A proactive attitude, strong problem-solving skills, and a commitment to continuous learning. Strong background in machine learning (ML) with practical……
Experience with CI/CD for large-scale products. Certain roles may involve working on technologies subject to export restrictions. 3+ years with build systems.…
0–2 years of professional experience or relevant internship/placement experience in a DevOps or platform engineering role. Experience in the financial sector.…
Collaborate closely with product and design to balance technical quality with delivery speed. Architect solutions that are maintainable, scalable, and aligned……
✋ 2 volunteering days per year. Ability to manage priorities and deliver results in a fast-paced environment. ❤️Health cash plan & life assurance.…
Partner with infrastructure and multidisciplinary product and research teams to help them innovate and ship fast. And plan lifecycle of hardware and licenses.…
This streamlined access helps to reduce the time-to-market of important drugs, conduct trials with the most relevant experts in the respective field, and spread……
Passionate about modern data engineering and AI trends, including LLM powered analytics, semantic layers, vectorized data access, and metadata-driven……
Mentorship from experienced software and machine learning engineers, including direct access to the founders. Partner with the technical team to ideate, develop……
Training Delivery & Learner Support. This is a learning -focused engineering role, combining practical AI engineering with the ability to contribute and deliver……
Hybrid working (2 days a week in office). This role is hands-on and strategic, working closely with product, engineering, and upcoming data science teams.…
Embedded Linux, C++/Python, embedded systems, multi-sensor and camera-based devices (including thermal and line-scan), data acquisition and edge processing,……
TechInsights’ customers include the most successful technology companies who rely on TechInsights’ analysis to make informed business, design, and product……
Building / Maintaining relationships - To be effective at removing blockers, relationships must be built and maintained with other delivery teams, product, BAE……
Champion security best practices including secrets management and access controls. Upon request, Qualcomm will provide reasonable accommodations to support……
This role sits at the intersection of strong software engineering and deep AI expertise, with a focus on turning state-of-the-art AI capabilities into robust,……
If you have a Bachelor’s or Master’s degree in Artificial Intelligence or a related field, more than 2 years of experience in applied AI/ML research or……
If you have a Bachelor’s or Master’s degree in Artificial Intelligence or a related field, more than 2 years of experience in applied AI/ML research or……
Technical Expertise & Solution Design: Provide customers with deep technical expertise in Generative AI and Machine Learning technologies, designing innovative……
Lead the technical roadmap by partnering with Architecture and feature teams, influencing key design decisions and driving modern tooling and best practices.…
Entrepreneurial mindset or experience working with startups or fast-paced teams. Engineering mindset and the ability to work cross-functionally with ML……
IDBS, a Danaher company, leverages 35 years of scientific informatics expertise to help organisations design, execute and orchestrate processes, manage,……
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Insilico Medicine is seeking a Machine Learning Engineer to develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will be writing production-level Python code, run ML-related experiments, integrate new functionalities, work with foundation models. The candidate will also provide technical support to the DevOps team in running the ML infrastructure and perform intrateam MLOps.
Reports to
Team Lead in Cheminformatics
Responsibilities:
Develop and maintain the internal machine learning (ML) pipeline at the production level to support cutting-edge drug discovery initiatives.
Optimize, refactor, and debug existing code in Python to enhance performance, scalability, and efficiency.
Deploy ML models into the platform for real-world applications in chemistry and biology.
Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness.
Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement.
General Requirements:
I. Education
Bachelor’s degree/Master’s degree/PhD degree in a Machine Learning related field.
II. Experience and Skills
Strong background in machine learning (ML) with practical application experience.
4+ years of experience in Python production-level development.
Proficiency with coding standards such as PEP8, Google style guide, or similar best practices.
Experience with NoSQL databases, such as MongoDB.
Experience working with Linux or other Unix-based operating systems.
Proficiency in version control systems like Git.
Hands-on experience with Python numerical and machine learning libraries such as Numpy, Pandas, PyTorch, and Scikit-learn.
Solid understanding of object-oriented programming (OOP), design patterns, and software architecture best practices.
A proactive attitude, strong problem-solving skills, and a commitment to continuous learning.
III. Preferred Skills
Experience with deep learning (DL) frameworks and techniques.
Familiarity with RDKit for cheminformatics and Plotly for data visualization.
Hands-on experience with a range of ML/DL methods such as Transformers, RNNs, CNNs, GNNs, and GradientBoosting.
Expertise in feature engineering and optimization techniques.
Knowledge of cheminformatics and the drug discovery process.
Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies.
Experience in programming with C++ is an advantage