Armakuni (AWS Premier Partner), a trusted partner in helping organizations leverage cloud-native technologies to achieve agility, scalability, and resilience. Cloud-Native Transformation : Guiding businesses through adopting cloud-native practices to optimize their operationsDevOps and Platform Engineering : Building robust, secure, and scalable platforms tailored to your unique needs.Data Engineering : With our data engineering service you can transform your data into actionable business outcomeGen AI & ML : Empower Business strategy with AI-Driven growth through Gen-AI ServicesTailored Solutions: Providing expert consulting services to deliver long-term success for your teams. Get more insights about us by visiting us on our website https://www.armakuni.com/ Explore our all AWS Capabilities over here : Armakuni - Armakuni AWS Marketplace currently hiring Lead AI/ML Engineer to join our team! The following are requirements of skills set: Skills : Gen AI, LLMs, AWS Sagemaker, AWS Bedrock, MLOps-Mlflow, Kuberflow Experience : 5-8 Years Location : Ahmedabad Roles & Responsibilities : Model Development & Deployment: Design, build, and deploy machine learning models to production environments using AWS SageMaker, AWS Bedrock, and other AWS AI/ML services. Develop and deploy Generative AI applications using various LLMs. Work on data preprocessing, exploratory data analysis (EDA), feature engineering, and model training pipelines using various ML pipelines and AWS services. Implement best practices for model versioning, monitoring, and scaling in production. Collaboration & Communication Collaborate with data engineers to translate business requirements into ML models and work on data science-related problems as needed. Work with DevOps and Data Engineering teams to deploy and maintain models in production, with a strong understanding of MLOps. Present findings and progress to stakeholders, ensuring alignment with business objectives. Innovation & Improvement Continuously explore and implement new AWS AI/ML services (e.g., Amazon Rekognition, Comprehend, Lex, Polly, AWS Bedrock, and open-source LLMs) to improve existing solutions. Optimize models for performance, scalability, and cost-effectiveness in the AWS cloud environment. Documentation & Compliance: Maintain detailed documentation of model architectures, training processes, and deployment pipelines. Ensure compliance with industry standards and data privacy regulations.

Job Summary We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologies—including large language models (LLMs), computer vision, machine learning, and data science—to solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments. Key Responsibilities Leadership & Strategy Drive the technical vision and roadmap for AI/ML and Generative AI initiatives.Lead and mentor a team of AI/ML engineers and data scientists, conducting regular code reviews and guiding solution architecture.Collaborate with cross-functional stakeholders to translate business problems into scalable AI/ML solutions.Own the AI/ML lifecycle—from prototyping and experimentation to production deployment and monitoring. Generative AI & LLMs Architect and lead the development of scalable Generative AI solutions using AWS Cloud and modern frameworks.Deep experience in working with large language models (LLMs) including fine-tuning, evaluation, and deployment.Expertise in prompt engineering, agentic workflows, and custom LLM development.Proficient with Langchain, Langgraph, Langfuse, Crew AI, and other GenAI frameworks.Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications. Machine Learning & Data Science Solve complex machine learning problems using supervised, unsupervised, and deep learning methods.Lead the implementation of ML pipelines including automated data preprocessing, training, validation, and monitoring.Manage ML lifecycle using AWS SageMaker, including model versioning, drift detection, and retraining strategies.Apply advanced analytics, time series forecasting, and predictive modeling techniques. Computer Vision Design and deploy advanced computer vision models for tasks such as classification, object detection, segmentation, and image captioning. Skills & Qualifications 6+ years of experience in AI/ML, with at least 3 years in Generative AI and LLMs.Strong proficiency in Python and ML libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost.Deep understanding of LLMs including OpenAI (GPT-4, GPT-4o), Claude, Gemini, LLaMa, DeepSeek, etc.Proficiency with GenAI tooling: Langchain, Langfuse, Crew AI, LLAMA Index, Langgraph, etc.Experience working with vector databases (Pinecone, FAISS, OpenSearch, Chroma) and indexing strategies.Hands-on with deep learning frameworks such as PyTorch and TensorFlow.Strong experience with AWS services: SageMaker, Bedrock, DynamoDB, S3, Lambda, etc.Proficiency in REST API development using FastAPI, Uvicorn, Flask, Docker, and related tools.Strong database knowledge—both SQL (PostgreSQL) and NoSQL (DynamoDB).Familiarity with caching systems like Redis and Memcached.Strong communication skills and ability to lead discussions with both technical and non-technical stakeholders. Preferred Experience in leading enterprise-scale AI/ML deployments.Contributions to open-source GenAI/ML projects.Certifications in AWS AI/ML or equivalent.

