Job Title: Data Scientist (3-4 Years’ Experience) Location: Mysuru, India (On-site) Joining: Immediate About Us Enkefalos Technologies LLP is a pioneering AI company that builds cutting-edge AI solutions, leveraging LLMs, Generative AI, and advanced Machine Learning techniques. We are looking for a talented AI Engineer with 3-4 years of experience in Python, Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) to join our AI team. If you are passionate about building innovative AI solutions and want to work on cutting-edge technologies like Generative AI , LLMs (Large Language Models) , and agentic workflows , we would love to hear from you! Key Responsibilities Develop, fine-tune, and deploy Machine Learning, Deep Learning, and NLP models for various use cases. Work on Generative AI applications, including text generation, summarization, and content creation. Collaborate with cross-functional teams to understand business requirements and design AI solutions accordingly. Train, fine-tune, and optimize LLM models using custom datasets. Implement and integrate APIs, agentic workflows, and third-party AI tools to build end-to-end AI applications. Monitor, evaluate, and improve model performance using various evaluation metrics. Contribute to building AI pipelines and scalable architectures for deployment. Required Skills and Experience 3-4 years of hands-on experience in: Python programming for Machine Learning and Deep Learning. Machine Learning (ML) models such as Linear Regression, Random Forest, XGBoost, etc. Deep Learning (DL) frameworks like TensorFlow, PyTorch, HuggingFace, etc. Natural Language Processing (NLP) using transformers, BERT, GPT, etc. Generative AI (GenAI) models like GPT-4, Claude, Gemini, etc., and working with Large Language Models (LLMs). Training and fine-tuning LLMs (Large Language Models) using custom datasets. Job Type: Full-time Pay: ₹326,892.23 - ₹1,292,032.67 per year Benefits: Paid sick time Provident Fund Work from home Schedule: Day shift Fixed shift Work Location: In person
Data Architect – MS Fabric Location: Remote / Mysore Joining: Immediate Responsibilities: Lead data architecture and technical design for enterprise MS Fabric implementation. Conduct discovery workshops, define target architecture, and scope requirements. Support reporting re-development strategy and backlog creation. Finalize governance models and workspace configurations. Requirements: 10+ years of experience in data architecture and data platforms. Strong expertise in MS Fabric, Power BI architecture, Dataflows, and Security Layers. Proven experience with enterprise data strategy and cloud-native data stack (preferably Azure). Experience engaging with business and IT stakeholders. Job Type: Full-time Pay: ₹500,395.35 - ₹1,840,348.25 per year Benefits: Flexible schedule Paid sick time Provident Fund Work from home Application Question(s): Do you have hands-on experience of leading MS Fabric projects Experience: Data Engineering: 10 years (Preferred) Work Location: In person
Job Title : Azure DevOps Engineer Experience : 4 + years Location : Mysuru, Karnataka Employment Type : Full-time About the Role Required an Azure Cloud Engineer/Developer with mid-level experience. As an Azure Developer, you will be responsible for creating, managing, and deploying Azure resources, as well as setting up applications based on architectural requirements. You should have experience writing Terraform code, working with Azure DevOps, and a solid understanding of Azure networking concepts. Key Responsibilities Azure Resource Management : Design, configure, and manage Azure resources such as virtual machines, databases, networks, storage accounts, and more. Monitor, optimize, and troubleshoot Azure resources to ensure optimal performance and availability. Application Setup and Deployment : Work closely with solution architects to translate application architecture into scalable, efficient, and reliable Azure solutions. Set up and configure applications based on Azure architecture patterns. Implement, deploy, and maintain cloud-native applications. Terraform Infrastructure as Code (IaC) : Write, maintain, and deploy Terraform scripts to automate the provisioning of infrastructure resources in Azure. Ensure the infrastructure is scalable, resilient, and adheres to best practices. Azure DevOps : Set up and manage CI/CD pipelines using Azure DevOps to automate the application deployment process. Ensure proper version control, testing, and integration throughout the development lifecycle. Collaborate with other team members to ensure smooth and efficient releases. Networking Expertise : Work with Azure networking services such as Virtual Networks (VNet), Network Security Groups (NSG), Azure Firewall, Load