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.

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  Data Science Team Leader with a focus on generative models (m/f).

Responsibilities:

— Study and transform data science prototypes.

— Research and implement appropriate ML algorithms and tools.

— Design machine learning systems.

— Develop machine learning applications according to requirements.

— Know the SOTA in the field of generative technologies and be able to reproduce key experiments.

— Develop prototypes based on generative models for multimodal content (text, images, video).

— Develop and implement a pipeline of product integration for successful prototypes.

— Manage a team of machine learners to plan, implement and support new technologic solutions.

— Understand how certain product features impact business results.

Requirements

— Previous experience efficiently conducting research and creating ad hoc generative prototypes.

— Previous experience in the management of RnD teams.

— A strong background in probability theory and statistics, data mining, and machine learning.

— Proficiency in Python and proven experience using popular ML packages (PyTorch, TensorFlow, huggingface,etc).

— Deliver your work to production as a stand-alone microservice.

— Be enthusiastic about DS and stay up to date with SotA Machine Learning algorithms and developments.

— Be eager to help your teammates, share your knowledge with them, and learn from them.

— Be able to write production code.

— Be open to receiving constructive feedback.

— Academic papers at major ML conferences is a plus.

— Experience as a CTO in a start-up is a plus.

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: An internet banking project, aims at modernizing and adding more capabilities to the current internet banking solution. This is a thin client application requiring a lot of integration with legacy backend systems.

Responsibilities:

• Analyzing requirements and designing solution to fulfill it.
• Design, build and maintain efficient, reusable, and reliable code.
• Diagnose and fix bugs and performance bottlenecks for performance.
• Ensuring high performance and quality of deliverables.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Build pixel-perfect, buttery smooth UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.

Requirements:

Technology stack, skills, and knowledge.

• Mobile developer with good knowledge react native (JavaScript, Typescript).

Experience level.

• Minimum 2 years of experience working in react native projects.

 Personal qualities, soft skills.

• Team player, excellent communication excels, problem solving skills.

English level.

• B1+ (strong conversational skill).

A company that provides high quality software solutions and services that drive business efficiency and effectiveness is looking for a Field Service Engineer.

Responsibilities:

• Comprehend customer requirements and make appropriate recommendations. 

• Respond to customer inquiries and assist in troubleshooting and resolving challenges.

• Manage all onsite installation, repair, maintenance and test tasks.

• Document the functional and, sometimes, technical design of the system.

• Maintain a working log detailed all required system updates, as well as the date of completion. 

• Coordinate and setup training classes and train end users on best practices, maintaining consistency across users. 

• Improve existing programs by evaluating objectives and specifications, reviewing proposed changes and making recommendations.

• Manage all assigned projects to completion ensuring on-time delivery and meeting of budgetary demands.

Requirements:

• 6 months to 1 year of experience in electrical installations (Residential or Industrial) or Electrical Controls or Automation Systems for batching.

• 6 months to 1 year of experience in industrial automation system implementation for software.

• Curious mindset translating to key discovery skills (questioning & listening to understand) with the ability to identify problem areas (pain points). 

• Proficiency in machine automation, mechanics and electronics.

• Provide technical hardware instruction and assistance to customer representatives regarding installation, operation, and maintenance. 

• Strong verbal/written communication and documentation skills.

• Interpersonal skills.

Languages: Dutch / English (C1)