Software Engineer – Python

3 weeks ago

Cochin Kochi Ernakulam, India BEO Software Full time

Job Description Key Responsibilities: - Conduct original research on generative AI models, focusing on architectures, training methods, fine-tuning, and evaluation strategies. - Build Proof of Concepts (POCs) with emerging AI innovations and assess feasibility for production deployment. - Design and experiment with multimodal generative models (text, image, audio, and other modalities). - Develop autonomous, agent-based AI systems (agentic AI) capable of adaptive decision-making. - Lead the design, training, fine-tuning, and deployment of generative AI systems on large-scale datasets. - Optimize AI algorithms for efficiency, scalability, and computational performance using parallelization, distributed systems, and hardware acceleration. - Manage data preprocessing and feature engineering, including cleaning, normalization, dimensionality reduction, and feature selection. - Evaluate and validate models using industry-standard benchmarks, iterating to achieve target KPIs. - Provide technical leadership and mentorship to junior researchers and engineers. - Document research findings, model architectures, and experimental outcomes in technical reports and publications. - Stay updated with latest advancements in NLP, deep learning, and generative AI, fostering innovation within the team. Mandatory Technical & Functional Skills: - Strong expertise in PyTorch or TensorFlow. - Proficiency in deep learning architectures: CNN, RNN, LSTM, Transformers, LLMs (BERT, GPT, etc.). - Experience fine-tuning open-source LLMs (Hugging Face, LLaMA 3, BLOOM, Mistral AI). - Hands-on knowledge of PEFT techniques (LoRA, QLoRA, etc.). - Familiarity with emerging AI frameworks & protocols (MCP, A2A, ACP). - Deployment experience with cloud AI platforms: GCP Vertex AI, Azure AI Foundry, AWS SageMaker. - Proven track record in building POCs for cutting-edge AI use cases. Preferred Technical & Functional Skills: - Experience with LangGraph, CrewAI, or Autogen for agent-based AI. - Large-scale deployment of GenAI/ML projects with MLOps/LLMOps best practices. - Experience handling scalable data pipelines (BigQuery, Synapse). - Strong understanding of cloud computing architectures (Azure, AWS, GCP). Behavioral Attributes: - Strong ownership mindset, capable of leading end-to-end project deliverables. - Ability to align AI solutions with business objectives and data requirements. - Excellent communication and collaboration skills for cross-functional projects.

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