Gen AI/ML Developer

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: ₹800,000.00 - ₹1,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Work Location: In person