We are looking for a Solutions Consultant for our Armakuni business unit. Draft pre-sales and marketing collaterals and related documents. Analyze business requirement, provide high level consultation, prepare and present solutions to customers. Drive marketing and lead-gen activities like Webinars. Roles & Responsibility:Do the web research around in the area of Cloud, DevOps, Digital engineering, Data, ML, IoT, technology trends and use cases, and offerings.Coordinate with Solution architects and tech leads to write pre-sales collaterals (Case studies, Solution blueprints, White papers etc.) and related content. Understanding the business as well as technical requirements from the Client. Provide high level consultation to the client around business problem and objective utilizing business-level understanding of cloud and application development technologies. Creating technical architecture document which after taking all the major technical requirements into considerationPreparing thorough pre-sales solutions presentation. Potentially get involved in marketing activities like webinars. Requirement:Should have 5+ years of experience as a presales business analyst.Should have excellent communication, analytical and web research skills.Strong and proven experience in pre-sales and consultation.Should have a very good knowledge of current trends in cloud and digital technology services offerings. Strong experience of writing collaterals and materials other than project requirement documents. Bachelors or masters in engineering or equivalent.Should know basics of Cloud Computing and AI

Job Summary We are seeking an experienced Solution Architect with hands-on experience in backend-heavy development, specializing in Python. The ideal candidate will have a deep understanding of backend technologies, databases, cloud infrastructure, and DevOps practices, along with a proven ability to create, implement, and document technical solutions. A strong foundation in architectural best practices, AWS cloud certification, and the ability to lead complex technical projects is essential. Key Responsibilities Architect and design scalable, reliable, and efficient backend systems using Python. Collaborate with stakeholders to understand technical requirements and develop solution architectures that meet business needs. Ensure proper documentation of all solutions, including design decisions, architectural frameworks, and implementation guidelines. Drive AWS Cloud implementation strategies, ensuring alignment with cloud best practices and standards. Optimize database architectures and query performance across relational and non-relational databases. Oversee DevOps integration within the development lifecycle, implementing CI/CD pipelines, automated deployments, and infrastructure management. Act as a technical expert, providing mentorship to development teams and ensuring that architectural best practices are followed. Work closely with cross-functional teams to ensure successful delivery of technical projects. Conduct architectural reviews and provide recommendations for performance optimization, scalability, and security. Ensure compliance with coding standards, architectural patterns, and other best practices. Participate in the complete software development lifecycle, including solution design, development, and implementation. Required Skills And Qualifications 5-7 years of hands-on experience in backend development using Python. Strong expertise in architecting and designing solutions for complex projects. Deep understanding of databases (both SQL and NoSQL) and experience with database management and optimization. Proficiency with AWS Cloud services, with an AWS certification is added advantage. Experience in DevOps practices including CI/CD pipelines, automated testing, and infrastructure management. Proven ability to document complex technical architectures, solutions, and processes. Experience in solution implementation and project execution, delivering enterprise-grade software solutions. Strong problem-solving skills and the ability to provide creative solutions to technical challenges. Excellent communication skills with the ability to collaborate with both technical and non-technical stakeholders. Strong understanding of microservices architecture and containerization (e.g., Docker, Kubernetes).

