Job Summary We are looking for a highly skilled Technical Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with an overall experience of 9-12 years. This role involves architecting AI/ML/GenAI-driven applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional teams. Key Responsibilities Technical Leadership & Architecture Design and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications. Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions. Lead full lifecycle development of AI/ML/GenAI solutionsfrom PoC to productionensuring reliability and performance. Define and implement best practices for MLOps, DataOps, and DevOps on AWS. AI/ML & Generative AI Expertise Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan. Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications. Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines. Cloud & Infrastructure Management Architect event-driven, serverless, and microservices architectures for AI/ML applications. Ensure high availability, disaster recovery, and cost optimization in cloud deployments. Implement IAM, VPC, security best practices, and compliance. Team & Client Engagement Lead and mentor a team of ML engineers, Python Developer and Cloud Engineers. Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/GenAI-driven solutions. Conduct technical workshops, training sessions, and knowledge-sharing initiatives. Multi-Client & Business Strategy Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their business needs. Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions. Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings. Key Skills & Technologies Cloud & DevOps AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK) Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito AI/ML & GenAI LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), OpenAI, Llama ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face Vector DBs: OpenSearch, Pinecone, FAISS RAG Pipelines, Prompt Engineering, Fine-tuning Software Architecture & Scalability Serverless & Microservices Architecture API Design & GraphQL Event-Driven Systems (SNS, SQS, EventBridge, Step Functions) Performance Optimization & Auto Scaling

We are in search of a passionate and skilled Python Developer to join our dynamic team. This role is ideal for someone with a profound expertise in Python and its ecosystem, focused on backend development, API design, and system integration. Candidate Experience - 3+ Years Technologies - Python, FastAPI, Django, Flask, SQL/NoSQL, Docker, AWS, CI/CD pipelines. Responsibilities 1. Develop, maintain, and improve backend services and APIs using Python with frameworks like FastAPI, Django, or Flask. 2. Design and implement Python packages and SDKs for use within and outside the organization, ensuring robustness, scalability, and ease of use. 3. Employ object-oriented programming principles and software design patterns to write clean, maintainable, and efficient code. 4. Manage integration with databases, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis), ensuring data integrity and performance. 5. Engage in asynchronous programming to enhance application performance and user experience. 6. Collaborate with cross-functional teams to define, design, and ship new features. 7. Maintain and improve the performance of existing applications. 8. Continuously learn and apply new technologies to solve complex problems. Must-Have Qualifications 1. Demonstrable experience as a Python Developer, especially in web framework-based development (Django, Flask, FastAPI). 2. Proficient in developing Python packages and SDKs, with a strong understanding of the packaging ecosystem (PyPI, setuptools). 3. Solid grasp of object-oriented programming (OOP) principles and software design patterns. 4. In-depth knowledge of integrating with databases (both SQL and NoSQL) and developing data-driven applications. 5. Experience with version control tools, particularly Git. 6. Should have worked on application scaling and concurrency strategies. 7. Worked on RESTFUL & GRAPHQL services. Preferred Skills 1. Familiarity with cloud computing services (AWS, Azure, GCP) and deploying scalable applications in the cloud. 2. Knowledge of generative AI and MLOps practices. 3. Experience in testing frameworks and methodologies to ensure the reliability and performance of applications. Additional Qualifications 1. Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. 2. Strong problem-solving skills and the ability to think algorithmically. 3. Excellent verbal and written communication skills. 4. Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines. 5. Familiarity with version control tools, such as Git. Show more Show less

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems. Key Responsibilitie s:Design and develop generative AI models using techniques like RAG, transformers, and other relevant approache s.Fine-tune pre-trained LLMs for specific tasks and domain s.Conduct research on new techniques for improving the performance and capabilities of generative AI model s.Apply software engineering rigor and best practices to machine learning /Generative AI pipeline s.Evaluate and analyse the performance of ML/generative AI model s.Stay up to date on the latest advancements in generative AI researc h.Facilitate the development and deployment of proof-of-concept Generative AI system s. Qualificatio ns:Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related fie ld.3-7 years of experience in generative AI or related fiel ds.Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performan ce.Strong programming skills in Pyth on.Familiarity with RAG and other techniques for building generative mode ls.Extensive experience with Git, Docker and a good understanding of Linux for managing serve rs.Experience with cloud-based ecosystems, especially AWS ML/GenAI servic es.Exposure to ML/GenAI frameworks and too ls.Excellent communication and collaboration skil ls.Ability to work independently and in a team-oriented environme nt.Methodical and meticulous towards work and planni ng. Show more Show less

