1936 Preprocessing Jobs - Page 9

Sr./RPA Developer EXPERIENCE REQUIRED: 4+ Years NUMBER OF POSITIONS: 17 DEPARTMENT: Information Systems REPORTS TO: Manager – RPA LOCATION: Gurugram, India ESSENTIAL DUTIES AND RESPONSIBILITIES: — Design, develop, and deploy generative AI models. — Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. — Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. — Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. — Conducting data analysis, preprocessing, and modelling to extract valuable insights and drive data-driven decision-making. — Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings. — Demonstrating a strong understanding of cloud platforms for deploying AI applications. SUPERVISORY RESPONSIBILITIES: This position does not have supervisory responsibilities. LANGUAGE REQUIREMENTS Required English Ability Level Business Fluent Required Hindi Ability Level Business Fluent QUALIFICATIONS: — Experience with one or more RPA technologies (e.g. UiPath, Automation Anywhere and Blue Prism. — Candidates would have experience with DU (Document Understanding) OR DA (Document Automation). — Utilizing NLP techniques, Lang Chain, and LLM’s to develop conversational chatbots and language models tailored to our clients’ needs. EDUCATION: Bachelor’s degree in relevant field LANGUAGE SKILLS: Ability to read, analyze and interpret the most complex documents. Ability to respond effectively to the most sensitive inquiries or complaints. Ability to write emails, speeches and articles using original or innovative techniques or style. Ability to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public groups and clients. MATHEMATICAL SKILLS: Ability to choose the right mathematical methods or formulas to solve a problem. Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals quickly and correctly. REASONING ABILITY: Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. CERTIFICATES, LICENSES, REGISTRATION: Candidates with quality related certification/licenses will be preferred. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, and walk. Hearing and speaking to exchange information in person and on the phone. Seeing to read and write, exchange emails, conduct work, and prepare documents and reports. Minimal to light physical effort is generally required in performing duties in an office environment. This position requires the ability to operate a computer keyboard and standard office equipment at efficient speed. The employee frequently is required to reach with hands and arms and stoop, kneel, crouch or crawl. The employee is occasionally required to climb or balance. The employees must occasionally be required to lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the noise level in the work environment is usually quiet to moderate. DISCLAIMER: The information in this job description is designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this position and may be changed at the company’s discretion to conform to business needs. ABOUT THE COMPANY: AIS is a Texas-based fintech firm committed to lowering operating costs, improving quality and reducing cycle time with back-office automation, highly skilled talent and standardized reporting and analytics solutions. AIS manages the day-to-day work so our clients can focus on growing their business. We review client processes, eliminate non-value adds, and enhance productivity. We build financial and legal technology to automate and optimize workforce performance. We recruit, train, and manage specialized human resources to meet staff augmentation needs. We equip decision makers with deep data sets and forward-thinking analytics so they can make smarter business decisions and create better customer experiences. We serve a variety of industries including banking, automotive finance, credit card, mortgage, insurance and telecommunications.

Posted on 23.07.2025 What’s important to us: Techversant is seeking experienced Data Scientist Engineers who will be responsible for developing and driving new business opportunities internationally. The incumbent will be responsible for discovering sales opportunities and creating qualified leads. Job Description Key Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out the preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Required Skills Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra) – understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience. Strong Software Engineering Background Hands-on experience with data science tools Problem-solving aptitude Analytical mind and great business sense Degree in Computer Science, Engineering or relevant field is preferred Proven Experience as Data Analyst or Data Scientist What Company Offers: Excellent career growth opportunities and exposure to multiple technologies. Fixed weekday day schedule, meaning, you’ll have your weekends off! Family Medical Insurance. Unique leave benefits and encashment options based on performance. Long term growth opportunities. Fun family environment surrounded by experienced developers. Various internal employee rewards programs based on Performance. Opportunities for various other Bonus programs – for training hours taken, certifications, special value to business through idea and innovation. Work life Balance – flexible work timings, early out Fridays, various social and cultural activities etc. Company Sponsored International Tours. Email to careers@techversantinfotech.com

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior - Full Stack We are seeking a Senior Conversational Developer with extensive experience in designing and implementing complex solutions on Python, data engineering, JavaScript, ReactJS and node.JS. The ideal candidate should also have experience in conversational AI including leveraging Generative AI for developing chatbot solutions. Key Responsibilities: Lead the design, development, and deployment of applications. Write custom JavaScript code and integration with backend services. Collaborate with stakeholders to gather requirements and meet business needs. Test, debug, and refine to ensure optimal performance and user experience. Provide mentorship and code reviews for junior developers. Qualifications: Requires 3-5 years minimum prior relevant experience Bachelor's degree in computer science, Information Technology, or related field. Minimum of 5 – 8 years of experience in chatbot development. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills: Strong skills in Python, JavaScript framework / related web technologies server-side programming such as node.JS and Azure cloud. Familiarity with API design and development, including RESTful APIs and web services. Experience with databases, including relational and understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Familiarity with NLP and ML applications in chatbots, feature extraction, entity extraction, intent classification etc. Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving, analytical and project management skills Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Title: AI/ML Engineer Job Summary We are seeking a talented and passionate AI/ML Engineer with at least 3 years of experience to join our growing data science and machine learning team. The ideal candidate will have hands-on experience in building and deploying machine learning models, data preprocessing, and working with real-world datasets. You will collaborate with cross-functional teams to develop intelligent systems that drive business value. Key Responsibilities ● Design, develop, and deploy machine learning models for various business use cases. ● Analyze large and complex datasets to extract meaningful insights. ● Implement data preprocessing, feature engineering, and model evaluation pipelines. ● Work with product and engineering teams to integrate ML models into production environments. ● Conduct research to stay up to date with the latest ML and AI trends and technologies. ● Monitor and improve model performance over time. Required Qualifications ● Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. ● Minimum 3 years of hands-on experience in building and deploying machine learning models. ● Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost. ● Experience with training, fine-tuning, and evaluating ML models in real-world applications. ● Proficiency in Large Language Models (LLMs) – including experience using or fine-tuning models like BERT, GPT, LLaMA, or open-source transformers. ● Experience with model deployment, serving ML models via REST APIs or microservices using frameworks like FastAPI, Flask, or TorchServe. ● Familiarity with model lifecycle management tools such as MLflow, Weights & Biases, or Kubeflow. ● Understanding of cloud-based ML infrastructure (AWS SageMaker, Google Vertex AI, Azure ML, etc.). ● Ability to work with large-scale datasets, perform feature engineering, and optimize model performance. ● Strong communication skills and the ability to work collaboratively in cross-functional teams. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,500,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Ai/ML: 2 years (Preferred) Work Location: In person

