Oracle

Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.. Proficiency with a deep learning framework such as PyTorch, TensorFlow, or Keras and and/or natural language processing using NLTK, spaCy, Gensim, etc.. 2+ years of experience in building solutions for AI/ML cognitive services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., OCI, AWS, Azure, GCP). Experience working with large transformer-based architectures for NLP, CV, ASR, or others.. Strong understanding of machine learning, deep learning, computer vision, natural language processing concepts, and speech recognition concepts.

senior machine learning engineer

Job Description As a member of the OCI Enterprise Engineering Content, Search, and AI Services team, responsible for developing, delivering, and supporting major corporate Services and platforms like Oracle.com, Java.com, Enterprise Cognitive Digital Assistant Services, and AI Service Desk. As an Enterprise ML Developer, we seek an expert in machine learning to help us extract value from our data. You will implement all the processes from data collection, cleaning, and preprocessing to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up to date with the latest developments in the field. Responsibilities Responsibilities <ul><li>Understand business objectives and develop models that help to achieve them, along with metrics to track their progress. </li><li>Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences. </li><li>Analyze the ML algorithms that could be used to solve a given problem and rank them by their probability of success. </li><li>Explore and visualize data to understand it, then identify differences in data distribution that could affect performance when deploying the model in the real world. </li><li>Verify data quality and collaborate with data pipeline engineers on goals to obtain required quality </li><li>Define validation and testing strategies. </li><li>Define and implement the preprocessing or feature engineering to be done on a given dataset. Define and implement data augmentation pipelines. </li><li>Train models and tune their hyperparameters. </li><li>Analyze the errors of the model and design strategies to overcome them. </li><li>Develop and use DevOps tools and CI/CD methods to deploy models to production. </li></ul>Qualifications <ul><li>Bachelor’s or Master's degree in Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field. </li><li>Proficiency with a deep learning framework such as PyTorch, TensorFlow, or Keras and and/or natural language processing using NLTK, spaCy, Gensim, etc. </li><li>Proficiency in Python and basic libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks for all sorts of data science tasks. </li><li>Expertise in visualizing and manipulating big datasets. </li><li>4+ years of hands-on experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., </li><li>2+ years of experience in building solutions for AI/ML cognitive services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., OCI, AWS, Azure, GCP) </li><li>Experience working with large transformer-based architectures for NLP, CV, ASR, or others. </li><li>Experience working with RAG technologies such as LLM frameworks (Langchain and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, prompting techniques (Chain of Thought, ReACT, etc.), and vector databases (FAISS and Milvus). </li><li>Experience interacting with REST APIs and microservices and familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. </li><li>Strong understanding of machine learning, deep learning, computer vision, natural language processing concepts, and speech recognition concepts. </li><li>Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders. </li><li>Ability to work independently and collaboratively in a fast-paced environment with globally distributed teams. </li><li>Practical knowledge of Agile project management and software development methodologies such as Scrum and SAFe. </li></ul> Qualifications Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range: from $74,800 - $178,200 per year. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: <ul><li> Medical, dental, and vision insurance, including expert medical opinion</li><li> Short term disability and long term disability</li><li> Life insurance and AD&D</li><li> Supplemental life insurance (Employee/Spouse/Child)</li><li> Health care and dependent care Flexible Spending Accounts</li><li> Pre-tax commuter and parking benefits</li><li> 401(k) Savings and Investment Plan with company match</li><li> Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.</li><li> 11 paid holidays</li><li> Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.</li><li> Paid parental leave</li><li> Adoption assistance</li><li> Employee Stock Purchase Plan</li><li> Financial planning and group legal</li><li> Voluntary benefits including auto, homeowner and pet insurance </li></ul>About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <ul><li> Which includes being a United States Affirmative Action Employer</li></ul>

START NEW SEARCH