About the Role We’re looking for a skilled Data Engineer (AWS) with a strong foundation in ETL, data warehousing, and integration to join our team at goML. In this remote role, you’ll be responsible for delivering robust and scalable data solutions across multiple client projects. Key Responsibilities Lead the design and development of data solutions for various client engagements. Apply development best practices (e.g., agile methodologies, unit testing, peer reviews) to ensure quality and timely delivery. Collaborate across teams—from requirement gathering through deployment—to ensure smooth execution and handoff. Translate business requirements into technical specifications and guide development teams for accurate implementation. Create comprehensive project artifacts including solution designs, technical documentation, test plans, and deployment strategies. Drive user onboarding and change management efforts during project rollouts. Requirements 3–7 years of relevant experience, preferably in consulting or large-scale tech solution delivery. Strong understanding of ETL processes , data warehousing , and data integration . Proficient in SQL/PL SQL and database development. Experience designing scalable and flexible data solutions based on business needs. Bachelor’s or master’s in computer science, Information Systems, or related fields. Hands-on experience with backend database systems (e.g., Oracle) and/or ETL tools (e.g., Informatica). Hands on Experience in AWS. Show more Show less

Job Summary: We are hiring a Business Analyst with over 3+ years of experience, ideally in Government / PSU projects, for a contract-based onsite role in Delhi NCR. The candidate should have a proven track record in handling large-scale government initiatives and working within ISO-compliant environments. Immediate joiners only will be considered for this role. --- Key Responsibilities: Gather, analyze, and document business requirements from government stakeholders. Prepare and maintain BRD, FRS, SRS, process flows, and UAT documents as per ISO standards. Act as a liaison between client teams and internal development/testing teams. Ensure project processes adhere to ISO 9001 / ISO 27001 and applicable government standards. Conduct stakeholder meetings, requirement workshops, and presentations. Participate in client interactions, status updates, and change request discussions. Support UAT, issue tracking, and final sign-offs from clients. Maintain traceability and version control for all requirement documents. --- Required Skills & Qualifications: Bachelor’s/Master’s degree in IT, Business Administration, or related field. Minimum 3+ years of relevant experience, with hands-on experience in Govt/PSU projects. Strong understanding of public sector operations and stakeholder management. Proven experience in creating ISO-compliant documentation. Excellent communication, analytical, and stakeholder coordination skills. Tools: MS Visio, JIRA, Confluence, MS Office Suite. --- Preferred: BA Certifications (CBAP, CCBA, PMI-PBA) Knowledge of Agile/Waterfall/Hybrid models Experience in handling RFPs/RFQs or pre-sales documentation for government clients Familiarity with MeitY guidelines, NIC formats, and Digital India frameworks. Show more Show less

Job Description: We are seeking a skilled and experienced DevOps Engineer with 3+ years of hands-on expertise to join our dynamic team. The ideal candidate will be proficient in AWS services, container orchestration, CI/CD pipelines, and Infrastructure as Code (IaC). You will be responsible for designing, implementing, and maintaining scalable, secure, and efficient cloud infrastructure solutions to support development and production environments. Key Responsibilities: Design, deploy, and manage AWS infrastructure using ECS, EKS, Lambda, and other AWS services. Work with services like Bedrock and SageMaker for ML/AI infrastructure support. Implement and manage IaC using Terraform, AWS CDK, or CloudFormation. Build and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or AWS CodePipeline. Monitor and optimize cloud infrastructure for performance, cost-efficiency, and security. Collaborate with developers to ensure seamless deployment and integration. Automate infrastructure tasks using scripting languages like Python or Bash. Troubleshoot infrastructure issues and deployment failures. Apply best practices for cloud security, governance, and observability. Requirements: Minimum 3 years of DevOps engineering experience. Strong experience with core AWS services: ECS, EKS, Lambda, EC2, VPC, API Gateway, Load Balancer, S3, CloudWatch. Practical experience with Terraform, AWS CDK, or CloudFormation. Proficient in Docker and Kubernetes for containerization and orchestration. Hands-on experience with CI/CD pipelines using Jenkins, GitHub Actions, or AWS-native tools. Familiarity with scripting for automation (Python, Bash). Good understanding of cloud security principles, monitoring, and logging. Strong troubleshooting and communication skills. Preferred Certifications (a plus): AWS Certified DevOps Engineer AWS Certified Solutions Architect AWS Certified AI Practitioner Certified Kubernetes Administrator (CKA) Show more Show less

