Developer – L4 Job at Wipro PAN India | Data Scientist with Python, GenAI & AWS Cloud Expertise
Developer – L4 (Data Scientist – GenAI, Python, AWS Cloud) | Wipro PAN India Hiring
Requisition ID: 38078
Job Title: Developer – L4 (Data Scientist – GenAI, Python, AWS Cloud)
Location: PAN India (Remote/Onsite Flexibility)
Shift Timing: 12 PM to 10 PM IST
Experience Required: 6+ Years
Notice Period: Immediate to 30 Days
Position Type: Full-time
Company: Wipro Limited
About Wipro
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global technology powerhouse delivering transformative IT, consulting, and business process services. With a workforce of over 230,000 employees across 65+ countries, Wipro empowers businesses with scalable digital solutions, industry-leading AI capabilities, and deep engineering expertise.
At the forefront of innovation, Wipro is building the enterprises of the future by delivering end-to-end technology services across cloud, AI/ML, cybersecurity, engineering, and more. As a purpose-driven organization, Wipro is committed to sustainable innovation, inclusion, and responsible tech development.
Role Overview: Developer – L4 (Data Scientist with GenAI, Python, AWS Cloud)
Wipro is looking for a highly skilled Data Scientist with proven expertise in GenAI, Python programming, and AWS Cloud deployment. This role demands a professional with a strong foundation in Natural Language Processing (NLP), Large Language Models (LLMs), and machine learning pipeline architecture.
As a Developer – L4, you will architect and implement full-fledged AI systems that are scalable, secure, and aligned with responsible AI practices. You will lead the design and development of AI-driven solutions while mentoring junior data scientists and collaborating closely with engineering and leadership teams.
This role is open for candidates across PAN India, offering a flexible and collaborative work environment.
Core Responsibilities
1. AI/ML Architecture and Solution Implementation
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Design and develop state-of-the-art AI solutions using GenAI and LLM-based technologies.
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Implement machine learning workflows using LangChain, HuggingFace, or OpenAI APIs, incorporating architectural best practices.
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Leverage frameworks to fine-tune LLMs to specific use cases and develop customized NLP pipelines.
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Innovate beyond traditional RAG (Retrieval Augmented Generation) approaches to improve contextual relevance, coherence, and real-time adaptability.
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Create scalable AI architectures that integrate with large enterprise systems for real-world inference and decision support.
2. End-to-End AI System Development
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Develop end-to-end AI pipelines using Python and AWS services to support model training, validation, deployment, and monitoring.
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Incorporate Responsible AI principles, ensuring fairness, explainability, and compliance in AI workflows.
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Collaborate with multi-disciplinary teams to deliver models that are ethical, interpretable, and production-grade.
3. Data Engineering & Integration
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Build and manage data pipelines using SQL and Python to extract, transform, and load (ETL) datasets from sources like Snowflake and relational databases.
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Preprocess unstructured and structured datasets for training, validation, and prediction tasks.
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Apply NLP techniques to process text-based data sources, enabling intelligent data utilization across use cases.
4. GenAI, NLP & Model Optimization
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Utilize GenAI platforms and NLP toolkits to extract semantic patterns from complex data sources.
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Integrate LLMs and NLP frameworks into applications for chatbots, recommendation systems, summarization, sentiment analysis, etc.
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Fine-tune pre-trained models on domain-specific datasets to increase model precision and adaptability.
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Continuously monitor and retrain models based on feedback loops and performance metrics.
5. Cloud Deployment and Infrastructure (AWS)
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Deploy models and AI services on AWS cloud infrastructure, ensuring scalability, performance, and cost-effectiveness.
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Implement containerized deployments using Docker/Kubernetes and leverage AWS services like S3, Lambda, SageMaker, Glue, and EC2 for distributed computing.
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Ensure CI/CD pipelines are in place for continuous integration, testing, and deployment of ML models.
6. Leadership and Collaboration
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Lead the data science team in project delivery, ensuring high-quality coding, documentation, and adherence to best practices.
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Guide stakeholders on AI/ML strategy, model selection, architectural design, and performance benchmarking.
