8841 Pytorch Jobs - Page 16

Role Summary We're looking for a hands-on AI Tech Lead to architect and guide the development of cutting-edge AI/ML systems. This role blends deep technical ownership with team collaboration, with an emphasis on production-grade ML, real-time systems, and practical deployment strategies. Key Responsibilities Lead AI/ML architecture and infrastructure design, with a focus on performance and scalability Collaborate with Full Stack and Product teams to deploy ML models into production pipelines Guide research and experimentation cycles (LLMs, vision models, custom models) Mentor engineers and contribute to a high-performance AI engineering culture Requirements 6+ years in AI/ML engineering roles, 2+ in technical leadership Deep experience with LLMs, model fine-tuning, deployment (e.g., Triton, TorchServe, ONNX) Strong Python/ML stack: PyTorch, TensorFlow, HuggingFace, LangChain, etc. Strong systems thinking, with background in production-grade AI systems

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Job Role : Sr Full Stack Developer (Python+ Angular + GCP) Experience: 5-7 Years Job Type: Contract Contract Duration: 6 months Cost: Upto 90k per month Working Hours:- 12:00 PM to 09:00 PM IST. Location : 100% Remote JOB DESCRIPTION: We are looking for a Sr Fullstack (Python & Angular) Developer who will take ownership of building and maintaining complex backend systems, APIs, and applications using Python and for frontend with Angular Js. Profiles with BFSI- Payment system integrations experience is desired. • Design, develop, and maintain server-side applications, APIs, and services using Python. • Optimize applications for performance, scalability, and reliability. • Write clean, maintainable, and efficient code following coding standards and best practices. • Review code and guide junior developers to ensure quality and knowledge sharing. • Implement unit and integration tests to maintain code robustness. • Set up and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI. • Work with DevOps to deploy applications on cloud platforms, preferably Google Cloud Platform (GCP). • Should have experience in designing and developing cloud-native applications using APIs, containers, and Kubernetes. • Use GCP services to build scalable, reliable, and efficient applications. • Follow security best practices, manage access control, and ensure compliance on GCP. • Collaborate with DevOps, frontend developers, and product managers for smooth integration and deployment. • Design and manage SQL and NoSQL databases such as PostgreSQL, MySQL, and MongoDB. • Optimize database queries, handle migrations, and ensure data security and integrity. • Improve architecture and infrastructure of the codebase. • Follow best practices for application and data security, ensuring compliance with standards like GDPR and HIPAA. • Monitor application performance using tools like Prometheus, Grafana, or Datadog. • Build responsive and dynamic user interfaces using JavaScript and the Angular framework to deliver a seamless user experience across devices. • Develop, maintain, and optimize reusable Angular components to promote consistency, enhance UI performance, and reduce development time. Work closely with UX/UI designers to translate designs into high-quality code. Key Responsibilities: Design, develop, and maintain backend applications, APIs, and services using Python. • Write clean, maintainable, and scalable code following industry standards and best practices. • Optimize application performance and ensure high availability and scalability. • Review code and mentor junior developers to ensure code quality and foster knowledge sharing. • Implement unit and integration tests to ensure application robustness. • Set up and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI. • Collaborate with DevOps to deploy applications on cloud platforms, preferably Google Cloud Platform (GCP). • Design and build cloud-native applications using APIs, containers, and Kubernetes. • Leverage GCP services to develop scalable and efficient solutions. • Ensure application security, manage access controls, and comply with data privacy regulations. • Work closely with frontend developers, DevOps engineers, and product managers for seamless project delivery. • Design, manage, and optimize relational and NoSQL databases (PostgreSQL, MySQL, MongoDB). • Monitor application performance using tools like Prometheus, Grafana, or Datadog. • Build dynamic, responsive UIs using Angular and JavaScript. • Develop and maintain reusable Angular components in collaboration with UX/UI teams. PRIMARY SKILLS: ➢ Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. ➢ 5-7 years of experience as a Python developer, with a focus on Product development (BE+FE development). ➢ Hands on experience in Angular Js. ➢ Proven experience in designing and deploying scalable applications and microservices. App Integration experience is prefferd. ➢ Python- FastAPI (Flask/Django) ➢ API Development (RESTful Services) • Cloud Platforms – Google Cloud Platform (GCP)prefferd. • Familiarity with database management systems– PostgreSQL, MySQL, MongoDB and ORMs (e.g., SQLAlchemy, Django ORM). • Knowledge of CI/CD pipelines – Jenkins, GitLab CI, CircleCI • Frontend Development – JavaScript, Angular • Code Versioning – Git • Testing – Unit & Integration Testing ➢ Strong understanding of security principles, authentication (OAuth2, JWT), and data protection. SECONDARY SKILLS(IF ANY): ➢ Monitoring Tools – Prometheus, Grafana, Datadog • Security and Compliance Standards – GDPR, PCI, Soc2 • DevOps Collaboration • UX/UI Collaboration for Angular components ➢ Experience with asynchronous programming (e.g., asyncio, Aiohttp). ➢ Experience with big data technologies like Spark or Hadoop. ➢ Experience with machine learning libraries (e.g., TensorFlow, PyTorch) is a plu