Join us in Shaping the Future of AI & Data At GoML, we are redefining how organizations leverage AI and Data to solve real-world challenges. From enterprise-scale data solutions to cutting-edge AI applications, we deliver value across industries. As part of our expansion, we are looking for an experienced Project Manager who can lead complex projects with precision, drive team excellence, and build lasting relationships with clients. Why You? Why Now? You are a proactive, organized, and people-first leader who understands the nuances of project planning, stakeholder engagement, and team management. You bring a strategic mindset backed by solid execution skills. Joining GoML now places you at the core of delivering AI & Data solutions, working with a dynamic, talented team and engaging with clients globally to shape transformative outcomes. What You'll Do (Key Responsibilities) First 30 days - Foundation & Orientation Gain a deep understanding of GoML’s service offerings, delivery processes, and technology stack. Get familiar with ongoing AI & Data projects, key customers, and internal workflows. Observe project governance practices and client engagement protocols. Start building strong relationships with team members, stakeholders, and leadership. First 60 days - Execution & Impact Lead project planning activities including scope definition, resource allocation, milestone tracking, and risk assessment. Engage regularly with customers to gather requirements, provide project updates, and ensure alignment with business objectives. Facilitate seamless communication and collaboration among internal teams (Engineering, Data Science, Product) and external stakeholders. Monitor progress, remove bottlenecks, and ensure project timelines, quality, and budget adherence. Manage sprint ceremonies, client reviews, and retrospectives. First 180 days - Ownership & Transformation Take complete ownership of multiple projects, ensuring high-quality deliverables and customer satisfaction. Strengthen stakeholder relationships through effective communication and problem-solving. Mentor and manage cross-functional teams, fostering a culture of collaboration, accountability, and continuous improvement. Implement process optimizations to enhance efficiency, scalability, and project outcomes. Actively contribute to pre-sales efforts, proposal development, and new customer onboarding when required. What You Bring (Qualifications & Skills) Must-Haves: 5+ years of experience in Project Management, preferably in AI, Data, or Software Development domains. Strong experience in project planning, execution, and delivery management. Proven ability to manage internal stakeholders, customers, and cross-functional teams. Excellent customer engagement skills – confident in leading client discussions, managing expectations, and ensuring customer success. Solid knowledge of Agile methodologies (Scrum, Kanban) and project management tools (JIRA, Zoho Projects/Sprints, or similar). Exceptional leadership, communication, and organizational skills. Familiarity with the SDLC, Data workflows, or Machine Learning lifecycle. Nice-to-Haves: Experience handling government projects or public sector clients. PMP, CSM, or Agile certifications. Exposure to cloud platforms like AWS, Azure, or GCP. Prior experience in pre-sales support, proposal writing, or solution presentations. Meet Your Hiring Manager You will be reporting to Kapil Joshi, our Delivery Head, a visionary leader who has successfully delivered 40+ complex AI & ML projects spanning Healthcare, BFSI, SaaS, and Government sectors. Kapil is known for fostering high-performing, customer-obsessed teams, and you'll have the opportunity to learn and grow under his leadership while owning strategic project deliveries. Why work With Us? Continuous Learning & Development – Certifications, workshops, and mentorship. Exciting, Impactful Projects – From startups to government, across multiple industries. Competitive Compensation & Benefits – Industry-leading salary, health insurance, performance bonuses. Collaborative Environment – Supportive team culture, hackathons, and innovation-driven events. Ready to Build the Future? Take the next step in your career and be part of shaping tomorrow’s AI & Data landscape. Apply now and join GoML’s mission to deliver excellence, innovation, and impact. Show more Show less

