Surat, Gujarat, India
Information Technology
Full-Time
Avenir Digital Inc
Overview
Job Title : Gen AI / ML Data Scientist
Location : Gurugram / Chennai (Hybrid or Onsite)
Experience : 46 years
Employment Type : Full-time
Job Summary
We are looking for an experienced Data Scientist with strong expertise in Generative AI and Machine Learning to join our team. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI/ML models for various real-world use cases, especially in GenAI (LLMs, Transformers, Diffusion Models, Responsibilities :
Location : Gurugram / Chennai (Hybrid or Onsite)
Experience : 46 years
Employment Type : Full-time
Job Summary
We are looking for an experienced Data Scientist with strong expertise in Generative AI and Machine Learning to join our team. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI/ML models for various real-world use cases, especially in GenAI (LLMs, Transformers, Diffusion Models, Responsibilities :
- Design and develop ML/AI models including but not limited to supervised, unsupervised, NLP, and Gen AI techniques.
- Build and fine-tune LLM-based solutions (e.g., GPT, BERT, LLaMA) for enterprise applications like chatbots, summarization, information extraction, etc.
- Conduct data preprocessing, feature engineering, and model evaluation using appropriate ML/AI techniques.
- Collaborate with data engineers, MLOps, and product teams to deploy models in production.
- Conduct research and stay up to date on emerging trends in Gen AI and ML.
- Work on Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
- Present findings and insights to business stakeholders and non-technical Skills & Experience :
- 5 years of experience in Data Science, ML, and AI.
- Strong experience with Generative AI frameworks (OpenAI, Hugging Face Transformers, LangChain, LlamaIndex, etc.).
- Proficiency in Python, with experience in libraries like Scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc.
- Experience working with LLMs, vector databases (e.g., FAISS, Pinecone), and large datasets.
- Familiarity with cloud platforms like AWS, GCP, or Azure for AI/ML model deployment.
- Good understanding of MLOps pipelines, CI/CD for ML, and model monitoring.
- Strong problem-solving and communication to Have :
- Knowledge of diffusion models, image/video generation, or multimodal models.
- Experience with data visualization tools (e.g., Tableau, Power BI, Plotly).
- Domain knowledge in BFSI, healthcare, or retail is a Qualification :
- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field.
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