We are looking for a passionate tech lead with a diverse backend technology background to lead large engineering teams at Armakuni. You should have a good understanding of software architecture design, backend technologies, cloud platforms and have experience leading a team of developers. Role + Responsibilities: Helping project teams with solutions architecture, troubleshooting, and technical implementation assistance. Occasionally working as a software developer if the situation demandsUse your expertise in different tech-stack/languages, tech architecture etc., to drive improvements in accuracy, quality, the efficiency of projects. Oversee project teams' work and provide assistance for any troubleshooting or technical implementation guidance. Delivering training sessions and providing technical guidance to the developers, deep technical troubleshooting, etc.Ensure standards and best practices are implemented and practiced by large cross-technical teams. Person Specification And Qualifications Technical background with over 7 years dabbling into multiple technologies and grasping crux of them.Significant hands-on experience with Python. Experience in building reliable, robust, secure and high-performance in-production software systems with a large user base. Strong understanding of Cloud (Preferably AWS) and conceptual understanding of CI/CD, DevOps. Strong interpersonal skills including mentoring, coaching, collaborating, and team building.Creative approach to problem-solving with the ability to focus on details while maintaining the “big picture” viewExposure and expertise in design patterns and software design patterns in general

Job Summary: We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologies including large language models (LLMs), computer vision, machine learning, and data science to solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments. Key Responsibilities: Leadership & Strategy Drive the technical vision and roadmap for AI/ML and Generative AI initiatives. Lead and mentor a team of AI/ML engineers and data scientists, conducting regular code reviews and guiding solution architecture. Collaborate with cross-functional stakeholders to translate business problems into scalable AI/ML solutions. Own the AI/ML lifecycle from prototyping and experimentation to production deployment and monitoring. Generative AI & LLMs Architect and lead the development of scalable Generative AI solutions using AWS Cloud and modern frameworks. Deep experience in working with large language models (LLMs) including fine-tuning, evaluation, and deployment. Expertise in prompt engineering, agentic workflows, and custom LLM development. Proficient with Langchain, Langgraph, Langfuse, Crew AI, and other GenAI frameworks. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications. Machine Learning & Data Science Solve complex machine learning problems using supervised, unsupervised, and deep learning methods. Lead the implementation of ML pipelines including automated data preprocessing, training, validation, and monitoring. Manage ML lifecycle using AWS SageMaker, including model versioning, drift detection, and retraining strategies. Apply advanced analytics, time series forecasting, and predictive modeling techniques. Computer Vision Design and deploy advanced computer vision models for tasks such as classification, object detection, segmentation, and image captioning. Skills & Qualifications: 6+ years of experience in AI/ML, with at least 3 years in Generative AI and LLMs. Strong proficiency in Python and ML libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost. Deep understanding of LLMs including OpenAI (GPT-4, GPT-4o), Claude, Gemini, LLaMa, DeepSeek, etc. Proficiency with GenAI tooling: Langchain, Langfuse, Crew AI, LLAMA Index, Langgraph, etc. Experience working with vector databases (Pinecone, FAISS, OpenSearch, Chroma) and indexing strategies. Hands-on with deep learning frameworks such as PyTorch and TensorFlow. Strong experience with AWS services: SageMaker, Bedrock, DynamoDB, S3, Lambda, etc. Proficiency in REST API development using FastAPI, Uvicorn, Flask, Docker, and related tools. Strong database knowledge both SQL (PostgreSQL) and NoSQL (DynamoDB). Familiarity with caching systems like Redis and Memcached. Strong communication skills and ability to lead discussions with both technical and non-technical stakeholders. Preferred: Experience in leading enterprise-scale AI/ML deployments. Contributions to open-source GenAI/ML projects. Certifications in AWS AI/ML or equivalent.

We are looking for a Solutions Consultant for our Armakuni business unit. Write pre-sales and marketing collaterals and related documents. Analyze business requirement, provide high level consultation, prepare and present solutions to customers. Drive marketing and lead-gen activities like Webinars. Roles & Responsibility: Do the web research around in the area of Cloud, DevOps, Digital engineering, Data, ML, IoT, technology trends and use cases, and offerings. Coordinate with Solution architects and tech leads to write pre-sales collaterals (Case studies, Solution blueprints, White papers etc.) and related content. Understanding the business as well as technical requirements from the Client. Provide high level consultation to the client around business problem and objective utilizing business-level understanding of cloud and application development technologies. Creating technical architecture document which after taking all the major technical requirements into consideration Preparing thorough pre-sales solutions presentation. Potentially get involved in marketing activities like webinars. Requirement: Should have 5+ years of experience as a business analyst. Should have excellent communication, analytical and web research skills. Strong and proven experience in pre-sales and consultation. Should have a very good knowledge of current trends in cloud and digital technology services offerings. Strong experience of writing collaterals and materials other than project requirement documents. Bachelors or masters in engineering or equivalent.