About the Role: We are looking for a passionate and driven AI/ML Developer with 0–1 year of experience to join our growing technology team. This is an excellent opportunity for someone with internship or training experience in AI/ML to work on real-world projects and continue building a career in artificial intelligence and machine learning. Roles & Responsibilities: Work on AI, Machine Learning, and Deep Learning projects with real-time data and systems. Build and train ML models using libraries like TensorFlow, PyTorch, and Scikit-learn . Assist in deploying ML models and integrating them with web applications. Collaborate with front-end and back-end teams to support application development. Work with RESTful APIs to integrate AI services into existing platforms. Assist in data preprocessing, model evaluation, and performance tuning. Keep up with the latest research and trends in the AI/ML domain. Participate in code reviews, sprint planning, and team meetings. Required Skills & Qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Hands-on internship or training experience in AI/ML/Deep Learning is mandatory . Solid programming skills in Python . Familiar with ML/DL frameworks like TensorFlow, PyTorch , and Scikit-learn . Basic knowledge of HTML, CSS, and JavaScript for web integration. Exposure to React, Angular, or Vue.js is a plus . Understanding of REST APIs , model deployment, and web integration. Familiarity with SQL/NoSQL databases and cloud platforms like AWS, Azure, or GCP is desirable. Strong analytical, problem-solving, and communication skills. Ability to work in a collaborative team environment. Job Type: Full-time Pay: Up to ₹20,000.00 per month Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Have you completed an internship or formal training in AI/ML or Data Science? Which machine learning frameworks or libraries have you used? Experience: AI/ML: 1 year (Preferred) Python: 1 year (Preferred) Work Location: In person

We are looking for a highly skilled and experienced Machine Learning / AI Engineer to join our team at Zenardy. The ideal candidate needs to have a proven track record of building, deploying, and optimizing machine learning models in real-world applications. You will be responsible for designing scalable ML systems, collaborating with cross-functional teams, and driving innovation through AI-powered solutions. Key Responsibilities: Design, develop, and deploy machine learning models to solve complex business problems. Work across the full ML lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring. Collaborate with data engineers, product managers, and software engineers to integrate ML models into production systems. Conduct research and stay up-to-date with the latest ML/AI advancements, applying them where appropriate. Optimize models for performance, scalability, and robustness. Document methodologies, experiments, and findings clearly for both technical and non-technical audiences. Mentor junior ML engineers or data scientists as needed. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field (Ph.D. is a plus). Minimum of 5 hands-on ML/AI projects, preferably in production or with real-world datasets. Proficiency in Python and ML libraries/frameworks like TensorFlow, PyTorch, Scikit-learn, XGBoost. Solid understanding of core ML concepts: supervised/unsupervised learning, neural networks, NLP, computer vision, etc. Experience with model deployment using APIs, containers (Docker), cloud platforms (AWS/GCP/Azure). Strong data manipulation and analysis skills using Pandas, NumPy, and SQL. Knowledge of software engineering best practices: version control (Git), CI/CD, unit testing. Preferred Skills: Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.). Familiarity with big data technologies like Spark, Hadoop, or distributed training frameworks. Experience working in Fintech environments would be a plus. Strong problem-solving mindset with excellent communication skills. Experience in working with vector database. Understanding of RAG vs Fine-tuning vs Prompt Engineering. Why Join Us: Work on impactful, real-world AI challenges. Collaborate with a passionate and innovative team. Opportunities for career advancement and learning. Flexible work environment (remote/hybrid options). Competitive compensation and benefits. Job Category: Machine Learning Job Type: Full Time Job Location: Chennai

