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Amar Chitra Katha(ACK Alive) is launching a first of its kind learning program in the country for which we are inviting applications from interested people who would want to be a part of the team. Leo & Mike is the content, curriculum and operations partner for ACK Alive. You will be working closely with the Leo & Mike team as well as the Amar Chitra Katha team, which will be a one of a kind opportunity.

Role: Program Manager (Amar Chitra Katha Project)

Job Description

Who are we looking for?

We are looking for a Program Manager who can drive our programs across a maximum of 6 centers and ensure the seamless delivery of the programs in line with the organization’s objectives to the complete satisfaction of learners and their parents.

Duties/ Responsibilities:

The Program Manager will be responsible for 

• Effective implementation of program across 6 centers with regard to learner satisfaction,learning outcomes and parent satisfaction

• End to end training in content,learning system,operations and implementation

• Ensuring venue readiness in terms of room setup,material availability etc before the program starts and act as single point of contact for venue partner,parents and learners

• Coordinating kitting ,packing and transportation of materials to and from venues.

• Creating,Updating and maintaining a learner and parent database across all venues

• Creating schedules across venues and communicate the same to facilitators,parents,learners

• Rescheduling of classes at venues as required

• Observing the classrooms and documenting the observations for mentoring facilitators

• Conduct meetings with facilitators and teams to discuss the observations from classroom observation

• Collecting data/feedback from facilitators,learners,parents and classroom observations and loop it back to  Leo & Mike team for appropriate interventions in content and program improvement

• Initiating appropriate interventions wherever required with respect to learner and parent issues

• Managing the post sale communication to parents regarding the programs and communicating about learners to parents through the facilitators

     Requirements

• Bachelor's degree in any discipline

• Effective interpersonal and communication skills

• Sound knowledge on Project Management

• Proven experience to manage a team

• Problem Solving and troubleshooting skills

• A positive and proactive attitude

• Ability to take constructive feedback and work on it

• Proficiency in all Microsoft Office applications

     Details

• Compensation: Rs.40,000/- per month(6 month contract which may be extended)

• 1 paid leave per month

About Us       

ACK Alive (Amar Chitra Katha)

ACK Alive is a unique concept that brings alive the stories, the cultural learnings and the values that Amar Chitra Katha has always celebrated. The ACK Alive offers a wide range of learning programs to children that is rooted in Indian values and combined with modern skills to thrive in the 21st century. 

Amar Chitra Katha has been the first glimpse into our glorious heritage and culture for generations of Indians. Founded in 1967, today, Amar Chitra Katha (ACK) is a household name in India. Today, ACK is synonymous with the reinvention of quintessential Indian tales from the great epics, mythology, history, literature, oral folktales and many other sources.

Leo & Mike 

Leo & Mike is the content and curriculum partner for ACK Alive. Leo & Mike is a new-age learning company for 4 to 14 year old children. We create and facilitate after-school and summer camp programs where learning happens through interdisciplinary content, project-based activities and play. We work closely with parents, schools and other organizations with a similar mission while keeping children at the centre of everything that we do.

Role & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.

2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.

3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.

4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.

5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.

6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.

7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

• Strong Cloud Automation Architect Profile
• Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6–7 years focused continuously on hands-on infrastructure automation in enterprise environments
• Mandatory (Experience 2) – Must have expert-level Ansible engineering, including advanced Jinja2 templating, dynamic inventory, custom module development, and designing enterprise-grade playbooks, roles, and collections across AWS, Azure, VMware, and REST-integrated environments
• Mandatory (Experience 3) – Must have strong Kubernetes and Helm expertise, including custom Helm chart authoring, multi-environment lifecycle management (upgrades, rollbacks, canary releases), namespace management, RBAC, secrets, and network policies — with GitOps adoption via ArgoCD or Flux
• Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
• Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
• Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
• Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
• Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
• Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)
• Preferred (Skill 3) – Experience with AWS cost optimization automation and converting operational runbooks into self-healing diagnostic workflows

Data Engineer  

Overview 

We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ML teams, you will transform raw operational data into high-quality, governed datasets that drive intelligent decision-making. 

