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For Employers

Premium Employer

Infosys

Compare

3.6

based on 40.2k Reviews

1 Infosys Senio Job

Gen AI Sr. Lead

Infosys Technologies ltd

3.6

based on 40.2k Reviews

9-11 years

Bangalore / Bengaluru

1 vacancy

Gen AI Sr. Lead

Infosys

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Software Configuration Management Data Analytics Python Cloud Computing Machine Learning Computer Vision

+ 3 more

Job Description

Technical Leadership: Lead a team of developers in the creation, implementation, and optimization of Generative AI solutions
Provide technical guidance, resolve challenges, and foster a collaborative environment
Prompt Engineering: Spearhead the design and development of prompt engineering strategies to influence and control the output of Generative AI models
Optimize prompts for desired results
Pipeline Design: Design end-to-end data pipelines that encompass data preprocessing, feature engineering, model training, and deployment
Ensure pipelines are efficient, scalable, and well-documented
Technical Review: Review the technical outputs generated by the team, including code, models, and pipelines
Ensure high-quality and maintainable solutions that adhere to best practices
Testing and Validation: Implement testing methodologies to validate the performance and accuracy of Generative AI models
Develop and execute unit tests, integration tests, and validation strategies
Deployment Strategy: Collaborate with DevOps and deployment teams to deploy trained models into production environments
Ensure smooth integration and monitor performance post-deployment
Workflow Optimization: Identify opportunities to optimize development workflows, enhance productivity, and streamline processes
Implement tools and practices to improve efficiency
Collaboration: Interface with cross-functional teams, including data scientists, architects, and business stakeholders
Collaborate on solution design, implementation, and project milestones
Documentation: Maintain comprehensive documentation of technical designs, code, and workflows
Ensure documentation is up-to-date, accessible, and understandable for team members
Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings Computer vision: Convolutional neural networks, recurrent neural networks, object detection Robotics: Reinforcement learning, motion planning, control systems Data ethics: Bias in machine learning, fairness in algorithms LLM Pipeline Creation: Strong experience in designing data pipelines, including data preprocessing, feature extraction, and model integration
Familiarity with best practices for creating efficient and scalable pipelines
Leadership Skills: Proven leadership capabilities to guide and mentor a team of developers
Ability to provide technical direction, solve challenges, and inspire innovation within the team
Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures
Proven experience in applying these techniques to real-world problems for tasks such as image and text generation
Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling
Exposure to both API based and opens source LLMs based solution design
Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management