Job Title: Python Developer – AI/ML & LLM Application Development Experience: 2–4 Years Location: Shollinganallur, Chennai Employment Type: Full-Time Job Summary: We are looking for a skilled Python Developer with 2–4 years of experience who is passionate about LLM (Large Language Model) applications , API development , and Machine Learning . The ideal candidate should have a strong foundation in Python, experience working with modern AI/ML frameworks, and a solid understanding of LLM architecture and deployment. You will be involved in building intelligent systems leveraging cutting-edge tools like LangChain , Hugging Face , and vector databases , and contribute to full-cycle development from design to deployment. Key Responsibilities: Programming & Development Write clean, modular, and well-documented Python code using OOP principles . Manage version control using Git , GitHub, or GitLab. Perform unit testing , debugging, and maintain high code quality and documentation. API & Backend Development Build and maintain REST APIs using Django and Flask . Integrate external APIs including OpenAI , Anthropic , and open-source model APIs . LLM Application Development Develop Retrieval-Augmented Generation (RAG) systems. Work with vector databases like Pinecone , Weaviate , or Chroma . Build and scale LLM apps using LangChain and LlamaIndex . Design and implement prompt engineering strategies and few-shot learning setups. Machine Learning & Deep Learning Apply ML algorithms using Scikit-learn , XGBoost , LightGBM , etc. Handle data preprocessing, feature engineering, and model evaluation. Build deep learning models using PyTorch (preferred) or TensorFlow/Keras . Implement neural architectures like CNNs , RNNs , Transformers , and optimize using backpropagation and regularization techniques. LLM & NLP Integration Work with LLM architectures like GPT , BERT , and LLaMA . Use the Hugging Face Transformers library and tokenizers. Perform LoRA/QLoRA fine-tuning and experiment with open-source model deployments. Required Skills & Qualifications: 2–4 years of hands-on experience in Python development . Experience in REST API development using Django/Flask. Strong knowledge of OOP , version control systems, and debugging techniques. Familiarity with LangChain , LlamaIndex , and vector stores . Practical experience in machine learning model development and deployment. Working knowledge of LLM concepts , Hugging Face, and prompt engineering. Exposure to GPU computing and CUDA basics is a plus. Nice to Have: Experience deploying ML models on cloud platforms (AWS/GCP/Azure). Knowledge of CI/CD pipelines for ML systems. Open-source contributions or AI research exposure. Job Type: Full-time Pay: ₹10,393.72 - ₹30,000.00 per month Schedule: Monday to Friday Work Location: In person

Location: Coimbatore Job Type: Full-time Salary Range: Starts from 15k Role Overview As an AI Engineer , you will design, develop, and deploy AI models that enhance our products and services. You will work closely with data scientists, software engineers, and product teams to build scalable AI-powered applications. Responsibilities Design, develop, and optimize machine learning and deep learning models for real-world applications. Collaborate with data scientists to transform prototypes into production-ready AI systems. Work with large datasets to train, validate, and fine-tune AI models. Integrate AI models into scalable cloud or on-premise architectures. Develop APIs and pipelines for deploying AI solutions in production. Optimize AI algorithms for efficiency, accuracy, and performance. Stay up to date with the latest advancements in AI and recommend improvements. Troubleshoot and improve existing AI models and systems. Requirements Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn) or similar AI frameworks. Experience with machine learning algorithms, deep learning, NLP, or computer vision . Proficiency in data preprocessing, feature engineering, and model evaluation . Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps, CI/CD pipelines, and model deployment . Knowledge of SQL and NoSQL databases for handling large datasets. Strong problem-solving skills and ability to work in a collaborative environment. Nice to Have Experience with LLMs (Large Language Models) and Generative AI . Knowledge of big data technologies (Spark, Hadoop). Experience with Edge AI or real-time AI applications . Contributions to open-source AI projects or published research papers. Job Type: Full-time Pay: ₹15,000.00 - ₹18,000.00 per month Ability to commute/relocate: Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Your current CTC Work Location: In person

Job title Senior Software Engineer - AI ML , Ahmedabad, India Ref # 223912 Location India - Ahmedabad Job family Corporate & Commercial Closing date: 07-Aug-2025 We are looking for a Senior Software Engineer with exceptional expertise in the latest .NET technologies and strong exposure to AI. You will develop, and deploy AI-driven solutions, build intelligent applications, and accelerate our GenAI roadmap Key Responsibilities: Develop, and optimize AI and GenAI solutions. Integrate and utilize frameworks such as Semantic Kernel, Autogen, ML.NET for GenAI workflows. Work with product and data teams to translate requirements into robust, scalable .NET applications with advanced AI capabilities. Implement and consume GenAI APIs and LLMs for tasks like language modeling, chatbots, and intelligent document processing. Develop the end-to-end lifecycle: data ingestion, preprocessing, model selection, deployment, and monitoring. Ensure solutions meet standards for performance, security, and maintainability. Be part of an extraordinary story: Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible. Qualifications Proven hands-on experience in developing enterprise-scale applications using .NET (C#), including ASP.NET Core, Web API, and RDBMS-driven solutions. Advanced proficiency in designing and implementing modern software architecture, with strong knowledge of RESTful APIs and microservices patterns within the .NET ecosystem. Deep understanding of Entity Framework Core, LINQ, advanced C# features (async/await, generics, dependency injection), and integration with middleware. Experience with .NET-specific DevOps tools, including Azure DevOps (CI/CD pipelines), version control (e.g., Git) Experience designing and consuming APIs with OpenAPI/Swagger standards. Experience with containerization of .NET applications using Docker and orchestration via Kubernetes (AKS). Familiarity with agentic and orchestration frameworks such as Microsoft Semantic Kernel and Autogen in .NET workflows. Exposure to full-stack development, including front-end technologies like Angular (with ASP.NET Core backends). Experience integrating or migrating to cloud-native services in Azure (App Service, Functions, Cosmos DB, Azure SQL) and GCP (Cloud SQL, GKE, Cloud Functions). Working knowledge of NoSQL technologies (Cosmos DB, MongoDB) as part of hybrid .NET architectures. Understanding of identity and access management in .NET, including Azure AD, RBAC, and security best practices. Exposure to cross-platform UI development using web components About Qatar Airways Group: Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. How to apply: If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form. About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&job=223912