Our core data platform stack includes: 

Data Platform & Lakehouse 

• Databricks as the single point of truth for all data
• Realtime Data Pipelines implemented using Kafka for data ingestion.
• Databricks SQL for analytical queries 
• Unity Catalog for metadata management and governance 
• Terradata for data warehouse and business intelligence.

Stream & Event Processing 

• Apache Kafka for real-time event ingestion 
• Structured Streaming for continuous data processing 
• Delta Live Tables for declarative, quality-enforced pipelines  

Data Quality 

• Delta Live Tables expectations for data validation 
• Data profiling and anomaly detection 

Key Responsibilities 

• Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake 
• Build real-time and batch data ingestion pipelines from diverse operational systems using high-performance Kafka data pipelines.
• Implement data transformations that serve digital twin platforms and operational analytics 
• Integrate Kafka event streams with Databricks for real-time operational state updates 
• Implement data quality checks using Delta Live Tables expectations 
• Ensure data governance compliance through Unity Catalog (lineage, access control, metadata) 
• Optimize pipeline performance, reliability, and cost efficiency 
• Write clean, well-documented, and testable code following engineering best practices 
• Collaborate with ML engineers to deliver feature-engineered datasets 
• Participate in code reviews, knowledge sharing, and continuous improvement initiatives 
• Support production data systems through monitoring, troubleshooting, and incident resolution.
• Build business data warehouse solutions using Terradata for business intelligence.

Preferred Qualifications 

• 7+ years of hands-on data engineering experience 
• Track record of building and maintaining production-grade data pipelines 
• Experience with Delta Live Tables for declarative pipeline development 
• Experience working in agile, cross-functional teams 
• Familiarity with time-series data patterns and operational data modelling 

Highly Desirable 

• Experience building data pipelines for digital twin or simulation platforms 
• Familiarity with operational state modeling for real-time systems 
• Exposure to physics-informed or time-series ML feature engineering 
• Experience working with distributed, multidisciplinary teams 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time

3 to 6 years of hands-on experience in full-stack web application development

Strong proficiency in Ruby programming language

Mandatory hands-on experience with Ruby on Rails framework

Strong working experience in React.js and modern frontend development

Solid understanding and practical experience with SQL databases

Good knowledge of HTTP protocol and RESTful architecture

Experience in building scalable, secure, and maintainable web applications

Ability to write robust unit tests and ensure high code quality

Strong analytical, debugging, and problem-solving skills

Familiarity with OWASP principles and web security best practices

Experience working with CI/CD processes and automated testing

Deep understanding of software design principles

Proven ability to collaborate effectively in cross-functional teams

Key Responsibilities:

• Design AI-driven solutions for core veterinary workflows, such as patient triaging, diagnostics support, treatment plan suggestions, appointment scheduling, and client communications.
• Develop AI assistants and multi-agent systems to automate routine tasks like SOAP note summarization, clinical documentation (Medical Records), prescription and other reminders, and client follow-ups.
• Implement RAG pipelines leveraging veterinary knowledge bases, clinical case data, Case Summaries and standard care protocols.
• Integrate LLMs into practice management modules for intelligent querying, FAQ automation, and veterinary clinical knowledge support.
• develop and deploy AI services using Azure AI Services, Azure OpenAI, and integrate with Hapivet.ai
• Ensure secure, compliant, and scalable deployment of AI/ML models in line with veterinary data privacy standards and healthcare regulations.
• Collaborate with veterinarians, product managers, and software engineers to ensure AI solutions are clinically relevant, user-friendly, and impactful.

