KYC UPDATION with CUSTOMER HANDLING

Key Responsibilities  

• Design, build, and optimize scalable data pipelines for AI/ML applications.
• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build production-ready LLM applications using Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Fine-tune open-source and foundation models using domain-specific datasets.
• Develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop APIs and AI services for production deployment.
• Collaborate with cross-functional teams to deliver scalable AI-driven solutions.
• Monitor model performance, troubleshoot production issues, and maintain technical documentation.

Required Skills  

Mandatory  

• 1–3 years of experience in Data Science, Data Engineering, or AI/ML development.
• Strong programming skills in Python and SQL.
• Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building LLM-powered applications using RAG, Prompt Engineering, and Embeddings.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, or n8n for LLM orchestration and AI workflow automation.
• Experience in LLM fine-tuning and working with Hugging Face models.
• Knowledge of MLOps concepts including model deployment, monitoring, versioning, and CI/CD.
• Experience with Git, REST APIs, Linux environments, and data processing libraries.

Preferred  

• Experience with vector databases such as Pinecone, Chroma, Milvus, or Weaviate.
• Familiarity with Docker, Kubernetes, and MLflow.
• Exposure to Apache Spark or Airflow for data engineering workflows.
• Experience with cloud platforms (AWS, Azure, or GCP).

Primary Technology Stack  

• Languages & Data Processing: Python, SQL, Pandas, NumPy, Apache Spark
• AI & Machine Learning: PyTorch, TensorFlow, Scikit-learn
• Application Frameworks: LangChain, LlamaIndex, CrewAI, n8n
• Core Methodologies: Retrieval-Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, Embeddings
• Models & Infrastructure: OpenAI APIs, Hugging Face Ecosystem, Embedding Models
• Vector Databases: Pinecone, Chroma, Milvus, Weaviate
• Databases: PostgreSQL, MongoDB
• MLOps & DevOps: Docker, Kubernetes, MLflow, CI/CD, Git
• Cloud Platforms: AWS, Azure, GCP

Experience: 1–3 Years

Domain: Data Science | Data Engineering | Machine Learning | Generative AI | MLOps

Amura’s Vision 

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.

These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. 

Role Overview 

We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.

This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability. 

Key Responsibilities 

Cloud Infrastructure & Platform Engineering (AWS) 

• Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
• Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
• Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
• Build reusable platform templates and shared infrastructure modules. 

AI/ML Infrastructure & MLOps 

• Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
• Support GPU-based workloads and optimize compute/storage usage.
• Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
• Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines. 

CI/CD, Automation & Developer Productivity 

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows.
• Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection. 

Containers, Kubernetes & Platform Reliability

• Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost-efficiency.
• Implement progressive deployment strategies including blue/green, canary, and rolling deployments. 

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
• Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

Skills & Qualifications

Must-Have:

• 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
• Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
• Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

Key Responsibilities

• Instruction & Curriculum: Designing and delivering engaging math lessons (algebra, geometry, calculus, statistics) aligned with curriculum standards.
• Assessment & Grading: Creating tests, quizzes, and assignments; grading work in a timely manner to measure student comprehension.
• Classroom Management: Maintaining a safe, productive, and structured learning environment.
• Support & Differentiation: Providing one-on-one or small group tutoring for struggling students, and modifying curriculum for diverse learning needs.
• Technology Integration: Using digital tools, smartboards, and software to enhance mathematical learning.
• Communication: Meeting with parents/guardians to discuss student progress and participating in staff meetings.

Job Description

As an Engineering & Scrum Lead, you will be leading a technology team to build a highly scalable and extensible platform that provides the foundation for collecting, storing, modelling, and analysing massive IoT data sets from multiple channels. This position thrives in a fast-paced environment and enjoys driving innovation through rapid prototyping and iterative development. You should have the ability to partner with team members who have great technical depth & analytical ability to deliver customer success.

This is a “Work from Office” role.

