A proactive attitude, strong problem-solving skills, and a commitment to continuous learning. Strong background in machine learning (ML) with practical……
Analyzes, develops, maintains software for the organization’s products and systems. Corporate social responsibility initiatives including support for……
Analyzes, develops, designs, and maintains software for the organization’s products and systems. Corporate social responsibility initiatives including support……
You can hold the line on simplicity against well-meaning requests for more configuration, and you can explain that trade-off to customers and internal……
Additionally, there is a wide-ranging employee assistance programme available to advise on personal, family or financial matters and also fun social events……
Solid understanding of machine learning concepts, algorithms, and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning,……
A degree in a quantitative, technical subject (e.g. Machine Learning, Maths, Physics) from a top university. Participation in the uncapped company bonus scheme.…
Analyzes, develops, designs, and maintains software for the organization’s products and systems. Corporate social responsibility initiatives including support……
As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm.…
These apps empower customers to manage global B2B payments, submit and approve expenses, and control both virtual and physical Airwallex cards—including……
Team building and leadership: Recruit, onboard, and lead a QA team of 3-4 QA engineers (manual, automated, and hybrid profiles); establish team rituals,……
Good knowledge of standard NLP techniques like Semantic similarity, Language Modelling, content retrieval, question answering and summarization.…
You have at least 3 years industrial experience in machine learning algorithm or software development; or at least 3 years research experience in software……
Training Delivery & Learner Support. 3–6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building……
You have 2 or more years of experience as a machine learning engineer. Collaborate with the product team on customer projects, planning, designing and……
Trusted by over 400 customers worldwide, Genus enables chip design through cutting-edge optimization for timing, area, and power. 25 days holiday per year.…
Experience working in fast-paced, agile environments within financial services. Actively contributes to the engineering community as an advocate of firmwide……
This team will be responsible for creating horizontal capabilities in the form of APIs, libraries, and thought leadership coupled with practical hands on……
You will collaborate closely with cross-functional teams—including designers, product managers, and backend engineers—to turn complex wireframes into high-……
Design, develop, and integrate Agentic AI solutions into existing and new products. Ability to code in one or more languages and build data pipelines, machine……
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