1,063 AI Platform jobs in India

**Join Amgen's Mission to Serve Patients**
If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission-to serve patients-drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together-researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of.
**AI Platform Lead**
**Live**
**What you will do**
Let's do this. Let's change the world. In this vital role you will play a pivotal role in shaping our technology strategy and mentoring a team of dedicated engineers.
+ Possesses strong rapid prototyping skills and can quickly translate concepts into working code
+ Provide technical guidance and management to the development team.
+ Take ownership of complex software projects from conception to deployment. Handle software delivery scope, risk, and timeline
+ Contribute to both front-end and back-end development using cloud technology.
+ Develop innovative solution using generative AI technologies
+ Define and implement robust software architectures on the cloud, AWS preferred
+ Lead and motivate a team of engineers to deliver high-quality results.
+ Conduct code reviews to ensure code quality and adherence to best practices.
+ Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations.
+ Identify and resolve technical challenges effectively.
+ Stay updated with the latest trends and advancements
+ Work closely with product team, business team, and other key partners.
**Win**
**What we expect of you**
We are seeking a seasoned Full Stack Software Engineer Lead to spearhead the development and delivery of innovative software solutions. The ideal candidate will possess a strong blend of technical expertise, leadership skills, and a passion for building high-quality products
**Basic Qualifications:**
+ Master's degree computer science and engineering (preferred) with 6+ years of software development experience OR,
+ Bachelor's degree in computer science and engineering (preferred) with 8+ years of software development experience
+ Hands on experience with various cloud services, understand pros and cons of various cloud service in well architected cloud design principles
+ Hands on experience with Full Stack software development. Proficient in programming language Python(preferred), JavaScript, SQL/NoSQL.
+ Proven ability to lead and mentor software development teams
+ Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
**Preferred Qualifications:**
+ Experienced with API integration, serverless, microservices architecture.
+ Experience in SQL/NOSQL database, vector database for large language models
+ Experience with popular large language models
+ Experience with Langchain or llamaIndex framework for language models
+ Experience with prompt engineering, model fine tuning
+ Experience with Web site development, understand of web site localization processes, which involves adapting content to fit cultural and linguistic contexts.
+ Experience with DevOps/MLOps CICD build and deployment pipeline
+ Experience with design patterns, data structures, test-driven development.
+ Knowledge of NLP techniques for text analysis and sentiment analysis
**Professional Certifications** **:**
+ Cloud Computing certificate preferred
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation.
+ Ability to handle multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills.
**Thrive**
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now**
**for a career that defies imagination**
In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.
**careers.amgen.com**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Description

The candidate should have proven expertise in building scalable platforms that are customer facing and have expertise in evangelizing the platform with customers and with internal stakeholders Expert level knowledge of Cloud Computing including aspects of VPC Network Design, Shared Responsibility Matrix, Cloud databases, No SQL Databases, Data Pipelines on the cloud, VM and VM orchestration, Serverless frameworks. This should be across all 3 major cloud providers (AWS, Azure, GCP), preferably at least in 2 of the 3 Public Clouds Expert level knowledge in Data Ingestion paradigms & use of different types of databases like OLTP, OLAP for specific purposes Hands-on experience with Apache Spark, Apache Flink, Kafka, Kinesis, Pub/Sub, Databricks, Apache Airflow, Apache Iceberg, and Presto. Expertise in designing ML Pipelines for experiment management, model management, feature management, model retraining, A/B testing of models and design of APIs for model inferencing at scale. Proven expertise with Kube Flow, SageMaker/Vertex AI/Azure AI. SME in LLM Serving paradigms, deep knowledge of GPU architectures, distributed training and serving of large language models. Expertise in Model and Data parallel training, expertise with frameworks like DeepSpeed and service frameworks like vLLM etc. Proven expertise in Model finetuning and model optimization techniques to achieve better latencies, better accuracies in results. Be an expert in reducing training and resource requirements of finetuning of LLM and LVM models. Have a wide knowledge of different LLM models and have an opinion on aspects of applicability of each model based the usecases. Proven expertise of having worked on specific customer usecases and having seen delivery of a solution end to end from engineering to production. Proven expertise in DevOps and LLMOps, knowledge of Kubernetes, Docker and container orchestration, and deep knowledge of LLM Orchestration frameworks like Flowise, Langflow, Langgraph.

