service principal governance;
- Proven expertise in IaC using Terraform and/or Bicep, including governed landing zones, module registries, and cloud infrastructure migration;
- Hands-on experience designing and operating CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, including pipeline-as-code, security scanning, and deployment gates;
- Solid understanding of zero-trust architecture, IT/OT boundary security, and industrial control environments such as SCADA, HMI, and ICS;
- Experience designing and validating disaster recovery architectures across regions and cloud providers, including RTO/RPO definition and automated failover testing;
- Familiarity with FinOps practices and tools, including cost tagging, spend attribution, showback/chargeback models, CloudHealth, CloudCor, or native cloud cost tools;
- Experience with policy-as-code frameworks such as Azure Policy, AWS SCPs, GCP Organization Policies, or Open Policy Agent;
- English level: B2 or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
About the Project
The platform uses AI agent architectures to generate and validate educational content at scale, serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production operations.
About the Role
We are looking for a senior AI engineer ready to work at the heart of production AI systems. You will contribute directly to two core services: Conversation Brain, an LLM-driven conversation engine, and Ambient ORA, a speech assessment engine powering multiple products. The role sits at the intersection of product engineering and AI science, bridging research outputs from the R&D team into production-grade services.
Key Responsibilities:
- Design, develop, and optimize AI-driven content generation workflows.
- Contribute directly to our codebases, building and maintaining agentic workflows using Python (FastAPI, CrewAI, LangGraph, LangChain) and Go where needed.
- Build and maintain agentic workflows using CrewAI, LangGraph, and LangChain.
- Ensure code quality through unit and integration tests written as part of the development workflow, in line with our shift-left approach where developers own test creation.
- Operationalize AI models in collaboration with the AI R&D.
- Implement LLM observability and evaluation using Langfuse, OpenLit, and New Relic.
- Design and run LLM evaluation benchmarks and regression detection.
- Integrate and manage resources across Azure (Container Apps, Service Bus, Blob Storage) and AWS.
- Ensure robust CI/CD pipelines and contribute to SDLC best practices.
- Package, deploy, and scale applications using Docker; Kubernetes experience is a plus.
Required Skills & Qualifications
- Strong Python development skills (FastAPI) and hands-on experience with agentic and LLM frameworks
(CrewAI, LangGraph, LangChain, or equivalent). - Production experience with LLMs, including prompt engineering, model evaluation, and
operationalizing research outputs into production services (Azure OpenAI, Google Vertex AI). - Practical experience with Azure services (Container Apps, Service Bus, Key Vault, Blob Storage) and
familiarity with AWS. - Experience with LLM observability and monitoring tools (Langfuse, OpenLit, New Relic, or equivalent).
- Solid grasp of CI/CD, DevOps, and SDLC. Working knowledge of Docker, with k8s experience as a plus.
- Familiarity with ML/NLP tooling (PyTorch, Hugging Face Transformers, spaCy, scikit-learn) a strong plus.
- Daily user of AI development tools (Cursor, Claude Code, Copilot).
- Fluent English, spoken and written.
- Nice to have: Working knowledge of Go, with the ability to read, modify, and maintain existing Go
services
Benefits:
- Opportunities for certification and training
- Dual monitor setup and high-spec workstations
- English courses
- Gym allowance
- Medical Reimbursement
- Full salary covered up to 20 days of sickness
- Flexible working hours
- Loyalty scheme
- Team building activities, special events and conferences
- UK/EU Travel opportunities
- Snacks and drinks in the office
To see more roles, click here.
Ready to apply?
Apply to Amdaris
Data Engineer (Databricks)
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Project Description
We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.
Technologies
- Databricks (including Spark, Delta Lake, MLflow)
- Python/Scala
- SQL
- ETL concepts
- Distributed data processing
- Data warehousing
- Cloud Platforms & Storage
What You'll Do
- Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
- Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
- Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
- Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
- Develop and maintain documentation, data models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
- Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
- Strong proficiency in Python and/or Scala for data processing;
- Deep understanding of distributed data processing, data warehousing, and ETL concepts;
- Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
- Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Sep 25, 2025 12:50
Ready to apply?
Apply to Coherent Solutions
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
About the job
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
We are establishing a AI Engineering team who will work closely with our most strategic customers to deeply understand their use cases and design, build, and implement products for them. As one of our founding AIs, you will deploy these solutions on the latest infrastructure for the world's most influential businesses, driving real business impact through the newest models and our own innovations in technical delivery.
AI Engineers' responsibilities look similar to those of a hands-on AI startup CTO: you'll work in small teams to own delivery of high stakes projects with clients. A day's work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations.
