
AI/ML Engineer
2 days ago
Location:
Bengaluru, India
Experience:
3+ years
Joining:
Immediate
Role Objective
We are seeking an
AI/ML Engineer (Core Algorithm & Model Expert)
to design, develop, and optimize advanced AI/ML models in
Computer Vision, Generative AI, Audio Processing, Predictive Analytics, and NLP
. The role involves building production-ready AI solutions, fine-tuning LLMs, and ensuring model deployment in resource-constrained naval and defense environments.
Key Responsibilities
- Design, train, and deploy ML/DL models using
naval/domain-specific datasets
. - Fine-tune and optimize
open-source LLMs (e.g., LLaMA, Mistral, Whisper, Wav2Vec, Conformer, GPT, BERT)
for mission-specific applications. - Preprocess, annotate, and augment datasets for robust model training.
- Implement
model compression, pruning, quantization
for optimized inference. - Build
translation systems, speech-to-text, multilingual NLP
pipelines. - Develop reproducible ML pipelines with
MLFlow/DVC/Weights & Biases
. - Collaborate with backend engineers for integration (ONNX, TorchScript).
- Generate
reusable inference modules
deployable on cloud, edge, and microservices. - Apply
RLHF, LoRA, QLoRA, Instruction Tuning, SFT
for LLM fine-tuning. - Ensure
security, adversarial robustness, and data sanitization
in model development.
Required Skills & Tools
- Programming:
Python (expert), C++/Rust (preferred). - Frameworks:
PyTorch, TensorFlow, Hugging Face Transformers, OpenCV. - ML Concepts:
Transformers, GANs, VAEs, Diffusion Models, RAG, Explainable AI (SHAP, LIME). - Optimization Tools:
ONNX Runtime, TensorRT, TorchScript. - MLOps:
Git, MLFlow, DVC, Weights & Biases, containerization (Docker, Kubernetes). - Deployment:
Experience deploying on
GPU/edge servers
in real-time environments.
Educational Qualifications
- B.Tech / M.Tech
in Computer Science, AI/ML, Data Science, or related field. - Strong academic record (
≥75% marks or 8.0 CGPA
). - Certifications in
Deep Learning, NLP, Computer Vision, TensorFlow/PyTorch, or Cloud ML (AWS/GCP/Azure/NVIDIA)
are highly desirable.
Experience Requirements
- 3+ years
of hands-on AI/ML model development and deployment. - Experience in at least
two major AI domains (e.g., NLP + CV, Speech + Generative AI, etc.)
. - Proven record of
production-scale model deployment
and optimization. - Contributions to
open-source AI frameworks
a strong plus. - Prior experience in
defense, critical systems, or real-time AI applications
is desirable.
Why Join Us?
- Work on
cutting-edge AI/ML applications for mission-critical systems
. - Exposure to
defense-grade AI solutions
in multilingual, multimodal environments. - Collaborative team with opportunities for
innovation, patents, and research contributions
. - Competitive compensation and fast-track growth for high performers.
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