We are seeking a talented and experienced Frontend Developer with experience in React.js to join our dynamic team. The ideal candidate will have a solid background in front-end development with a focus on building user interfaces using React.js. As a UI/React.js Developer, you will be responsible for designing and implementing user-facing features, ensuring the technical feasibility of UI/UX designs, and collaborating with cross-functional teams to deliver high-quality software solutions. Responsibilities: Develop new user-facing features using React.js and other modern JavaScript libraries/frameworks. Build reusable components and front-end libraries for future use. Experience with server-side rendering and Node.js. Collaborate with product managers, designers, and backend developers to deliver compelling user experiences. Optimize applications for maximum speed and scalability. Ensure the technical feasibility of UI/UX designs. Participate in code reviews and provide constructive feedback to peers. Stay up-to-date with the latest trends and best practices in front-end development. Provide technical guidance and mentorship to junior developers. Lead code reviews, enforce coding standards, and ensure code quality. Troubleshoot and debug issues as they arise. Maintain code integrity and organization. Design, develop, and maintain web applications using the MERN stack. Requirements: 5+ years of professional experience in front-end development. Proficient understanding of web markup, including HTML5, CSS3. Proven experience with the MERN stack (MongoDB, Express.js, React, Node.js). Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model. Experience with React.js and its core principles. Familiarity with popular state management libraries such as Redux or MobX. Knowledge of modern authorization mechanisms, such as JSON Web Tokens. Experience with common front-end development tools such as Babel, Webpack, npm, etc. Familiarity with RESTful APIs and GraphQL. Solid understanding of responsive design principles. Excellent communication and collaboration skills. Ability to work independently and as part of a team in a fast-paced environment. Strong problem-solving skills and attention to detail. Preferred Qualifications: Knowledge of performance optimization techniques. Familiarity with testing frameworks such as Jest, Enzyme, or React Testing Library. Experience with version control systems such as Git. Join our team and contribute to the development of innovative software solutions that redefine user experiences. If you are passionate about front-end development and possess the required skills and experience, we would love to hear from you. Show more Show less

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems. We are Hiring Machine Learning Engineers at goML! Key Responsibilities: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches. Fine-tune pre-trained LLMs for specific tasks and domains. Conduct research on new techniques for improving the performance and capabilities of generative AI models. Apply software engineering rigor and best practices to machine learning /Generative AI pipelines. Evaluate and analyse the performance of ML/generative AI models. Stay up to date on the latest advancements in generative AI research. Facilitate the development and deployment of proof-of-concept Generative AI systems. Qualifications: Bachelors/Masters degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3-8 years of experience in generative AI or related fields. Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance. Strong programming skills in Python. Familiarity with RAG and other techniques for building generative models. Extensive experience with Git, Docker and a good understanding of Linux for managing servers. Experience with cloud-based ecosystems, especially AWS ML/GenAI services. Exposure to ML/GenAI frameworks and tools. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Methodical and meticulous towards work and planning.

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems. Key Responsibilities: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches. Fine-tune pre-trained LLMs for specific tasks and domains. Conduct research on new techniques for improving the performance and capabilities of generative AI models. Apply software engineering rigor and best practices to machine learning /Generative AI pipelines. Evaluate and analyse the performance of ML/generative AI models. Stay up to date on the latest advancements in generative AI research. Facilitate the development and deployment of proof-of-concept Generative AI systems. Qualifications: Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3-8 years of experience in generative AI or related fields. Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance. Strong programming skills in Python. Familiarity with RAG and other techniques for building generative models. Extensive experience with Git, Docker and a good understanding of Linux for managing servers. Experience with cloud-based ecosystems, especially AWS ML/GenAI services. Exposure to ML/GenAI frameworks and tools. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Methodical and meticulous towards work and planning. Show more Show less

