5480 Deep Learning Jobs - Page 10

As a Senior Manager - GenAI Architect at EY, you will be responsible for leading and designing advanced AI architectures that drive strategic business outcomes. Your role will involve a deep understanding of data management, application development, AI technologies, cloud solutions, and user interface design. You will collaborate closely with cross-functional teams to deliver robust and scalable solutions that align with our business objectives. **Key Responsibilities:** - **Architectural Design:** Develop and oversee data architectures and application frameworks that support AI initiatives. Ensure seamless integration of data and applications with existing systems to create cohesive and efficient solutions. - **AI Solutions:** Design and implement AI-driven models and solutions by leveraging machine learning, natural language processing, and other AI technologies to solve complex business problems. - **Cloud Integration:** Architect cloud-based solutions that support scalability, security, and performance for AI applications. Collaborate with cloud providers and internal teams to ensure optimal cloud infrastructure. - **User Interface Design:** Work with UI/UX teams to ensure that AI solutions have user-friendly interfaces and deliver an exceptional user experience. - **Leadership & Collaboration:** Lead a team of architects and engineers, providing guidance and support in the development of AI solutions. Collaborate with stakeholders across departments to align technical strategies with business goals. - **Strategic Planning:** Develop and implement architectural strategies and roadmaps that align with the company's vision and technology advancements. - **Go-To-Market Strategy (GTM):** Collaborate with onsite teams and senior architects to define and execute go-to-market strategies for AI solutions. Provide architectural insights that align with clients" needs and support successful solution development. - **Innovation & Best Practices:** Stay updated on industry trends and emerging technologies to drive innovation and implement best practices in AI architecture and implementation. **Qualifications:** - **Education:** Bachelors or Masters degree in Computer Science, Engineering, Data Science, Mathematics, or a related field. - **Experience:** Minimum of 14+ years of experience in a senior architectural role focusing on AI, data management, application development, and cloud technologies. **Technical Skills:** - Hands-on experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS, and/or Google Cloud. - Experience in using and orchestrating LLM models on cloud platforms (e.g., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI). - Proficiency in writing SQL and data modeling. - Experience in designing and implementing AI solutions using a microservice-based architecture. - Understanding of machine learning, deep learning, NLP, and GenAI. - Strong programming skills in Python and/or PySpark. - Proven experience in integrating authentication security measures within machine learning operations and applications. - Excellent problem-solving skills with the ability to connect AI capabilities to business value. - Strong communication and presentation skills. - Experience in AI/ML solution deployment processes on Kubernetes, Web Apps, Databricks, or similar platforms. - Familiarity with MLOps concepts and tech stack, including code versioning, MLFlow, batch prediction, and real-time endpoint workflows. - Familiarity with Azure DevOps, GitHub actions, Jenkins, Terraform, AWS CFT, etc. At EY, we are dedicated to building a better working world by creating new value for clients, people, society, and the planet while fostering trust in capital markets. Our teams, enabled by data, AI, and advanced technology, help shape the future with confidence and provide solutions for current and future challenges. Working across assurance, consulting, tax, strategy, and transactions services, EY teams leverage sector insights, a globally connected network, and diverse ecosystem partners to offer services in over 150 countries and territories.,

As an AI & Data Analyst Trainer at our company located in Saibaba Colony, your role involves training students and professionals in Artificial Intelligence, Machine Learning, and Data Analytics concepts. You will design and deliver sessions on Data Analysis, Predictive Modeling, Deep Learning, and NLP fundamentals. Your responsibilities also include providing hands-on training using Python, R, SQL, Tableau/Power BI, and ML libraries. It is essential for you to stay updated with emerging AI & Data Analytics trends and incorporate them into training modules. Key Responsibilities: - Train students/professionals in Artificial Intelligence, Machine Learning, and Data Analytics concepts. - Design and deliver sessions on Data Analysis, Predictive Modeling, Deep Learning, and NLP fundamentals. - Provide hands-on training using Python, R, SQL, Tableau/Power BI, and ML libraries. - Stay updated with emerging AI & Data Analytics trends and incorporate them into training modules. Qualifications Required: - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or related field. Additional Company Details: - Contact: +91 76049 68508 / +91 93617 55131 - Job Types: Full-time, Permanent - Work Location: In person Your success in this role will be driven by your strong knowledge of AI with machine learning, Deep Learning, and Data Analytics (Tableau, Power BI, SQL, Python, Advance Excel). Additionally, your excellent communication, presentation, and mentoring skills, along with the ability to simplify complex technical concepts for learners, will be crucial for effectively carrying out your responsibilities.,