Job title Technical Lead - AI / ML , Ahmedabad - India Ref # 223895 Location India - Ahmedabad Job family Corporate & Commercial Closing date: 07-Aug-2025 We are seeking a highly skilled Technical Lead (AI) who excels in designing, developing, and delivering AI-powered solutions using the latest .NET technologies and GenAI frameworks. You will act as the technical anchor of an agile AI engineering team, guiding solution architecture, enforcing best coding practices, and ensuring robust, scalable, and maintainable delivery across the .NET and GenAI landscape. You will collaborate closely with architects, product owners, and cross-functional teams to shape technical vision, solve complex problems, and accelerate our journey in AI innovation. Key Responsibilities: Lead the design and development of advanced AI/GenAI features using .NET technologies (C#, ASP.NET Core, Web API). Own the technical delivery of GenAI projects by hands-on development, code reviews, and troubleshooting. Architect and integrate solutions with Microsoft-deployed AI frameworks ( Semantic Kernel, Autogen, ML.NET ). Guide end-to-end implementation: data acquisition, preprocessing, modeling, deployment, and monitoring—all within .NET. Collaborate with product and engineering managers to ensure technical feasibility and high-quality business solutions. Drive adoption of DevOps/MLOps best practices (Azure DevOps CI/CD, Git, automated testing). Mentor engineers, conduct knowledge-sharing sessions, and champion continuous learning in AI and .NET advancements. Champion code quality, security, performance optimizations, and documentation across the delivery lifecycle. Participate in architecture discussions, technical evaluation of tools/frameworks, and risk assessments. Ensure cloud-native, secure, and scalable deployments—primarily in Azure/GCP environments. Be part of an extraordinary story Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible Qualifications 7+ years of software engineering experience, with significant exposure to enterprise .NET (C#) development. Deep hands-on expertise in ASP.NET Core, Web API, and RDBMS technologies (SQL Server, Azure SQL). Advanced proficiency in software architecture, REST APIs, microservices, and cloud-native design. Excellent command of Entity Framework Core, LINQ, async/await, dependency injection, and middleware. Experience with DevOps workflows (Azure DevOps CI/CD, Git), and automated testing practices. Exposure to containerization (Docker) and orchestration (Kubernetes/AKS). Experience leading small- to mid-size technical teams, including mentoring and code reviews. Strong problem-solving skills and ability to translate business goals into scalable technical solutions. Good communication and stakeholder management skills. Desired Skills: Hands-on with Azure Cognitive Services, OpenAI’s .NET SDK, and productionizing GenAI/LLM workflows. Familiarity with agent orchestration and pipeline frameworks in .NET (Semantic Kernel, Autogen, etc.). Cloud services integration: Azure App Service, Functions, Cosmos DB, GCP Cloud Functions/SQL. Working knowledge of NoSQL databases (Cosmos DB, MongoDB). Front-end collaboration with Angular (paired with ASP.NET Core backends). Security expertise: Azure AD, RBAC, API security and compliance. About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&job=223895

Position - 02 Job Location - Ahmedabad Qualification - Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field, Relevant certifications or course completion (Coursera, edX, etc.) will be an advantage Years of Exp - 0 to 1 year About us Bytes Technolab is a full-range web application Development Company, establishedin the year 2011, having international presence in the USA and Australia and India. Bytes exhibiting excellent craftsmanship in innovative web development, eCommerce solutions, and mobile application development services ever since its inception. Roles & responsibilities Support development and fine-tuning of Large Language Models (LLMs) using open-source or proprietary models (e.g., OpenAI, HuggingFace, LLaMA). Build and optimize Computer Vision pipelines for tasks such as object detection, image classification, and OCR. Design and implement data preprocessing pipelines, including handling structured and unstructured data. Assist in training, evaluation, and deployment of ML/DL models in staging or production environments. Write clean, scalable, and well-documented code for research and experimentation purposes. Collaborate with senior data scientists, ML engineers, and product teams on AI projects. Skills required Strong foundation in Neural Networks, Deep Learning, and ML algorithms. Hands-on experience with Python and libraries such as TensorFlow, PyTorch, OpenCV, or HuggingFace Transformers. Familiarity with LLM architectures (e.g., GPT, BERT, LLaMA) and their fine-tuning or inference techniques. Basic understanding of Computer Vision concepts and real-world use cases. Experience working with data pipelines and handling large datasets (e.g., Pandas, NumPy, data loaders). Knowledge of model evaluation techniques and metrics. Good to Have Experience using Hugging Face, LangChain, OpenCV, or YOLO for CV tasks. Familiarity with Prompt Engineering and Retrieval-Augmented Generation (RAG). Understanding of NLP concepts such as tokenization, embeddings, and vector search. Exposure to ML model deployment (Flask, FastAPI, Streamlit, or AWS/GCP/Azure). Participation in ML competitions (e.g., Kaggle) or personal projects on GitHub. Soft Skills Strong analytical and problem-solving skills. Willingness to learn and work in a collaborative team environment. Good communication and documentation habits.

