AI Platform Engineer BFSI Domain
- Expleo
- 2 - 6 years
- Mumbai
- 6 months ago
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Job Description
Overview Key Responsibilities
Platform Development and Evangelism:
- Build scalable AI platforms that are customer-facing.
- Evangelize the platform with customers and internal stakeholders.
- Ensure platform scalability, reliability, and performance to meet business needs. Machine Learning Pipeline Design:
- Design ML pipelines for experiment management, model management, feature management, and model retraining.
- Implement A/B testing of models.
- Design APIs for model inferencing at scale.
- Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. LLM Serving and GPU Architecture:
- Serve as an SME in LLM serving paradigms.
- Possess deep knowledge of GPU architectures.
- Expertise in distributed training and serving of large language models.
- Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. Model Fine-Tuning and Optimization:
- Demonstrate proven expertise in model fine-tuning and optimization techniques.
- Achieve better latencies and accuracies in model results.
- Reduce training and resource requirements for fine-tuning LLM and LVM models. LLM Models and Use Cases:
- Have extensive knowledge of different LLM models.
- Provide insights on the applicability of each model based on use cases.
- Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases. DevOps and LLMOps Proficiency:
- Proven expertise in DevOps and LLMOps practices.
- Knowledgeable in Kubernetes, Docker, and container orchestration.
- Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph. Skill MatrixLLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, LlamaLLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AIDatabases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.Cloud Knowledge: AWS/Azure/GCPDev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, PrometheusCloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect ExpertProficient in Python, SQL, JavascriptResponsibilitiesKey ResponsibilitiesPlatform Development and Evangelism:
- Build scalable AI platforms that are customer-facing.
- Evangelize the platform with customers and internal stakeholders.
- Ensure platform scalability, reliability, and performance to meet business needs. Machine Learning Pipeline Design:
- Design ML pipelines for experiment management, model management, feature management, and model retraining.
- Implement A/B testing of models.
- Design APIs for model inferencing at scale.
- Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. LLM Serving and GPU Architecture:
- Serve as an SME in LLM serving paradigms.
- Possess deep knowledge of GPU architectures.
- Expertise in distributed training and serving of large language models.
- Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. Model Fine-Tuning and Optimization:
- Demonstrate proven expertise in model fine-tuning and optimization techniques.
- Achieve better latencies and accuracies in model results.
- Reduce training and resource requirements for fine-tuning LLM and LVM models. LLM Models and Use Cases:
- Have extensive knowledge of different LLM models.
- Provide insights on the applicability of each model based on use cases.
- Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases. DevOps and LLMOps Proficiency:
- Proven expertise in DevOps and LLMOps practices.
- Knowledgeable in Kubernetes, Docker, and container orchestration.
- Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph. Qualifications
- 35 years in AI/ML product development.
- Skill MatrixLLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, LlamaLLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AIDatabases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.Cloud Knowledge: AWS/Azure/GCPDev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, PrometheusCloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect ExpertProficient in Python, SQL, JavascriptEssential skillsSkill MatrixLLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, LlamaLLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AIDatabases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.Cloud Knowledge: AWS/Azure/GCPDev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, PrometheusCloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect ExpertProficient in Python, SQL, JavascriptExperience
- Skill MatrixLLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, LlamaLLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AIDatabases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.Cloud Knowledge: AWS/Azure/GCPDev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, PrometheusCloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect ExpertProficient in Python, SQL, Javascript
- upto 6 years
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Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: ExpleoLocation(s): Mumbai+ View Contact
Keyskills: GCP Postgresql MySQL Machine learning Javascript Cosmos Data warehousing AWS SQL Python
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