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Blue Cloud Softech - AI Developer - Deep Learning Job Opening In Bengaluru – Now Hiring Blue Cloud Softech Solutions Limited


Job description

<p><p><b>About the job :</b></p><p><br/><b>About the Role :</b></p><p><br/></p><p>Were seeking an AI Developer with strong expertise in deep learning (CNNs, RNNs, Transformers) and hands-on experience in computer vision and sequence modeling.

You will drive the development of AI systems that integrate perception (vision models), reasoning (LLMs), and action (multi-agent orchestration).

This role requires both research depth and production engineering rigor, with end-to-end ownership of training, scaling, deployment, and monitoring of AI systems.<br/><br/><b>Key Responsibilities Learning (Primary Focus) : </b></p><p><br/></p><p>- Architect and train CNN/ViT models for classification, detection, segmentation, and OCR.</p><p><br/></p>- Build and optimize RNN/LSTM/GRU models for sequence learning, speech, or timeseries forecasting.<br/><br/></p><p>- Research and implement transformer-based architectures bridging vision and language tasks.<br/><br/></p><p>- Create scalable pipelines for data ingestion, annotation, augmentation, and synthetic data generation.<br/><br/><p><b>Agentic AI & Multi-Agent Frameworks :</b></p><p><br/></p><p>- Design and implement multi-agent workflows using LangChain, LangGraph, CrewAI, or similar </p><p>frameworks.</p><p><br/></p>- Develop role hierarchies, state graphs, and integrations that enable autonomous vision + </p><p>language workflows.<br/><br/></p><p>- Optimize agent systems for latency, cost, and reliability.<br/><br/><p><b>LLM Fine-Tuning & Retrieval-Augmented Generation (RAG) :</b></p><p><br/></p><p>- Fine-tune open-weight LLMs using LoRA/QLoRA, PEFT, or RLHF methods.</p><p><br/></p>- Develop RAG pipelines integrating vector databases (FAISS, Weaviate, pgvector).<br/><br/></p><p>- Combine LLM reasoning with CNN/RNN perception modules in multimodal systems.<br/><br/><p><b>MLOps & Deployment at Scale :</b></p><p><br/></p><p>- Develop reproducible training workflows with PyTorch/TensorFlow and experiment tracking </p><p>(W&B, MLflow).</p><p><br/></p>- Deploy models with TorchServe, Triton, or KServe on cloud AI stacks (AWS Sagemaker, GCP </p><p>Vertex, Kubernetes).<br/><br/></p><p>- Optimize inference with ONNX/TensorRT, quantization, and pruning for cloud and edge devices.<br/><br/></p><p>- Build robust APIs/micro-services (FastAPI, gRPC) and ensure CI/CD, monitoring and </p><p>automated retraining.<br/><br/><p><b>Collaboration & Mentorship :</b></p><p><br/></p><p>- Translate business needs into scalable deep learning solutions.</p><p><br/></p>- Mentor junior engineers in CNNs, RNNs, and production ML practices.<br/><br/></p><p>- Lead technical reviews and promote best practices across the team.<br/><br/><b>Minimum Qualifications :</b></p><p><br/></p><p>- B.S./M.S. in Computer Science, or related discipline.<br/><br/></p><p>- 5+ years building deep learning systems with CNNs and RNNs in production.<br/><br/></p><p>- Strong Python skills and Git workflows.<br/><br/></p><p>- Proven delivery of computer vision pipelines (OCR, classification, detection).<br/><br/></p><p>- Hands-on experience with LLM fine-tuning and multimodal AI.<br/><br/></p><p>- Experience in containerization (Docker) and deployment on cloud AI platforms.<br/><br/></p><p>- Knowledge of distributed training, GPU acceleration, and inference optimization.<br/><br/><b>Preferred Qualifications :</b></p><p><br/></p><p>- Research experience in transformer architectures (ViTs, hybrid CNN-RNN Transformer </p><p>models).</p><p><br/></p><p>- Prior work in sequence modeling for speech or time-series data.<br/><br/></p><p>- Contributions to open-source deep learning frameworks or vision/sequence datasets.<br/><br/></p><p>- Experience with edge AI deployment<br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Blue Cloud Softech AI Developer Deep Learning typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Blue Cloud Softech Solutions Limited interview tips for Blue Cloud Softech   AI Developer   Deep Learning

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Before the Interview:

Research: Learn about the Blue Cloud Softech Solutions Limited's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Final Thought:

To prepare for your Blue Cloud Softech AI Developer Deep Learning interview at Blue Cloud Softech Solutions Limited, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Blue Cloud Softech Solutions Limited's products or services and be prepared to discuss how you can contribute to their success.

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