1. Over 16+ years of IT experience, including hands-on application development and leadership in designing and implementing AI/ML and GenAI solutions with Python 2. Design and implement scalable microservices and APIs using Azure Functions, Azure API Management, Azure App Services, and Azure Kubernetes Service (AKS). 3. Develop modern, responsive frontend applications using React, integrating seamlessly with backend APIs and cloud services. 4. Build and maintain Python-based AI/ML pipelines, including data preprocessing, model training, evaluation, and deployment 5. Provide thought leadership and strategic guidance on innovative technology solutions, working closely with client stakeholders and overseeing technical implementation across distributed teams. 6. Implement DevOps practices using Azure DevOps, including CI/CD pipelines, infrastructure as code 7. Ensure solutions adhere to enterprise architecture guidelines and integrate effectively within existing Azure environments. 8. Collaborate with cross-functional teams to translate business requirements into secure, scalable, and maintainable technical solutions. 9. Experience with CosmosDB or any No SQL DB 10. Experience in developing solution using public cloud platform like Azure 11. Experience in working with multiple technology groups like application development, Data, Infrastructure to build consensus on solutions 12. Experience in providing leadership with the responsibility to ensure the efficient use of resources, the selection of appropriate technology and use of appropriate design methodologies 13. Must have R&D mindset 14. Excellent oral and written communication skills About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Description: - You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 3 - 11 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry. Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development. Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior - Full Stack We are seeking a Senior Conversational Developer with extensive experience in designing and implementing complex solutions on Python, data engineering, JavaScript, ReactJS and node.JS. The ideal candidate should also have experience in conversational AI including leveraging Generative AI for developing chatbot solutions. Key Responsibilities: Lead the design, development, and deployment of applications. Write custom JavaScript code and integration with backend services. Collaborate with stakeholders to gather requirements and meet business needs. Test, debug, and refine to ensure optimal performance and user experience. Provide mentorship and code reviews for junior developers. Qualifications: Requires 3-5 years minimum prior relevant experience Bachelor's degree in computer science, Information Technology, or related field. Minimum of 5 – 8 years of experience in chatbot development. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills: Strong skills in Python, JavaScript framework / related web technologies server-side programming such as node.JS and Azure cloud. Familiarity with API design and development, including RESTful APIs and web services. Experience with databases, including relational and understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Familiarity with NLP and ML applications in chatbots, feature extraction, entity extraction, intent classification etc. Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving, analytical and project management skills Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Key Responsibilities Advanced Model Development: Design and implement cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to address specific business challenges. AI Agent and Chatbot Development: Create conversational AI agents capable of delivering seamless, human-like interactions, from foundational models to fine-tuning chatbots tailored to client needs. Retrieval-Augmented Generation (RAG): Develop and optimize RAG models, enhancing AI’s ability to retrieve and synthesize relevant information for accurate responses. Framework Expertise: Leverage LLAMAIndex and LangChain frameworks for building agent-driven applications that interact with large language models (LLMs). Data Infrastructure: Expertise in managing and utilizing data lakes, data warehouses (including Snowflake), and Databricks for large-scale data storage and processing. Machine Learning Operations (MLOps): Manage the full lifecycle of machine learning projects, from data preprocessing and feature engineering through model training, evaluation, and deployment, with a solid understanding of MLOps practices. Data Analysis & Insights: Conduct advanced data analysis to uncover actionable insights and support data-driven strategies across the organization. Cross-Functional Collaboration: Partner with cross-departmental stakeholders to align AI initiatives with business needs, developing scalable AI-driven solutions. Mentorship & Leadership: Guide junior data scientists and engineers, fostering innovation, skill growth, and continuous learning within the team. Research & Innovation: Stay at the forefront of AI and deep learning advancements, experimenting with new techniques to improve model performance and enhance business value. Reporting & Visualization: Develop and present reports, dashboards, and visualizations to effectively communicate findings to both technical and non-technical audiences. Cloud-Based AI Deployment: Utilize AWS Bedrock, including tools like Mistral and Anthropic Claude, to deploy and manage AI models at scale, ensuring optimal performance and reliability. Web Framework Integration: Build and deploy AI-powered applications using web frameworks such as Django and Flask, enabling seamless API integration and scalable backend services. Technical Skills Deep Learning & Machine Learning: Extensive hands-on experience with PyTorch, TensorFlow, and scikit-learn, along with large-scale data processing. Programming & Data Engineering: Strong programming skills in Python or R, with knowledge of big data technologies such as Hadoop, Spark, and advanced SQL. Data Infrastructure: Proficiency in managing and utilising data lakes, data warehouses, and Databricks for large-scale data processing and storage. MLOps & Data Handling: Familiar with MLOps and experienced in data handling tools like pandas and dask for efficient data manipulation. Cloud Computing: Advanced understanding of cloud platforms, especially AWS, for scalable AI/ML model deployment. AWS Bedrock: Expertise in deploying models on AWS Bedrock, with tools such as Mistral and Anthropic Claude. AI Frameworks: Skilled in LLAMAIndex and LangChain, with practical experience in agent-based applications. Data Visualization: Proficient in visualization tools like Tableau, Power BI for clear data presentation. Analytical & Communication Skills: Strong problem-solving abilities with the capability to convey complex technical concepts to diverse audiences. Team Collaboration & Leadership: Proven success in collaborative team environments, with experience in mentorship and leading innovative data science projects. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Experience: Specializing in deep learning, including extensive experience in PyTorch and TensorFlow. Advanced AI Knowledge: Familiarity with reinforcement learning, NLP, and generative models. Benefits: Friendly Work Environment Work-Life Balance Company-Sponsored Medical Insurance 5-Day Work Week with Flexible Timings Frequent Team Outings Yearly Leave Encashment Location: Ahmedabad

