Software Engineer – Python

2 days ago

Cochin, Kerala, India BEO Software Private Limited Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Responsibilities
Roles & Responsibilities

  • Conduct original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies.
  • Build Proof of Concepts (POCs) with emerging AI innovations and assess their feasibility for production.
  • Design and experiment with multimodal generative models (text, images, 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 datasets.
  • Optimize AI algorithms for efficiency, scalability, and computational performance using parallelization, distributed systems, and hardware acceleration.
  • Manage data preprocessing and feature engineering (cleaning, normalization, dimensionality reduction, feature selection).
  • Evaluate and validate models using industry-standard benchmarks; iterate 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 the latest advancements in NLP, DL, and generative AI, fostering a culture of innovation within the team.

Mandatory Technical & Functional Skills

  • Strong expertise in PyTorch or TensorFlow.
  • Proficiency in deep learning architectures: CNN, RNN, LSTM, Transformers, and LLMs (BERT, GPT, etc.).
  • Experience fine-tuning open-source LLMs (Hugging Face, LLaMA 3.1, BLOOM, Mistral AI, etc.).
  • Hands-on knowledge of PEFT techniques (LoRA, QLoRA, etc.).
  • Familiarity with emerging AI frameworks & protocols (MCP, A2A, ACP, etc.).
  • Deployment experience with cloud AI platforms: GCP Vertex AI, Azure AI Foundry, or AWS SageMaker.
  • Proven track record in building POCs for cutting-edge AI use cases.

Desired Candidate Profile

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, etc.).
  • Strong understanding of cloud computing architectures (Azure, AWS, GCP).

Key Behavioral Attributes

  • Strong ownership mindset: able to lead end-to-end project deliverables, not just tasks.
  • Ability to align AI solutions with business objectives and data requirements.
  • Excellent communication and collaboration skills for cross-functional projects.

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