Available Offers for Tensorflow

Senior R&D Project Manager for AI & Data Science in Geology | Moscow

Full-time
Remotely
Are you an experienced R&D leader with a passion for cutting-edge AI and data science applications? We're seeking a visionary Project Manager to spearhead the development of an innovative artificial intelligence tool that will revolutionize information processing in the geology sector. This role offers the unique opportunity to build a first-of-its-kind product from the ground up and potentially grow into a CEO position. Project Overview Our ambitious initiative aims to create a pioneering AI-powered solution that will significantly enhance the speed and quality of processing large volumes of geological data. As the R&D Project Manager, you'll lead a specialized team of data scientists, AI engineers, and domain experts to develop this transformative tool that stands to disrupt traditional approaches in the geology and data science fields. Key Responsibilities: - Design and implement comprehensive development processes for our AI-based geological data processing tool. - Establish and lead cross-functional teams of data scientists, ML engineers, and geology experts from inception. - Create detailed project roadmaps with clear milestones, deliverables, and timelines for the R&D initiative. - Communicate effectively with C-level executives, ensuring alignment between technical development and business objectives. - Identify monetization opportunities and develop business strategies for the product's market introduction. - Manage resource allocation, budgeting, and risk assessment throughout the project lifecycle. - Foster a culture of innovation, collaboration, and excellence within the R&D team. - Translate complex technical concepts into accessible presentations for stakeholders and potential clients. - Evaluate emerging technologies and methodologies in AI/ML to maintain the product's competitive edge. - Guide the team through challenges in developing advanced neural networks and machine learning algorithms for geological applications. Required Skills and Experience: - Proven track record (5+ years) managing R&D projects, preferably in AI, machine learning, or data science domains. - Demonstrated experience building development processes and technical teams from the ground up. - Strong understanding of data science fundamentals, artificial intelligence, neural networks, and machine learning models including recent developments like transformer architectures and foundation models. - Background in or substantial knowledge of geology, mining, or related earth science fields. - Exceptional communication skills with the ability to bridge technical and business languages effectively. - Advanced project management capabilities with experience creating comprehensive product roadmaps. - Strategic thinking with the ability to identify product monetization opportunities and market fit. - Experience working with TensorFlow 2.x, PyTorch, or similar modern ML frameworks. - Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field. Advanced degree preferred. - Fluency in English; Russian language skills highly advantageous. Nice to Have: - Previous experience in the mining industry or industrial data processing. - MBA or business development experience complementing technical expertise. - Publications or patents in relevant technical fields. - Experience with geological information systems (GIS) or specialized geological software. - Knowledge of cloud infrastructure for AI deployments (AWS, Azure, or GCP). - Familiarity with NLP techniques for processing technical documentation. - Experience with computer vision applications for geological imagery analysis. - Prior startup experience or product development leadership. What We Offer: - Opportunity to lead a truly innovative product with potential to transform an entire industry. - Clear path to executive leadership, with potential to grow into the CEO role as the product matures. - Competitive compensation package commensurate with experience. - Modern, comfortable office environment in Moscow. - Full-time position with a stable, forward-thinking company. - Chance to work at the intersection of cutting-edge technology and practical industrial applications. - Professional development opportunities in both technical and leadership domains. Join us in creating next-generation AI solutions that will redefine how the industry processes and analyzes geological data. This is a rare opportunity to lead groundbreaking work with significant industry impact and grow your career to the highest executive level.

Senior Machine Learning and Image Processing Specialist

Remotely

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

Senior ML/CV Engineer

Remotely
Full-time

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).

Data Science Team Leader

Remotely
Full-time

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.