Posted:15 hours ago|
Platform:
On-site
Full Time
Who You Are
You're an ML Research Engineer with 2+ years of experience who bridges the gap between
cutting-edge research and production systems. You're passionate about training models that
perform exceptionally well not just on benchmarks but in real-world applications. You enjoy
diving deep into model architectures, experimenting with training techniques, and building
robust evaluation frameworks that ensure model reliability in critical applications.
Responsibilities
● Train and fine-tune models for speech recognition (ASR) or NLP tasks including intent
classification, Named Entity Recognition (NER), and entity linking to knowledge bases in
multilingual healthcare contexts
● Build data pipelines for dataset collection, annotation, augmentation, and synthetic data
generation to address multilingual and low-resource challenges
● Design and implement comprehensive evaluation frameworks to measure model
performance across precision, recall, F1, and domain-specific benchmarks
● Research and implement state-of-the-art techniques from academic papers to improve
model performance on ASR, NER, intent classification, or entity linking tasks
● Optimize models through fine-tuning techniques (LoRA, QLoRA, full fine-tuning) and
architecture experiments for production deployment
● Collaborate with AI engineers to deploy optimized models into production systems and
ensure reliability in critical healthcare applications
Qualifications
Required
● 2+ years of experience in ML/DL with focus on training and fine-tuning production
models
● Deep expertise in speech recognition systems (ASR) or natural language processing
(NLP), including transformer architectures
● Strong understanding of NER, intent classification, or entity linking systems with
hands-on experience building these components
● Proven experience with model training frameworks (PyTorch, TensorFlow) and
distributed training
● Strong understanding of evaluation metrics and ability to design domain-specific
benchmarks
● Experience with modern speech models (Whisper, Wav2Vec2, Conformer) or NLP
models for NER/intent classification (BERT, RoBERTa, BiLSTM-CRF)
● Experience with LLM fine-tuning techniques (LoRA, QLoRA, full fine-tuning) or
knowledge base integration methods
● Proficiency in handling multilingual datasets and cross-lingual transfer learning
● Track record of improving model performance through data engineering and
augmentation strategies
Nice to Have
● Published research or significant contributions to open-source ML projects
● Experience with entity linking to knowledge bases (Wikipedia, DBpedia, domain-specific
ontologies)
● Experience with model optimization techniques (quantization, distillation, pruning)
● Background in low-resource language modeling or few-shot learning approaches
● Experience building evaluation frameworks for production ML systems
● Understanding of information extraction pipelines and knowledge graph construction
Recro
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
5.0 - 9.0 Lacs P.A.
Experience: Not specified
Salary: Not disclosed
bangalore, chennai, hyderabad, delhi
0.00011 - 0.00015 Lacs P.A.
pune, maharashtra, india
Salary: Not disclosed
bengaluru, karnataka, india
Salary: Not disclosed
Salary: Not disclosed
Salary: Not disclosed
gurugram, haryana, india
Salary: Not disclosed
ahmedabad, gujarat
Salary: Not disclosed
hyderabad
8.0 - 12.0 Lacs P.A.