Pune, Maharashtra, India
Information Technology
Full-Time
BEO Software Private Limited
Overview
Responsibilities
Roles & Responsibilities
Preferred Technical & Functional Skills
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.
- 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.
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).
- 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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