Balancers, VPN Gateway, etc. Troubleshoot and optimize network configurations to ensure efficient communication between Azure resources. Collaboration and Communication : Collaborate with cross-functional teams, including developers, architects, and operations teams, to ensure projects are delivered on time and meet client requirements. Provide support and mentoring to junior developers when needed. Skills and Qualifications Experience & Education : Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). At least 3-5 years of experience in Azure development and cloud-based technologies. Technical Skills : Proficiency in Azure platform services (Compute, Networking, Storage, Security, etc.). Experience with Infrastructure as Code (IaC) using Terraform to automate and manage infrastructure. Hands-on experience with Azure DevOps (CI/CD pipeline creation, version control, automated testing). Strong understanding of Azure networking (VNet, NSG, VPN, etc.). Familiarity with Azure Active Directory (AAD) and identity management. Programming and Scripting : Experience with scripting languages such as PowerShell, Azure CLI, or Bash. Nice to have Knowledge of cloud-native development practices (e.g., microservices, containers, Kubernetes, etc.). Soft Skills : Excellent problem-solving and troubleshooting abilities. Strong collaboration and communication skills. Ability to work well in a team and contribute to the overall success of the project. Preferred Qualifications Ability to work independently Immediate joiners will be given top priority Microsoft Azure Certifications are a plus Should have knowledge and hand on experience deploying and managing azure solutions Knowledge of monitoring and logging tools such as Azure Monitor, Log Analytics and Application Insights. Nice to have knowledge on Prometheus & Grafana Should have hands on experience in troubleshooting azure issues. Job Type: Full-time Pay: ₹500,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Paid sick time Provident Fund Work from home Application Question(s): Do you have working knowledge / hands-on experience of Grafana, Prometheus, Terraform, ARM Templates, CLI, Power Shell, Infrastructure Setup, Security, Monitoring, Network Integration and Logic Apps ? Experience: Azure DevOps: 4 years (Required) License/Certification: Azure Certification (Preferred) Work Location: In person
Job Title : Solution Architect – Application & AI Engineering Experience : 12+ years (Minimum 8 years of hands-on experience) Location : Mysuru, Karnataka Employment Type : Full-time About the Role We are seeking an experienced and forward-thinking Solution Architect with a strong background in application engineering and AI/ML systems. The ideal candidate should have deep technical expertise and hands-on experience in architecting scalable and secure solutions across web, API, database and cloud ecosystems (AWS or Azure). You will lead end-to-end architecture design efforts—transforming business requirements into robust, scalable, and secure digital products, while ensuring modern AI-driven capabilities are leveraged where applicable. Key Responsibilities Design and deliver scalable application architectures across microservices, APIs and backend databases. Collaborate with cross-functional teams to define solution blueprints combining application engineering and AI/ML requirements. Architect and lead implementation strategies for deploying applications on AWS or Azure using services such as ECS, AKS, Lambda, API Gateway, Azure App Services, Cosmos DB, etc. Guide engineering teams in application modernization, including monolith to microservices transitions, containerization and serverless. Define and enforce best practices around security, performance, and maintainability of solutions. Integrate AI/ML solutions (e.g., inference endpoints, custom LLMs, or ML Ops pipelines) within broader enterprise applications. Evaluate and recommend third-party tools, frameworks, or platforms for optimizing application performance and AI integration. Support pre-sales activities and client engagements with architectural diagrams, PoCs, and strategy sessions. Mentor engineering teams and participate in code/design reviews when necessary. Required Skills & Experience 12+ years of total experience in software/application engineering. 8+ years of hands-on experience in designing and developing distributed applications. Strong knowledge in backend technologies like Python, Node.js, or .NET; and API-first design (REST/GraphQL). Strong understanding of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc.). Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation, etc.). Proven experience in architecting and deploying cloud-native applications on AWS and/or Azure. Experience with integrating AI/ML models into production systems, including data pipelines, model inference, and MLOps. Deep understanding of security, authentication (OAuth, JWT), and compliance in cloud-based applications. Familiarity with LLMs, NLP, or generative AI is a strong advantage. Preferred Qualifications Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert). Exposure to AI/ML platforms like Azure AI Studio, Amazon Bedrock, SageMaker, or Hugging Face. Understanding of multi-tenant architecture and SaaS platforms. Experience working in Agile/DevOps teams and with tools like Jira, Confluence, GitHub/GitLab, etc. Why Join Us? Work on innovative and enterprise-scale AI-powered applications. Influence product and architecture decisions with a long-term strategic lens. Collaborate with forward-thinking and cross-disciplinary teams. Opportunity to lead from the front and shape the engineering roadmap. Job Type: Full-time Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Benefits: Flexible schedule Paid sick time Provident Fund Work from home Application Question(s): Have you led end-to-end architecture design efforts while ensuring modern AI-driven capabilities are leveraged. Do you have hands-on experience in architecting scalable and secure solutions across web, API, database, and cloud ecosystems (AWS or Azure). Experience: Software/Application Engineering: 10 years (Required) Work Location: In person
Enkefalos Technologies LLP is a pioneering AI company that builds cutting-edge AI solutions, leveraging LLMs, Generative AI, and advanced Machine Learning techniques. Job Title : Technical Team Lead Experience : 8+ years (Minimum hands-on experience) Location : Mysuru, Karnataka Employment Type : Full-time Position Overview We are seeking an experienced Technical Team Lead with 8 – 10 years of professional experience in designing and leading large-scale web development and AI applications. The ideal candidate will have a strong background in LLM-based solutions (Claude, OpenAI, Gemini, Bedrock), application architecture, and hands-on development expertise. This role requires both technical leadership and team management, as well as strong client-facing communication skills to gather requirements and drive solutions end-to-end. Key Responsibilities i. System Architecture & Design Define and design scalable, secure, and efficient architectures for web applications and AI-driven solutions. Ensure architectural alignment with business goals and technical feasibility. Evaluate and integrate LLM-based services (Claude, OpenAI, Gemini, AWS Bedrock) into product ecosystems. ii. AI & ML Development Work with fine-tuning of small/medium language models and deep learning models. Leverage AI/ML services for intelligent automation, NLP, and document/data intelligence use cases. iii. Web & Backend Development Hands-on expertise with Django and FastAPI frameworks. Proficiency in relational and non-relational databases: PostgreSQL , MySQL , and familiarity with NoSQL . Build and maintain APIs and services to support enterprise-grade applications. iv. Cloud & Infrastructure (AWS) Hands-on experience with AWS services including Lambda, RDS, EC2, Batch, Textract, and Bedrock. Design, deploy, and maintain cloud-native applications with scalability, cost optimization, and security in mind. v. Leadership & Client Engagement Lead, mentor, and manage technical teams to deliver high-quality solutions. Collaborate with clients to understand requirements, translate them into technical designs, and oversee implementation. Ensure project timelines, deliverables and best practices are followed. Qualifications & Skills Experience: 8–10 years in software development and system architecture. Technical Expertise: Strong knowledge of LLMs, AI services, and fine-tuning workflows. Proficiency in Django, FastAPI, PostgreSQL, MySQL, and familiarity with NoSQL databases. Deep understanding of AWS cloud services (Lambda, RDS, EC2, Batch, Textract, Bedrock). Leadership: Proven ability to lead teams, manage resources, and deliver complex projects. Communication: Excellent communication and interpersonal skills for engaging with clients and stakeholders. Problem-Solving: Strong analytical and solution-oriented mindset. Nice to Have Exposure to multi-tenant architectures and enterprise SaaS platforms. Experience with CI/CD, DevOps workflows, and containerization (Docker, Kubernetes). Familiarity with security best practices and compliance standards. Job Type: Full-time Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Ability to commute/relocate: Mysore, Karnataka: Reliably commute or planning to relocate before starting work (Required) Experience: Software/Application Engineering: 8 years (Required) Work Location: In person