
AI/ML Developer
10 hours ago
Position Overview
We are looking for a Data Scientist with 1 year of hands-on experience and strong
foundational knowledge in Machine Learning (ML), Deep Learning (DL), Natural Language
Processing (NLP), Generative AI, Transformers, Retrieval-Augmented Generation (RAG),
and Large Language Models (LLMs). The ideal candidate will contribute to building intelligent
systems, experimenting with state-of-the-art AI techniques, and deploying models that solve
real-world problems.
Key Responsibilities
● Apply machine learning and deep learning techniques to solve classification,
regression, recommendation, and prediction problems.
● Work with NLP tasks such as text classification, sentiment analysis, named entity
recognition, and keyphrase extraction.
● Fine-tune and experiment with transformer-based architectures (BERT, GPT, LLaMA,
etc.) for custom use cases.
● Contribute to the design and implementation of RAG pipelines integrating LLMs with
external knowledge bases.
● Assist in developing Gen-AI powered applications (e.g., chatbots, summarizers,
document assistants).
● Build, test, and evaluate models using real-world datasets, ensuring accuracy, scalability,
and robustness.
● Write efficient, production-ready code in Python and leverage frameworks such as
PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or similar.
● Collaborate with product, engineering, and business teams to translate research into
deployable solutions.
● Document research findings, experiments, and implementation details for reproducibility.
Required Qualifications
● Bachelor's degree in Computer Science, Data Science, AI/ML, or related field.
● 1 year of hands-on experience in applied ML/DL projects or internships.
● Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn,
TensorFlow, or PyTorch.
● Exposure to transformer models (BERT, GPT, T5, LLaMA, etc.).
● Familiarity with NLP techniques (tokenization, embeddings, vector search, semantic
similarity).
● Understanding of Generative AI concepts and working knowledge of LLMs.
● Experience or exposure to RAG frameworks (LangChain, LlamaIndex, Haystack, etc.).
● Strong SQL skills and ability to work with structured/unstructured datasets.
● Solid analytical, problem-solving, and communication skills.
Preferred Qualifications
● Exposure to cloud platforms (AWS, Azure, GCP) and GPU-based training.
● Knowledge of vector databases (Pinecone, Weaviate, FAISS, Milvus).
● Experience with chatbot development or conversational AI systems.
● Contribution to open-source projects or research publications in AI.
What We Offer
● Opportunity to work with cutting-edge AI/Gen-AI technologies.
● Continuous learning through hands-on projects, mentorship, and R&D initiatives.
● Collaborative and innovative environment with career growth in AI/ML engineering &
research.
● Exposure to real-world applications in NLP, Generative AI, and advanced data
science
Job Types: Full-time, Permanent
Pay: ₹600, ₹800,000.00 per year
Benefits:
- Health insurance
- Provident Fund
Work Location: In person
Speak with the employer
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