465 Machine Learning Architect jobs in Hyderabad

Architect the Future of AI with goML

At goML , we design and build cutting-edge Generative AI, AI/ML solutions that help enterprises unlock the full potential of their data, drive intelligent automation, and create transformative AI-powered experiences.

Our mission is to bridge the gap between advanced AI research and real-world enterprise adoption — empowering businesses to innovate faster, make smarter decisions, and scale AI seamlessly across operations.

We’re looking for an Associate ML Architect with strong expertise in AWS, Generative AI, and ML system design . In this role, you’ll architect scalable, high-performance, and cost-efficient AI solutions — leveraging AWS AI/ML services, modern data platforms, and cloud-native best practices.

If you’re passionate about building production-grade AI systems and driving the next wave of enterprise GenAI innovation, we’d love to hear from you!

Why You? Why Now?

Generative AI is revolutionizing how businesses operate — but scaling it requires strong architecture, security, and performance foundations.

This role is ideal for someone who loves architecting AI/ML workloads , optimizing LLM pipelines , and collaborating with clients to deliver enterprise-grade AI systems.

At goML, You Will:

• Architect and own end-to-end AI/ML and GenAI solutions across industries.
• Collaborate with sales, presales, and engineering teams to define technical proposals.
• Design cloud-native, multi-tenant, and serverless architectures on AWS using services like SageMaker, Bedrock, Lambda, API Gateway, and OpenSearch.
• Work directly with the co-founders and leadership to influence AI/ML strategy and architecture decisions.

What You’ll Do (Key Responsibilities)

First 30 Days: Foundation & Alignment

• Deep dive into goML’s AI/ML & GenAI solution frameworks and ongoing client architectures.
• Familiarize yourself with AWS partnership workflows and solution templates.
• Partner with presales teams to understand client needs and pain points.
• Start designing and reviewing AI/ML workload deployment practices on AWS.

First 60 Days: Execution & Impact

• Own solution design and delivery for client AI/ML and LLM workloads.
• Build reference architectures, POCs , and define ML pipelines with MLOps best practices.
• Optimize inference, embeddings, GPU utilization, and cost efficiency across workloads.
• Collaborate with clients and internal teams to translate GenAI use cases into scalable architectures.

First 180 Days: Ownership & Leadership

• Lead architecture reviews for enterprise-grade AI/ML systems.
• Implement RAG pipelines , fine-tuning strategies, and LLM optimization frameworks.
• Mentor ML engineers and cloud developers in MLOps and scalable AI system design.
• Contribute to goML’s AI/ML best practices , internal accelerators, and knowledge base.
• Represent goML in technical blogs, webinars, and community forums.

What You Bring (Qualifications & Skills)

Must-Have

• 6–7 years of experience in AI/ML solution design and deployment on AWS.
• Proven expertise in AWS AI/ML stack – SageMaker, Bedrock, Lambda, ECS, API Gateway, S3, and DynamoDB.
• Experience in LLMOps, RAG pipelines, and GenAI architecture using models like Claude, Mistral, Llama, or Titan.
• Solid understanding of MLOps , CI/CD, and infrastructure automation (Terraform/CDK).
• Strong communication skills with experience in client-facing discussions and technical proposal creation.

Nice-to-Have

• Exposure to Azure ML, GCP Vertex AI, or NVIDIA AI/ML services.
• Hands-on experience with LangChain, Hugging Face , or vector databases (OpenSearch, Pinecone, FAISS).
• Familiarity with multi-cloud AI deployments and hybrid data architectures.

Why Work With Us?

• Remote-first , with offices in Coimbatore for collaboration and innovation.
• Opportunity to build GenAI and AI/ML systems that power enterprise-scale transformations.
• Direct impact on technical strategy, solution architecture, and client success.

Architect the Future of AI with goML

At goML , we design and build cutting-edge Generative AI, AI/ML solutions that help enterprises unlock the full potential of their data, drive intelligent automation, and create transformative AI-powered experiences.

Our mission is to bridge the gap between advanced AI research and real-world enterprise adoption — empowering businesses to innovate faster, make smarter decisions, and scale AI seamlessly across operations.

We’re looking for an Associate ML Architect with strong expertise in AWS, Generative AI, and ML system design . In this role, you’ll architect scalable, high-performance, and cost-efficient AI solutions — leveraging AWS AI/ML services, modern data platforms, and cloud-native best practices.

