We are Intellectsoft - a digital transformation consultancy group and engineering company that delivers cutting-edge solutions for global organisations and technology startups. Since 2007, we have been helping companies and established brands reimagine their business through digitalization. We're looking for an exceptional Machine Learning Engineer to join our team. Are you up for a challenge?
The Client:
Our client, a leading consulting firm, holds significant influence in the global healthcare sector. With partnerships spanning nearly every major pharmaceutical and healthcare entity, they operate extensively in research and development, commercialisation, supply chain management, and manufacturing. Essentially, their services encompass the entirety of the healthcare value chain.
The Project:
The project centres on a low-code, no-code platform designed to generate autonomous agents at scale. These agents can facilitate various productivity enhancements within enterprises, such as Q&A engines, basic data analysis, and improved writing techniques.
Intellectsoft’s role entails developing a search system leveraging OpenAI’s GPT technology. Our engineers will be involved in different development teams focused on key system layers. This system interfaces with multiple data repositories, indexes documents, and stores data within a centralized database. Consequently, end-users can effortlessly locate information even without precise keyword inputs, thanks to intelligent semantic matching capabilities.
Responsibilities:
- Develop, refine, and use ML engineering platforms and components.
- Ensure our programs can efficiently handle large volumes of data and meet deadlines.
- Establish and manage processes for models, including data preparation and prediction.
- Monitor model performance closely and address any issues promptly.
- Collaborate closely with client-facing teams to understand their needs and provide technical support.
- Translate client requirements into straightforward features.
- Write robust code that is easy to test, maintain, and troubleshoot.
- Maintain high standards by adhering to guidelines, participating in code reviews, and ensuring code quality.
- Thoroughly test all components to anticipate and resolve potential issues.
- Utilize tools for issue tracking, code review, and version control.
- Actively participate in team meetings to discuss progress and future plans.
- Stay updated on the latest developments in technology and explore innovative solutions.
Requirements
Must have:
- A degree in Computer Science, Engineering, Mathematics, or a relevant field.
- At least 4 years of practical experience developing machine learning (ML) solutions.
- Minimum 3 years of experience in deploying and managing ML models.
- Proficient in crafting ML models for optimal performance and scalability.
- Skilled in creating feature engineering processes, inference pipelines, and real-time model predictions.
- Strong programming skills in Python, Scala, or Java.
- Experience with distributed computing frameworks like Spark (PySpark).
- Experience with ML platforms like SageMaker, Kubeflow, MLFlow or similar.
- Familiarity with ML Ops for assessing and monitoring model performance.
- Proficiency in deploying models on cloud platforms like AWS, Azure, or GCP.
- Solid understanding of machine learning and deep learning principles.
- Knowledge of fundamental computer science concepts, including common data structures and algorithms.
- Ability to collaborate effectively with diverse teams. Excellent English language skills and communication abilities.
Nice to have:
- Familiarity with DevOps concepts, CI/CD pipelines, and data security measures, along with expertise in cloud platform architecture.
- Hands-on experience in data engineering within Big Data ecosystems.
Benefits
- 35 paid absence days per year for the work-life balance of each specialist + 1 additional day for each following year of cooperation with the company
- Up to 15 unused absence days can be added to income after 12 months of cooperation
- Health insurance compensation
- Depreciation coverage for personal laptop usage for project needs
- Udemy courses of your choice
- Regular soft-skills training
- Excellence Сenters meetups