We are seeking a talented and experienced Frontend Developer with experience in React.js to join our dynamic team. The ideal candidate will have a solid background in front-end development with a focus on building user interfaces using React.js. As a UI/React.js Developer, you will be responsible for designing and implementing user-facing features, ensuring the technical feasibility of UI/UX designs, and collaborating with cross-functional teams to deliver high-quality software solutions. Responsibilities: Develop new user-facing features using React.js and other modern JavaScript libraries/frameworks. Build reusable components and front-end libraries for future use. Experience with server-side rendering and Node.js. Collaborate with product managers, designers, and backend developers to deliver compelling user experiences. Optimize applications for maximum speed and scalability. Ensure the technical feasibility of UI/UX designs. Participate in code reviews and provide constructive feedback to peers. Stay up-to-date with the latest trends and best practices in front-end development. Provide technical guidance and mentorship to junior developers. Lead code reviews, enforce coding standards, and ensure code quality. Troubleshoot and debug issues as they arise. Maintain code integrity and organization. Design, develop, and maintain web applications using the MERN stack. Requirements: 3+ years of professional experience in front-end development. Proficient understanding of web markup, including HTML5, CSS3. Proven experience with the MERN stack (MongoDB, Express.js, React, Node.js). Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model. Experience with React.js and its core principles. Familiarity with popular state management libraries such as Redux or MobX. Knowledge of modern authorization mechanisms, such as JSON Web Tokens. Experience with common front-end development tools such as Babel, Webpack, npm, etc. Familiarity with RESTful APIs and GraphQL. Solid understanding of responsive design principles. Excellent communication and collaboration skills. Ability to work independently and as part of a team in a fast-paced environment. Strong problem-solving skills and attention to detail. Preferred Qualifications: Knowledge of performance optimization techniques. Familiarity with testing frameworks such as Jest, Enzyme, or React Testing Library. Experience with version control systems such as Git. Join our team and contribute to the development of innovative software solutions that redefine user experiences. If you are passionate about front-end development and possess the required skills and experience, we would love to hear from you.

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems. Key Responsibilitie s:Design and develop generative AI models using techniques like RAG, transformers, and other relevant approache s.Fine-tune pre-trained LLMs for specific tasks and domain s.Conduct research on new techniques for improving the performance and capabilities of generative AI model s.Apply software engineering rigor and best practices to machine learning /Generative AI pipeline s.Evaluate and analyse the performance of ML/generative AI model s.Stay up to date on the latest advancements in generative AI researc h.Facilitate the development and deployment of proof-of-concept Generative AI system s. Qualificatio ns:Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related fie ld.3-5 years of experience in generative AI or related fiel ds.Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performan ce.Strong programming skills in Pyth on.Familiarity with RAG and other techniques for building generative mode ls.Extensive experience with Git, Docker and a good understanding of Linux for managing serve rs.Experience with cloud-based ecosystems, especially AWS ML/GenAI servic es.Exposure to ML/GenAI frameworks and too ls.Excellent communication and collaboration skil ls.Ability to work independently and in a team-oriented environme nt.Methodical and meticulous towards work and planni ng.