Skill Matrix

LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama

LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI

Dev Ops: Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus

Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.

Cloud Expertise: AWS/Azure/GCP

Cloud Certifications: AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert

Proficient in Python, SQL, Javascript

Position Description:

Gen AI Position:

Company Profile:
At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72, professionals located in 40 countries. Founded in , CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72, professionals located in 40 countries. Founded in , CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.

Job Title: Generative AI
Position: Software Engineer / Senior Software Engineer
Experience: 5 Plus ( Relevant into Gen AI 2 years)
Main location: Bangalore/ Hyderabad
Position ID: J-
Employment Type: Permanent
Location: Bangalore
Job Type: Ful-ltime
Experience Level: 5+ years

About the Role:
We are seeking a highly skilled and experienced Generative AI Solution Architect to lead the design and implementation of innovative AI solutions. This role focuses on utilizing Microsoft Azure Cognitive Services, Azure Open-AI, Databricks, and advanced AI/ML technologies to deliver cutting-edge AI-powered systems. As a key player in our cloud and AI transformation, you will architect and deploy solutions that leverage Natural Language Processing (NLP) and other AI models, ensuring optimal performance, scalability, and security within cloud environments.

Your future duties and responsibilities:

Key Responsibilities:
• Architect and design scalable AI solutions using Microsoft Azure Cognitive Services, Azure Open-AI, Databricks, and related AI tools.
• Lead the end-to-end development of AI/ML models, focusing on Natural Language Processing (NLP) and other generative AI use cases.
• Collaborate with cross-functional teams, including Data Science, Engineering, and DevOps, to deploy AI models into production environments using Azure Cloud and DevOps best practices.
• Develop and integrate advanced analytics solutions, leveraging Python (Anaconda) and various AI/ML frameworks.
• Oversee the implementation of cloud architectures, ensuring adherence to security, scalability, and reliability standards.
• Mentor and provide technical leadership to junior AI engineers and data scientists, fostering growth and development within the team.
• Engage with stakeholders to understand business challenges and identify opportunities for AI-driven improvements.
• Act as a subject matter expert (SME) for all AI-related topics, providing insights and guidance on cutting-edge AI technologies and industry trends.
• Deliver presentations and communicate complex technical solutions effectively to both technical and nontechnical audiences.
• Drive the implementation of DevOps practices for continuous integration and deployment (CI/CD) in AI model development.

Required Skills:

• Extensive experience with Microsoft Azure Cognitive Services, Azure AI, and Azure Open-AI for building AI solutions.
• Strong expertise in Python (Anaconda), AI/Machine Learning, and NLP technologies.
• Proficiency in Databricks for largescale data processing and machine learning workflows.
• Deep understanding of Cloud Architecture and AI deployments in the Microsoft Azure ecosystem.
• Experience in implementing and optimizing AI models in production environments using DevOps and CI/CD practices.
• Strong analytical thinking with the ability to solve complex AI problems and propose innovative solutions.
• Demonstrated knowledge of Artificial Intelligence, Machine Learning, and Data Science principles.
• Excellent communication and presentation skills, capable of articulating complex AI concepts to diverse audiences.
• Proven leadership and mentoring skills, with a passion for guiding and developing talent.

Required qualifications to be successful in this role:

Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
5+ years of experience in AI/ML, with at least 3 years in a solution architecture or similar role.
Certification in Microsoft Azure or related AI certifications is a preferred.

#LI-SA19

Skills:

Linux

Oracle ODI (Data Integration)

SQLite

We are seeking a skilled and experienced Platform Engineer/Architect to lead the setup, advancement and maintenance of a robust on-premise environment for hosting open-source large language models. This role involves designing and implementing scalable, secure, and efficient infrastructure solutions that cater to the specific needs of large-scale AI models.

HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN

• Design and architect a scalable and secure on-premise hosting environment for large language models.
• Develop and implement infrastructure automation tools for efficient management and deployment.
• Ensure high availability and disaster recovery capabilities.
• Optimize the hosting environment for maximum performance and efficiency.
• Implement monitoring tools to track system performance and resource utilization.
• Regularly update the infrastructure to incorporate the latest technological advancements.
• Establish robust security protocols to protect sensitive data and model integrity.
• Ensure compliance with data protection regulations and industry standards.
• Conduct regular security audits and vulnerability assessments.
• Work closely with AI/ML teams to understand their requirements and provide suitable infrastructure solutions.
• Provide technical guidance and support to internal teams and stakeholders.
• Stay abreast of emerging trends in AI infrastructure and large language model hosting.
• Manage physical and virtual resources to ensure optimal allocation and utilization.
• Forecast resource needs and plan for future expansion and upgrades

KEY SKILLS AND EXPERIENCE

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field with 7-12 years of experience.
• Proven experience in infrastructure architecture, with exposure to AI/ML environments.
• Experience with inferencing frameworks like TGI, TEI, Lorax, S-Lora etc.
• Experience with training frameworks like PyTorch, TensorFlow etc.
• Proven experience with On-premises OSS models – Llama3, Mistral etc.
• Strong knowledge of networking, storage, and computing technologies.
• Experience of working with container orchestration tools (e.g., Kubernetes - Redhat OS).
• Proficient programming skills in Python
• Familiarity with open-source large language models and their hosting requirements.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Skills Required
AI/ML, Lorax, TGI, TEI, S-Lora

Do you want to help solve the world&aposs most pressing challenges Feeding the world&aposs growing population and slowing climate change are two of the world&aposs greatest challenges. AGCO is a part of the solution! Join us to make your contribution.

As an AI Platform Architect, you will define and evolve the architecture of AGCO's AI platform, designing the technical foundation that empowers teams to deliver AI solutions efficiently, securely, and with confidence. Your work will shape how ML models move from experimentation to production, how AI platform services are consumed across teams, and how platform capabilities scale to support advanced use cases on cloud and edge deployments, including onboard our machines in the field.

Your Impact

• Define the reference architecture for AGCO's AI platform, covering AI/ML data pipeline platforms, model training infrastructure, CI/CD for ML, artifact management, observability, and self-service developer tools. Ensure platform services are scalable, auditable, and cost-efficient across heterogeneous workloads, e.g., computer vision, GenAI, machine learning, etc.
• Design core platform services such as containerized training environments, experiment tracking, model registries, and reusable orchestration patterns.
• Architect integration interfaces (API/CLI/UI) that allow AI delivery teams to self-serve platform capabilities reliably and securely.
• Collaborate with Enterprise Architecture, AI PODs and Product Engineering teams to ensure interoperability across systems. Support model deployment across cloud, internal APIs, dashboards, and embedded systems in agricultural machinery.
• Establish technical guardrails for reusability, performance, and lifecycle management of models and agents. Serve as a technical leader and advisor across teams, contributing to strategy, roadmap, and engineering excellence
  
  

Your Experience And Qualifications

• 10+ years of experience in Software-, ML infrastructure- or Platform engineering, including 3+ years in AI platform architecture. Proven success designing and deploying enterprise-grade ML infrastructure and AI platforms
• Deep expertise in cloud-native technologies and principles (GCP), e.g. Vertex AI, Cloud Run, GKE, Pub/Sub and Artifact Registry as well as automation, elasticity and resilience by default
• Experience with CI/CD for ML using tools like GitHub Actions, Kubeflow, and Terraform. Strong knowledge of containerization, reproducibility, and secure environment management (e.g. Kubernetes, AWS ECS, Azure Service Fabric and Docker)
• Deep understanding of model lifecycle management, including training, versioning, deployment, and monitoring. Familiarity with data and ML orchestration tools (e.g., Airflow), feature stores, and dataset management systems.
• Excellent systems thinking and architectural design skills, with the ability to design for modularity, scalability, and maintainability. Proven ability to work cross-functionally and influence technical direction across engineering and business units
  