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Data Scientist Exp : 4—7 Years Location: Mumbai Key Responsibilities: Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. Ensure compliance with data governance standards and ethical AI practices in all implementations. Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Qualifications: Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline. Strong background in AI/ML, NLP, and Generative AI models, including SLMs,LLMs like GPT and BERT. Extensive experience managing AI projects and leading teams in developing AI-based solutions. Deep understanding and hands-on experience with generative algorithms, particularly models (e.g., GPT, VAE, GANs, LLMs), and libraries like TensorFlow, PyTorch, and Keras. Cloud Computing: Experience with platforms like Azure, Google Cloud, or AWS. Familiarity with tools for model deployment and monitoring. Proven track record of delivering high-impact AI projects in a consultancy environment. Strong business acumen, with the ability to translate complex algorithms into actionable business strategies. Outstanding leadership and interpersonal skills, adept at fostering collaboration across diverse teams. Preferred: Programming: Python, pyspark, SQL, R, and other relevant languages. Min Exp - 7-8+ years Mandatory Skill Sets Data Science/AI/ML Preferred Skill Sets Data Science/AI/ML Years Of Experience Required 4—7 years Education Qualification B.E.(B.Tech)/M.E/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills ETL Tools Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

🌟 We're Hiring: Artificial Intelligence (AI) Consultant! 🌟 We are seeking an experienced AI Consultant to drive innovative artificial intelligence solutions and guide organizations through their digital transformation journey. The ideal candidate will have deep expertise in AI technologies, machine learning algorithms, and strategic implementation to deliver impactful business solutions. 📍 Location: Chennai, India ⏰ Work Mode: Flexible office & remote 💼 Role: Artificial Intelligence (AI) Consultant What You'll Do Roles and Responsibilities AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries, ensuring value realization and high client satisfaction. Strategic Consulting & Roadmapping: Identify key enterprise challenges and translate them into AI solution opportunities, crafting transformation roadmaps that leverage RAG, LLMs, and intelligent agent frameworks. LLM/RAG Solution Design & Implementation: Architect and deliver cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB). Agentic Systems: Design and deploy multi-step agent workflows using frameworks like CrewAI, LangGraph, AutoGen or ReAct, optimizing tool-augmented reasoning pipelines. Client Engagement & Advisory: Build lasting client relationships as a trusted AI advisor, delivering technical insight and strategic direction on generative AI initiatives. Hands-on Prototyping: Rapidly prototype PoCs using Python and modern ML/LLM stacks to demonstrate feasibility and business impact. Thought Leadership: Conduct market research, stay updated with the latest in GenAI and RAG/Agentic systems, and contribute to whitepapers, blogs, and new offerings Essential Skills Leadership Quality: Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact. Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains. Python & AI Proficiency: Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models. LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration. Independent Contributor: Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments. Education Bachelor's or Master’s in Computer Science, AI, Engineering, or related field. Experience: Minimum 5 years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions. Preferred Skills Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP — including compute instances, storage, managed services, and serverless/cloud- native deployment models. Programming Paradigms: Hands-on experience with both functional and object-oriented programming in AI system design. Hugging Face Ecosystem: Proficiency in using Hugging Face Transformers, Datasets, and Model Hub. Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB. LangChain Expertise: Strong proficiency in LangChain for agentic task orchestration and RAG pipelines. MLOps & Deployment: CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes). Cloud & Service Architecture: Knowledge of microservices, scaling strategies, inter- service communication. Programming Languages: Proficiency in Python and C# for enterprise-grade AI solution development. Additional Skills Excellent customer interfacing and stakeholder engagement skills. Strong verbal and written communication in business and technical contexts. High attention to detail and structured problem-solving. Passion for AI ethics, safety, performance, and optimization in enterprise-grade systems.

🌟 We're Hiring: Artificial Intelligence Consultant! 🌟 We are seeking an experienced AI Consultant to drive innovative artificial intelligence solutions for our clients. The ideal candidate will have deep expertise in machine learning, data science, and AI implementation to help businesses transform their operations and achieve strategic objectives through cutting-edge technology. 📍 Location: Chennai, India ⏰ Work Mode: Work from anywhere 💼 Role: Artificial Intelligence Consultant-Remote What You'll Do 🎯 Design and implement AI solutions for diverse business challenges 📊 Develop machine learning models and algorithms 🤝 Collaborate with clients to understand requirements and deliver insights 🔍 Analyze complex datasets to extract actionable intelligence 📈 Optimize AI systems for performance and scalability 🛠️ Provide technical guidance on AI strategy and implementation What We're Looking For ✅ 6+ years of experience in AI/ML development ✅ Expertise in Python, TensorFlow, PyTorch, or similar frameworks ✅ Strong background in data science and statistical analysis ✅ Experience with cloud platforms (AWS, Azure, GCP) ✅ Excellent problem-solving and analytical skills ✅ Strong communication and client-facing abilities Ready to shape the future with AI? 🚀 Apply now and let's innovate together!

