Backend Development Lead (Python & Azure Cloud) Location: Hyderabad Job Type: Full-time Experience: 6+ years About Us: Qylis is an IT solutions company that helps businesses enhance their technology using Cloud, Data & AI, and Cyber Security. We focus on innovation and delivering high-quality digital products that make a difference. About the Role: We are looking for a Backend Development Lead with expertise in Python and Azure Cloud. This role involves leading a team of developers, building scalable applications, designing cloud-based architectures, and creating Proof of Concepts (POCs) for new technology solutions. Your Responsibilities: Lead and mentor a team of backend developers, ensuring best coding practices. Design, develop, and maintain backend systems using Python (Django/Flask/FastAPI). Build and optimize RESTful and GraphQL APIs for efficient system communication. Architect and deploy applications on Azure Cloud, leveraging services like Azure Functions, Azure App Services, Azure Kubernetes Service (AKS), and Azure DevOps. Ensure applications can handle large amounts of data and traffic efficiently. Manage and optimize databases like PostgreSQL, MongoDB, MySQL, or CosmosDB. Implement secure authentication and authorization mechanisms (OAuth, JWT, etc.). Develop and test new ideas (POCs) to evaluate the best technical solutions. Work with DevOps teams to automate deployments using CI/CD pipelines, Docker, Kubernetes, and Infrastructure as Code (Terraform, ARM templates, or Bicep). Troubleshoot, debug, and optimize system performance. What You Need: ✅ Strong experience in backend development using Python (Django, Flask, or FastAPI). ✅ Hands-on experience with Azure Cloud services (Azure Functions, App Services, AKS, CosmosDB, etc.). ✅ Experience leading a development team and managing projects. ✅ Expertise in designing and managing APIs, microservices, and event-driven architectures. ✅ Strong database experience with MongoDB, PostgreSQL, MySQL, or CosmosDB. ✅ Knowledge of DevOps practices, including CI/CD pipelines, Docker, and Kubernetes. ✅ Ability to develop Proof of Concepts (POCs) and evaluate new technology solutions. ✅ Strong problem-solving and debugging skills.

Job Description: AI/ML Engineer Location: Hyderabad, Telangana, India Experience: 3+ Years About the Team: Join our dynamic and innovative engineering team at Qylis, where we are at the forefront of leveraging Artificial Intelligence and Machine Learning to solve complex challenges and build cutting-edge solutions. We foster a collaborative and growth-oriented environment, encouraging our engineers to explore new technologies and make a significant impact. You will be working alongside talented individuals passionate about pushing the boundaries of AI/ML and delivering impactful products on the Azure cloud platform. Role Overview: We are seeking a highly motivated and experienced AI/ML Engineer to join our team. You will be responsible for designing, developing, and deploying scalable AI/ML models and GenAI applications. Your expertise in Python, web frameworks, machine learning, deep learning, and cloud technologies will be crucial in driving our AI initiatives forward. You will work closely with data scientists, software engineers, and product managers throughout the entire lifecycle of AI/ML projects, from ideation to production deployment and monitoring. Responsibilities: Design, develop, and implement machine learning and deep learning models for various applications, including but not limited to natural language processing, computer vision, predictive analytics, and recommendation systems. Develop and deploy GenAI applications leveraging large language models (LLMs) and other generative techniques. Build and maintain robust and scalable backend systems and APIs using Python frameworks such as FastAPI or Flask to serve AI/ML models and GenAI applications. Containerize applications and services using Docker and orchestrate them using Kubernetes for efficient deployment and scaling on the Azure cloud platform. Utilize Azure cloud services (e.g., Azure Machine Learning, Azure Kubernetes Service, Azure Functions, Azure Blob Storage) to build and deploy AI/ML solutions. Collaborate with data scientists to understand data requirements, perform feature engineering, and evaluate model performance. Work closely with software engineers to integrate AI/ML models and GenAI applications into existing and new products and services. Implement and maintain CI/CD pipelines for automated building, testing, and deployment of AI/ML solutions. Monitor the performance and stability of deployed models and applications, troubleshoot issues, and implement necessary optimizations. Stay up-to-date with the latest advancements in AI/ML, GenAI, and cloud technologies and evaluate their potential application within the company. Contribute to the development of best practices and standards for AI/ML development and deployment within the team. Participate in code reviews and contribute to improving the overall code quality and maintainability. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum of 3 years of professional experience in developing and deploying AI/ML solutions. Strong proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Transformers. Hands-on experience with at least one Python web framework (FastAPI or Flask) for building APIs and backend services. Solid understanding of machine learning algorithms, deep learning architectures, and GenAI concepts. Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes). Proven experience working with the Azure cloud platform and its AI/ML and container services. Familiarity with data engineering concepts and tools for data processing and preparation. Experience with CI/CD pipelines and DevOps practices. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience with MLOps practices and tools for managing the ML lifecycle. Familiarity with other cloud platforms (e.g., AWS, GCP). Experience with specific AI/ML application domains (e.g., NLP, computer vision, time series analysis). Contributions to open-source AI/ML projects. Relevant certifications in AI/ML or cloud technologies. Show more Show less

