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Ai Ml Engineer

2 weeks ago

Hyderabad Indore, India Valuelabs Full time US$ 1,25,000 - US$ 1,75,000 per year

**Job Title:** Senior AI/ML Engineer

**Job Type:** Full-Time

**Experience Level:** 4-10 Years

**Job Overview:**

We are seeking a highly skilled Senior 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:**

  2. Develop cutting-edge AI/ML models using Python libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.

  3. Design and implement scalable ML pipelines using AWS services including SageMaker, Lambda, EC2, and RDS.

  4. Continuously improve model performance through iterative experimentation and hyperparameter tuning.

  5. **Data Engineering:**

  6. Work closely with data scientists and engineers to ingest, preprocess, and store large datasets efficiently.

  7. Implement robust data pipelines using AWS Glue, EMR, and Kinesis for real-time data processing.

  8. Ensure data quality and manage metadata effectively using tools like AWS Data Catalog and Glue DataBrew.

  9. **MLOps Practices:**

  10. Automate model deployment processes using CI/CD tools like AWS CodePipeline and AWS CodeBuild.

  11. Implement monitoring and logging mechanisms to track model performance and detect anomalies.

  12. Conduct A/B testing and experiment management to optimize model outcomes.

  13. Ensure compliance with regulatory standards and best practices in MLOps.

  14. **Collaboration & Communication:**

  15. Collaborate with cross-functional teams including product managers, data scientists, and business stakeholders to understand project requirements.

  16. Communicate technical findings and recommendations clearly and concisely to non-technical stakeholders.

  17. Participate in regular code reviews and contribute to the continuous improvement of development processes.

**Requirements:**

  1. **Technical Skills:**

  2. Proficiency in Python, including familiarity with libraries such as NumPy, Pandas, TensorFlow, PyTorch, and Scikit-Learn.

  3. Expertise in designing and implementing machine learning pipelines using AWS services (SageMaker, Lambda, EC2, RDS).

  4. Strong understanding of data engineering principles and experience with AWS Glue, EMR, and Kinesis.

  5. Familiarity with containerization technologies like Docker and Kubernetes for managing ML workloads.

  6. Knowledge of cloud-native storage and database solutions.

  7. **MLOps Experience:**

  8. Hands-on experience with automating ML workflows using CI/CD tools like AWS CodePipeline and CodeBuild.

  9. Experience with model monitoring and logging frameworks like Amazon CloudWatch and X-Ray.

  10. Understanding of A/B testing and experiment management techniques.

  11. Compliance with relevant regulations and best practices in MLOps.

  12. **Soft Skills:**

  13. Excellent problem-solving and analytical skills.

  14. Strong communication and collaboration abilities.

  15. Ability to work independently and in a fast-paced environment.

  16. Continuous learning mindset and passion for technology.