- Role: GenAI Python Lead
- Location: Bengaluru, Karnataka
- Company: Infosys
- Salary: Not Disclosed
- Qualifications: Any Graduate or Postgraduate
- Experience: 5-9 Years
- Employment Type: Full Time, Permanent
Job Description:
The GenAI Python Lead at Infosys may be responsible for the design, development, and implementation of Generative AI (GenAI) projects and the use of Python. The position requires extensive revel in Python and related frameworks, as well as a deep knowledge of system getting to know and AI technologies. The function involves taking part with move-practical teams to make sure the shipping of excessive-overall performance, and the best answers that meet mission desires.
Company Overview:
Infosys is a global leader in subsequent-generation digital services and consulting. With over 3 many years of experience in dealing with the structures and workings of global companies, the enterprise steers its customers through its virtual transformation adventure. Infosys does this by permitting the agency with an AI-powered core, assisting in prioritizing the execution of trade. The enterprise also empowers the commercial enterprise with agile virtual at scale to supply exceptional degrees of performance and patron pride.
GenAI Python Lead Key Responsibilities:
- Langchain: For building and connecting language models.
- Flask: A lightweight web framework for deploying machine-gaining knowledge of fashions.
- Streamlit/Chainlit/Gradio: Tools for developing user interfaces for machine getting-to-know programs.
- Mastery of those tools is vital to make sure high-appearing and responsive programs supply results.
- Performance, Quality, and Responsiveness: The role emphasizes making sure the performance, satisfaction, and responsiveness of GenAI packages. You will want to pick out accurate bottlenecks, optimize code, and cope with insects, aiming for high availability and reliability.
- Feature Collaboration and Development: As part of a collaborative crew, you may be working with developers, device-gaining knowledge of experts, and product managers to define, lay out, and put in force new features for AI applications. The collaboration will amplify across a couple of groups, focusing on turning in seamless AI-pushed answers.
- Code Quality and Automatization: An important part of this position is helping preserve code high-quality and making sure automation is embedded throughout the improvement lifecycle. Clean, modular, and maintainable code is prime to ensuring the scalability and futureproofing of packages.
- Evaluation of GenAI Solutions: You might be accountable for the evaluation of GenAI solutions and the usage of applicable metrics. These metrics encompass:
- Relevancy: Ensuring the AI-generated content or solutions are contextually suitable and beneficial.
- Correctness: Ensuring that the AI outputs are factually correct and aligned with the necessities.
Required Skills and Qualifications:
- Writing green, reusable, and modular Python code.
- Working with Python libraries and frameworks, particularly the ones tailored for gadgets gaining knowledge of GenAI answers.
Expertise in Python Frameworks: You must have an understanding of as a minimum one famous Python framework consisting of:
- Django: An excessive-degree framework recognized for building steady and scalable net applications.
- Flask: A lightweight framework regularly used for smaller programs or microservices.
- Object-Relational Mapping (ORM): Knowledge of item-relational mapping (ORM) is needed. ORM enables builders to engage with databases with the usage of Python gadgets rather than writing raw SQL queries. Familiarity with ORMs like SQLAlchemy or Django ORM could be beneficial.
- Familiarity with Front-quit Technologies: Understanding of front-quit technology like JavaScript or Angular is preferred. This enables taking part in front-give-up groups, ensuring that the returned-quit AI solutions combine easily into person-facing structures.
- Accessibility and Security Compliance: The role calls for deep expertise in accessibility requirements to make certain that packages are usable for all audiences, such as those with disabilities. Additionally, familiarity with protection high-quality practices is important for shielding touchy data, especially whilst working with AI-driven answers that deal with private or commercial enterprise-vital information.
Primary Skills:
- Python & Generative AI (GenAI): You have to have deep information in Python and be knowledgeable about the present-day developments and trends in generative AI.
- Machine Learning: The position requires expertise in systems getting to know techniques and models that form the foundation of generative AI systems.
Additional Technologies:
- Langchain: For building chains of language models.
- Streamlit, Chainlit, Gradio: For developing interfaces for AI applications.
Employment Benefits at Infosys:
1. Competitive Salaries:
Employees are supplied with appealing and marketplace-aligned salaries.
2. Performance Incentives:
Rewards and bonuses are based totally on man or woman and team performance.
3. Career Growth Opportunities:
- Continuous gaining knowledge of and development applications to enhance competencies.
- Clear paths for promotions and position development within the employer.
4. Health Insurance:
Comprehensive health insurance, along with medical, dental, and imaginative and prescient plans.
5. Retirement Plans:
Provident fund and pension schemes to ensure lengthy-time period monetary protection.
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