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Report progress to business leadership regularly, outlining milestones, risks, and improvement areas.
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Provide technical mentorship to junior developers and data scientists, building a strong internal knowledge base.
Skills & Competencies
Mandatory Skills:
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Python (Advanced)
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GenAI tools and frameworks (OpenAI, LangChain, HuggingFace)
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AWS Cloud Services (SageMaker, Lambda, S3, Glue, EC2)
Preferred Skills:
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Natural Language Processing (NLP)
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Artificial Intelligence / Machine Learning (AI/ML)
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Large Language Models (LLM) like GPT, BERT, or T5
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Snowflake and SQL for data engineering
Ideal Candidate Profile
Education:
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Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or related fields.
Experience:
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Minimum 6 years of experience in Data Science or Machine Learning roles.
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At least 2+ years working directly with GenAI or LLM architectures.
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Prior experience in deploying AI solutions in production environments using cloud platforms (especially AWS).
Soft Skills:
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Excellent communication and documentation skills to translate AI/ML outputs into business insights.
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Strong analytical thinking, attention to detail, and the ability to work independently.
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Collaborative mindset to work with product managers, engineers, and executives.
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Passion for learning emerging technologies and contributing to community initiatives around Responsible AI.
Work Environment & Shift Details
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Shift Timing: 12 PM – 10 PM IST (Afternoon to late evening shift)
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Work Location: PAN India (Remote & Hybrid Flexibility)
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Team Collaboration: Daily stand-ups, sprint planning, and sync-ups using Agile methodology
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Reporting: Regular updates to stakeholders and leadership teams
Career Growth Opportunities
As a Developer – L4 in Wipro’s Data Science & AI team, you’ll be positioned for:
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Vertical mobility into roles like AI Solution Architect, AI Practice Lead, or Product Owner.
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Participation in AI innovation labs, patent projects, and proof-of-concept (PoC) initiatives.
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Advanced certifications and training in cloud AI, ethical AI, and emerging LLM frameworks.
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Exposure to global clients, cross-industry data use cases, and enterprise-scale projects.
Why Join Wipro?
1. Innovation at Scale
Wipro is a pioneer in building scalable AI-powered solutions that serve industries like healthcare, banking, retail, and logistics. You’ll work with world-class tools and be part of industry-defining transformation stories.
2. Continuous Learning Culture
Access certification programs, technical bootcamps, AI labs, and sponsored courses to upskill yourself across technologies, domains, and leadership.
3. Inclusive Workplace
Wipro champions a diverse and inclusive workplace. We actively support gender equity, LGBTQ+ inclusion, and persons with disabilities.
4. Purpose-Driven Leadership
Wipro’s culture promotes sustainability, ethics, and tech-for-good. You’ll contribute to solutions that don’t just work but make the world a better place.
Equal Opportunity Commitment
Wipro is proud to be an Equal Opportunity Employer. We are committed to diversity and inclusion and encourage applications from candidates of all backgrounds, including individuals with disabilities. Applications from people with disabilities are explicitly welcome.
Application Process
✅ Requisition ID: 38078
✅ Position: Developer – L4 (GenAI, Python, AWS Cloud)
✅ Location: PAN India
✅ Experience: 6+ Years
✅ Notice Period: Immediate to 30 Days
📝 Required Documents:
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Updated Resume (with project details)
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Certifications (AWS, AI/ML, NLP – optional but preferred)
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Government-issued ID Proof
📩 Application Method:
Visit the Wipro Careers Portal and search using Requisition ID: 38078 or apply via trusted job platforms. Selected candidates will be contacted for a multi-stage interview process, including technical assessments and leadership rounds.
Final Thoughts
The Developer – L4 (Data Scientist) role at Wipro is a dynamic opportunity for AI professionals to build transformative products using GenAI, LLMs, and cloud-native solutions. You will operate at the intersection of cutting-edge technology, business strategy, and ethical innovation.
If you’re ready to shape the future of AI with one of the world’s most forward-thinking tech companies, apply now and take your career to the next level at Wipro.