Software Developer in Wipro

About Company :

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 nearly 245,000 employees and business partners across 65 countries, we deliver on the promise of helping our clients, colleagues, and communities thrive in an ever-changing world.

Job Description :

To join our seasoned development team, we are seeking a talented developer. You will be in charge of creating, coding, testing, altering, and deploying new or pre-existing software products in this position. Communicating with the development managers, writing scalable, clean code, developing testing procedures, resolving bugs, and deploying programs are all part of your responsibilities.

You should have a thorough understanding of programming languages, strong problem-solving abilities, and the capacity to work under pressure if you want to succeed as a developer. The development team collaborates with a top-tier developer to produce sophisticated programs that precisely match the needs of the business.

Key Responsibilities:

• Identify relevant data sources, collect and clean large structured and unstructured data, and integrate variables into model-building processes. You will also improve model algorithms by conducting error analysis and optimizing performance.
• Communicate key insights from analyses, experiments, and data products to stakeholders, ensuring data-driven decision-making across the organization.

Qualifications:

• Bachelor’s degree in mathematics, statistics, engineering, or analytics related fields. A graduate degree is preferred but not required.
• Solid understanding and practical experience in machine learning techniques, including supervised and unsupervised learning. Proficiency in implementing various algorithms to solve business problems.
• Expertise in statistical models such as regressions, time series analysis, and other predictive modeling techniques to analyze and interpret complex data sets.
• Proficient in programming languages such as Python, PySpark, and SQL, with hands-on experience in writing efficient, reusable code for data analysis and machine learning projects.
• Experience with big data technologies like Hadoop, including the ability to manage and process large datasets in distributed environments.
• Ability to work effectively under the guidance of senior data scientists, contributing to model development and problem-solving while learning and refining new skills.
• Strong communication skills, with the ability to clearly present complex findings and insights to team members, both technical and non-technical, ensuring alignment and understanding of project objectives and outcomes.
• Collaborative mindset, with a willingness to work in a team-oriented environment