Join us in Shaping the Future of AI & Data At GoML, we are redefining how organizations leverage AI and Data to solve real-world challenges. From enterprise-scale data solutions to cutting-edge AI applications, we deliver value across industries. As part of our expansion, we are looking for an experienced Project Manager who can lead complex projects with precision, drive team excellence, and build lasting relationships with clients. Why You? Why Now? You are a proactive, organized, and people-first leader who understands the nuances of project planning, stakeholder engagement, and team management. You bring a strategic mindset backed by solid execution skills. Joining GoML now places you at the core of delivering AI & Data solutions, working with a dynamic, talented team and engaging with clients globally to shape transformative outcomes. What You'll Do (Key Responsibilities) First 30 days - Foundation & Orientation Gain a deep understanding of GoML’s service offerings, delivery processes, and technology stack. Get familiar with ongoing AI & Data projects, key customers, and internal workflows. Observe project governance practices and client engagement protocols. Start building strong relationships with team members, stakeholders, and leadership. First 60 days - Execution & Impact Lead project planning activities including scope definition, resource allocation, milestone tracking, and risk assessment. Engage regularly with customers to gather requirements, provide project updates, and ensure alignment with business objectives. Facilitate seamless communication and collaboration among internal teams (Engineering, Data Science, Product) and external stakeholders. Monitor progress, remove bottlenecks, and ensure project timelines, quality, and budget adherence. Manage sprint ceremonies, client reviews, and retrospectives. First 180 days - Ownership & Transformation Take complete ownership of multiple projects, ensuring high-quality deliverables and customer satisfaction. Strengthen stakeholder relationships through effective communication and problem-solving. Mentor and manage cross-functional teams, fostering a culture of collaboration, accountability, and continuous improvement. Implement process optimizations to enhance efficiency, scalability, and project outcomes. Actively contribute to pre-sales efforts, proposal development, and new customer onboarding when required. What You Bring (Qualifications & Skills) Must-Haves: 5+ years of experience in Project Management, preferably in AI, Data, or Software Development domains. Strong experience in project planning, execution, and delivery management. Proven ability to manage internal stakeholders, customers, and cross-functional teams. Excellent customer engagement skills – confident in leading client discussions, managing expectations, and ensuring customer success. Solid knowledge of Agile methodologies (Scrum, Kanban) and project management tools (JIRA, Zoho Projects/Sprints, or similar). Exceptional leadership, communication, and organizational skills. Familiarity with the SDLC, Data workflows, or Machine Learning lifecycle. Nice-to-Haves: Experience handling government projects or public sector clients. PMP, CSM, or Agile certifications. Exposure to cloud platforms like AWS, Azure, or GCP. Prior experience in pre-sales support, proposal writing, or solution presentations. Meet Your Hiring Manager You will be reporting to Kapil Joshi, our Delivery Head , a visionary leader who has successfully delivered 40+ complex AI & ML projects spanning Healthcare, BFSI, SaaS, and Government sectors. Kapil is known for fostering high-performing, customer-obsessed teams, and you'll have the opportunity to learn and grow under his leadership while owning strategic project deliveries. Why work With Us? Continuous Learning & Development – Certifications, workshops, and mentorship. Exciting, Impactful Projects – From startups to government, across multiple industries. Competitive Compensation & Benefits – Industry-leading salary, health insurance, performance bonuses. Collaborative Environment – Supportive team culture, hackathons, and innovation-driven events. Ready to Build the Future? Take the next step in your career and be part of shaping tomorrow’s AI & Data landscape. Apply now and join GoML’s mission to deliver excellence, innovation, and impact.

Job Summary We are looking for a highly skilled Technical Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with an overall experience of 9-12 years. This role involves architecting AI/ML/GenAI-driven applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional teams. Key Responsibilities Technical Leadership & Architecture Design and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications. Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions. Lead full lifecycle development of AI/ML/GenAI solutions—from PoC to production—ensuring reliability and performance. Define and implement best practices for MLOps, DataOps, and DevOps on AWS. AI/ML & Generative AI Expertise Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan. Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications. Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines. Cloud & Infrastructure Management Architect event-driven, serverless, and microservices architectures for AI/ML applications. Ensure high availability, disaster recovery, and cost optimization in cloud deployments. Implement IAM, VPC, security best practices, and compliance. Team & Client Engagement Lead and mentor a team of ML engineers, Python Developer and Cloud Engineers. Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/GenAI-driven solutions. Conduct technical workshops, training sessions, and knowledge-sharing initiatives. Multi-Client & Business Strategy Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their business needs. Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions. Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings. Key Skills & Technologies Cloud & DevOps AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK) Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito AI/ML & GenAI LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), OpenAI, Llama ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face Vector DBs: OpenSearch, Pinecone, FAISS RAG Pipelines, Prompt Engineering, Fine-tuning Software Architecture & Scalability Serverless & Microservices Architecture API Design & GraphQL Event-Driven Systems (SNS, SQS, EventBridge, Step Functions) Performance Optimization & Auto Scali

