
Gen AI/ML Developer
6 days ago
Job description:
Generative AI/ML Developer
Experience- 3 to 5 Years
Location- Onsite
JobRole Overview:
Join our AI/ML team to build and deploy generative and traditional ML models—from ideation and data preparation to production pipelines and performance optimization. You'll solve real problems, handle data end-to-end, navigate the AI development lifecycle, and contribute to both model innovation and operational excellence.
Key Responsibilities:
● Full AI/ML Lifecycle: Engage from problem scoping through data collection, modeling, deployment, monitoring, and iteration.
● Generative & ML Models: Build and fine-tune transformer-based LLMs (like GPT, BERT) both commercial as well as local, GANs, diffusion models; also develop traditional ML models for classification, regression, etc. Experience with DL models for Computer vision like CNN, R-CNN, etc is a plus.
● Data Engineering: Clean, label, preprocess, augment, and version datasets. Build ETL pipelines and features for model training. Experience with libraries like pandas, numpy, nltk, etc.
● Model Deployment & MLOps: Containerize models (Docker), deploy APIs/microservices, implement CI/CD for ML, monitor performance and drift .
● Troubleshooting & Optimization: Analyze errors, handle overfitting/underfitting, hallucinations, class imbalance, latency concerns; tune model performance.
● Collaboration: Partner with project managers, DevOps, backend engineers, and senior ML staff to integrate AI features.
● Innovation & Research: Stay current with GenAI (prompt techniques, RAG, LangChain, LLM models), test new architectures, contribute insights.
● Documentation: Maintain reproducible experiments, write clear docs, follow best practices.
Required Skills:
● Bachelor's in CS, AI, Data Science, or related field.
● 2–3 years in ML/AI roles; hands-on with both generative and traditional models.
● Proficient in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn).
● Strong understanding of AI project lifecycle and MLOps principles .
● Experience in data workflows: preprocessing, feature engineering, dataset management.
● Familiarity with Docker, REST APIs, Git, and cloud platforms (AWS/GCP/Azure).
● Sharp analytical and problem-solving skills, with ability to debug and iterate models.
● Excellent communication and teamwork abilities.
Preferred Skills:
● Projects involving ChatGPT, LLaMA, Stable Diffusion or similar models.
● Experience with prompt engineering, RAG pipelines, vector DBs (FAISS, Pinecone, Weaviate) .
● Exposure to CI/CD pipelines and ML metadata/versioning.
● GitHub portfolio or publications in generative AI.
● Awareness of ethics, bias mitigation, privacy, compliance in AI.
Job Type: Full-time
Job Type: Full-time
Pay: ₹800, ₹1,000,000.00 per year
Benefits:
- Health insurance
- Provident Fund
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