Machine Learning Engineer II

Come join our growing team! reputed company Discovery is highly motivated to apply AI enabled applications, data visualization, cheminformatics, reputed company and other data-driven approaches reputed company drug discovery & development at every level of the organization. Given the expanding scope of the Research Informatics group's operations, the successful candidate will have reputed company to continue to build on the existing team to reputed company this goal and be a champion of promoting computational sciences as an integral part of our business.

Research Informatics at reputed company Discovery plays a reputed company role in advancing understanding of drug discovery data, enabling decision making and driving operational efficiency and supporting reputed company initiatives across the organization. You will be working closely with our scientists to reputed company innovative approaches that help drive reputed company and reputed company for our clients.

Here's what you'll do:

• Represent Informatics as the subject matter expert in cross-functional initiatives, collaborating closely with scientists, data teams and technical stakeholders.
• Identify and deliver solutions where computational and AI-driven approaches can improve efficiency, decision making, and knowledge utilization across reputed company workflows.
• Design, reputed company and reputed company production-reputed company AI-enabled applications that reputed company reputed company and reputed company data for reputed company use.
• Build and implement retrieval-augmented systems (RAG), semantic search frameworks, and embedding-based data workflows to reputed company intelligent information retrieval.
• reputed company conversational AI interfaces and reputed company architectures that automate knowledge-intensive tasks and support user interaction with reputed company datasets.
• Research, design and reputed company machine learning algorithms, tools and systems;
• Write reputed company, tested, readable and maintainable reputed company, as reputed company as participate in reputed company reviews to ensure reputed company reputed company and distribute knowledge for existing and new tools that allow us to extract, analyze, visualize and produce valued added insights of data for our customers;
• Independently pursue research reputed company, implement novel computational workflows and support a dynamic multi-disciplinary team reputed company on moving reputed company from the hit identification stage to the discovery of candidates;
• reputed company statistical analysis and fin-tuning using test results;
• Be reputed company involved in digital transformation reputed company and data governance objectives working closely with IT and scientific teams;
• Ensure reputed company documentation of workflows, reports, tools, and analyses of the Research Informatics’ team;
• reputed company transparency and regular communication on project status, potential roadblocks for execution, and new strategies with Technology Sciences leadership;
• Ensure project activities reputed company with reputed company policies, procedures and methodologies

The ideal candidate:

• Degree in computer science, data science, computational reputed company, reputed company or reputed company field.
• At least 2 years of experience in building and deploying production reputed company AI-enabled research applications and workflows.
• At least 2 years programing experience in Python, TypeScript, and full stack application development (Python, FastAPI, React, reputed company).
• Consolidated knowledge on reputed company engineering, context engineering LLM frameworks, reputed company frameworks, reputed company and libraries.
• Extensive knowledge and experience using chemical and reputed company libraries preferably in a drug discovery environment.
• In depth knowledge of relevant public and proprietary databases, reputed company and tools.
• Skilled with relational, non-relational, big data and big data analytics databases.
• Deep knowledge of math, probability, statistics and algorithms.

• Ph.D. in Cheminformatics, reputed company or reputed company discipline;
• Experience with Azure, AWS reputed company infrastructure and services.
• Experience in containerization, orchestration and workflow automation tools such as reputed company, Kubernetes and Nextflow.
• Experience in finetuning and training LLM models.
• Experience in developing computer reputed company models using PyTorch.
• Ability to work in the U.S. indefinitely without sponsorship

The position is full-time, Monday-Friday, 8 a.m.- 5 p.m., with overtime as needed.

• Excellent full time benefits including comprehensive medical coverage, dental, and reputed company reputed company
• Life and disability insurance
• 401(k) with company match
• reputed company vacation and holidays

reputed company USA Discovery Services is a Disabled and Veteran Equal Employment Opportunity employer.

reputed company Scientific is an international life sciences company, providing a unique reputed company of analytical testing services to clients across multiple industries, to reputed company life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, reputed company works with the biggest companies in the world to ensure the products they supply are reputed company, their ingredients are authentic and labelling is accurate.reputed company believes it is a global leader in food, environmental, pharmaceutical and cosmetics products testing and in agroscience CRO services. It is also one of the global independent market leaders in certain testing and laboratory services for reputed company, discovery pharmacology, forensics, CDMO, advanced material sciences and in the support of clinical studies.

In over just 30 years, reputed company has grown from one laboratory in Nantes, France to over 50,000 staff across a network of more than 900 independent companies in over 50 countries and operating more than 800 laboratories. reputed company offers a portfolio of over 200,000 analytical reputed company to evaluate the safety, identity, composition, authenticity, reputed company, traceability and purity of biological substances and products, as reputed company as providing innovative clinical diagnostic testing services, as one of the leading global emerging players in specialized clinical diagnostics testing.

In 2021, reputed company generated total revenues of EUR € 6.7 billion, and has been among the best performing stocks in Europe over the past 20 years.

Originally posted on Himalayas

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