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems. Key Responsibilities: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches. Fine-tune pre-trained LLMs for specific tasks and domains. Conduct research on new techniques for improving the performance and capabilities of generative AI models. Apply software engineering rigor and best practices to machine learning /Generative AI pipelines. Evaluate and analyse the performance of ML/generative AI models. Stay up to date on the latest advancements in generative AI research. Facilitate the development and deployment of proof-of-concept Generative AI systems. Qualifications: Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3-5 years of experience in generative AI or related fields. Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance. Strong programming skills in Python. Familiarity with RAG and other techniques for building generative models. Extensive experience with Git, Docker and a good understanding of Linux for managing servers. Experience with cloud-based ecosystems, especially AWS ML/GenAI services. Exposure to ML/GenAI frameworks and tools. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Methodical and meticulous towards work and planning

About the Role: We are looking for a skilled Java Developer with hands-on experience in Spring Boot to join our development team. You will be responsible for designing, implementing, and maintaining high-performance and scalable Java-based applications. Key Responsibilities: Design, develop, and maintain backend services using Java and Spring Boot. Build RESTful APIs and integrate with front-end and third-party services. Collaborate with cross-functional teams including DevOps, QA, and Product. Write clean, efficient, and testable code following best practices. Participate in code reviews, debugging, and optimization. Ensure performance, quality, and responsiveness of applications. Required Skills: 3+ years of hands-on Java development experience. Strong expertise in Spring Boot and related frameworks. Experience with REST APIs, Microservices architecture. Good understanding of SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB). Familiarity with tools like Maven/Gradle, Git, and CI/CD pipelines. Exposure to cloud platforms (AWS, Azure, or GCP) is a plus. Good to Have: Knowledge of Docker/Kubernetes. Experience with message brokers like Kafka or RabbitMQ. Understanding of Agile development methodologies. Education: Bachelor’s degree in Computer Science, Engineering, or related field.

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems. Key Responsibilities: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches. Fine-tune pre-trained LLMs for specific tasks and domains. Conduct research on new techniques for improving the performance and capabilities of generative AI models. Apply software engineering rigor and best practices to machine learning /Generative AI pipelines. Evaluate and analyse the performance of ML/generative AI models. Stay up to date on the latest advancements in generative AI research. Facilitate the development and deployment of proof-of-concept Generative AI systems. Qualifications: Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3-5 years of experience in generative AI or related fields. Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance. Strong programming skills in Python. Familiarity with RAG and other techniques for building generative models. Extensive experience with Git, Docker and a good understanding of Linux for managing servers. Experience with cloud-based ecosystems, especially AWS ML/GenAI services. Exposure to ML/GenAI frameworks and tools. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Methodical and meticulous towards work and planning.

