Senior Machine Learning Engineer
Baku, Baku, Azerbaijan - Remote
Intellectsoft
Discover excellence with Intellectsoft, a software development company shaping digital innovation since 2007. Elevate your business with our expert services.Our customer is a leading consulting, software, and technology company servicing industries such as healthcare, private equity, technology, and more. It develops products that create value and deliver company results across critical areas of its business, including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy, and many more. Besides, the company is at the forefront of innovation, actively expanding its AI services to deliver cutting-edge solutions.
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 in 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 languages such as 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 such as 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data CI/CD Computer Science Consulting Deep Learning DevOps Engineering Feature engineering GCP Java Kubeflow Machine Learning Mathematics MLFlow ML models Pipelines PySpark Python Research SageMaker Scala Security Spark
Perks/benefits: Career development Equity Gear Health care
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs