People Prime Worldwide
Website:
people-prime.com
Job details:
About Client :-
Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.
The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world.
They provide a variety of services, including consulting, technology, professional, and outsourcing services. TLM Application Developer
Job Details:-
location : Pune,Hyderabad
Mode Of Work : Hybrid
Notice Period : Immediate Joiners
Experience : 6-10 yrs
Type Of Hire : Contract to Hire
Primary Skills :-
Key Responsibilities
· Build, train, and optimize machine learning models using Amazon SageMaker, including training jobs, hyperparameter tuning, feature engineering, and model evaluation.
· Develop data preprocessing and transformation pipelines using AWS Glue, Lambda, EMR, or SageMaker Processing.
· Implement real‑time and batch inference solutions using SageMaker Endpoints, Serverless Inference, or Batch Transform.
· Design and maintain ML CI/CD pipelines using SageMaker Pipelines, CodePipeline, Step Functions, and CloudFormation/Terraform.
· Build secure, scalable, highly available ML environments following AWS best practices.
· Integrate ML pipelines with S3, Kinesis, DynamoDB, RDS, Redshift, and other data services.
· Optimize compute and storage costs based on workload patterns.
· Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field.
· Strong programming skills in Python (NumPy, pandas, scikit‑learn, PyTorch, TensorFlow).
· Hands‑on experience with AWS ML services including SageMaker, ECR, Lambda, S3, CloudWatch, IAM.
· Experience deploying ML models to production using CI/CD and infrastructure-as-code.
· Understanding of ML lifecycle management and modern MLOps principles.
· Strong knowledge of distributed computing, model optimization, and cloud‑native architectures
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