About this opportunity
Wipro lists this SOLUTION ARCHITECT L2 opportunity in orange, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Location - Orange county, Conniticut ( 3 days WFO)
We have a Sr. AI/ML Architect position. Job requirements are as below. Please share us with any eligible candidates you may have. Proficiency in common ML programming languages, such as Python, and experience with relevant libraries & frameworks like Scikit-learn, TensorFlow, and PyTorch.
Strong working knowledge of cloud-based Machine Learning platforms like AWS SageMaker, Azure ML, etc. Strong understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning, with the ability to build, deploy, and manage models.
Expertise in the design and implementation of machine learning models, including evaluating performance and fine-tuning parameters for optimal results. Knowledge of statistical concepts and methodologies to ensure reliable and accurate model development and validation.
Hands-on experience with technologies available in the marketplace related to Conversation Bots and adoption. Ability to analyze large datasets and apply data preprocessing techniques, feature engineering, and dimensionality reduction.
Familiarity with cloud computing platforms and distributed computing frameworks for scalable and efficient model training and deployment (e.g., AWS, GCP, Azure). Familiarity with GenAI environments like Azure OpenAI, AWS Bedrock, etc., and Large Language Models (LLM).
Experience on langgraph, crewai & langchain is an advanatage.
Experience on implementing graph algorithms for the business problem statement is preferred Strong problem-solving and critical thinking skills, with the ability to identify business challenges and apply appropriate machine learning techniques to address them.
Experience in working with structured and unstructured data, including text and time series data, and the ability to develop custom models for specific data types.
Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Continuous learning mindset and staying up-to-date with the latest advancements in machine learning and engaging with the research community
Experience: >10 YEARS
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The expected compensation for this role ranges from $100,000 to $230,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
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Worksite address
orange, CA, 92613, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.