If you’re passionate about building production-grade AI systems and driving the next wave of enterprise GenAI innovation, we’d love to hear from you!

Why You? Why Now?

Generative AI is revolutionizing how businesses operate — but scaling it requires strong architecture, security, and performance foundations.

This role is ideal for someone who loves architecting AI/ML workloads , optimizing LLM pipelines , and collaborating with clients to deliver enterprise-grade AI systems.

At goML, You Will:

• Architect and own end-to-end AI/ML and GenAI solutions across industries.
• Collaborate with sales, presales, and engineering teams to define technical proposals.
• Design cloud-native, multi-tenant, and serverless architectures on AWS using services like SageMaker, Bedrock, Lambda, API Gateway, and OpenSearch.
• Work directly with the co-founders and leadership to influence AI/ML strategy and architecture decisions.

What You’ll Do (Key Responsibilities)

First 30 Days: Foundation & Alignment

• Deep dive into goML’s AI/ML & GenAI solution frameworks and ongoing client architectures.
• Familiarize yourself with AWS partnership workflows and solution templates.
• Partner with presales teams to understand client needs and pain points.
• Start designing and reviewing AI/ML workload deployment practices on AWS.

First 60 Days: Execution & Impact

• Own solution design and delivery for client AI/ML and LLM workloads.
• Build reference architectures, POCs , and define ML pipelines with MLOps best practices.
• Optimize inference, embeddings, GPU utilization, and cost efficiency across workloads.
• Collaborate with clients and internal teams to translate GenAI use cases into scalable architectures.

First 180 Days: Ownership & Leadership

• Lead architecture reviews for enterprise-grade AI/ML systems.
• Implement RAG pipelines , fine-tuning strategies, and LLM optimization frameworks.
• Mentor ML engineers and cloud developers in MLOps and scalable AI system design.
• Contribute to goML’s AI/ML best practices , internal accelerators, and knowledge base.
• Represent goML in technical blogs, webinars, and community forums.

What You Bring (Qualifications & Skills)

Must-Have

• 6–7 years of experience in AI/ML solution design and deployment on AWS.
• Proven expertise in AWS AI/ML stack – SageMaker, Bedrock, Lambda, ECS, API Gateway, S3, and DynamoDB.
• Experience in LLMOps, RAG pipelines, and GenAI architecture using models like Claude, Mistral, Llama, or Titan.
• Solid understanding of MLOps , CI/CD, and infrastructure automation (Terraform/CDK).
• Strong communication skills with experience in client-facing discussions and technical proposal creation.

Nice-to-Have

• Exposure to Azure ML, GCP Vertex AI, or NVIDIA AI/ML services.
• Hands-on experience with LangChain, Hugging Face , or vector databases (OpenSearch, Pinecone, FAISS).
• Familiarity with multi-cloud AI deployments and hybrid data architectures.

Why Work With Us?

• Remote-first , with offices in Coimbatore for collaboration and innovation.
• Opportunity to build GenAI and AI/ML systems that power enterprise-scale transformations.
• Direct impact on technical strategy, solution architecture, and client success.

Position Title: ML Ops Engineer 4

Complete onsite .

Full-Time role

Shift Timings: 10-7 pm /11-8 pm /12-9 pm

Address: Spire T110, Hyderabad Knowledge City, Madhapur, Hyderabad, Telangana, India, .

Job Description:

Roles & Responsibilities:

• Define the long-term vision and strategy for MLOps initiatives: Set the direction for the organization’s MLOps, model deployment, and monitoring practices.
• Lead and manage a team of MLOps engineers: Provide technical guidance, mentorship, and career development for team members.
• Identify and explore cutting-edge research areas and technologies: Stay abreast of the latest advancements in MLOps, model serving, and AI operations.
• Drive innovation and the development of novel MLOps solutions: Lead efforts, prototype new approaches, and oversee implementation of advanced MLOps platforms.
• Design and manage scalable ML infrastructure and pipelines on GCP;
  oversee model deployment (A/B testing, rollouts/rollbacks, auto-scaling), and establish monitoring/observability (performance, drift, KPIs).
• Ensure ML operations meet governance, security, compliance, and disaster recovery standards across the organization.
• Collaborate with executive leadership on strategic decision-making: Align MLOps initiatives with business objectives and organizational priorities.
• Establish and enforce MLOps standards and best practices: Ensure quality, reproducibility, and security of ML systems across the organization.
• Represent the organization in external MLOps communities: Speak at conferences, publish thought leadership, and build partnerships with academia and industry.

