Job Description

Location : Kochi


Employment Type : Full Time


Work Mode : Hybrid


Experience : 3-6 yrs


Job Code : BEO-5640


Posted Date : 28/08/2025




Responsibilities

Roles & Responsibilities

1. Conduct original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies.

2. Build Proof of Concepts (POCs) with emerging AI innovations and assess their feasibility for production.

3. Design and experiment with multimodal generative models (text, images, audio, and other modalities).

4. Develop autonomous, agent-based AI systems (agentic AI) capable of adaptive decision-making.

5. Lead the design, training, fine-tuning, and deployment of generative AI systems on large datasets.

6. Optimize AI algorithms for efficiency, scalability, and computational performance using parallelization, distributed systems, and hardware acceleration.

7. Manage data preprocessing and feature engineering (cleaning, normalization, dimensionality reduction, feature selection).

8. Evaluate and validate models using industry-standard benchmarks; iterate to achieve target KPIs.

9. Provide technical leadership and mentorship to junior researchers and engineers.

10. Document research findings, model architectures, and experimental outcomes in technical reports and publications.

11. 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.