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.
(ref : hirist.tech)
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Engineer • Pune
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