🌟 We're Hiring: Artificial Intelligence (AI) Consultant! 🌟 We are seeking an experienced AI Consultant to drive innovative artificial intelligence solutions and guide organizations through their digital transformation journey. The ideal candidate will have deep expertise in AI technologies, machine learning algorithms, and strategic implementation to deliver impactful business solutions. 📍 Location: Chennai, India ⏰ Work Mode: Flexible office & remote 💼 Role: Artificial Intelligence (AI) Consultant What You'll Do Roles and Responsibilities AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries, ensuring value realization and high client satisfaction. Strategic Consulting & Roadmapping: Identify key enterprise challenges and translate them into AI solution opportunities, crafting transformation roadmaps that leverage RAG, LLMs, and intelligent agent frameworks. LLM/RAG Solution Design & Implementation: Architect and deliver cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB). Agentic Systems: Design and deploy multi-step agent workflows using frameworks like CrewAI, LangGraph, AutoGen or ReAct, optimizing tool-augmented reasoning pipelines. Client Engagement & Advisory: Build lasting client relationships as a trusted AI advisor, delivering technical insight and strategic direction on generative AI initiatives. Hands-on Prototyping: Rapidly prototype PoCs using Python and modern ML/LLM stacks to demonstrate feasibility and business impact. Thought Leadership: Conduct market research, stay updated with the latest in GenAI and RAG/Agentic systems, and contribute to whitepapers, blogs, and new offerings Essential Skills Leadership Quality: Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact. Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains. Python & AI Proficiency: Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models. LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration. Independent Contributor: Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments. Education Bachelor's or Master’s in Computer Science, AI, Engineering, or related field. Experience: Minimum 5 years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions. Preferred Skills Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP — including compute instances, storage, managed services, and serverless/cloud- native deployment models. Programming Paradigms: Hands-on experience with both functional and object-oriented programming in AI system design. Hugging Face Ecosystem: Proficiency in using Hugging Face Transformers, Datasets, and Model Hub. Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB. LangChain Expertise: Strong proficiency in LangChain for agentic task orchestration and RAG pipelines. MLOps & Deployment: CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes). Cloud & Service Architecture: Knowledge of microservices, scaling strategies, inter- service communication. Programming Languages: Proficiency in Python and C# for enterprise-grade AI solution development. Additional Skills Excellent customer interfacing and stakeholder engagement skills. Strong verbal and written communication in business and technical contexts. High attention to detail and structured problem-solving. Passion for AI ethics, safety, performance, and optimization in enterprise-grade systems.

Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models Design and develop prompts suiting project needs Lead and manage team of prompt engineers Stakeholder management across business and domains as required for the projects Evaluating base models and benchmarking performance Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking Develop, deploy and maintain auto prompt solutions Design and implement minimum design standards for every use case involving prompt engineering Key Responsibilities Strategy As the ML Engineer of AI ML Delivery team, the candidate is expected to solutionise, Develop Models and Integrate pipeline for Delivery of AIML Use cases. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage terms of project assignments and deadlines Work with the team dedicated for models related unstructured and structured data. Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills And Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Managemen Must Have Hands on experience in Kubernetes and Docker Hands on in Azure Cloud services (VMSS, Blob, AKS, Azure LB) Azure Devops tools CI/CD Hands on in Terraform Good To Have Azure OpenAI Grafana and monitoring Qualifications Masters with specialisation in Technology 8- 12 years relevant of Hands-on Experience Strong proficiency with Python, DJANGO framework and REGEX Good understanding of Machine learning framework Pytorch and Tensorflow Knowledge of Generative AI and RAG Pipeline Good in microservice design pattern and developing scalable application. Ability to build and consume REST API Fine tune and perform code optimization for better performance. Strong understanding on OOP and design thinking Understanding the nature of asynchronous programming and its quirks and workarounds Good understanding of server-side templating languages Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments Integration of APIs, multiple data sources and databases into one system Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server. Understanding fundamental design principles behind a scalable and distributed application Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment. Implementing automated testing platforms, unit tests, and CICD Pipeline About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

🌟 We're Hiring: Artificial Intelligence Consultant! 🌟 We are seeking an experienced AI Consultant to drive innovative artificial intelligence solutions for our clients. The ideal candidate will have deep expertise in machine learning, data science, and AI implementation to help businesses transform their operations and achieve strategic objectives through cutting-edge technology. 📍 Location: Chennai, India ⏰ Work Mode: Work from anywhere 💼 Role: Artificial Intelligence Consultant-Remote What You'll Do 🎯 Design and implement AI solutions for diverse business challenges 📊 Develop machine learning models and algorithms 🤝 Collaborate with clients to understand requirements and deliver insights 🔍 Analyze complex datasets to extract actionable intelligence 📈 Optimize AI systems for performance and scalability 🛠️ Provide technical guidance on AI strategy and implementation What We're Looking For ✅ 6+ years of experience in AI/ML development ✅ Expertise in Python, TensorFlow, PyTorch, or similar frameworks ✅ Strong background in data science and statistical analysis ✅ Experience with cloud platforms (AWS, Azure, GCP) ✅ Excellent problem-solving and analytical skills ✅ Strong communication and client-facing abilities Ready to shape the future with AI? 🚀 Apply now and let's innovate together!