Company Description Founded in December 2023, Qylis is a tech company dedicated to empowering businesses by unlocking the full potential of their data and protecting their digital ecosystems. Our team of data scientists, cybersecurity experts, and technologists aims to deliver solutions that turn data into actionable insights and build robust defenses against cyber threats. We prioritize value over hourly billing and specialize in tailored products to expedite solutions and emphasize time-to-value. Role Description This is a full-time Sales Manager role located in New Delhi. The Sales Manager will be responsible for managing a sales team, developing sales strategies, identifying new business opportunities, and building strong relationships with clients. The role involves creating and implementing sales plans, tracking sales metrics, and meeting sales targets. Qualifications Strong leadership and team management skills Proven track record in sales and business development Excellent communication and negotiation skills Ability to build and maintain client relationships Experience in the tech industry is a plus Bachelor's degree in Business Administration, Marketing, or related field Show more Show less

What You Need ✅ Strong experience in backend development using Python (Django, Flask, or FastAPI) . ✅ Hands-on experience with Azure Cloud services (Azure Functions, App Services, AKS, CosmosDB, etc.). ✅ Experience leading a development team and managing projects. ✅ Expertise in designing and managing APIs, microservices, and event-driven architectures . ✅ Strong database experience with MongoDB, PostgreSQL, MySQL, or CosmosDB . ✅ Knowledge of DevOps practices , including CI/CD pipelines, Docker, and Kubernetes . ✅ Ability to develop Proof of Concepts (POCs) and evaluate new technology solutions. ✅ Strong problem-solving and debugging skills . Skills:- Python, FastAPI, Django, MySQL, Azure, Amazon Web Services (AWS) and React.js Show more Show less

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum of 3 years of professional experience in developing and deploying AI/ML solutions. Strong proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Transformers. Hands-on experience with at least one Python web framework (FastAPI or Flask) for building APIs and backend services. Solid understanding of machine learning algorithms, deep learning architectures, and GenAI concepts. Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes). Proven experience working with the Azure cloud platform and its AI/ML and container services. Familiarity with data engineering concepts and tools for data processing and preparation. Experience with CI/CD pipelines and DevOps practices. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Preferred Qualifications Experience with MLOps practices and tools for managing the ML lifecycle. Familiarity with other cloud platforms (e.g., AWS, GCP). Experience with specific AI/ML application domains (e.g., NLP, computer vision, time series analysis). Contributions to open-source AI/ML projects. Relevant certifications in AI/ML or cloud technologies. Skills:- Python, Large Language Models (LLM), TensorFlow, Docker, CI/CD and Natural Language Processing (NLP) Show more Show less

Job Title: Data Scientist – Data and Artificial Intelligence Location: Hyderabad Job Type: Full-time Company Description Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, and Cyber Security. We help businesses unlock the full potential of these technologies to achieve their goals and gain a competitive edge. Our unique approach focuses on delivering value through bespoke solutions tailored to customer specific needs. We are driven by a customer-centric mindset and committed to delivering continuous value through intellectual property accelerators and automation. Our team of experts is passionate about technology and dedicated to making a positive impact. We foster an environment of growth and innovation, constantly pushing the boundaries to deliver exceptional results. Website: www.qylis.com, LinkedIn: www.linkedin.com/company/qylis Job Summary We are an engineering organization collaborating directly with clients to address challenges using the latest technologies. Our focus is on joint code development with clients' engineers for cloud-based solutions, accelerating organizational progress. Working with product teams, partners, and open-source communities, we contribute to open source, striving for platform improvement. This role involves creating impactful solution patterns and open-source assets. As a team member, you'll collaborate with engineers from both teams, applying your skills and creativity to solve complex challenges and contribute to open source, while fostering professional growth. Responsibilities Researching and developing production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for global cloud business by using statistical and machine learning techniques. Manage large volumes of data, and create new and improved solutions for data collection, management, analyses, and data science model development. Drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection. Apply statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize data science model code for distributed computing platforms and task automation. Work closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning. Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance. Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models. Leads collaboration among team and leverages data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Consistently leverages knowledge of techniques to optimize analysis using algorithms. Modifies statistical analysis tools for evaluating Machine Learning models. Solves deep and challenging problems for circumstances such as when model predictions are not correct, when models do not match the training data or the design outcomes when the data is not clean when it is unclear which analyses to run, and when the process is ambiguous. Provides coaching to team members on business context, interpretation, and the implications of findings. Interprets findings and their implications for multiple businesses, and champions methodological rigour by calling attention to the limitations of knowledge wherever biases in data, methods, and analysis exist. Generates and leverages insights that inform future studies and reframe the research agenda. Informs both current business decisions by implementing and adapting supply-chain strategies through complex business intelligence. Qualifications M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field 7+ years of industry experience in developing production-grade statistical and machine learning code in a collaborative team environment. Prior experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel). Prior experience working on Computer Vision Project is an Add on Knowledge on AWS and Azure Cloud. Prior experience in time series forecasting. Prior experience with typical data management systems and tools such as SQL. Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, DataBricks or similar. Excellent analytical skills; ability to understand business needs and translate them into technical solutions, including analysis specifications and models. Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency. Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice. Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Creative thinking skills with emphasis on developing innovative methods to solve hard problems under ambiguity. Good interpersonal and communication (verbal and written) skills, including the ability to write concise and accurate technical documentation and communicate technical ideas to non-technical audiences. Skills:- Python, FastAPI, Large Language Models (LLM) tuning and MySQL Show more Show less

