Innotechfy

We are looking for a Lead AI/ML Engineer to architect and develop intelligent learning systems that personalize education, assess learner progress, and enhance engagement through data-driven insights. You will lead the design of adaptive learning algorithms, NLP-based assessments, and recommendation models for personalized learning paths.

Responsibilities

• Design and implement personalized learning algorithms (rule-based and ML-driven).
• Develop recommendation systems to suggest courses and content based on learner behavior, skills, and goals.
• Build and fine-tune NLP models for automated essay scoring, topic extraction, and content tagging.
• Collaborate with data engineers to create ETL pipelines from platform usage data, assignments, and assessments.
• Work closely with the HPC and MLOps teams to deploy and monitor ML services efficiently.
• Contribute to model explainability, fairness, and transparency in AI-driven educational recommendations.
• Mentor junior ML engineers and review research/implementation papers for feasibility.

Requirements

• 5+ years of experience in machine learning, NLP, or applied AI.
• Strong knowledge of Python, PyTorch or TensorFlow, and scikit-learn.
• Experience with recommendation systems, classification, and reinforcement learning.
• Practical experience with Azure ML, Databricks, or AWS SageMaker.
• Familiarity with GDPR compliance and ethical AI in EdTech.
• Experience leading small AI teams or research projects.

We are seeking an experienced HPC Systems Engineer to design and manage the high-performance computing infrastructure supporting our AI workloads — from deep learning training to large-scale data processing for educational analytics.

Responsibilities

• Architect and maintain HPC clusters and GPU-based compute environments for ML model training.
• Optimize distributed training pipelines (PyTorch DDP, Horovod, or Ray).
• Manage job scheduling systems (Slurm, Kubernetes, or Azure Batch) for efficient workload allocation.
• Ensure scalable data access and high-throughput pipelines between storage and compute nodes.
• Collaborate with AI/ML and MLOps teams to integrate training pipelines with CI/CD workflows.
• Implement security, resource monitoring, and cost optimization practices for compute clusters.
• Automate cluster provisioning and teardown to support on-demand AI workloads.

Requirements

• 5+ years managing HPC or GPU-based compute infrastructure.
• Proficiency with Linux, Slurm, Kubernetes, Docker, and Terraform.
• Hands-on experience with Azure Batch, AWS ParallelCluster, or on-prem HPC setups.
• Strong understanding of networking, parallel file systems, and GPU performance tuning.
• Familiarity with data pipelines and model training orchestration.
• Excellent scripting skills (Bash, Python).

We’re looking for a skilled MLOps Engineer to build the bridges between data science, engineering, and DevOps — ensuring smooth deployment, monitoring, and scaling of AI/ML models used in personalized learning, recommendation, and analytics systems.

Responsibilities

• Implement CI/CD pipelines for ML models using Azure ML, MLflow, or Kubeflow.
• Containerize and deploy models as APIs or microservices.
• Automate model retraining and evaluation based on user interaction data.
• Develop monitoring dashboards (Prometheus/Grafana) for model performance and drift detection.
• Manage feature stores, model registries, and experiment tracking.
• Collaborate with Data & AI teams to standardize data schemas and versioning.
• Ensure security, compliance, and reproducibility across ML pipelines.

Requirements

• 3+ years in MLOps, DevOps, or DataOps roles.
• Proficient in Python, Docker, Kubernetes, and CI/CD tools (GitHub Actions, Azure DevOps).
• Strong understanding of ML lifecycle management (training, deployment, monitoring).
• Experience with MLflow, DVC, or Kubeflow Pipelines.
• Familiarity with cloud infrastructure (Azure/AWS/GCP) and IaC tools (Terraform, Bicep).
• Understanding of data governance and GDPR compliance.

About Us

Innotechfy is a fast-growing Ukrainian software development company providing full-cycle solutions: Web, Mobile, AI/ML, .NET, Python, JavaScript/TypeScript, React, Angular, iOS/Android, Cloud & DevOps.
We work with clients across the US and Europe, helping them build MVPs, scale existing products, and develop AI-powered solutions.

We are now looking for a Sales Specialist who can take full ownership of the sales cycle and bring new clients to the company.

Responsibilities

Full-cycle sales:

• Search for new clients (Upwork, Bark, JobBro, LinkedIn, outreach, marketplaces).
• Initiate conversations, introduce the company, and present our services.
• Identify client needs and prepare tailored proposals.
• Create commercial offers, estimates, and pricing models.
• Lead negotiations (messages, calls, demos).
• Guide the client from first contact to deal closure.
• Hand off the client to the delivery team after closing.

Lead & CRM Management

• Work with CRM and keep all lead statuses updated.
• Analyze the quality of leads and suggest improvements.
• Prepare outreach scripts and personalized pitches.

Requirements

• Proven experience in IT Sales (Outsourcing / Outstaffing / Software Development).
• Understanding of software development processes and technologies.
• Strong English skills (B2+).
• Experience in cold / warm outreach.
• Negotiation and deal-closing skills.
• Results-driven mindset.

Nice to Have

• Experience with Upwork, LinkedIn Sales Navigator, Bark, Pipedrive, HubSpot.
• Understanding of AI technologies and industry trends.
• Own network or database of potential clients.

We Offer

• Base salary: $500/month.
• Commission: 7% from each closed deal (no limits).
• Fast career growth up to Head of Sales.
• Bonuses for hitting KPIs.
• Flexible schedule & freedom to manage your own workflow.
• Strong technical support from CTO and development team when preparing proposals.
• Growth opportunities in a rapidly expanding company.