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Wipro Limited in Dallas is seeking an Engineering Lead in Data Science & Machine Learning (L1) with 7+ years of Python, ETL, and SQL experience. Lead AI and data processing initiatives, design scalable ML solutions, and own CI/CD pipelines targeting Azure environments.
The role requires strong communication skills and deep knowledge of SDLC, Spark, and Databricks. Competitive compensation and comprehensive benefits are offered.
Engineering Lead Data Science & Machine Learning - L1 Job Description Job Title: Engineering Lead Data Science & Machine Learning - L1 City: Dallas State/Province: Texas Posting Start Date: 11/3/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering and operations, we help clients realize their boldest ambitions and build future-ready sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Top 3 skillsets: Python , Databricks, Azure Cloud, spark , Azure ML and good Application development skills. Nice to have skillsets: Java, Spring, Good knowledge of different services in Azure. Excellent communication skills
Collaborate with technical teams to validate configurations, facilitate integration of new applications, and address dependencies during deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks.
Ensure that all technical documents, flowcharts, layouts and diagrams align with project objectives.
Collate and submit project specification, project progress, resource requirements and status reports for the review of Project Manager.
Engage with project managers, client stakeholders, and technical team to gather and refine requirements and define technical expectations.
Work with internal and external stakeholders to gather feedback, align deliverables, evaluate software-hardware interactions, and define specifications to meet performance requirements.
Develop improved testing and programming practices using innovative methods to enhance automation and ensure the delivery of error free codes.
Mandatory Skills: Machine Learning.Experience: 5-8 Years.
The expected compensation for this role ranges from $60,000 to $135,000 . 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.