Technical Skills:

• 12+ - years of experience
• Mastery of relevant technical skills: Deep expertise in MLOps, model deployment, monitoring, and governance.
• Significant experience in designing and implementing complex MLOps systems at scale: Lead the architecture and deployment of large-scale MLOps platforms on GCP.
• Hands-on experience architecting large-scale ML platforms on GCP (Vertex AI, GKE, Dataflow, Big Query, Pub/Sub, Cloud Composer), implementing experiment tracking (MLflow, Weights & Biases, TensorBoard), feature stores (Vertex AI), data pipelines and workflow orchestration, and ensuring cloud security, compliance, disaster recovery, and cost optimization.
• Strong leadership and team management skills: Build, mentor, and lead high-performing MLOps teams.
• Excellent strategic thinking and problem-solving abilities: Translate business challenges into scalable, reliable MLOps solutions.
• Exceptional communication and influencing skills: Advocate for MLOps initiatives, and influence executive decisions and represent the organization externally through conferences, publications, and industry engagement.

Must Have Skills:

• Deep expertise in MLOps, model deployment, monitoring, and governance
• Experience building scalable MLOps platforms on GCP
• Proficiency with CI/CD for ML, containerization (e.G. Docker, Kubernetes), IaC (Terraform), and orchestration
• Leadership in MLOps strategy, standards, and cross-team collaboration
• Hands-on expertise with GCP ML and data services (Vertex AI, Dataflow, BigQuery, Pub/Sub, Cloud Composer, GKE).
• Experience implementing model observability (performance monitoring, drift detection, dashboards, and alerts).
• Proficiency with experiment tracking (MLflow, W&B) and feature store management.
• Knowledge of cloud security, compliance, and cost optimization strategies.

Job description

At YASH, were a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are seeking a highly skilled and experienced Solution Architect specializing in Data Science and AI to join our dynamic team. This role is crucial in designing and implementing scalable, robust, and efficient AI and data science solutions that address complex business challenges. You will work closely with stakeholders, data scientists, engineers, and product teams to translate business requirements into technical architectures and roadmaps. Your expertise will drive the successful delivery of innovative AI-powered products and services.

Responsibilities:

• Define solution architecture across data science and GenAI initiatives.
• Translate business requirements into technical solutions.
• Review design, scalability, performance, and compliance.
• Act as bridge between business, engineering, and leadership.

Required Skills:

• Experience in handling delivery.
• Proven experience architecting cloud-native AI/ML/GenAI solutions.
• Deep understanding of LLM architecture and GenAI orchestration.
• Knowledge of graph databases, security best practices, cost optimization.
• Excellent client communication and stakeholder alignment skills.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of experience in AI/ML development and solutions architecture.
• Proven expertise in designing and implementing machine learning models and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Experience with MLOps tools and practices.
• Excellent programming skills in Python or other relevant languages.
• Strong understanding of data engineering principles and big data technologies.
• Exceptional problem-solving, analytical, and communication skills.
• Ability to thrive in a hybrid work setting.

Immediate Joiner For AI Engineer @ Hyderabad

No Fresher Only 6+ yrs exp :

AI Engineer

Technical Skills

• Programming: Python, R, Java,
• ML Frameworks: TensorFlow, PyTorch, Keras
• Data Management: SQL, NoSQL
• NLP & Computer Vision expertise
• Cloud Computing: Azure

Core responsibilities

Data Collection & Preprocessing

• Gather relevant datasets from various sources.
• Clean, normalize, and prepare data for modeling

Model Development

• Select appropriate algorithms (e.G., supervised, unsupervised, reinforcement learning).
• Build and train models using frameworks like TensorFlow, PyTorch, or scikit-learn

Model Evaluation & Validation

• Use metrics like accuracy, precision, recall, and F1 score.
• Apply cross-validation and A/B testing to ensure robustness

Deployment & Integration

• Deploy models using cloud platforms ( Azure).
• Integrate AI into existing systems using APIs and containerization tools like Docker

Interested candidate kindly share your resume on below mail id:

ANSR is hiring for one of its clients.