We are looking for customer-focused software engineers to build effective custom software that leverages leading AI models and technology to solve real customer problems. You will partner directly with customers to conceptualize, design, and implement cutting-edge AI solutions. This role focuses on leveraging generative AI models, agentic systems, and iterative prototyping to build impactful proofs of concept (PoCs) that address unique business challenges. The AI engineer acts as a bridge between advanced AI technologies and practical enterprise applications, ensuring that solutions are both innovative and actionable.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also be self driven to learn about the AI market and bring forward that knowledge to improve the way in which we deliver to customers.
Responsibilities
Customer Engagement:
Collaborate deeply with clients to understand their strategic objectives, technical requirements, and operational constraints.
Serve as a trusted advisor for AI strategy, guiding clients through the process of ideating and implementing generative and agentic AI solutions.
Facilitate workshops and brainstorming sessions to identify high-value use cases for AI technologies.
AI Solution Development:
Design, prototype, and deploy AI-powered PoCs using generative models (e.g., GPT, DALL-E) and agentic systems tailored to specific client needs.
Build end-to-end pipelines for deploying AI solutions on client infrastructure, ensuring scalability, security, and performance.
Experiment with cutting-edge methods in natural language processing (NLP), computer vision, reinforcement learning, and multi-agent systems to deliver innovative solutions.
Iterative Prototyping:
Use an experiment-driven approach to rapidly test hypotheses and refine prototypes in collaboration with client teams.
Develop reusable frameworks and tools to accelerate the deployment of generative AI solutions across diverse industries.
Cross-Functional Collaboration:
Work closely with Sales, Applied Research, Product Development, and Customer Success teams to ensure seamless project execution.
Provide actionable feedback from customer engagements to inform the development of new AI capabilities.
Knowledge Sharing:
Document best practices and lessons learned from client projects to contribute to internal knowledge bases.
Mentor junior engineers on the application of generative and agentic AI technologies in real-world scenarios.
Requirements
Technical Expertise:
Strong proficiency in programming languages such as Python or JavaScript, with experience in frameworks like TensorFlow or PyTorch.
Hands-on experience with generative AI models (e.g., GPT-4/5), agentic systems, or reinforcement learning frameworks.
Familiarity with deploying machine learning models in production environments using cloud platforms (e.g., AWS, Azure) or on-premise systems.
Problem-Solving Ability:
Proven ability to translate abstract business challenges into concrete technical solutions using generative AI.
Strong analytical skills to evaluate model performance and optimize for specific use cases.
Client-Facing Skills:
Exceptional communication skills for explaining complex AI concepts to diverse stakeholders.
Ability to build trust-based relationships with clients and navigate ambiguous problem domains collaboratively.
Adaptability:
Flexibility to work across industries such as healthcare, finance, defense, or retail while tailoring solutions to each domain.
Willingness to travel or work on-site with clients as required.
Requirements (Education, Certification, Training, and Experience)
Bachelor's degree in computer science or related field or equivalent experience
At least 3 years of experience in software engineering or applied machine learning roles.
Direct experience working with customers on the development of AI-driven applications is highly desirable
Passion for exploring the frontiers of generative and agentic AI technologies.
Entrepreneurial mindset with a focus on delivering measurable business impact through innovative solutions.
Commitment to continuous learning and staying at the forefront of AI advancements.
This role is ideal for those who thrive at the intersection of technology innovation and customer engagement. You will have the opportunity to shape the future of enterprise AI adoption while solving some of the most complex challenges faced by leading organizations.
BENEFITS
- Opportunities for certification and training
- Dual monitor setup and high-spec workstations
- English courses
- Gym allowance
- Medical Reimbursement
- Full salary covered up to 20 days of sickness
- Flexible working hours
- Loyalty scheme
- Team building activities, special events and conferences
- UK/EU Travel opportunities
- Snacks and drinks in the office
To see more roles, click here.
Ready to apply?
Apply to Amdaris
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
ABOUT THE ROLE:
We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.
As an Senior AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.
Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East's strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.
WHAT MAKES THIS ROLE UNIQUE:
- A long-term strategic partnership, not short-term consulting
- Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research
- The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes
- A high-trust, fast-moving setting where engineers have meaningful ownership and influence
Customer Engagement & AI Strategy
- Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints
- Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases
- Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions
- Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows
- Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure
- Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client
- Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams
- Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems
- Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives
- Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account
- Provide structured feedback from customer engagements to influence internal product and platform development
- Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities
- Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments
Technical Expertise
- Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow
- Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks
- Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure
- Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions
- Strong analytical skills to evaluate model performance and optimize systems for real-world constraints
- Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders
- Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships
- Ability to work across multiple industries and domains, tailoring AI solutions to different contexts
- Entrepreneurial mindset with a focus on ownership, execution, and measurable impact
- Willingness to travel or work on-site with clients as required
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience
- 3+ years of experience in software engineering, applied machine learning, or AI-focused roles
- Prior experience working directly with customers on AI-driven applications is highly desirable
- Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically
This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Senior AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.
