3 Rekognition Jobs

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: We are looking for a seasoned AWS Data Engineer. Responsibilities Design and implement AI/ML/GenAI models using AWS services such as AWS Bedrock, SageMaker, Comprehend, Rekognition, and others. Strong programming skills in Python, R etc Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Knowledge of data preprocessing, feature engineering, and model evaluation techniques. Develop and deploy generative AI solutions to solve complex business problems and improve operational efficiency. Collaborate with data scientists, engineers, and product teams to understand requirements and translate them into technical solutions. Optimize and fine-tune machine learning models for performance and scalability. Ensure the security, reliability, and scalability of AI/ML solutions by adhering to best practices. Maintain and update existing AI/ML models to ensure they meet evolving business needs. Stay up-to-date with the latest advancements in AI/ML and GenAI technologies and integrate relevant innovations into our solutions. Provide technical guidance and mentorship to junior developers and team members. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Good to have AWS Certified Machine Learning Specialty or other relevant AWS certifications. Mandatory Skill Sets (AWS, Azure, GCP) services such as GCP BigQuery, Dataform AWS Redshift, Python Preferred Skill Sets Devops Years of experience required: 4-8 Years Education Qualification BE/B.Tech/MBA/MCA/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills AWS Devops, Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline + 27 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less

At MAXIMUS, we are growing our Digital Solutions team to better serve our organization and our clients in the government, health, and human services space. We believe that great outcomes define our success. We like to turn bold ideas into delightful solutions. We use methodology grounded in design thinking, lean, and agile to help solve complicated problems in a cost effective, rapid and precise manner. As a part of our India based AI organization, this position is responsible in design, development, implementation, and maintenance of AWS Textract-based solutions. The candidate will have following experience: 4+ years of experience in Python development. Proven experience with Amazon Textract, including hands-on experience in integrating and optimizing Textract-based solutions. Strong knowledge of AWS services, including S3, Lambda, IAM, and DynamoDB. Experience with RESTful APIs and microservices architecture. Familiarity with document processing and OCR technologies. Solid understanding of software development best practices, including version control, testing, and code review processes. Strong problem-solving skills and attention to detail. Experience with other AWS AI/ML services like SageMaker, Rekognition, Comprehend, Bedrock. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Understanding of data privacy and security best practices. Experience with Agile/Scrum methodologies. Excellent communication and collaboration skills. Ideal candidate will demonstrate: Good mix of hands-on experience in above areas. Strong analytical skills and experience working with business stakeholders to analyze business requirements. Ability to quickly pickup new technology and present value proposition. Excellent communication and technical presentation skills. Essential Duties and Responsibilities: Develop and maintain Python-based applications and scripts that utilize Amazon Textract for document data extraction. Integrate Textract with other AWS services such as S3, Lambda, and DynamoDB. Optimize and scale Textract processing workflows to handle large volumes of documents efficiently. Collaborate with data engineers and product managers to refine document processing solutions. Implement error handling and monitoring to ensure the reliability of data extraction processes. Write and maintain comprehensive documentation for the developed solutions. Stay updated on the latest features and best practices related to Amazon Textract and other AWS technologies. Collaborate with business analysts, stakeholders, and other team members to gather requirements, define project scope, and ensure alignment with business objectives. Work closely with QA teams to ensure thorough testing and validation of Appian applications. Ensure production issues are resolved in a timely manner. Work closely with Maximus Onsite Architects, Delivery Leads for solutioning of new projects and creating work estimates. Stay online and frequently collaborate with onsite stakeholders using Maximus MS Teams during 1st half of the day in EST.

Design, develop, and deploy AI/ML-powered applications using AWS services such as SageMaker , Bedrock , Lambda , Comprehend , Rekognition , and Lex . Collaborate with business and technical stakeholders to identify impactful AI use cases and translate them into scalable technical solutions. Build and maintain robust workflows to support AI model training, testing, and deployment. Integrate AI/ML capabilities with existing enterprise systems and applications. Prototype and evaluate AI models using pre-trained services or by developing custom models. Ensure AI applications meet performance, reliability, security, and compliance standards. Stay current with industry trends, tools, and best practices in AI and cloud-native application development. Mentor internal teams and contribute to knowledge-sharing around AI tools, frameworks, and methodologies.