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Director Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a SAP consulting generalist at PwC, you will focus on providing consulting services across various SAP applications to clients, analysing their needs, implementing software solutions, and offering training and support for effective utilisation of SAP applications. Your versatile knowledge will allow you to assist clients in optimising operational efficiency and achieving their strategic objectives. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description: A career within SAP Consulting services, will provide you with the opportunity to help our clients maximize the value of their SAP investment with offerings that address sales, finance, supply chain, engineering, and human capital. We provide comprehensive consulting, system integration and implementation services across multiple SAP applications, products and technologies. Simply put, we focus on delivering business led, technology enabled change for our clients including industry specific enterprise resource planning and the latest in mobile, analytics and cloud solutions Responsibilities Design and architect AI solutions integrated with SAP systems to enhance business processes and decision-making capabilities. Collaborate with business stakeholders and IT teams to identify opportunities for AI-driven improvements and innovations. Lead the development and deployment of machine learning models and AI algorithms tailored to SAP applications. Ensure that AI solutions are scalable, efficient, and aligned with best practices in AI and SAP environments. Provide technical leadership and guidance to development teams, ensuring high-quality deliverables. Stay up-to-date with the latest advancements in AI, machine learning, and SAP technologies to ensure the organization remains at the forefront of innovation. Define and implement data strategies and pipelines to support AI initiatives within SAP ecosystems. Participate in the design of cloud-based architectures for hosting AI applications, ensuring robust and secure integrations. Conduct workshops and training sessions to promote AI literacy and best practices within the organization. Evaluate and recommend new tools and technologies that can enhance the organization's AI and SAP capabilities. Mandatory Skill Sets Proven experience as an AI Architect or similar role, with a focus on SAP environments. Strong expertise in SAP technologies, including SAP S/4HANA, SAP Cloud Platform, and SAP Leonardo. Proficiency in AI and machine learning frameworks such as TensorFlow, PyTorch, or similar. Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in deploying AI solutions. Strong programming skills in languages such as Python, Java, or R. Excellent problem-solving skills and the ability to work effectively in a collaborative environment. Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Preferred Skill Sets Experience with natural language processing (NLP) and computer vision applications within SAP environments. Familiarity with data visualization tools and techniques. Experience in agile development methodologies. Years Of Experience Required 15-25 Yrs experience Education Qualification BE/BTech/MBA/MCA/CAs Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills SAP Architecture Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Business Case Development, Business Process Improvement, Change Control Processes, Coaching and Feedback, Communication, Costing, Creativity, Embracing Change, Emotional Regulation, Empathy, Inclusion, Influence, Innovation, Intellectual Curiosity, IT Project Lifecycle, Kanban (Project Management), Learning Agility, Optimism, Plan of Action and Milestones (POA&M), Process Mapping {+ 35 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Job Description: SDE-II – Python Developer Job Title SDE-II – Python Developer Department Operations Location In-Office Employment Type Full-Time Job Summary We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities • Develop, test, and maintain backend applications using Django, Flask, or FastAPI. • Build RESTful APIs and integrate third-party services to enhance platform capabilities. • Utilize data handling libraries like Pandas and NumPy for efficient data processing. • Write clean, maintainable, and well-documented code that adheres to industry best practices. • Participate in code reviews and mentor junior developers. • Collaborate in Agile teams using Scrum or Kanban workflows. • Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications • 2 to 5 years of experience in backend development with Python. • Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. • Strong command over at least one Python framework (Django, Flask, or FastAPI). • Experience with data libraries like Pandas and NumPy. • Understanding of authentication/authorization mechanisms, middleware, and dependency injection. • Familiarity with version control systems like Git. • Comfortable working in Linux environments. Must-Have Skills • Expertise in backend Python development and web frameworks. • Strong debugging, problem-solving, and optimization skills. • Experience with