SENIOR AI ENGINEER

My client, a prominent and acclaimed organization in the life science field, is presently seeking an adept Senior AI Engineer to join their team. In this role, you'll be an integral part of a dynamic team, contributing significantly to the design, implementation, and testing of state-of-the-art Machine Learning frameworks. You'll engage in rapid iterative prototyping, collaborating closely with experts in computer vision, machine learning, platform engineering, and research. Responsibilities: Design, develop, and deploy tailored AI models for specific project needs, encompassing techniques such as NLP, Computer Vision, Speech & Conversational AI.Demonstrate a proficient understanding of Document AI development processes, models, and applications.Possess a solid grasp of LLMs with hands-on experience in Generative AI Models & their applications being a plus.Deliver and maintain end-to-end Machine Learning solutions in production, from data preparation to model update, utilizing MLOps methodologies.Collaborate with data scientists, ML engineers, and stakeholders to transition prototypes into production.Optimize algorithms to enhance performance and functionality.Integrate AI solutions into cloud platforms like AWS, Azure, or GCP.Stay abreast of the latest AI, LLMs, MLOps, and machine learning trends and best practices.Ensure the robustness, scalability, and reliability of AI solutions.Implement CI/CD pipelines using Azure DevOps/TFS.Provide technical leadership and mentorship in AI to team members.Work closely with cross-functional teams to integrate AI solutions into products and services. Requirements: Minimum of 6+ years of experience in AI & ML.Expertise in biology, chemistry, engineering, data science, or machine learning.Proven experience in AI, ML, MLOps, Text Analytics, and Generative AI.Proficiency in programming languages like Python.Experience with machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.Hands-on experience with cloud platforms such as AWS, Azure, or GCP.Familiarity with Machine Learning and Neural Network architectures like Ensemble Models, SVM, CNN, RNN, Transformers, etc.Proficiency in Natural Language Processing (NLP) tools like NLTK, Spacy, and Gensim.Familiarity with MLOps tools such as Kubeflow, MLflow, or Azure ML.Experience with SQL and NoSQL databases like MongoDB, Postgres, Neo4j, etc.Proficiency in RestAPI python frameworks such as Fast API/Flask/Django.Excellent problem-solving skills and a collaborative mindset.Strong communication skills to collaborate effectively with diverse teams.Ideally a Master's or PhD in Statistics, Mathematics, Computer Science, or another quantitative field.Knowledge and experience in statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.Experience in creating and utilizing advanced machine learning algorithms and statistics, including regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.Experience in querying databases and using statistical computer languages like R, Python, etc.Published research or contributions to open-source AI/ML projects.