AI/ML Engineer
AI/ML Engineer
Pune, INDFull-timeExperience: 4+ years
Job Description:
We are looking for a highly skilled AI & ML Engineer with 4+ years of experience in building and deploying AI solutions. The ideal candidate will have hands-on expertise in Sentiment Analysis, Recommendation Engines, and AI Solution Architecture while leveraging modern AI/ML frameworks and tools.
Key Responsibilities:
- Design and develop AI solutions for various business problems, including recommendation systems and sentiment analysis models.
- Architect and implement AI pipelines, integrating Vector DB, Data Lakes, and ETL workflows for scalable data processing.
- Develop, train, and fine-tune AI and deep learning models using TensorFlow and Hugging Face for NLP, computer vision, and other AI applications.
- Work on RAG-based models to enhance AI-driven search and retrieval systems.
- Optimize and deploy ML models in production environments, ensuring efficiency and scalability.
- Develop regression models and predictive analytics solutions for various business applications.
- Collaborate with data engineers and scientists to streamline AI workflows and ensure data quality and integrity.
- Monitor AI/ML models for performance, bias detection, and continuous improvements.
- Stay updated with the latest advancements in AI/ML technologies and integrate best practices into solutions.
Required Skills & Qualifications
- Bachelor's or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
- 4+ years of hands-on experience in developing and deploying AI/ML solutions.
- Strong experience in Sentiment Analysis, Recommendation Systems, and AI Architectures.
- Proficiency in TensorFlow, Hugging Face, and deep learning model fine-tuning.
- Hands-on experience with RAG (Retrieval-Augmented Generation) frameworks.
- Experience working with Vector Databases (FAISS, Pinecone, Milvus, Chroma, etc.).
- Knowledge of Data Lakes, ETL processes, and scalable data pipelines.
- Strong coding skills in Python, PyTorch, and relevant ML libraries.
- Experience with cloud platforms (AWS, Azure, or GCP) and AI deployment tools.
- Solid understanding of MLOps, model monitoring, and CI/CD workflows.
- Familiarity with LangChain and LLMs (Large Language Models) is a plus.
- Expertise in Machine Learning Algorithms, Feature Engineering, and Model Optimization.
- Proficiency in Computer Vision, NLP, and Speech Processing.
- Knowledge of Regression Models and Predictive Analytics.
- Experience in Training and Developing AI Models for various applications.
- Knowledge of Graph Neural Networks, Reinforcement Learning, and Generative AI.
- Experience with Big Data Technologies (Spark, Hadoop, Kafka).
Preferred Qualifications
- Experience with A/B Testing and model evaluation.
- Knowledge of Reinforcement Learning and advanced NLP techniques.
- Experience working with Graph Neural Networks and knowledge graphs.
- Exposure to Generative AI and Large-Scale AI Training Pipelines.
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