  

Your Benefits

• GLOBAL DIVERSITY – Diversity means many things to us, different brands, cultures, nationalities, genders, generations – even variety in our roles. You make us unique!
• ENTERPRISING SPIRIT- Every role adds value. We&aposre committed to helping you develop and grow to realize your potential.
• POSITIVE IMPACT – Make it personal and help us feed the world.
• INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence – and work alongside teams of people worldwide who share your enthusiasm.
• MAKE THE MOST OF YOU – Benefits include health care and wellness plans and flexible and virtual work option……….
  
  

Your Workplace

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.

Join us as we bring agriculture into the future and apply now!

Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.

AGCO is proud to be an Equal Opportunity Employer

Skills Required
Airflow, Pub Sub, containerization , Gcp, Docker, Terraform, AWS ECS, Kubernetes

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

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 Matrix

• LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama
• LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI
• Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.
• Cloud Knowledge: AWS/Azure/GCP
• Dev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus
• Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert
• Proficient in Python, SQL, Javascript

Skills Required
Databases, Dev Ops, Javascript, Python, Sql, Llm

Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution. 

As an AI Platform Architect, you will define and evolve the architecture of AGCO’s AI platform, designing the technical foundation that empowers teams to deliver AI solutions efficiently, securely, and with confidence. Your work will shape how ML models move from experimentation to production, how AI platform services are consumed across teams, and how platform capabilities scale to support advanced use cases on cloud and edge deployments, including onboard our machines in the field.

Your Impact 

Define the reference architecture for AGCO’s AI platform, covering AI/ML data pipeline platforms, model training infrastructure, CI/CD for ML, artifact management, observability, and self-service developer tools. Ensure platform services are scalable, auditable, and cost-efficient across heterogeneous workloads, e.g., computer vision, GenAI, machine learning, etc. 

Design core platform services such as containerized training environments, experiment tracking, model registries, and reusable orchestration patterns. 

Architect integration interfaces (API/CLI/UI) that allow AI delivery teams to self-serve platform capabilities reliably and securely. 

Collaborate with Enterprise Architecture, AI PODs and Product Engineering teams to ensure interoperability across systems. Support model deployment across cloud, internal APIs, dashboards, and embedded systems in agricultural machinery. 

Establish technical guardrails for reusability, performance, and lifecycle management of models and agents. Serve as a technical leader and advisor across teams, contributing to strategy, roadmap, and engineering excellence 

Your Experience and Qualifications 

10+ years of experience in Software-, ML infrastructure- or Platform engineering, including 3+ years in AI platform architecture. Proven success designing and deploying enterprise-grade ML infrastructure and AI platforms 

Deep expertise in cloud-native technologies and principles (GCP), e.g. Vertex AI, Cloud Run, GKE, Pub/Sub and Artifact Registry as well as automation, elasticity and resilience by default 

Experience with CI/CD for ML using tools like GitHub Actions, Kubeflow, and Terraform. Strong knowledge of containerization, reproducibility, and secure environment management (e.g. Kubernetes, AWS ECS, Azure Service Fabric and Docker) 

Deep understanding of model lifecycle management, including training, versioning, deployment, and monitoring. Familiarity with data and ML orchestration tools (e.g., Airflow), feature stores, and dataset management systems. 

Excellent systems thinking and architectural design skills, with the ability to design for modularity, scalability, and maintainability. Proven ability to work cross-functionally and influence technical direction across engineering and business units 

Your Benefits 

GLOBAL DIVERSITY – Diversity means many things to us, different brands, cultures, nationalities, genders, generations – even variety in our roles. You make us unique!

ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.

POSITIVE IMPACT – Make it personal and help us feed the world.

INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence – and work alongside teams of people worldwide who share your enthusiasm.

MAKE THE MOST OF YOU – Benefits include health care and wellness plans and flexible and virtual work option………. 

