Develop, train, and optimize ML/DL models for various business use cases.
Build NLP pipelines for text classification, sentiment analysis, entity recognition, and conversational AI.
Implement and fine-tune Generative AI models (LLMs, diffusion models) for innovative solutions.
Apply core ML algorithms (regression, classification, clustering, recommendation, etc.) to solve problems.
Write efficient code in
Python
for data preprocessing, feature engineering, and model training.
Utilize
C
for performance optimization in computationally heavy components.
Integrate models into production systems through RESTful APIs.
Extract, manipulate, and analyze structured and unstructured data using
SQL
.
Collaborate with cross-functional teams to gather requirements and deliver solutions.
Stay up to date with emerging trends in AI/ML, NLP, and Generative AI.

Required Skills & Qualifications:

Bachelors degree in Computer Science, AI, Data Science, or a related field.
3-5 years of relevant AI/ML experience.
Strong programming skills in
Python
and proficiency in
C
.
Solid knowledge of
ML algorithms
and practical implementation experience.
Proficiency in
SQL
for database querying and data analysis.
Hands-on experience with
NLP
tools/libraries (spaCy, NLTK, Hugging Face Transformers).
Familiarity with
ML/DL frameworks
(TensorFlow, PyTorch, Scikit-learn).
Knowledge of
Generative AI
techniques and models (GPT, LLaMA, Stable Diffusion, etc.).
Experience working with
RESTful APIs
for AI model deployment.
Understanding of software engineering best practices (Git, code optimization, testing).
Role & responsibilities

Preferred candidate profile

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