Machine Learning Engineer – Aws & Mlops

Year    KL, IN, India

Job Description

Job Summary:


We are seeking a highly skilled and motivated

Machine Learning Engineer

with a strong foundation in programming and machine learning, hands-on experience with

AWS Machine Learning services (especially SageMaker)

, and a solid understanding of

Data Engineering and MLOps practices

. You will be responsible for designing, developing, deploying, and maintaining scalable ML solutions in a cloud-native environment.

Key Responsibilities:

Design and implement machine learning models and pipelines using

AWS SageMaker

and related services. Develop and maintain robust

data pipelines

for training and inference workflows. Collaborate with data scientists, engineers, and product teams to translate business requirements into ML solutions. Implement

MLOps best practices

including CI/CD for ML, model versioning, monitoring, and retraining strategies. Optimize model performance and ensure scalability and reliability in production environments. Monitor deployed models for drift, performance degradation, and anomalies. Document processes, architectures, and workflows for reproducibility and compliance.

Required Skills & Qualifications:

Strong programming skills in

Python

and familiarity with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Solid understanding of

machine learning algorithms

, model evaluation, and tuning. Hands-on experience with

AWS ML services

, especially

SageMaker

, S3, Lambda, Step Functions, and CloudWatch. Experience with

data engineering tools

(e.g., Apache Airflow, Spark, Glue) and

workflow orchestration

. Proficiency in

MLOps tools

and practices (e.g., MLflow, Kubeflow, CI/CD pipelines, Docker, Kubernetes). Familiarity with monitoring tools and logging frameworks for ML systems. Excellent problem-solving and communication skills.

Preferred Qualifications:

AWS Certification (e.g., AWS Certified Machine Learning - Specialty). Experience with real-time inference and streaming data. * Knowledge of data governance, security, and compliance in ML systems.

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Job Detail

  • Job Id
    JD4271376
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    KL, IN, India
  • Education
    Not mentioned
  • Experience
    Year