Your Workplace  

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives. 

Join us as we bring agriculture into the future and apply now!

Additional Locations:  India-Haryana, Gurgaon

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

Manager, AI Platform

We are seeking a result-driven AI ML Platform Manager with a strong background in cloud technologies ( AWS, Azure) to lead the strategic development and delivery of enterprise-grade AI/ML platforms. This role is pivotal in enabling scalable, secure, and resilient business applications, integrating cloud-based systems, and driving digital transformation initiatives. This role will lead teams to achieve performance objectives and provide deep insights into best practices for solving complex problems.

Key Responsibilities include:

Lead an platform org of Cloud Administrators, Support Engineers, GenAI Ops Engineers and GenAI architects 

Collaborate with business unit heads, PMOs, and product managers to translate requirements into reliable platform capabilities 

Leading engagement delivery and managing client relationships on daily basis 

Standardize platform services across cloud and on-prem environments, ensuring alignment with enterprise architecture 

Accountable for program/project management and engagement economics 

Implement cost optimization and performance tuning for cloud workloads 

Lead cross-functional teams in developing APIs, integrations, and microservices that support data flow across systems 

Ensure robust CI/CD pipelines and infrastructure as code (IaC) using tools like Terraform or CloudFormation 

Implement observability tools (e.g., Fiddler, Datadog, Prometheus, Splunk) across enterprise workloads 

Enforce zero trust principles, encryption standards, and cloud security baselines 

Strong knowledge on micro-services deployment architecture with K8S experience 

Required Qualification: 

Bachelor's/Master’s in Computer Science, Engineering, or related discipline 

10+ years of experience in enterprise platform tools with 4 years of strong AI ML platform experience and 6+ years of cloud experience 

Proven experience in managing infrastructure and workloads on AWS, Azure, or GCP 

Strong communication and stakeholder management skills, with the ability to collaborate effectively across diverse teams and functions 

Strong understanding of business, budget, vendor management, financial management, team management.

Requisition ID:  610749

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

The candidate should have proven expertise in building scalable platforms that are customer facing and have expertise in evangelizing the platform with customers and with internal stakeholders Expert level knowledge of Cloud Computing including aspects of VPC Network Design, Shared Responsibility Matrix, Cloud databases, No SQL Databases, Data Pipelines on the cloud, VM and VM orchestration, Serverless frameworks.

This should be across all 3 major cloud providers (AWS, Azure, GCP), preferably at least in 2 of the 3 Public Clouds Expert level knowledge in Data Ingestion paradigms & use of different types of databases like OLTP, OLAP for specific purposes Hands-on experience with Apache Spark, Apache Flink, Kafka, Kinesis, Pub/Sub, Databricks, Apache Airflow, Apache Iceberg, and Presto.  

Expertise in designing ML Pipelines for experiment management, model management, feature management, model retraining, A/B testing of models and design of APIs for model inferencing at scale. Proven expertise with Kube Flow, SageMaker/Vertex AI/Azure AI. SME in LLM Serving paradigms, deep knowledge of GPU architectures, distributed training and serving of large language models.

Expertise in Model and Data parallel training, expertise with frameworks like DeepSpeed and service frameworks like vLLM etc. Proven expertise in Model finetuning and model optimization techniques to achieve better latencies, better accuracies in results. Be an expert in reducing training and resource requirements of finetuning of LLM and LVM models.

Have a wide knowledge of different LLM models and have an opinion on aspects of applicability of each model based the usecases. Proven expertise of having worked on specific customer usecases and having seen delivery of a solution end to end from engineering to production.

Proven expertise in DevOps and LLMOps, knowledge of Kubernetes, Docker and container orchestration, and deep knowledge of LLM Orchestration frameworks like Flowise, Langflow, Langgraph.

Skill Matrix

• LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama
• LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI
• Dev Ops: Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus
• Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.
• Cloud Expertise: AWS/Azure/GCP
• Cloud Certifications: AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert
• Proficient in Python, SQL, Javascript

Skills Required
Apache Airflow, Azure, Python, Aws