We are seeking an experienced Solution Architect with hands-on experience in backend-heavy development, specializing in Python . The ideal candidate will have a deep understanding of backend technologies, databases, cloud infrastructure, and DevOps practices, along with a proven ability to create, implement, and document technical solutions. A strong foundation in architectural best practices, AWS cloud certification, and the ability to lead complex technical projects is essential. Key Responsibilities: Architect and design scalable, reliable, and efficient backend systems using Python. Collaborate with stakeholders to understand technical requirements and develop solution architectures that meet business needs. Ensure proper documentation of all solutions, including design decisions, architectural frameworks, and implementation guidelines. Drive AWS Cloud implementation strategies, ensuring alignment with cloud best practices and standards. Optimize database architectures and query performance across relational and non-relational databases. Oversee DevOps integration within the development lifecycle, implementing CI/CD pipelines, automated deployments, and infrastructure management. Act as a technical expert, providing mentorship to development teams and ensuring that architectural best practices are followed. Work closely with cross-functional teams to ensure successful delivery of technical projects. Conduct architectural reviews and provide recommendations for performance optimization, scalability, and security. Ensure compliance with coding standards, architectural patterns, and other best practices. Participate in the complete software development lifecycle, including solution design, development, and implementation. Required Skills and Qualifications: 5-7 years of hands-on experience in backend development using Python. Strong expertise in architecting and designing solutions for complex projects. Deep understanding of databases (both SQL and NoSQL) and experience with database management and optimization. Proficiency with AWS Cloud services, with an AWS certification is added advantage. Experience in DevOps practices including CI/CD pipelines, automated testing, and infrastructure management. Proven ability to document complex technical architectures, solutions, and processes. Experience in solution implementation and project execution, delivering enterprise-grade software solutions. Strong problem-solving skills and the ability to provide creative solutions to technical challenges. Excellent communication skills with the ability to collaborate with both technical and non-technical stakeholders. Strong understanding of microservices architecture and containerization (e.g., Docker, Kubernetes). Show more Show less

We are looking for a Solutions Consultant for our Armakuni business unit. Write pre-sales and marketing collaterals and related documents. Analyze business requirement, provide high level consultation, prepare and present solutions to customers. Drive marketing and lead-gen activities like Webinars. Roles & Responsibility Do the web research around in the area of Cloud, DevOps, Digital engineering, Data, ML, IoT, technology trends and use cases, and offerings. Coordinate with Solution architects and tech leads to write pre-sales collaterals (Case studies, Solution blueprints, White papers etc.) and related content. Understanding the business as well as technical requirements from the Client. Provide high level consultation to the client around business problem and objective utilizing business-level understanding of cloud and application development technologies. Creating technical architecture document which after taking all the major technical requirements into consideration Preparing thorough pre-sales solutions presentation. Potentially get involved in marketing activities like webinars. Requirement Should have 5+ years of experience as a business analyst. Should have excellent communication, analytical and web research skills. Strong and proven experience in pre-sales and consultation. Should have a very good knowledge of current trends in cloud and digital technology services offerings. Strong experience of writing collaterals and materials other than project requirement documents. Bachelors or masters in engineering or equivalent. Show more Show less

Proven experience in a Senior HR Executive or similar role. Handle end-to-end employee onboarding and exit formalities. Lead employee engagement and recognition initiatives. Familiar with performance management and continuous feedback culture. Knowledge of HR compliance, labor laws, and internal policies. Maintain HR data and reports using Excel/Google Sheets. Experienced in managing employer insurance processes. Proficient in using HRMS platforms like Keka or equivalent. Conduct clear and impactful presentations and trainings. Analyze HR metrics to drive data-backed decisions. Strong analytical, decision-making, and communication skills. Show more Show less

