Gen AI - Sr. Developer Job in Hyderabad at Infosys

Infosys is hiring for the job role of Gen AI - Sr. Developer!

Responsibilities of the Candidate:

• 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.

Requirements:

•  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.