API development and microservices architecture. • Deep understanding of software design principles and security best practices. Good-to-Have Skills • Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). • Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). • Knowledge of containerization tools (Docker, Kubernetes). • Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. • Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). • Familiarity with Agile practices and tools like Jira or Trello. • Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Company Overview We specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture is a unique blend of in-office and remote collaboration, prioritizing our employees above everything else. At our company, you’ll find an environment where continuous learning, leadership opportunities, and mutual respect thrive. We are proud to foster a culture where individuals are valued, encouraged to evolve, and supported in achieving their fullest potential. Benefits and Perks • Competitive Salary: Earn up to ₹6 –10 LPA based on skills and experience. • Generous Time Off: Benefit from 18 annual holidays to maintain a healthy work-life balance. • Continuous Learning: Access extensive learning opportunities while working on cutting-edge projects. • Client Exposure: Gain valuable experience in client-facing roles to enhance your professional growth.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Design and develop deep learning models for computer vision tasks such as: Object detection (e.g., YOLO, Faster R-CNN) Image classification (e.g., ResNet, EfficientNet) Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) Video frame analysis, tracking, or scene understanding Use OpenCV for image/video preprocessing and classical vision tasks: Filtering, contour detection, edge detection, motion tracking, image transformations Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow Collaborate with cross-functional teams to translate requirements into deployable models Write clean, modular, and well-documented Python code for training and experimentation Must-Have Skills 4–6 years of experience in applied deep learning roles with focus on computer vision Proficiency in Python with strong skills in data structures, vectorization, and modular coding Hands-on experience with OpenCV for traditional image/video processing tasks Strong understanding of CNN architectures and common vision model types Deep learning experience with PyTorch or TensorFlow Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) Familiarity with model training, loss functions, optimization techniques, and performance tuning Nice-to-Have Skills Experience with video analytics or multi-object tracking Familiarity with Albumentations, imgaug, or other augmentation libraries Exposure to transformer-based vision models (e.g., ViT, Swin) Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory Skill Sets Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred Skill Sets Data analysis, SQL, MLOPS Years of experience Required 5+ Education Qualification BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Basic understanding of machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face. • Knowledge of neural network architectures, particularly in areas like Transformers and basic deep learning models. • Familiarity with Python programming and essential ML libraries (NumPy, Pandas, Scikit-learn). • Exposure to NLP (Natural Language Processing) concepts and basic text processing tasks. • Some experience with cloud platforms (AWS, GCP, or Azure) for deploying simple AI models. • Understanding of basic databases and their integration with AI systems (NoSQL or SQL databases). Soft Skills: • Strong eagerness to learn and adapt to new technologies in the AI and machine learning field. • Ability to work under guidance and collaborate within a team environment. • Good problem-solving abilities and analytical thinking. • Effective communication skills to discuss technical issues and progress with the team. Education and Experience: • Bachelor’s degree in computer science, Data Science, Artificial Intelligence, or related fields. • 6-9 years of experience in machine learning, AI, or related areas (internships or academic projects are a plus). Preferred Skills (Nice-to-Have): • Exposure to basic machine learning deployment tools or practices. • Familiarity with any vector databases (ChromaDB, Pinecone, Weaviate, Milvus, FAISS) or graph databases (Neo4j, TigerGraph). • Interest in generative AI or graph-based AI solutions. • Involvement in open-source projects or personal contributions to machine learning communities. • Understanding of ethical AI principles or data privacy basics. Role Summary: As a Junior Machine Learning Developer, you will be part of a dynamic team working on cutting-edge AI and machine learning solutions. This role offers an exciting opportunity for a motivated individual to learn and grow their skills in a fast-paced, collaborative environment. You will assist senior developers in developing, testing, and deploying AI models, while gaining hands-on experience with machine learning frameworks and real-world AI applications.

