Posted:3 weeks ago|
Platform:
On-site
Full Time
Classical AI/ML
· Design and implement supervised and unsupervised ML models including:
· Linear Regression, Logistic Regression
· Decision Trees, Random Forest, XGBoost
· Naive Bayes, K-Means, SVM, PCA, etc.
· Preprocess and analyze structured/tabular datasets
· Evaluate models using metrics like accuracy, precision, recall, ROC-AUC, and RMSE
· Build predictive models, deploy them into production, and monitor performance
· Collaborate with business teams to translate requirements into ML use cases
Generative AI (GenAI)
· Build and fine-tune LLMs (e.g., GPT, LLaMA, PaLM) for summarisation, Q&A, document generation, etc.
· Implement prompt engineering, RAG pipelines, and vector database integrations
· Use libraries like Hugging Face Transformers, LangChain, and LlamaIndex
· Develop APIs to expose GenAI models in real-time apps
· Optimise model inference using quantisation, batching, etc.
· Ensure safe, explainable, and bias-free output in alignment with AI ethics guidelines
Required Skills & Qualifications
· 3.5 Yrs Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field
· Strong programming skills in Python, with experience in NumPy, Pandas, Scikit-learn
· Proficiency in classical ML algorithms (regression, trees, naive Bayes, etc.)
· Experience with LLM frameworks like OpenAI API, Hugging Face, and LangChain
· Understanding of transformer architecture, NLP, embeddings, and tokenisation
· Familiarity with REST API development using FastAPI/Flask
· Exposure to cloud platforms (AWS/GCP/Azure) and Docker/Kubernetes
Job Type: Full-time
Pay: ₹500,000.00 - ₹900,000.00 per year
Work Location: In person
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Experience: Not specified
5.0 - 9.0 Lacs P.A.
Experience: Not specified
5.0 - 9.0 Lacs P.A.
