Computer Vision / Data Analytics / AI/ML

Wipro Technologies is seeking a skilled Data Analytics professional specializing in AI/ML with a focus on Computer Vision modeling. This role demands robust technical expertise in Python programming along with hands-on experience in data analytics frameworks such as Pandas and NumPy. The candidate should demonstrate a deep understanding of computer vision algorithms and AI/ML development using prevalent frameworks like TensorFlow and PyTorch

Key Deliverables:

• Timely resolution of critical challenges in data analytics, particularly for high-impact projects like CrowdPulse RSA tasks.
• Successful completion of new store setup tasks ensuring flawless rollouts and operational excellence.
• Comprehensive ownership of project review meetings including documentation, presentation, and strategy discussions.
• Swift detection and rectification of analytical outliers, maintaining data quality and system reliability.
• Effective communication of innovative ideas for enhancing analytics tools and methodologies.
• Consistent dedication to project deadlines and quality, supporting the team through critical delivery phases.
• Recognition for exceptional achievement in key task completions contributing to the overall success of analytics initiatives.

͏Responsibilities

• Implement data analytics techniques using Python, employing libraries such as pandas, NumPy, and scikit-learn to enable efficient and scalable data processing workflows.
• Create and interpret visually compelling graphs and visual data representations to effectively communicate analytical findings to both technical and non-technical stakeholders.
• Apply Site Reliability Engineering (SRE) principles to ensure the scalability, reliability, and performance of AI/ML infrastructure supporting computer vision models.
• Participate in troubleshooting and resolving high-priority critical issues in analytics environments, such as those encountered in CrowdPulse analytics, ensuring data accuracy and system stability.
• Manage time-sensitive tasks such as new store configurations and rollouts with precision, providing on-demand support and maintaining quality under demanding schedules including off-hours.
• Lead biweekly review meetings for analytics projects, generating clear documentation, sharing progress updates, and fostering continuous improvement through collaborative feedback.
• Identify and respond promptly to analytical anomalies, providing innovative solutions and recommendations to enhance model and system performance.
• Proactively suggest and implement upgrades and enhancements to analytical implementations, driving innovation and efficiency within the team.
• Volunteer and effectively manage additional responsibilities during critical project phases, demonstrating adaptability and commitment.
• Earn recognition for high performance and dedication, as exemplified by awards such as inclusion on the 'Wall of Fame' for outstanding contributions.

͏Detailed Job Description

• Develop, implement, and optimize computer vision algorithms that leverage machine learning models for diverse applications, ensuring robustness and scalability.
• Apply advanced Python programming techniques including design patterns such as singleton classes, and make effective use of data analytics libraries (Pandas, NumPy) for efficient data manipulation and processing.
• Collaborate closely with cross-functional teams including data scientists, software engineers, and product managers to integrate AI/ML features seamlessly within applications and platforms.
• Continuously analyze and refine machine learning models to enhance accuracy, performance, and reliability.
• Demonstrate strong command over machine learning theories and their practical implementations, complemented by a solid grasp of copy mechanisms in programming (deep vs shallow copy) to ensure robust data handling.
• Utilize statistical tools and visualization packages such as Matplotlib and Seaborn to interpret data effectively, communicate insights through clear and compelling charts or graphs.
• Maintain a proactive, solution-oriented mindset and excellent communication skills to foster a collaborative and innovative work environment.
• This role will empower you to work on challenging problems in computer vision and machine learning, contribute to cutting-edge AI solutions, and grow your expertise in a large-scale industrial setting at Wipro Technologies.