🌟 We're Hiring: Artificial Intelligence Consultant! 🌟 We are seeking an experienced and innovative AI Consultant to drive artificial intelligence initiatives and provide strategic guidance to clients. The ideal candidate will have deep expertise in AI technologies, machine learning algorithms, and the ability to translate complex technical concepts into actionable business solutions. 📍 Location: Pune, India ⏰ Work Mode: Work from anywhere 💼 Role: Artificial Intelligence Consultant-Remote What You'll Do 🎯 Design and implement AI solutions for diverse client requirements 📊 Analyze complex datasets and develop predictive models 🤖 Build and optimize machine learning algorithms and neural networks 💡 Provide strategic AI consulting and technical recommendations 🔍 Conduct feasibility studies and AI readiness assessments 📈 Monitor model performance and implement continuous improvements What We're Looking For ✅ 6+ years of experience in AI/ML development and consulting ✅ Expertise in Python, TensorFlow, PyTorch, and cloud platforms ✅ Strong background in data science and statistical analysis ✅ Experience with NLP, computer vision, or deep learning ✅ Excellent problem-solving and client communication skills ✅ Advanced degree in Computer Science, AI, or related field preferred Ready to shape the future with AI? 🚀 Apply now and let's innovate together!

🌟 We're Hiring: Artificial Intelligence Consultant! 🌟 We are seeking an experienced and innovative AI Consultant to drive artificial intelligence initiatives and provide strategic guidance to clients. The ideal candidate will have deep expertise in AI technologies, machine learning algorithms, and the ability to translate complex technical concepts into actionable business solutions. 📍 Location: Pune, India ⏰ Work Mode: Work from anywhere 💼 Role: Artificial Intelligence Consultant-Remote What You'll Do 🎯 Design and implement AI solutions for diverse client requirements 📊 Analyze complex datasets and develop predictive models 🤖 Build and optimize machine learning algorithms and neural networks 💡 Provide strategic AI consulting and technical recommendations 🔍 Conduct feasibility studies and AI readiness assessments 📈 Monitor model performance and implement continuous improvements What We're Looking For ✅ 6+ years of experience in AI/ML development and consulting ✅ Expertise in Python, TensorFlow, PyTorch, and cloud platforms ✅ Strong background in data science and statistical analysis ✅ Experience with NLP, computer vision, or deep learning ✅ Excellent problem-solving and client communication skills ✅ Advanced degree in Computer Science, AI, or related field preferred Ready to shape the future with AI? 🚀 Apply now and let's innovate together!

We are seeking an Senior AI Engineer to join our Digital Engineering team, focusing exclusively on Innovation Initiatives. As part of our dynamic group, you will contribute to cutting-edge AI-driven platforms and future-trend projects. The ideal candidate possesses deep expertise in machine learning and AI, with a proven record of developing scalable solutions. This role demands a delivery-focused mindset, emphasizing quick, incremental outputs in an agile environment. Responsibilities: Develop cutting-edge AI solutions for future trends Rapidly prototype and deliver impactful features (DemoBytes) Integrate existing libraries/datasets for novel applications Develop select features from scratch when necessary Collaborate cross-functionally on AI innovations Proactively improve systems based on AI trends Participate in agile development processes Deliver frequent, incremental outputs Balance innovation with practical implementation Requirements and Skills: Master's in Computer Science, Engineering, AI, or a related field 4+ years of experience in developing and deploying machine learning models and AI solutions. Handled team of minimum 5. Strong proficiency in Python; familiarity with Java and R Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras Solid understanding of data structures, algorithms, and software design principles Knowledge of RESTful APIs and microservices architecture Familiarity with agile development methodologies Strong problem-solving skills and ability to work effectively in a team environment Excellent communication skills to explain complex AI concepts to both technical and non-technical stakeholders

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Applied Research Team will work at the fore front of applying cutting-edge technologies in practical and user-centric applications. Their primary focus will be on implementing and optimizing generative AI solutions for a range of applications in graphics and design. This includes the development of sophisticated image processing techniques and the enhancement of human-computer interaction interfaces using machine learning algorithms. They will also be deeply involved in programming with languages like C++ and Python to develop robust, production-level software. The team will utilize machine learning frameworks such as TensorFlow and PyTorch, not only for model development but also for converting and deploying these models efficiently in production environments. Their work will be vital in transforming theoretical AI advancements into accessible, efficient, and impactful applications, constantly iterating and improving upon them to meet evolving user needs and industry standards. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Tasks Develop and implement cutting-edge machine learning models and algorithms tailored for AI-driven products and solutions. Collaborate with cross-functional teams to integrate advanced AI technologies into existing software applications, enhancing their capabilities and performance. Conduct research and experiments on large language models (LLM) and agentic AI systems to push the boundaries of current technological capabilities. Design and optimize Retrieval-Augmented Generation (RAG) techniques to improve data retrieval processes and enhance user interaction with AI systems. Stay abreast of the latest advancements in AI and machine learning fields to ensure the company's offerings remain at the forefront of innovation. Requirements Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Proven experience in developing and deploying machine learning models, with a strong emphasis on Large Language Models (LLM) and Agentic AI. Proficiency in programming languages such as Python, R, or Java, and experience with frameworks like TensorFlow, PyTorch, or similar. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into scalable AI solutions. Excellent communication and collaboration skills, with experience working in multidisciplinary teams to drive AI innovation.

