AI ML Engineer
AI ML Engineer
Posted on :
06-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
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 handson expertise in Sentiment Analysis Recommendation Engines and AI Solution Architecture while leveraging modern AI/ML frameworks and tools. The role requires proficiency in RAG (RetrievalAugmented Generation) TensorFlow Hugging Face Vector Databases Data Lakes and ETL Pipelines.
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 finetune AI and deep learning models using TensorFlow and Hugging Face for NLP computer vision and other AI applications.
- Work on RAGbased models to enhance AIdriven 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:
- Bachelors or Master s degree in Computer Science AI/ML Data Science or a related field.
- 4 years of handson 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 finetuning.
- Handson experience with RAG (RetrievalAugmented 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 LargeScale AI Training Pipelines.
Why Join Us
- Opportunity to work on cuttingedge AI technologies and realworld applications.
- Collaborative and dynamic work environment.
- Competitive salary benefits and career growth opportunities.
- Flexible work arrangements (Hybrid/Remote options available).
vector databases,hugging face,pytorch,python,rag (retrieval-augmented generation),data lakes,ai solution architecture,computer vision,big data technologies,nlp,feature engineering,mlops,sentiment analysis,speech processing,machine learning algorithms,etl pipelines,predictive analytics,ml,regression models,recommendation systems,model optimization,artificial intelligence,tensorflow,data science,machine learning models
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