About American Airlines:

To Care for People on Life's Journey®. Together with our American Eagle regional partners, we offer thousands of flights daily to more than 350 destinations in more than 60 countries.

American Airlines is transforming the way it delivers technology to its customers and team members worldwide.

American’s Tech Hub in Hyderabad, India, is our latest technology office location and home to team members who drive technical innovation and engineer unrivalled digital products to best serve American’s customers and team members. With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, our new team in Hyderabad, India enables better support of our 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience.

Job Description:

INTRO:

Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you’ll travel the world, grow your expertise, and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard!

Why you will love this job:

• As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline.
• The Machine Learning domain encompasses the application of algorithms and models to enable computers to learn from and make predictions or decisions based on data. This domain is generally a subset of the AI or Data Domain.
• Scope includes various subfields, including segmentation, propensity modeling, natural language processing (NLP), reinforcement learning, and working with foundation models for generative AI.

This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

• Collaborate with leaders, business analysts, project managers ,IT architects, technical leads and other engineers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions
• Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development
• Troubleshoot and debug complex issues;
  identify and implement solutions
• Create detailed project specifications, requirements, and estimates
• Research and implement new AI technologies to enhance current processes, security, and performance
• Work closely with data scientists and product teams to build and deploy AI solutions, focusing on the technical aspects of AI deployment & associated resources
• Implement and optimize Python-based ML pipelines for data preprocessing, model training, and deployment.
• Monitor model performance and implement strategies for bias mitigation and explainability. Responsible for ensuring models are scalable and efficient in production environments.
• Write and maintain code for model training and deployment, collaborating with software engineers to integrate models into applications.
• Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions.

All you will need for success:

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS / MIS), Engineering or related technical discipline, or equivalent experience / training
• 3+ years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications in hosted production environments
• 3+ years of professional, design, and open-source experience

Preferred Qualifications:

• Master's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• 5 years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications
• Airline Industry experience

Skills, Licenses, and Certifications:

Proficiency and demonstrated experience in the following technologies:

• Python
• Databricks
• Azure AI Foundry services, including Azure ML Studio, AI search, Semantic Kernels, Semantic Cache, Content safety filters etc
• Database and persistence frameworks: Hibernate, Oracle, Object / Relational Mapping, Query performance tuning
• Cloud-based development: Microsoft Azure, AWS
• Web Servers: Tomcat, tcServer, Websphere
• Web Services: REST / SOAP (JSON / WSDL / XML)
• AI/ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face
• MLOps Tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes
• Build/deployment tools: Maven, Gradel, Git, Junit, Mockito
• Other DevOps Toolchain: Nexus Repository, SonarQube, Slack, GitHub, Jenkins, Elastic Search, Logback, Log4j, ADO Pipelines
• Proficiency in object-oriented design techniques and principles
• Experience developing and implementing governance frameworks and controls for responsible AI, knowledge of various AI regulations
• Proficiency in post-deployment model maintenance, including observability, monitoring, and drift detection
• Strong understanding of GEN AI & NLP concepts, including LLMs, tokenization, embeddings, transformers, and attention mechanisms
• Knowledge of VectorDatabases (e.G., Pinecone, FAISS, Weaviate) and retrieval-augmented generation (RAG) strategies
• Familiarity with data pipelines, ETL, and distributed computing frameworks
• Experience developing and implementing generative-based AI solutions using Large-Language Models (LLMs) (e.G., Open AI GPT, Google Gemini, Llama)
• Expertise in Prompt Engineering, including designing and optimizing prompts for foundation models
• Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.)
• Experience in Agile methodologies, such as SCRUM
• Experience in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment

Language / Communication skills:

• Ability to effectively communicate both verbally and written with all levels within the organization
• Physical ability necessary to safely and successfully perform the essential functions of the position, with or without any legally required reasonable accommodations that do not pose an undue hardship.

Note: If the Company has reason to question an employee’s physical ability to safely and/or successfully perform the position’s essential job functions, the HR team generally will engage in an interactive process to determine whether a reasonable accommodation is appropriate. HR (working with the operation) ordinarily first speaks with the team member directly and they mutually identify the physical demands of the job that are or may be impacted by the employee’s obvious or known condition. Then, if necessary, HR would request medical documentation from the team member’s treating physician or others to confirm the employee’s ability to perform those essential job functions safely and successfully.