Proven experience in a Senior HR Executive or similar role. Handle end-to-end employee onboarding and exit formalities. Lead employee engagement and recognition initiatives. Familiar with performance management and continuous feedback culture. Knowledge of HR compliance, labor laws, and internal policies. Maintain HR data and reports using Excel/Google Sheets. Experienced in managing employer insurance processes . Proficient in using HRMS platforms like Keka or equivalent. Conduct clear and impactful presentations and trainings . Analyze HR metrics to drive data-backed decisions. Strong analytical, decision-making , and communication skills.

DataArchitecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape. DataModeling:Createand managelogical, physical, and conceptual data models to support various business applications and analytics. DatabaseDesign: Design and implement database solutions, including data warehouses, data lakes, and operational databases. DataIntegration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes. DataGovernance:Implementand enforce data governance policies and procedures to ensure data quality, consistency, and security. TechnologyEvaluation: Evaluate and recommend data management tools, technologies, and best practices to improve data infrastructure and processes. Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions. Trusted by the world s leading brands Documentation:Createand maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces. PerformanceTuning: Optimize database performance through tuning, indexing, and query optimization. Security: Ensure data security and privacy by implementing best practices for data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, CCPA) Requirements: Helpingproject teams withsolutions architecture,troubleshooting, and technical implementation assistance. Experiencewithbig data technologies (e.g., Hadoop, Spark, Kafka, Airflow). Expertisewithcloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledgeofdataintegration tools (e.g., Informatica, Talend, FiveTran, Meltano). Understandingofdatawarehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery). Experiencewithdata governanceframeworks and tools.

DataArchitecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape. DataModeling:Createand managelogical, physical, and conceptual data models to support various business applications and analytics. DatabaseDesign: Design and implement database solutions, including data warehouses, data lakes, and operational databases. DataIntegration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes. DataGovernance:Implementand enforce data governance policies and procedures to ensure data quality, consistency, and security. TechnologyEvaluation: Evaluate and recommend data management tools, technologies, and best practices to improve data infrastructure and processes. Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions. Trusted by the world’s leading brands Documentation:Createand maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces. PerformanceTuning: Optimize database performance through tuning, indexing, and query optimization. Security: Ensure data security and privacy by implementing best practices for data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, CCPA) Requirements Helpingproject teams withsolutions architecture,troubleshooting, and technical implementation assistance. Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server). Minimum7to15yearsofexperienceindataarchitecture or related roles. Experiencewithbig data technologies (e.g., Hadoop, Spark, Kafka, Airflow). Expertisewithcloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledgeofdataintegration tools (e.g., Informatica, Talend, FiveTran, Meltano). Understandingofdatawarehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery).  Experiencewithdata governanceframeworks and tools. Show more Show less

About the Role: We are looking for a hands-on AWS Data Architect OR Lead Engineer to design and implement scalable, secure, and high-performing data solutions. This is an individual contributor role where you will work closely with data engineers, analysts, and stakeholders to build modern, cloud-native data architectures across real-time and batch pipelines. Experience: 715 Years Location: Fully Remote Company: Armakuni India Key Responsibilities: Data Architecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape. Data Modeling: Create and manage logical, physical, and conceptual data models to support various business applications and analytics. Database Design: Design and implement database solutions, including data warehouses, data lakes, and operational databases. Data Integration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes. Data Governance: Implemented enforce data governance policies and procedures to ensure data quality, consistency, and security. Technology Evaluation: Evaluate and recommend data management tools, technologies, and best practices to improve data infrastructure and processes. Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions. Trusted by the worlds leading brands Documentation: Create and maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces. Performance Tuning: Optimize database performance through tuning, indexing, and query optimization. Security: Ensure data security and privacy by implementing best practices for data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, CCPA) Required Skills: Helping project teams with solutions architecture, troubleshooting, and technical implementation assistance. Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server). Minimum7to15 years of experience in data architecture or related roles. Experience with big data technologies (e.g., Hadoop, Spark, Kafka, Airflow). Expertise with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of data integration tools (e.g., Informatica, Talend, FiveTran, Meltano). Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery). Experience with data governance frameworks and tools.