Solutions Architect – GenAI, AI/ML & AWS Cloud Architect the Future of AI with goML At goML, we design and build cutting-edge Generative AI, AI/ML, and Data Engineering solutions that help businesses unlock the full potential of their data, drive intelligent automation, and create transformative AI-powered experiences. Our mission is to bridge the gap between state-of-the-art AI research and real-world enterprise applications - helping organizations innovate faster, make smarter decisions, and scale AI solutions seamlessly. We’re looking for a Solutions Architect with deep expertise in designing AI/ML and GenAI architectures on AWS. In this role, you’ll be responsible for crafting scalable, high-performance, and cost-effective AI solutions - leveraging AWS AI/ML services, modern data infrastructure, and cloud-native best practices. If you thrive in architecting intelligent, data-driven systems and love solving complex technical challenges, we’d love to hear from you! Why You? Why Now? Generative AI is reshaping industries, and businesses are looking for scalable, cost-efficient, and production-ready AI/ML solutions. This role is perfect for someone who loves solutioning AI/ML workloads, optimizing cloud infrastructure, and working directly with clients to drive real-world impact. At goML, you will: Own the architecture and solutioning of AI/ML and GenAI applications Work with sales & engineering leaders to scope customer needs & build proposals Design scalable architectures using AWS services like SageMaker, Bedrock, Lambda, and Redshift Influence high-impact AI/ML decisions while working closely with the co-founders What You’ll Do (Key Responsibilities) First 30 Days: Foundation & Orientation Deep dive into goML’s AI/ML & GenAI solutions, architecture frameworks, and customer engagements Familiarize yourself with goML and AWS partnership workflows Work alongside sales leaders to understand customer pain points & proposal workflows Review and refine best practices for deploying AI/ML workloads on AWS Start contributing to solution architectures, and lead client discussions First 60 Days: Execution & Impact Own customer AI/ML solutioning, including LLMOps, inference optimization, and MLOps pipelines Collaborate with engineering teams to develop reference architectures & POCs for AI workloads Build strategies to optimize AI/ML model deployment, GPU utilization, and cost-efficiency in AWS Assist in sizing and optimizing AWS infrastructure for AI/ML-heavy workloads Work closely with customers to translate GenAI and AI/ML requirements into scalable architectures First 180 Days: Ownership & Transformation Lead AI/ML architectural decisions for complex enterprise-scale AI projects Optimize multi-cloud and hybrid AI/ML deployments across AWS, Azure, and GCP Mentor team members on best practices for GenAI & cloud AI deployments Define long-term strategies for AI-driven data platforms, model lifecycle management, and cloud AI acceleration Represent goML in technical conferences, blogs, and AI/ML meetups What You Bring (Qualifications & Skills) Must-Have: 5-8 years of experience designing AI/ML and data-driven architectures on AWS At least 2 years of hands-on experience in GenAI, LLMOps, or advanced AI/ML workloads Deep expertise in AWS AI/ML services (SageMaker, Bedrock, Lambda, Inferentia, Trainium) Strong knowledge of AWS Data Services (S3, Redshift, Glue, Lake Formation, DynamoDB) Experience in optimizing AI/ML inference, GPU utilization, and MLOps pipelines Excellent client-facing communication skills with experience in proposal writing Nice-to-Have: Familiarity with Azure ML, GCP Vertex AI, and NVIDIA AI/ML services Experience in LangChain, RAG architectures, and multi-modal AI models Knowledge of MLOps automation, CI/CD for AI models, and scaling inference workloads Meet Your Hiring Manager You’ll report to Prashanna Hanumantha Rao, who runs practice teams, engineering, delivery, and operations for goML Expect a high-autonomy, high-impact environment, working closely with the co-founders and senior leadership to drive AI/ML innovation at goML. Why Work With Us? Remote-first, with offices in Coimbatore for in-person collaboration Work on cutting-edge GenAI & AI/ML challenges at scale Direct impact on enterprise AI solutioning & technical strategy Competitive salary, leadership growth opportunities and ESOPs down the line

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems. Key Responsibilities: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches. Fine-tune pre-trained LLMs for specific tasks and domains. Conduct research on new techniques for improving the performance and capabilities of generative AI models. Apply software engineering rigor and best practices to machine learning /Generative AI pipelines. Evaluate and analyse the performance of ML/generative AI models. Stay up to date on the latest advancements in generative AI research. Facilitate the development and deployment of proof-of-concept Generative AI systems. Qualifications: Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 5+ years of experience in generative AI or related fields. Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance. Strong programming skills in Python. Familiarity with RAG and other techniques for building generative models. Extensive experience with Git, Docker and a good understanding of Linux for managing servers. Experience with cloud-based ecosystems, especially AWS ML/GenAI services. Exposure to ML/GenAI frameworks and tools. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Methodical and meticulous towards work and planning.

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems. Key Responsibilities: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches. Fine-tune pre-trained LLMs for specific tasks and domains. Conduct research on new techniques for improving the performance and capabilities of generative AI models. Apply software engineering rigor and best practices to machine learning /Generative AI pipelines. Evaluate and analyse the performance of ML/generative AI models. Stay up to date on the latest advancements in generative AI research. Facilitate the development and deployment of proof-of-concept Generative AI systems. Qualifications: Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3-5 years of experience in generative AI or related fields. Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance. Strong programming skills in Python. Familiarity with RAG and other techniques for building generative models. Extensive experience with Git, Docker and a good understanding of Linux for managing servers. Experience with cloud-based ecosystems, especially AWS ML/GenAI services. Exposure to ML/GenAI frameworks and tools. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Methodical and meticulous towards work and planning.