Required Skillset:

Machine Learning & Deep Learning for Healthcare

• Strong foundation in supervised/unsupervised learning, anomaly detection, and predictive analytics applicable to veterinary clinical data.
• Experience with CNNs (for imaging), RNNs/LSTMs (for sequential data like patient histories) and Transformers for natural language tasks.
• Proficiency with TensorFlow, PyTorch, and Hugging Face.
• Good to have understanding on GANs (medical imaging, data privacy-safe synthetic data, or image-based diagnostics)

LLMs & NLP for Veterinary Applications

• Deep understanding of transformer models (GPT, BERT, LLaMA) applied in medical/veterinary text summarization and knowledge extraction.
• Fine-tuning LLMs with techniques with PEFT, LoRA, QLoRA for domain-specific tasks.
• Expertise in Prompt Engineering and Chain of Thought (CoT) design for veterinary use cases.
• RAG pipeline development with veterinary case databases using Pinecone or Azure AI Search.

AI Agent Workflows & Orchestration

• Multi-agent coordination and AI workflow orchestration with LangChain, LangGraph, and Microsoft Autogen SDK.
• Experience with context management using Model Context Protocol (MCP) in clinical task flows.

Cloud AI Deployment & Engineering

• Experience with Azure AI, model serving (Triton, TensorFlow Serving, TorchServe).
• CI/CD for AI models, cloud security, and scalable API integration.

Programming & Data Engineering

• Advanced proficiency in Python, R
• working knowledge of TypeScript.
• Veterinary data processing experience—handling EMRs, patient histories, and diagnostic reports
• Data cleaning, transformation, and ensuring data quality for clinical applications.

Preferred Experience:

• AI/ML deployment in veterinary practice management systems or healthcare applications.
• Understanding of veterinary compliance, data sensitivity, and client confidentiality (e.g., pet health records, veterinary licensing).
• Exposure to veterinary-specific AI applications, such as diagnostic imaging analysis, clinical decision support systems, or client interaction bots.
• Familiarity with DeepSpeed, Megatron-LM, and scaling techniques for LLMs.

Soft Skills & Domain Understanding:

• “Passion for improving pet care and veterinary services through technology”.
• Strong communication skills for collaborating with veterinary professionals.
• Ability to translate clinical workflows into AI-enabled solutions.

Location: Pan India (Hyderabad / Chennai preferred)

Responsibilities

• Develop and maintain SOA-based process applications using JBPM.
• Define and model business processes using BPMN 2.0 on a BPM platform.
• Write clean, efficient, and maintainable code, ensuring best practices in configuration management and code refactoring.
• Collaborate with cross-functional teams to define and implement solutions to business process needs.
• Perform code reviews, troubleshoot issues, and provide innovative solutions.
• Work on UI development and integrate with backend systems.
• Deploy and maintain applications on servers like WebLogic, WebSphere, Apache Tomcat, or Jetty.
• Stay updated with new technologies and tools to improve development efficiency.

Key Requirements

• 4+ years of professional experience in building applications.
• Strong development experience with BPM engines, specifically JBPM (mandatory).
• Hands-on experience in SOA-based process applications.
• Proficient in Java, JSP, Servlets, SQL, and frameworks like Struts/Spring/Hibernate/MyBatis.
• Knowledge of HTML5, CSS, JavaScript languages.
• Familiarity with BPMN 2.0 and querying BPM APIs.
• Experience with application servers like WebLogic, WebSphere, Apache Tomcat, or Jetty.
• Strong problem-solving skills and excellent communication abilities.

.Net Core is preferred along with SQL or very strong .Net developer with SQL

The job requires the resource to do documentation, SQL support, development with .Net,integration,interaction with end user- mix of all activities

Hi All,

Greetings from LMV Group

We are hiring  Female Telecallers

Education - Any graduate fresher is eligible

Age limit - 18 TO 28 years

Experience required - Fresher 0 to 6 months is required

Languages known - Telugu, English

candidate must have good communication skills.

Job Description for Drools developer -

• Hands on experience in design and development in Drools rule engine (minimum 1.5 years) and Core Java
• Exceptional ability to communicate with both technical and non-technical people
• Expertise in object oriented programming
• Experience in Deploying and supporting core and advanced features
• Good exposure to SQL and/or Oracle/ MySQL,
• Candidate should be well verse with Agile processes
• Strong ability to work collaboratively across diverse groups of business and technical stakeholders is required.