As an expectation a fitting candidate must have/be: Ability to analyze business problem and cut through the data challenges. Ability to churn the raw corpus and develop a data/ML model to provide business analytics (not just EDA), machine learning based document processing and information retrieval Quick to develop the POCs and transform it to high scale production ready code. Experience in extracting data through complex unstructured documents using NLP based technologies. Good to have : Document analysis using Image processing/computer vision and geometric deep learning Technology Stack: Python as a primary programming language. Conceptual understanding of classic ML/DL Algorithms like Regression, Support Vectors, Decision tree, Clustering, Random Forest, CART, Ensemble, Neural Networks, CNN, RNN, LSTM etc. Programming: Must Have: Must be hands-on with data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy and Object-oriented programming Good to have: Design patterns/System design, cython ML libraries: Must Have: Scikit-learn, XGBoost, imblearn, SciPy, Gensim Good to have: matplotlib/plotly, Lime/sharp Data extraction and handling: Must Have: DASK/Modin, beautifulsoup/scrappy, Multiprocessing Good to have: Data Augmentation, Pyspark, Accelerate NLP/Text analytics: Must Have: Bag of words, text ranking algorithm, Word2vec, language model, entity recognition, CRF/HMM, topic modelling, Sequence to Sequence Good to have: Machine comprehension, translation, elastic search Deep learning: Must Have: TensorFlow/PyTorch, Neural nets, Sequential models, CNN, LSTM/GRU/RNN, Attention, Transformers, Residual Networks Good to have: Knowledge of optimization, Distributed training/computing, Language models Software peripherals: Must Have: REST services, SQL/NoSQL, UNIX, Code versioning Good to have: Docker containers, data versioning Research: Must Have: Well verse with latest trends in ML and DL area. Zeal to research and implement cutting areas in AI segment to solve complex problems Good to have: Contributed to research papers/patents and it is published on internet in ML and DL Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Design & develop AI/ML solutions to be flexible, scalable & extensible. Build solutions that incorporates cognitive techniques such as statistics, machine leaning, NLP, deep learning, transfer learning Hands-on in python libraries like pandas, numpy, scikit-learn, scipy, nltk, tensorflow, keras, pytorch etc. Excellent at feature engineering, Exploratory data analysis and data visualization Keen to work on cloud-based ML solutions using AWS,GCP,Azure,IBM Watson etc. Innovative, studies research papers and implement them. Curious to learn latest algorithms and concept and use them professionally Develop areas of continuous and automated deployment Introduce and follow good development practices, innovative frameworks and technology solutions that help business move faster Be a Role Model to the team to collaborate on good object-oriented designs & domain modeling. 3-5 years of experience in data science, machine learning field An advanced degree in engineering, computer science, statistics or related field is preferred Expertise with data science and python, machine learning, NLP and deep learning is essential Experience with back-end XML, relational databases (e.g. MS SQL, Postgres) Experience developing and deploying solutions using services in the Amazon AWS ecosystem (Serverless Lambda, EC2, RDS) Experience of publishing the research paper in renowned forums Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Role: Machine Learning Engineer - MLOps Job Overview As a Senior Software Development Engineer, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Team Overview Your team’s goal will be to reduce friction and time-to-business-value for teams building Artificial Intelligence (AI) solutions at PitchBook. You will be essential in helping to build exceptional AI solutions relied upon and used by thousands of PitchBook customers every day. You will work with PitchBook professionals around the world with the collective goal of delighting our customers and growing our business. While demonstrating a growth mindset, you will be expected to continuously develop your expertise in a way that enhances PitchBook’s AI capabilities in a scalable and repeatable manner. You will be able to solve various common challenges faced in the MLDLC while providing technical guidance to less experienced peers. Outline Of Duties And Responsibilities Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment Design and deliver on projects end-to-end with little to no guidance Provide support to teams building and deploying AI applications by addressing common painpoints in the MLDLC Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various cross-functional company initiatives and projects as requested. Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value. Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance. Experience, Skills And Qualifications Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or commensurate experience) +2 years of experience in hands-on development of Machine Learning algorithms +2 years of experience in hands-on deployment of Machine Learning services +2 years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance +2 years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) Experience with at least 80%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, KubeFlow Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement Experience in cloud-native delivery, with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions. Proficiency in GitOps and creation/management of CI/CD pipelines Demonstrated experience building and using SQL/NoSQL databases Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools. Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context. Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions. Ability to be a team player who can also work independently Experience working across multiple development teams is a plus Working Conditions The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Morningstar India is an equal opportunity employer Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Job Description - We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you’ll collaborate with our team and works various applied AI/ML tasks. Key Responsibilities - Assist in training and fine-tuning ML models for real-time AI-based tasks. Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes. Implement and test model architectures to improve accuracy, speed, and performance. Help analyze and optimize model performance based on results and metrics. Document research and findings, contributing to team knowledge and project reports. Participate in code reviews and contribute to software development best practices. Stay updated with the latest trends and research in computer vision and applied ML. Qualifications - Bachelor's or master's degree program in Computer Science, Electrical Engineering, or a related field. Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts. Hands-on experience with MLOps. Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD). Proficiency in programming languages such as Python Experience with OpenCV and Pytorch is a must. Experience with Statistical Analysis and modeling is a plus. Experience with CUDA and GPU acceleration is a plus. Experience with ROS and C++ is also a huge plus. Strong problem-solving skills, attention to detail, and a collaborative mindset. Preferred Skills - Knowledge of data cleaning techniques and data preprocessing methods. Familiarity with version control systems like Git . Experience in deploying models into production environments (optional). Exposure to ROS and OpenCV in C++.

