Ai/ml engineer

2 weeks ago

Hyderabad, India ValueLabs Full time

**Job Title:** Senior AI/ML Engineer **Job Type:** Full-Time **Experience Level:** 3-9 Years **Job Overview:** We are seeking a highly skilled AI/ML Engineer to join our dynamic team. The ideal candidate will have strong proficiency in Python, extensive experience with AWS services, and a solid understanding of MLOps principles. This role involves developing, deploying, and maintaining advanced machine learning models that drive business growth and innovation. **Responsibilities:**1. **Model Development & Deployment:**- Develop cutting-edge AI/ML models using Python libraries such as Tensor Flow, Py Torch, Scikit-Learn, etc. - Design and implement scalable ML pipelines using AWS services including Sage Maker, Lambda, EC2, and RDS. - Continuously improve model performance through iterative experimentation and hyperparameter tuning. 2. **Data Engineering:**- Work closely with data scientists and engineers to ingest, preprocess, and store large datasets efficiently. - Implement robust data pipelines using AWS Glue, EMR, and Kinesis for real-time data processing. - Ensure data quality and manage metadata effectively using tools like AWS Data Catalog and Glue Data Brew. 3. **MLOps Practices:**- Automate model deployment processes using CI/CD tools like AWS Code Pipeline and AWS Code Build. - Implement monitoring and logging mechanisms to track model performance and detect anomalies. - Conduct A/B testing and experiment management to optimize model outcomes. - Ensure compliance with regulatory standards and best practices in MLOps. 4. **Collaboration & Communication:**- Collaborate with cross-functional teams including product managers, data scientists, and business stakeholders to understand project requirements. - Communicate technical findings and recommendations clearly and concisely to non-technical stakeholders. - Participate in regular code reviews and contribute to the continuous improvement of development processes. 5. **Research & Innovation:**- Stay updated with the latest advancements in AI/ML and explore innovative solutions to address business challenges. - Contribute to open-source projects and share knowledge within the broader community. **Requirements:**1. **Technical Skills:**- Proficiency in Python, including familiarity with libraries such as Num Py, Pandas, Tensor Flow, Py Torch, and Scikit-Learn. - Expertise in designing and implementing machine learning pipelines using AWS services (Sage Maker, Lambda, EC2, RDS). - Strong understanding of data engineering principles and experience with AWS Glue, EMR, and Kinesis. - Familiarity with containerization technologies like Docker and Kubernetes for managing ML workloads. - Knowledge of cloud-native storage and database solutions. 2. **MLOps Experience:**- Hands-on experience with automating ML workflows using CI/CD tools like AWS Code Pipeline and Code Build. - Experience with model monitoring and logging frameworks like Amazon Cloud Watch and X-Ray. - Understanding of A/B testing and experiment management techniques. - Compliance with relevant regulations and best practices in MLOps.

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