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Job Description

Job Description :


Key Responsibilities :


- Design, develop, and deploy machine learning and AI models for predictive analytics, recommendation systems, NLP, computer vision, and other applications.


- Collaborate with data engineers and software developers to integrate AI/ML models into production systems.


- Perform data preprocessing, feature engineering, model training, evaluation, and optimization.


- Monitor model performance, implement retraining pipelines, and ensure model scalability.


- Stay updated with emerging AI/ML technologies, frameworks, and best practices.


- Document methodologies, workflows, and results for internal and external stakeholders.


- Provide technical guidance and mentorship to junior engineers and team members.


Skills & Qualifications :


- 7+ years of hands-on experience in AI/ML engineering.


- Strong programming skills in Python, R, or Java.


- Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Keras.


- Strong understanding of statistical modeling, deep learning, NLP, and computer vision.


- Experience with cloud platforms (AWS, Azure, GCP) and AI/ML services.


- Knowledge of data processing frameworks (Pandas, NumPy, Spark).


- Familiarity with deployment pipelines, CI/CD, and containerization (Docker/Kubernetes).


- Excellent problem-solving, analytical, and communication skills.


Good to Have :


- Experience with generative AI, large language models (LLMs), or recommendation engines.


- Knowledge of real-time AI/ML systems and streaming data applications.

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