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior - Full Stack We are seeking a Senior Conversational Developer with extensive experience in designing and implementing complex solutions on Python, data engineering, JavaScript, ReactJS and node.JS. The ideal candidate should also have experience in conversational AI including leveraging Generative AI for developing chatbot solutions. Key Responsibilities: Lead the design, development, and deployment of applications. Write custom JavaScript code and integration with backend services. Collaborate with stakeholders to gather requirements and meet business needs. Test, debug, and refine to ensure optimal performance and user experience. Provide mentorship and code reviews for junior developers. Qualifications: Requires 3-5 years minimum prior relevant experience Bachelor's degree in computer science, Information Technology, or related field. Minimum of 5 – 8 years of experience in chatbot development. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills: Strong skills in Python, JavaScript framework / related web technologies server-side programming such as node.JS and Azure cloud. Familiarity with API design and development, including RESTful APIs and web services. Experience with databases, including relational and understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Familiarity with NLP and ML applications in chatbots, feature extraction, entity extraction, intent classification etc. Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving, analytical and project management skills Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About Soul AI Pods Deccan AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from top tier institutes like IITs, NITs, and BITS. We’re hiring for our client servicing arm Soul AI. Soul AI has a talent network, known as Soul AI Pods , under which highly skilled & vetted tech talent gets the opportunity to work with top-tier global tech companies. Our client list includes tech giants like Google & Snowflake .Read more about her eResponsibilitie sBuilding agentic system s, LLM pipeline s, or RLHF framework sPackage and deploy models via containerized API s and manage CI/CD pipeline sOwn the end-to-end ML lifecycl e, from data prep to serving to monitorin gCollaborate with product and engineering teams on scalable AI solution sSkill Require d Strong foundation in machine learning, deep learning, and model evaluati onProficient in Python, with experience in PyTorch, TensorFlow, and scikit-lea rnSkilled in data preprocessing, feature engineering, and SQL-based data handli ngFamiliar with deploying APIs using Docker, FastAPI, and managing version control with G itExperience with cloud platforms (AWS/GCP/Azure) and ML model deployment at sca leUnderstanding of MLOps tools (MLflow, Kubeflow) and CI/CD workflows for ML syste ms Application & Other Deta ilsTo apply, fill t he Soul AI Pods Interest F ormYou will be invited for selection process → R1: Test, R2: AI Interview, R3: 1:1 Interv iewWe are hiring for full-time or long Contract (40 hrs/week) hybrid ro lesWe are hiring across different seniority lev elsYou will work on a key client project (Top-tier tech consulting fi rm)

Minimum qualifications: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field, or equivalent practical experience. 5 years of experience with ML/AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with hardware description languages (e.g., Verilog, SystemVerilog, VHDL). Experience with applying ML/AI techniques. Preferred qualifications: Experience with ML/AI applications in hardware design, verification and Low Power (e.g., formal verification with ML, coverage closure with ML). Experience with verification methodologies (UVM, OVM). Experience in data preprocessing and feature engineering, hardware architecture and microarchitecture. Experience with simulation tools (e.g., Synopsys VCS, Cadence Xcelium, Mentor Questa). Excellent programming skills in Python or C++. About The Job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Research, design, and implement ML/AI algorithms techniques for various verification tasks, including test case generation, coverage analysis, bug prediction, and performance optimization. Develop and maintain tools and scripts for data collection, pre-processing, model training, and evaluation. Analyze large datasets of simulation results, logs, and other verification data to identify patterns and trends. Build and train ML models for various verification applications, such as anomaly detection, pattern recognition, and prediction. Evaluate model performance and iterate to improve accuracy and efficiency. Participate in verification planning and develop test plans that incorporate ML/AI-driven techniques. Execute verification tests and analyze results to identify bugs and coverage gaps. Develop and maintain verification tools and scripts to automate verification tasks. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Job Title: AI/ML Engineer Job Summary We are seeking a talented and passionate AI/ML Engineer with at least 3 years of experience to join our growing data science and machine learning team. The ideal candidate will have hands-on experience in building and deploying machine learning models, data preprocessing, and working with real-world datasets. You will collaborate with cross-functional teams to develop intelligent systems that drive business value. Key Responsibilities ● Design, develop, and deploy machine learning models for various business use cases. ● Analyze large and complex datasets to extract meaningful insights. ● Implement data preprocessing, feature engineering, and model evaluation pipelines. ● Work with product and engineering teams to integrate ML models into production environments. ● Conduct research to stay up to date with the latest ML and AI trends and technologies. ● Monitor and improve model performance over time. Required Qualifications ● Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. ● Minimum 3 years of hands-on experience in building and deploying machine learning models. ● Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost. ● Experience with training, fine-tuning, and evaluating ML models in real-world applications. ● Proficiency in Large Language Models (LLMs) – including experience using or fine-tuning models like BERT, GPT, LLaMA, or open-source transformers. ● Experience with model deployment, serving ML models via REST APIs or microservices using frameworks like FastAPI, Flask, or TorchServe. ● Familiarity with model lifecycle management tools such as MLflow, Weights & Biases, or Kubeflow. ● Understanding of cloud-based ML infrastructure (AWS SageMaker, Google Vertex AI, Azure ML, etc.). ● Ability to work with large-scale datasets, perform feature engineering, and optimize model performance. ● Strong communication skills and the ability to work collaboratively in cross-functional teams. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,500,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Ai/ML: 2 years (Preferred) Work Location: In person

