AI/Machine Learning Developer

2 days ago

Hyderabad, Telangana, India beBeeMachineLearning Full time US$ 90,000 - US$ 1,20,000

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

We are seeking a highly skilled and experienced AI/ML Specialist to drive innovation in machine learning model development, deployment, and maintenance. The ideal candidate will have strong proficiency in Python, extensive experience with AWS services, and a solid understanding of MLOps principles.

**Key Responsibilities:

1. Model Development & Deployment:

  • Design and implement scalable ML pipelines using AWS services including SageMaker, Lambda, EC2, and RDS.
  • Develop cutting-edge AI/ML models using Python libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
  • 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 DataBrew.

3. MLOps Practices:

  • Automate model deployment processes using CI/CD tools like AWS CodePipeline and AWS CodeBuild.
  • Implement monitoring and logging mechanisms to track model performance and detect anomalies.
  • Conduct A/B testing and experiment management to optimize model outcomes.

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.

**Requirements:

1. Technical Skills:

  • Proficiency in Python, including familiarity with libraries such as NumPy, Pandas, TensorFlow, PyTorch, and Scikit-Learn.
  • Expertise in designing and implementing machine learning pipelines using AWS services (SageMaker, 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 CodePipeline and CodeBuild.
  • Experience with model monitoring and logging frameworks like Amazon CloudWatch and X-Ray.

**Ideal Candidate Profile:

The ideal candidate will possess a bachelor's degree in Computer Science or a related field, with at least 3 years of experience in AI/ML engineering. Strong communication skills and the ability to work collaboratively in a team environment are essential.

**Benefits:

This role offers a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.

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