Desired Skillset:

• 8-12 years track record of relevant work experience
• Dynamic leader who has directly managed team of highly competent developers & analysts in a fast-paced work environment
• Experience of working with agile methodologies using tools like Jira/ Zoho Sprints
• Experience in conducting and leading daily Scrum meetings and sprint planning sessions
• Ability to roll up sleeves when required (for design, development, debugging, testing, support etc.)
• Strong communication skills – verbal & written
• Ability to work in a fast-paced start-up ecosystem
• Strong leadership skills & strong project management skills with experience of delivering high quality projects on time. Experience on relevant tools is a must.
• Experience in building, leading & managing multi-engineer projects and mentoring top-notch engineers in consulting companies
• Development and support experience in Web domain with experience on delivering high performance systems
• Architecting, developing, implementing and maintaining highly available and highly scalable systems on cloud
• Experience with database modelling and development, data mining and warehousing

Responsibilities:

Delivery

·        You would be required to own customer deliverables and ensure that the project schedules are in line with the expectations set to the customers.

·        Ensure implementation and sustenance of Agile across the organization

·        Training & handholding the teams on agile tools

People management

○ Team building

• Identify the right talent to build the team to solve customer problems
• Build a training program to help tailor the talent for project success

○ Mentorship

• Mentor & grow Engineering team to lead up the projects

Company Overview:

Our client is a global leader in AI Assisted Conversational messaging solutions, transforming the way professionals and institutions engage with customers. With cutting-edge technologies like Conversational AI and Chatbots, they have amassed 5000 customers across SMBs and Mid-market sectors, integrating seamlessly with top CRMs like Salesforce, Zoho, and Hubspot.

Position Overview:

As a rapidly growing company, we are seeking a dynamic professional to join our leadership team as a Director, Business Intelligence. In this role, you will oversee the organization's Data and information systems operations, focusing on data, tools, and analytics supporting stakeholders across Product, Sales, Marketing, Operations, and Finance.

Key Responsibilities:

- Develop and implement data architecture and management strategies.

- Establish master data management (MDM) processes for a single source of truth.

- Lead system integration aligning data systems with business goals.

- Collaborate with senior management, defining KPIs and leading data initiatives.

- Identify data trends, patterns, and insights using visualization tools.

- Evaluate, select, and manage vendors for effective service delivery.

- Implement data governance practices, including quality assurance and lifecycle management.

- Build and manage a high-performing systems and information team.

Qualifications:

- Bachelor's degree in computer science, information systems, or related field.

- 10+ years of experience in systems management, preferably in SaaS/D2C industry.

- Proficiency in data analysis methods, tools, and best practices.

- Experience with Salesforce and Power BI is essential.

- Strong problem-solving and decision-making skills.

- Knowledge of industry best practices and emerging trends.

- Demonstrated ability to lead cross-functional teams.

- Excellent communication and interpersonal skills.

Benefits:

- Competitive Salary

- Performance-Based Incentives

- Bonus Compensation

- Comprehensive Insurance Coverage

- Shift Allowance

- Emphasis on Work-Life Balance

Link to apply- https://tally.so/r/w8RpLk

About Us

At GreenStitch, we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives.

The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs.

You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitch’s mission, values, and ethical standards.

What You’ll Do:

• AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency.
• Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges.
• Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities.
• Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements, rapidly prototype solutions, and iterate on ideas for continuous improvement.
• Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact, ensuring production readiness.
• Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions.
• Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals.
• Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders.

What You’ll Bring:

• Education: Bachelors/Master’s degree in Data Science, Computer Science, AI, or a related field.
• Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning.
• Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks (TensorFlow, PyTorch), and cloud platforms (Azure, AWS, GCP).
• Software Development: Experience in Python, Java, or similar languages, and familiarity with MLOps tools.
• Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach.
• Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications.
• Collaboration & Communication: Strong ability to work with cross-functional teams, communicate complex ideas, and drive AI adoption.

Why GreenStitch?

GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will:

• Work on high-impact AI projects that contribute to sustainability and decarbonisation.
• Be part of a dynamic and collaborative team committed to making a difference.
• Enjoy a flexible, hybrid work model that supports professional growth and work-life balance.
• Receive competitive compensation and benefits, including healthcare, parental leave, and learning opportunities.

Location: Bangalore(India)

Employment Type: Full Time, Permanent

Industry Type: Climate-Tech / Fashion-Tech

Department: Data Science & Machine Learning

Join us in shaping the future of sustainable fashion with cutting-edge AI solutions! 🚀

DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.

At Least 4 Years of experience in DevOps with knowledge of:

• Docker
• Docker Cloud / Containerization
• DevOps Best Practices
• Distributed Applications
• Deployment Architecture
• Atleast AWS Experience
• Exposure to Kubernetes / Serverless Architecture

Skills:

• 3-7+ years of experience in DevOps Engineering
• Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
• Experience with Docker Swarm, Docker Compose, Docker Engine
• Experience with Provisioning and managing VM's - Virtual Machines
• Experience / strong knowledge with Network Topologies, Network Research,
• Jenkins, BitBucket, Jira
• Ansible or other Automation Configuration Management System tools
• Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
• Linux Systems Administration -: Redhat

Additional Preference:

Security, SSL configuration, Best Practices

•   10+ years of work experience in IT with 5+ years in software development or application architecture and 3+ years in solutions architecture

•   Thorough understanding of cloud native architectures, microservice architecture design patterns, containers, container orchestration, DevOps practices and security

•   Professional experience in software engineering and architecture design

•   Proven experience developing well architected AWS cloud infrastructure and solutions

•   Experience in providing technical leadership and mentoring

•   In-depth understanding of current security best practices

•   Understand business analysis techniques and processes

•   3+ years of programming experience with JavaScript and/or TypeScript

•   Strong understanding of object-oriented programming

GaragePlug, a SaaS Startup based out of Banglore, is an After-Sales Automotive Workshop Management Platform founded in 2017 by Automobile Industry experts. GaragePlug is presently trusted by hundreds of brands across 25+ countries and continues to expand across the world! We are now ready to take a long jump in 2022. To make this happen, We're looking for dynamic Customer Success/Support people to assist in various stages of the customer life cycle such as Onboarding, User Training, Support, Adoption, etc.

What Makes You The Right Fit :

• Engineering Degree
• 0-2 years experience in customer support or success roles.
• Must be able to work in the US time zone (US and Latin America markets)
• Ability to communicate with customers by email, chat, and phone.
• Excellent interpersonal, verbal, and written communication skills with the ability to take initiative and build strong relationships
• Customer-focused attitude.
• Willingness to work in a Startup.

Your Primary Responsibilities :

• You will be the first point of contact for customers via email & chat primarily, over the phone if it is required.
• Onboard new customers and help them digitalise their workflows in our software.
• Conducting training sessions for Users to ensure the right understanding of the Product
• Keeping a track of the Product adoption.
• Maintain a profitable relationship with the clients.
• Play a key role in sharing the voice of users with the rest of the team.
• Work with the product team to resolve issues, bugs, and feature requests reported by customers and to ensure that they are delivered and conveyed to customers.
• Work closely with the Quality Assurance team.
• Identify and report bugs & customer requests using JIRA.
• Owner of the Self-Help knowledgebase of GaragePlug.

Performance Parameters :

• Renewals
• Upsell, Revenue generation
• Prevention of Churn
• Maintain NPS Score
• Support Response Time

Perks for you :

• Work in fast globally growing Start-Up
• Work with industry experts
• Opportunity for international travel

Location : Bangalore.

Apply through this link
https://garageplug.freshteam.com/jobs/SENl2SzgSAVQ/customer-success-support-us-latin-america" target="_blank">https://garageplug.freshteam.com/jobs/SENl2SzgSAVQ/customer-success-support-us-latin-america