We are seeking a highly skilled Technical Lead (AI) who excels in designing, developing, and delivering AI-powered solutions using the latest .NET technologies and GenAI frameworks. You will act as the technical anchor of an agile AI engineering team, guiding solution architecture, enforcing best coding practices, and ensuring robust, scalable, and maintainable delivery across the .NET and GenAI landscape. You will collaborate closely with architects, product owners, and cross-functional teams to shape technical vision, solve complex problems, and accelerate our journey in AI innovation. Key Responsibilities Lead the design and development of advanced AI/GenAI features using .NET technologies (C#, ASP.NET Core, Web API). Own the technical delivery of GenAI projects by hands-on development, code reviews, and troubleshooting. Architect and integrate solutions with Microsoft-deployed AI frameworks (Semantic Kernel, Autogen, ML.NET). Guide end-to-end implementation: data acquisition, preprocessing, modeling, deployment, and monitoring—all within .NET. Collaborate with product and engineering managers to ensure technical feasibility and high-quality business solutions. Drive adoption of DevOps/MLOps best practices (Azure DevOps CI/CD, Git, automated testing). Mentor engineers, conduct knowledge-sharing sessions, and champion continuous learning in AI and .NET advancements. Champion code quality, security, performance optimizations, and documentation across the delivery lifecycle. Participate in architecture discussions, technical evaluation of tools/frameworks, and risk assessments. Ensure cloud-native, secure, and scalable deployments—primarily in Azure/GCP environments. Be part of an extraordinary story Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible Job Posting Jul 24, 2025, 1:54:52 PM 7+ years of software engineering experience, with significant exposure to enterprise .NET (C#) development. Deep hands-on expertise in ASP.NET Core, Web API, and RDBMS technologies (SQL Server, Azure SQL). Advanced proficiency in software architecture, REST APIs, microservices, and cloud-native design. Excellent command of Entity Framework Core, LINQ, async/await, dependency injection, and middleware. Experience with DevOps workflows (Azure DevOps CI/CD, Git), and automated testing practices. Exposure to containerization (Docker) and orchestration (Kubernetes/AKS). Experience leading small- to mid-size technical teams, including mentoring and code reviews. Strong problem-solving skills and ability to translate business goals into scalable technical solutions. Good communication and stakeholder management skills. Desired Skills Hands-on with Azure Cognitive Services, OpenAI’s .NET SDK, and productionizing GenAI/LLM workflows. Familiarity with agent orchestration and pipeline frameworks in .NET (Semantic Kernel, Autogen, etc.). Cloud services integration: Azure App Service, Functions, Cosmos DB, GCP Cloud Functions/SQL. Working knowledge of NoSQL databases (Cosmos DB, MongoDB). Front-end collaboration with Angular (paired with ASP.NET Core backends). Security expertise: Azure AD, RBAC, API security and compliance. About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community

We are looking for a Senior Software Engineer with exceptional expertise in the latest .NET technologies and strong exposure to AI. You will develop, and deploy AI-driven solutions, build intelligent applications, and accelerate our GenAI roadmap Key Responsibilities Develop, and optimize AI and GenAI solutions. Integrate and utilize frameworks such as Semantic Kernel, Autogen, ML.NET for GenAI workflows. Work with product and data teams to translate requirements into robust, scalable .NET applications with advanced AI capabilities. Implement and consume GenAI APIs and LLMs for tasks like language modeling, chatbots, and intelligent document processing. Develop the end-to-end lifecycle: data ingestion, preprocessing, model selection, deployment, and monitoring. Ensure solutions meet standards for performance, security, and maintainability. Be Part Of An Extraordinary Story Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible. Job Posting Jul 24, 2025, 8:25:21 AM Proven hands-on experience in developing enterprise-scale applications using .NET (C#), including ASP.NET Core, Web API, and RDBMS-driven solutions. Advanced proficiency in designing and implementing modern software architecture, with strong knowledge of RESTful APIs and microservices patterns within the .NET ecosystem. Deep understanding of Entity Framework Core, LINQ, advanced C# features (async/await, generics, dependency injection), and integration with middleware. Experience with .NET-specific DevOps tools, including Azure DevOps (CI/CD pipelines), version control (e.g., Git) Experience designing and consuming APIs with OpenAPI/Swagger standards. Experience with containerization of .NET applications using Docker and orchestration via Kubernetes (AKS). Familiarity with agentic and orchestration frameworks such as Microsoft Semantic Kernel and Autogen in .NET workflows. Exposure to full-stack development, including front-end technologies like Angular (with ASP.NET Core backends). Experience integrating or migrating to cloud-native services in Azure (App Service, Functions, Cosmos DB, Azure SQL) and GCP (Cloud SQL, GKE, Cloud Functions). Working knowledge of NoSQL technologies (Cosmos DB, MongoDB) as part of hybrid .NET architectures. Understanding of identity and access management in .NET, including Azure AD, RBAC, and security best practices. Exposure to cross-platform UI development using web components About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. How To Apply If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.

About The Role We are looking for a passionate and motivated AI Engineer (Fresher) who is eager to start their career in the field of Artificial Intelligence and Machine Learning. You will work alongside experienced AI/ML professionals on real-world projects, gain hands-on experience with modern AI tools, and contribute to building intelligent solutions that solve business challenges. Key Responsibilities Assist in developing and testing AI/ML models using Python and popular frameworks Work on data preprocessing, feature engineering, and exploratory data analysis Support implementation of solutions in areas like NLP, Computer Vision, or Generative AI Collaborate with data engineers to understand and maintain ML pipelines Stay updated with trends in AI/ML technologies and research Participate in model validation, performance tracking, and documentation Gain exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools Learn to contribute to A/B testing, CI/CD pipelines, and version control What We’re Looking For: Basic knowledge of Python and AI/ML Familiarity with deep learning concepts and architectures Interest or exposure to NLP Understanding of how AI is used in real-world business applications Good problem-solving skills and a willingness to learn in a fast-paced environment Projects, internships, or coursework in AI/ML will be an added advantage Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field