Alkye is seeking a Senior Python Developer to join our dynamic team in Mohali. As a Senior Python Developer, you will play a crucial role in developing robust web applications, integrating front-end elements, maintaining software frameworks, and ensuring the creation of resuable and adapatable codebase. About Us We are a dynamic and innovative Digital Services company, specializing in cutting-edge technology solutions across web and app development, UIUX, AI-driven platforms, digital marketing, and data science. We enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to deliver the best digital products. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual and team contributions. Responsibilities: Develop and maintain web applications using flask, Django framework. Develop APIs using Django rest framework. Integrate front-end elements into applications to enhance user experience. Create and maintain various software frameworks to support application development. Write reusable and adaptable code to optimize application performance and scalability. Collaborate with the team to incorporate PyCharm as the preferred IDE for development projects. Qualifications: Bachelor's or Master's degree in Computer Science or relevant fields such as Engineering or Mathematics. Minimum of 10 years of experience as a backend developer with solid experience in Python Frameworks with a strong emphasis on Django Framework. Experience working with SQL databases such as MySQL, PostgreSQL, etc. Knowledge of AWS, Git, and Docker is considered a plus. Experience with PyTorch and ML frameworks for machine learning tasks. Good understanding of software engineering principles, frameworks, and design patterns. Ability to work independently with attention to detail and quality. Strong collaboration skills with the ability to communicate effectively with both technical and non-technical stakeholders. Excellent analytical skills and problem-solving abilities. Demonstrated commitment to staying updated with the latest trends, technologies, and programming languages. If you are passionate about Python development, possess the required skills and experience, and thrive in a collaborative team environment, we encourage you to apply for this exciting opportunity at Alkye . What We Offer: Our commitment to being a remarkable workplace, offering meaningful employment where you can contribute to shared values. Delivering Memorable Moments. Joining Alkye India comes with a range of perks; Competitive packages, with a Monthly Bonus scheme for outstanding teamwork. Tailored development opportunities for everyone at all levels and all roles. The opportunity to join a fast-growing global company located in EMEA and APAC. Modern, spacious global offices, with opportunities to travel for top performers

You will be joining our team as a Senior Data Scientist with expertise in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate should possess a minimum of 5-7 years of experience in data science, focusing on AI/ML applications. You are expected to have a strong background in various ML algorithms, programming languages such as Python, R, or Scala, and data processing frameworks like Apache Spark. Proficiency in data visualization tools and experience in model deployment using Docker, Kubernetes, and cloud services will be essential for this role. Your responsibilities will include end-to-end AI/ML project delivery, from data processing to model deployment. You should have a good understanding of statistics, probability, and mathematical concepts used in AI/ML. Additionally, familiarity with big data tools, natural language processing techniques, time-series analysis, and MLOps will be advantageous. As a Senior Data Scientist, you are expected to lead cross-functional project teams and manage data science projects in a production setting. Your problem-solving skills, communication skills, and curiosity to stay updated with the latest advancements in AI and ML are crucial for success in this role. You should be able to convey technical insights clearly to diverse audiences and quickly adapt to new technologies. If you are an innovative, analytical, and collaborative team player with a proven track record in AI/ML project delivery, we invite you to apply for this exciting opportunity.,

Description / Position Overview This is a key position for our client to help create data-driven technology solutions that will position us as the industry leader in healthcare, financial, and clinical administration. This hands-on Lead Data Scientist role will focus on building and implementing machine learning models and predictive analytics solutions that will drive the new wave of AI-powered innovation in healthcare. You will be the lead data science technologist responsible for developing and implementing a multitude of ML/AI products from concept to production, helping us gain a competitive advantage in the market. Alongside our Director of Data Science, you will work at the intersection of healthcare, finance, and cutting-edge data science to solve some of the industry's most complex challenges. This is a greenfield opportunity within VHT’s Product Transformation division, where you'll build groundbreaking machine learning capabilities from the ground up. You'll have the chance to shape the future of VHT’s data science & analytics foundation while working with cutting-edge tools and methodologies in a collaborative, innovation-driven environment. Key Responsibilities As the Lead Data Scientist, your role will require you to work closely with subject matter experts in clinical and financial administration across practices, health systems, hospitals, and payors. Your machine learning projects will span the entire healthcare revenue cycle - from clinical encounters through financial transaction completion, extending into back-office operations and payer interactions. You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: • Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood • Claim Denials Prediction - identifying high-risk claims before submission • Payment Amount Prediction - forecasting expected reimbursement amounts • Cash Flow Forecasting - predicting revenue timing and patterns • Patient-Related Models - enhancing patient financial experience and outcomes • Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunities—for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment • Cloud Platform : AWS (SageMaker, S3, Redshift, EC2) • Development Tools : Jupyter Notebooks, Git, Docker • Programming : Python, SQL, R (optional) • ML/AI Stack : Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow • Data Processing : Spark, Pandas, NumPy • Visualization : Matplotlib, Seaborn, Plotly, Tableau Required Qualifications • Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field • 5+ years of hands-on data science experience with a proven track record of deploying ML models to production • Expert-level proficiency in SQL and Python , with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) • Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) • Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques • Experience with model deployment, monitoring, and MLOps practices • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications • US Healthcare industry experience , particularly in Health Insurance and/or Medical Revenue Cycle Management • Experience with healthcare data standards (HL7, FHIR, X12 EDI) • Knowledge of healthcare regulations (HIPAA, compliance requirements) • Experience with deep learning frameworks (TensorFlow, PyTorch) • Familiarity with real-time streaming data processing • Previous leadership or mentoring experience