Project description

Looking for a highly skilled Senior Machine Learning and Image Processing Specialist to join our innovative team. This role requires extensive experience in graphics, including 3D graphics, and proficiency in NNs and ML approaches for graphics processing. The successful candidate will lead a team of developers working on cutting-edge projects.

Responsibilities:

- Lead the development team in designing and implementing ML algorithms for image and 3D graphics processing

- Develop and optimize image processing pipelines and 3D graphics algorithms

- Utilize NNs and advanced ML techniques to enhance graphics processing capabilities

- Collaborate with cross-functional teams to implement ML solution

- Conduct code reviews, provide technical mentorship, and ensure best practices in software development

- Stay updated with the latest advancements in machine learning, neural networks, and graphics processing

Must have Skills:

- Solid programming skills in C/C++ and Python

- Proven expertise in ML and image processing techniques

- Big experience with deep learning frameworks (e.g., TensorFlow, PyTorch).

- Extensive experience with 3D graphics and related technologies

- Good knowledge of mathematics and linear algebra

- Strong knowledge of NNs and their application in graphics processing

- Excellent leadership skills with experience in leading development teams

- Strong problem-solving abilities and the capability to work collaboratively in a team environment

- Proficiency in GPU Kernels and their implementation for algorithm optimization

Nice to have:

- Knowledge of computer vision techniques

- Familiarity with cloud platforms and their services related to ML and graphics processing

- Experience with software development best practices, including version control and CI/CD pipelines

Other:

• - English: B2 Upper Intermediate

Company published in 1997, was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now company expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Company's superpower is to deliver all of this under one roof on a global scale.

The project involves developing a computer vision system to analyze nurse actions, detect the use of disposable objects, and ensure compliance with established guidelines for procedures like medication administration.

Responsibilities:

• Design, develop computer vision systems and systems for video analysis.

• Prototype proof-of-concept (POC) solutions for specific computer vision and machine learning problems to validate ideas.

• Lead projects from prototype to production.

• Identify and resolve performance and scalability issues.

• Actively participate in the team’s software development processes.

Requirements:

required experience 5+ years

• Strong experience in computer vision. Hands-on involvement in the development of multiple Computer Vision projects that have been deployed to production.

• Strong foundational understanding of Machine Learning concepts and how they apply to Computer Vision tasks.

• Strong expertise in processing and analyzing image and video data.

• Hands-on experience developing and fine-tuning models for segmentation, pose estimation, and object detection.

• Proficiency with deep learning frameworks such as PyTorch and TensorFlow.

• Excellent object-oriented programming skills, with the ability to write high-performance, production-quality code in Python.

Proficient in English for effective communication.

Start Date:

• As soon as possible (subject to a thorough review and interview process by Softeq and the client).

Location:

• 100% remote work; must have the ability to work overlapping hours with Eastern Standard Time (EST).

The project, a platform for creating and publishing content on social media using artificial intelligence tools, is looking for a Lead Data Engineer.

Responsibilities:

- Design, develop, and maintain robust and scalable data pipelines for collecting.

processing, and storing data from diverse social media sources and user interactions.

- Design of data warehouse.

- Implement rigorous data quality checks and validation processes to uphold the integrity.

accuracy, and reliability of social media data used by our AI models.

- Automate Extract, Transform, Load (ETL) processes to streamline data ingestion and transformation, reducing manual intervention and enhancing efficiency.

- Continuously monitor and optimize data pipelines to improve speed, reliability, and scalability, ensuring seamless operation of our AI Assistant.

- Collaborate closely with Data Scientists, ML Engineers, and cross-functional teams to understand data requirements and provide the necessary data infrastructure for model development and training.

- Enforce data governance practices, guaranteeing data privacy, security, and compliance with relevant regulations, including GDPR, in the context of social media data.

- Establish performance benchmarks and implement monitoring solutions to identify and address bottlenecks or anomalies in the data pipeline.

- Collaborate with data analysts and business teams to design interactive dashboards that enable data-driven decision-making.

- Develop and support data marts and dashboards that provide real-time insights into social media data.

- Stay updated with emerging data technologies, tools, and frameworks, evaluating their potential to improve data engineering processes.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

- Proven experience in data engineering, focusing on ETL processes, data pipeline development, and data quality assurance.

- Strong proficiency in programming languages such as Python, SQL and knowledge of data engineering libraries and frameworks.

- Experience with cloud-based data storage and processing solutions, such as AWS, Azure, or Google Cloud.

- Familiarity with DataOps principles and Agile methodologies.

- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.

- Strong communication skills to convey technical concepts to non-technical stakeholders.

- Knowledge of data governance and data privacy regulations is a plus.

Project: IT service provider for the life science and healthcare industry.

Responsibilities:

• Managing a distributed team of DevOps engineers and streams within the project
• Participating in customer meetings, setting objectives, and responding to inquiries
• Advising on technical aspects of installation, configuration, sizing, and scaling in Azure Cloud
• Providing new Azure Cloud resources and services via Terraform and/or Azure ARM templates (including Azure Policies and Azure Blueprints)
• Managing and supporting various environments in Microsoft Azure Cloud
• Configuring and managing the infrastructure deployed in Azure Cloud
• Developing and managing the CI/CD process in Azure DevOps for different types of applications, environments, and automation processes
• Deploying and configuring various data pipelines based on Data Factory, Azure Batch, and Azure Databricks
• Automating deployment of application code to different environments
• Managing build assembly, deployment, and configuration, testing implemented solutions.
• Managing and deploying custom scripts.

What we expect:

• Deep understanding of Azure Cloud, Azure DevOps/Pipelines
• Effective team management skills
• Strong customer negotiation skills
• Good knowledge of Terraform and/or Azure ARM templates/Blueprints
• Solid experience with Kubernetes/Docker
• Knowledge of Azure Virtual Networks, App Services, PostgreSQL, Virtual machines, Data Factory, Batch, Functions (Serverless), Logic Apps
• Knowledge of Azure Monitor, Security Center, Log Analytics, and App Insights and ability to use them for system monitoring and developer support (logs, traces, RCAs)
• Experience in creating infrastructure (planning, scaling, monitoring)
• Upper-Intermediate English or higher.

Objectives: 

• Build end-to-end LiDAR based hardware and software solutions for the physical security market that are easy to install and easy to use when compared to typical camera-based solutions and video management solutions.
• Develop a modern, efficient regression testing process to test the entire SW stack.
• Estimate a challenge, рrepare a task pool for the team.
• Manage the work of the testing team. 

The skill-set required:

• Experience in the physical security market (QA/Dev for a VMS provider, Access Control provider, Camera manufacturer, Integration Solutions Provider).
• Experience in testing/developing solutions for Linux, Windows, Web-Based platforms.
• For Windows in particular, experience in .NET/C#.
• Experience with virtual environments, containers (VMWare, Docker, etc.)