About the Role: We are looking for a hands-on AWS Data Architect OR Lead Engineer to design and implement scalable, secure, and high-performing data solutions. This is an individual contributor role where you will work closely with data engineers, analysts, and stakeholders to build modern, cloud-native data architectures across real-time and batch pipelines. Experience: 7–15 Years Location: Fully Remote Company: Armakuni India Key Responsibilities: Data Architecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape. Data Modeling: Create and manage logical, physical, and conceptual data models to support various business applications and analytics. Database Design: Design and implement database solutions, including data warehouses, data lakes, and operational databases. Data Integration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes. Data Governance: Implemented enforce data governance policies and procedures to ensure data quality, consistency, and security. Technology Evaluation: Evaluate and recommend data management tools, technologies, and best practices to improve data infrastructure and processes. Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions. Trusted by the world’s leading brands Documentation: Create and maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces. Performance Tuning: Optimize database performance through tuning, indexing, and query optimization. Security: Ensure data security and privacy by implementing best practices for data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, CCPA) Required Skills: Helping project teams with solutions architecture, troubleshooting, and technical implementation assistance. Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server). Minimum7to15 years of experience in data architecture or related roles. Experience with big data technologies (e.g., Hadoop, Spark, Kafka, Airflow). Expertise with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of data integration tools (e.g., Informatica, Talend, FiveTran, Meltano). Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery).  Experience with data governance frameworks and tools. Show more Show less

Job Summary Analyses the project and decrypt it to simplest form to help the engineers build it successfully. Ability to define next steps for any requirements and execute them to get the successful closure. Roles & Responsibility Gathering and eliciting clear and definite project requirements from the Client Documentation of project requirements that includes SRS/FRS, SOW, Proposal, Diagrams, User stories document, Technical document Discussing the requirements with the technical team to clear doubts regarding requirements and mitigate risks. Interface with clients and gain an understanding of requirements/process through meeting and discussion. Lead requirements gathering/discovery phase and prepare and deliver required documentation Capturing Business Requirements in the form of Business Requirement Document (BRD) Preparing time and cost estimation and running feasibility tests on all projects. Making wireframes using latest wireframing tools and building clickable prototype Prepare solution presentation for key accounts that can help sales team in successful closure Requirement Require Candidate with Good Communication / Analytical Skills Should be detail oriented and capable of solving problems arising at work. Should be well updated on the current trends and technologies in AIML and Data Engineering as well as various cloud services Should be BE/ B.Tech in computer engineering Should have knowledge of SDLC Life Cycle and high level of understanding of the tools used during this cycle A multitask professional with good analytical and logical skills, possesses good experience in Business Analysis & Consulting in multiple domains

Job Summary: We are seeking an experienced Solution Architect with hands-on experience in backend-heavy development, specializing in Python. The ideal candidate will have a deep understanding of backend technologies, databases, cloud infrastructure, and DevOps practices, along with a proven ability to create, implement, and document technical solutions. A strong foundation in architectural best practices, AWS cloud certification, and the ability to lead complex technical projects is essential. Key Responsibilities: Architect and design scalable, reliable, and efficient backend systems using Python. Collaborate with stakeholders to understand technical requirements and develop solution architectures that meet business needs. Ensure proper documentation of all solutions, including design decisions, architectural frameworks, and implementation guidelines. Drive AWS Cloud implementation strategies, ensuring alignment with cloud best practices and standards. Optimize database architectures and query performance across relational and non-relational databases. Oversee DevOps integration within the development lifecycle, implementing CI/CD pipelines, automated deployments, and infrastructure management. Act as a technical expert, providing mentorship to development teams and ensuring that architectural best practices are followed. Work closely with cross-functional teams to ensure successful delivery of technical projects. Conduct architectural reviews and provide recommendations for performance optimization, scalability, and security. Ensure compliance with coding standards, architectural patterns, and other best practices. Participate in the complete software development lifecycle, including solution design, development, and implementation. Required Skills and Qualifications: 5-7 years of hands-on experience in backend development using Python. Strong expertise in architecting and designing solutions for complex projects. Deep understanding of databases (both SQL and NoSQL) and experience with database management and optimization. Proficiency with AWS Cloud services, with an AWS certification is added advantage. Experience in DevOps practices including CI/CD pipelines, automated testing, and infrastructure management. Proven ability to document complex technical architectures, solutions, and processes. Experience in solution implementation and project execution, delivering enterprise-grade software solutions. Strong problem-solving skills and the ability to provide creative solutions to technical challenges. Excellent communication skills with the ability to collaborate with both technical and non-technical stakeholders. Strong understanding of microservices architecture and containerization (e.g., Docker, Kubernetes).

