Assist in designing, developing, and deploying ML/DL models for real-world applications.
Work on NLP-based solutions such as text classification, sentiment analysis, entity extraction, and conversational AI.
Implement and fine-tune Generative AI models for various use cases.
Write clean, efficient Python code for data preprocessing, feature engineering, and model development.
Integrate ML models into production systems via RESTful APIs.
Query, manipulate, and analyze large datasets using SQL.
Collaborate with data scientists, engineers, and product teams to understand requirements and deliver solutions.
Stay updated with the latest advancements in AI/ML, NLP, and GenAI.

Required Skills & Qualifications:

Bachelors degree in Computer Science, Data Science, AI, or related field (Masters is a plus).
13 years of experience in AI/ML projects.
Strong proficiency in
Python
and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Solid understanding of
SQL
for data extraction and manipulation.
Hands-on experience with
NLP techniques
and libraries (NLTK, spaCy, Hugging Face Transformers).
Knowledge of
Generative AI
models (e.g., GPT, LLaMA, Stable Diffusion) and prompt engineering.
Experience with
RESTful API
development and integration.
Familiarity with MLOps concepts and version control (Git).
Good problem-solving skills and the ability to work in a fast-paced environment.
Role & responsibilities

Preferred candidate profile

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