BENEFITS
- Opportunities for certification and training
- Internal referral bonus up to EUR 1.000
- English courses
- Gym allowance
- Medical Reimbursement
- Full salary covered up to 20 days of sickness
- Flexible working hours
- Loyalty scheme
- Team building activities, special events and conferences
- UK/EU Travel opportunities
- Snacks and drinks in the office
To see more roles, click here.
Ready to apply?
Apply to Amdaris
About the job
Industry Insight
Transportation logistics is the foundational industry that powers everything we rely on daily, yet it remains a complex and fragmented domain ripe for technological revolution. The US transportation logistics industry alone is an $800 billion market.
Alvys is not just participating in this change; we are driving it as the fastest-growing Transportation Management System (TMS) in history, uniquely positioned to truly transform this essential sector.
Your role will be at the forefront of automating and standardizing a sector that moves trillions of dollars' worth of goods annually, predominantly by truck, but still lacks modern tools and solutions. Your leadership will help bridge this gap, bringing innovative technologies to a traditionally underserved and mission-critical industry.
About Alvys
Alvys is the fastest-growing Transportation Management System (TMS) in history, uniquely positioned to dominate and truly revolutionize the $800 billion US transportation logistics industry.
We're not just iterating on old tools; we're building a world-class, multi-tenant SaaS platform from the ground up to automate, standardize, and transform this essential sector. Join us to apply your technical vision to one of the economy's most mission-critical and underserved markets, making a massive, tangible impact on the movement of global goods.
This is where industry experience meets cutting-edge technology to create the undisputed market winner, and you will be a core part of that journey.
About The Role
As a Data Engineer, you will be the primary architect of our data ecosystem. Alvys is shifting toward a Snowflake-centric data architecture to power our next generation of logistics intelligence. You aren't just building pipelines; you are defining our LLM-based data strategy, enabling large-scale ML model deployment, and leveraging Snowflake Cortex to turn fragmented logistics data into actionable AI-driven products.
This is a high-visibility, 'player-coach' position. You will work closely with leadership to ensure our data infrastructure supports real-time operational needs today while scaling for the AI-first logistics world of 2026 and beyond.
Our Tech Stack
- Data Platform: Snowflake (Warehouse, Cortex AI/ML, Semantic Models, LLM Agents)
- Data Pipelines: dbt, Fivetran, Reverse ETL (Census)
- AI/ML: Snowflake Cortex, OpenAI, Azure Cognitive
- Backend/Infra: .NET/C#, Python, Azure Ecosystem, GitHub Actions
- Define and implement the strategy for LLM-based data products, including data preparation, semantic layer design, and embedding pipelines for RAG-based applications.
- Own the design and evolution of our Snowflake architecture. Lead the implementation of Snowflake Cortex for AI/ML workloads, including semantic models and LLM agents.
- Design and maintain reliable, performant ELT/Reverse ETL pipelines. Ensure our multi-tenant SaaS data remains isolated, secure, and performant at scale.
- Build and operationalize pipelines for large-scale ML and LLM model development, moving from POC to production-grade deployment within the Snowflake perimeter.
- Think holistically about the data estate. Reduce complexity through modularity and well-defined service boundaries (e.g., Medallion Architecture).
- Serve as the go-to expert for emerging data trends. Mentor engineers and partner with Product and Design to translate complex business logic into automated deliverables.
- 7+ years of experience in Data Engineering with a proven track record of delivering mission-critical data platforms.
- Deep proficiency in Snowflake (Data Modeling, Query Optimization, Security, and Cortex AI functions).
- Expert-level skill in SQL and Python. Extensive experience with dbt and modern orchestration (Airflow/Dagster).
- Demonstrated experience building pipelines for ML or LLM-based applications, including feature engineering and model deployment.
- Competency in Azure (preferred) or other major cloud providers, including CI/CD and infrastructure-as-code principles.
- Experience driving cross-team consensus on architectural decisions and mentoring junior/mid-level engineers.
- Ownership: You take end-to-end responsibility. If it’s in production, it’s yours—from the initial schema design to the final dashboard latency.
- Pragmatism: You believe technical debt is a strategic choice. You choose solutions that scale and solve real problems over theoretical "perfection."
- Simplicity: You prioritize modularity and clean design to reduce cognitive load in a complex logistics domain.
- Transparency: You democratize data. You ensure insights are accessible across the organization and participate in constructive feedback loops.
#LI-Hybrid
Ready to apply?
Apply to Alvys