We are seeking Senior Python Developers with 3+ years of experience in implementing, deploying, and scaling AI/ML solutions. Key Responsibilities: Collaborate with clients and project teams to understand business requirements, create solutions, and develop efficient, high-quality code that meets or exceeds client expectations. Optimize application performance across multiple delivery platforms, including AWS, Azure, and GCP. Design and implement low-latency, high-availability, and high-performance applications using Django, Flask, or FastAPI. Lead the integration of front-end user interface elements with server-side logic. Integrate multiple data sources and databases into a unified system while ensuring proper data storage and third-party library integration. Create scalable and optimized database schemas tailored to business logic. Handle large datasets from databases or via HTTP(S)/WebSockets. Conduct thorough testing using pytest and unittest, and perform debugging to ensure applications run smoothly. Provide mentorship and guidance to junior developers. Communicate effectively with clients regarding project updates and technical solutions. Skills & Qualifications: 3+ years of experience as a Python developer with strong client communication and team leadership skills. In-depth knowledge of Python frameworks such as Django, Flask, and FastAPI. Strong understanding of cloud technologies, including AWS, Azure, and GCP. Deep understanding of microservices and multi-tenant architecture. Familiarity with serverless computing (AWS Lambda, Azure Functions). Experience with deployment using Docker, Nginx, Gunicorn, and Uvicorn. Hands-on experience with SQL and NoSQL databases such as PostgreSQL and AWS DynamoDB. Strong understanding of coding design patterns and SOLID principles. Experience with Object-Relational Mappers (ORMs) such as SQLAlchemy and Django ORM. Ability to handle multiple API integrations and write modular, reusable code. Experience with front-end technologies such as React, Vue, and HTML/CSS/JS (preferred). Proficiency in authentication and authorization mechanisms across multiple systems. Understanding of scalable application design principles and event-driven programming. Strong skills in unit testing, debugging, and code optimization. Experience with Agile/Scrum methodologies. Familiarity with container orchestration tools like Kubernetes. Understanding of data processing frameworks like Apache Kafka and Spark (preferred). Experience with CI/CD pipelines and automation tools like Jenkins, GitLab CI, or CircleCI.

Lead and manage a team of IT professionals, including system administrators, network engineers and support staff. Collaborate with internal stakeholders to understand their technology needs and provide solutions accordingly. Ensure the security, reliability, and performance of the company's IT infrastructure. Develop and implement IT strategies and policies that support the company's business objectives. Manage the IT resources and allocat them to ensure efficient use of resources. Stay current with industry trends and best practices in IT infrastructure management. Oversee the installation, configuration, and maintenance of hardware and software systems. Ensure compliance with regulatory requirements and industry standards. Should have involved in ISO/SOC audit process. Must have experience with INFOSEC tools. Develop and maintain relationships with vendors and service providers.Qualifications: Bachelor's degree, Certification in IT Infra and Securities. Overall 9+ years of experience in IT infrastructure management, preferably in a IT company. 3+ years of experience in IT company as a Manager or higher position. Strong leadership and management skills Excellent communication and interpersonal skills In-depth knowledge of Windows, Linux and MAC OS knowledge, network infrastructure, ITSM tools and security practices. Experience with virtualization technology. Ability to prioritize and manage multiple task simultaneously. Certification in relevant technology areas (, Cisco, Microsoft, VMware) is a plus