You are an experienced AI Application Architect responsible for leading the design and integration of AI/ML capabilities into enterprise applications. Your main objective is to architect intelligent, scalable, and reliable AI solutions that are in line with both business goals and technical strategies. You will work closely with data scientists, ML engineers, and application developers to ensure seamless end-to-end solutions. Additionally, you will be required to select and implement appropriate AI frameworks, APIs, LLMs, and infrastructure tools, as well as drive architecture decisions related to GenAI, NLP, CV, predictive analytics, and agentic AI systems. You will also establish MLOps pipelines for training, testing, and deploying models at scale while ensuring compliance with AI ethics, privacy laws, and data governance policies. Furthermore, you will evaluate emerging technologies, tools, and platforms for enterprise use and act as a technical advisor to leadership on AI opportunities and risks. In terms of required skills, you should have a strong background in AI/ML architecture and solution design, along with hands-on experience in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proficiency in LLMs and generative AI tools like OpenAI, Azure OpenAI, LangChain, and Hugging Face is necessary. A solid programming background in Python (FastAPI, Flask) and familiarity with Java/Node.js are essential. Experience with cloud platforms (AWS/GCP/Azure) and ML toolkits like SageMaker, Azure ML, and Vertex AI is also crucial. Additionally, a good understanding of microservices, REST APIs, GraphQL, and event-driven architecture is required. Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate, as well as proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools, is expected. Preferred qualifications include experience with multi-agent systems, LangChain, Autogen, or Agentic AI frameworks, familiarity with data governance, model drift detection, and performance monitoring, and prior experience in industries like BFSI, Retail, Healthcare, or Manufacturing. Education-wise, a Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field is required. Certifications in AI/ML, cloud (AWS/GCP/Azure), or MLOps are considered a plus.,

You are an experienced Accountant with 2-3 years of hands-on experience in Zoho Books and Tally, along with a strong foundation in accounting principles supported by articleship. Your primary responsibilities include managing financial records, preparing financial statements, and ensuring compliance with accounting standards. Attention to detail, excellent communication abilities, and a collaborative approach are essential in supporting the organization's financial health. Your key responsibilities will involve financial record-keeping, where you will manage daily financial transactions using Zoho Books and Tally, and maintain accurate records of invoices, receipts, and financial documents. You will also be responsible for preparing monthly, quarterly, and annual financial statements and reports, assisting in budgeting and financial forecasting, performing bank and ledger reconciliations, and ensuring compliance with accounting standards and regulations. Your required skills include proficiency in Zoho Books and Tally, along with MS Excel for data analysis and reporting. You should have a solid understanding of accounting principles and standards, attention to detail in data entry and record-keeping, and strong analytical and problem-solving skills for interpreting financial data and resolving discrepancies. Additionally, you must be able to make sound financial decisions independently. As for qualifications, you should hold a Bachelor's degree in Accounting, Finance, or a related field, with 2-3 years of experience in accounting roles, including articleship in accounting or audit firms. Certifications such as CA-Inter or certifications in accounting software (Zoho Books, Tally) would be a plus. In return, you can expect a competitive salary with performance-based incentives, health and wellness benefits, and opportunities for professional development.,