Company Profile: Blue Star is India's leading Heating, Ventilation, Air conditioning and Commercial Refrigeration (HVAC&R) Company, with an annual revenue of over Rs 8000 crores, a network of 30 offices, 7 modern manufacturing facilities including the new state-of-the-art deep freezer facility at Wada, and Blue Star Climatech Limited’s world-class facility at Sri City; 3132 employees, and 4040 channel partners. The Company has manufacturing facilities at Dadra, Himachal Pradesh, Wada and Ahmedabad, which use modern, state-of-the-art manufacturing equipment to ensure that the products have consistent quality and reliability. The Company has a manufacturing footprint of more than 1 lakh sq m, with the mainstay of product development and R&D being energy-efficiency, coupled with eco-friendly and sustainable products. Website:https://www.bluestarindia.com PURPOSE OF THE ROLE An Aeroacoustics simulation engineer focuses on predicting the Noise & vibration level and improving the overall product noise level. primarily through simulation tools like Actran & Ansys. Nastran, & Hypermesh . The roles and responsibilities involve developing NVH Aeroacoustics models, correlating simulations results with test data, and optimizing designs to minimize noise and vibration. Fan Noise simulation for the fluid flow and using acoustic analogies to determine the sound generated by the blade’s profile. Qualifications: B.Tech/M.Tech in Mechanical Eng, Automobile Eng, Applied Physics Min 6 years relevant experience Technical Expertise Perform NVH Simulation activities and deliver validated results with respect to design targets using CAE Tools Actran, Ansys Hyperworks etc. Create finite element models of individual parts using appropriate preprocessing tools to meet accepted best practices Use CFD tools coupled with acoustic solvers to predict the noise level of cooling Fan, and set up computational domains, meshing, boundary condition, and run transient simulations to capture acoustic phenomena. Analyze simulation results to identify the Noise sources in terms of sound pressure levels, directivity pattern, and Frequency spect. Simulate modal analysis as a system & individual parts to identify the natural frequency, mode shape & Damping characteristics Set NVH targets for the HVAC products and prepare NVH target achievement plan (Cooling Fan, Compressor, tubes & Structural parts) Perform Noise Transfer Function (NTF) & Vibration Transfer Function (VTF) and use various Acoustic materials. Solve High/Mid/Low-Frequency issues in Component, sheet metal, Full system Levels (Vibration & Acoustics) Correlate simulation results with experimental data for further refinement Collaborate with multidisciplinary engineering teams to design complex HVAC products and systems to meet functional requirements for acoustics and vibration performance Perform optimization studies to make continuous improvement in performance requirements of structures. Perform automation activities to drive CAE lead time reduction MAIN RESPONSIBILITIES Noise reduction on cooling fans by optimizing the blade Aerofoil profile Acoustics analysis report with design recommendations, these reports document the analysis of noise sources, their characteristics, and potential solutions. Using simulations to find the best configurations for noise and vibration reduction, such as vibration isolators, tuned mass dampers, etc. Participate in physical testing activities to validate the accuracy of their simulations and ensure their design recommendations are effective. Actively seek opportunities to improve the software tools, methodologies, and processes used for aeroacoustics analysis and mitigation. Will be working on the Cooling fan, Compressor noise reduction, sheet metal components and various acoustic materials. Interested candidates can also drop your resume to randdrecruiter@bluestarindia.com with the brief on the projects worked.

About the Role: We are looking for a passionate and driven AI/ML Developer with 0–1 year of experience to join our growing technology team. This is an excellent opportunity for someone with internship or training experience in AI/ML to work on real-world projects and continue building a career in artificial intelligence and machine learning. Roles & Responsibilities: Work on AI, Machine Learning, and Deep Learning projects with real-time data and systems. Build and train ML models using libraries like TensorFlow, PyTorch, and Scikit-learn . Assist in deploying ML models and integrating them with web applications. Collaborate with front-end and back-end teams to support application development. Work with RESTful APIs to integrate AI services into existing platforms. Assist in data preprocessing, model evaluation, and performance tuning. Keep up with the latest research and trends in the AI/ML domain. Participate in code reviews, sprint planning, and team meetings. Required Skills & Qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Hands-on internship or training experience in AI/ML/Deep Learning is mandatory . Solid programming skills in Python . Familiar with ML/DL frameworks like TensorFlow, PyTorch , and Scikit-learn . Basic knowledge of HTML, CSS, and JavaScript for web integration. Exposure to React, Angular, or Vue.js is a plus . Understanding of REST APIs , model deployment, and web integration. Familiarity with SQL/NoSQL databases and cloud platforms like AWS, Azure, or GCP is desirable. Strong analytical, problem-solving, and communication skills. Ability to work in a collaborative team environment. Job Type: Full-time Pay: Up to ₹20,000.00 per month Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Have you completed an internship or formal training in AI/ML or Data Science? Which machine learning frameworks or libraries have you used? Experience: AI/ML: 1 year (Preferred) Python: 1 year (Preferred) Work Location: In person

We are looking for a Computer Vision Intern to assist in building and refining our image recognition pipeline. The role will start with dataset management—image collection, annotation validation, dataset cleaning, and preprocessing. Once the foundational data work is complete, you’ll get hands-on exposure to model training, augmentation, and evaluation, contributing directly to our production-ready pipeline. For one in the Seat: Responsibilities Organize, clean, and preprocess large-scale retail image datasets. Validate and manage annotations (bounding boxes, class labels, segmentation masks if applicable) using tools like Roboflow or CVAT or LabelImg. Apply augmentation techniques and prepare datasets for training. Support in training YOLOv5/YOLOv8-based models on custom datasets. Run model evaluations (Precision, Recall, F1 Score, SKU-level accuracy). Collaborate with the product team to improve real-world inference quality. Document the dataset pipeline and share insights for improving data quality. Who we're looking for: Must Have: Basic understanding of Computer Vision concepts (Object Detection, Classification) Familiarity with Python (OpenCV, Pandas, NumPy) Knowledge of image annotation tools (Roboflow, LabelImg, CVAT, etc.) Ability to manage and organise large datasets Good to have: Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning) Exposure to image augmentation techniques (Albumentations, etc.) Understanding of retail/commercial shelf datasets or product detection problems Previous internship or project experience in computer vision is a plus