Feel free to be yourself at American:

Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life’s journey? Feel free to be yourself in America

• Design and architect scalable, end-to-end machine learning pipelines and AI solutions.
• Select appropriate ML algorithms, frameworks, and tools for various use cases.
• Oversee the implementation of data preprocessing, feature engineering, and model training processes.
• Develop strategies for model deployment, monitoring, and continuous improvement (MLOps).
• Collaborate with data scientists and software engineers to build and integrate AI models.
• Ensure the scalability, reliability, and security of AI solutions.
• Translate business requirements into technical specifications and AI project plans.
• Evaluate and recommend new AI technologies and best practices.
• Mentor junior team members and contribute to knowledge sharing within the AI community.
• Ensure ethical considerations and bias mitigation are integrated into AI development.

• Proven experience as an AI Solutions Architect or in a senior ML Engineering role.
• Deep understanding of machine learning algorithms, statistical modeling, and deep learning.
• Expertise in ML frameworks such as TensorFlow, PyTorch, scikit-learn.
• Strong experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in MLOps principles and tools for CI/CD, model management, and deployment.
• Experience with data engineering, data pipelines, and big data technologies.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and leadership skills for collaborating in a remote setting.
• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
• Experience with natural language processing (NLP) or computer vision is a plus.

Hello,

Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).

Job Description given below please go through to understand the requirement.

if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).

Mention Subject Line :-

Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)

Share your details in the mail :-

Full Name :

Mobile # :

Qualification :

Company Name :

Designation :

Total Work Experience Years :

Current CTC :

Expected CTC :

Notice Period :

Current Location :

If out-station willing to move to Hyd? :

Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .

Job Description :-

Data Science Manager - AI & GENERATIVE LANGUAGE MODELS

Position Overview

We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.

Core Responsibilities

Strategic Leadership

• Develop and execute our organization's vision and strategy for generative AI and LLM applications
• Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
• Identify high-impact business opportunities where LLMs can deliver significant value
• Establish roadmaps for AI implementation hat align with broader organizational goals
• Stay at the forefront of rapidly evolving LLM technologies and industry developments

Technical Direction

• Oversee the design, development, and optimization of LLM-based applications
• Guide the selection, customization, and fine-tuning of language models for specific use cases
• Establish architecture and frameworks for integrating LLMs into existing products and services
• Implement best practices for prompt engineering, context handling, and model evaluation
• Ensure AI solutions balance performance, cost-efficiency, and ethical considerations

Team Management

• Build and mentor a talented team of AI specialists with expertise in generative models
• Create a collaborative environment that fosters innovation and knowledge sharing
• Set clear objectives and performance expectations for team members
• Recruit, develop, and retain top AI talent in a competitive market
• Promote continuous learning and professional growth within the team

Cross-Functional Collaboration

• Partner with business leaders to translate organizational needs into AI solutions
• Collaborate with product, engineering, and design teams to integrate AI capabilities
• Communicate complex AI concepts effectively to various stakeholders
• Work with legal and compliance teams to ensure responsible AI deployment
• Drive AI literacy and adoption across the organization

Experience

• 10+ years of experience in artificial intelligence or machine learning
• 5+ years of hands-on experience with LLMs and generative AI technologies
• 5+ years in leadership roles managing technical teams
• Proven track record of successfully implementing AI solutions in production environments
• Experience with LLM fine-tuning, prompt engineering, and AI application development

Technical Skills

• Deep understanding of LLM architectures, capabilities, and limitations
• Expertise in natural language processing and generative AI techniques
• Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
• Experience with MLOps and AI deployment infrastructures
• Knowledge of responsible AI practices, including bias mitigation and ethical AI use

Education Qualification

• Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
• Relevant certifications in AI, machine learning, or cloud technologies are a plus

Leadership & Professional Skills

• Strong strategic thinking and business acumen
• Excellent communication and stakeholder management abilities
• Team leadership and mentoring capabilities
• Problem-solving mindset and ability to drive innovation
• Project management skills and experience with agile methodologies

Thanks & Regards,

Salim

(Human Resources)