Role Overview: As a Senior Analyst in the S&C Global Network - AI - Healthcare Analytics team at Accenture, your role will involve driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions in the healthcare domain. Key Responsibilities: - Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. - Conduct data wrangling and analysis on healthcare claims, provider datasets, and publicly available health data. - Develop predictive models using data science and AI techniques to address client needs. - Utilize natural language processing (NLP) capabilities to extract insights from unstructured data sources. - Collaborate with cross-functional teams to implement analytics solutions effectively. - Work with Managers to understand Client's business requirements and deliver Analytics-driven solutions. - Generate actionable recommendations supported by quantitative analysis to help clients address ongoing problems. - Present analytic findings & improvement opportunities to senior management and summarize key findings for organization-wide dissemination. - Build a knowledge base and share information on the application of various analytical techniques. - Develop statistical models and deliver analytic offerings and solutions in health domain areas. Qualification Required: - 3-5 years of experience in Healthcare Analytics. - Bachelor's / master's degree in computer science, statistics, applied mathematics, or a related field. - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. - Experience in resolving complex data issues creatively and effectively. - Strong people management skills both at client sites and in an offshore environment. - Proficient in data handling suites such as PYTHON, Spark, SQL, or similar packages. - Excellent written and oral communication skills to convey ideas and results clearly to non-technical stakeholders. - Experience working with cloud providers like AWS, Azure, GCP. Additional Information: Accenture offers an opportunity to work on innovative projects, career growth, and leadership exposure. (Note: Company details have been omitted as there was no specific section dedicated to this in the provided job description),

Job Summary: We are seeking a highly skilled Python Developer with expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks . The ideal candidate will lead the design, development, and deployment of AI-driven solutions, mentor team members, and collaborate with stakeholders to deliver cutting-edge intelligent applications. Key Responsibilities: Lead end-to-end development of AI/ML projects leveraging Python and advanced AI frameworks. Design and implement LLM-based architectures (e.g., OpenAI, Llama, Claude, etc.) for real-world applications. Build and optimize RAG pipelines for knowledge-grounded conversational AI. Develop and integrate Agentic AI frameworks for autonomous task execution and orchestration. Implement APIs, microservices, and scalable solutions for production deployment. Guide and mentor junior developers and contribute to technical decision-making. Stay updated with the latest trends in Generative AI, NLP, and Deep Learning . Required Skills & Qualifications: Strong programming experience in Python (3+ years). Hands-on expertise with LLMs, RAG architectures, and vector databases (e.g., FAISS, Pinecone, Weaviate). Experience with Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, Haystack, etc.). Strong knowledge of NLP, Transformers, and Prompt Engineering . Experience with cloud platforms (AWS/Azure/GCP) and MLOps practices. Familiarity with containerization (Docker, Kubernetes) for scalable AI deployment. Excellent problem-solving, leadership, and communication skills. Interested professionals can share updated CV on deepti.vyas@smartdatainc.net or call on 9664338930.

We are pleased to connect with you regarding an exciting leadership opportunity at our organization. We are currently seeking a highly accomplished professional for the role of Senior Technical Specialist Data Science (AI/ML), based in Chennai. Mode of Hiring: FTE, Full time JOB Position: Lead Data Science Engineer(AI/ML) Location: Chennai, India- On-site Tech Stack: AI/ML, Data Science, LangChain, Python, GenAI, Azure OpenAI Experience:10-14 years This role offers the platform to spearhead cutting-edge AI/ML initiatives, design scalable data-driven solutions, and contribute strategically to the organizations innovation roadmap. The ideal candidate will bring 12+ years of rich experience in AI/ML, Cloud (Azure), DevOps, and MLOps, along with a strong background in data science and advanced analytics. Key Highlights of the Role: Lead and mentor a team of Data Scientists to deliver impactful AI/ML solutions. Architect end-to-end Machine Learning & Generative AI applications leveraging technologies such as LangChain, Azure OpenAI, TensorFlow, and PyTorch. Build and optimize MLOps pipelines with MLFlow, Kubeflow, and Azure ML. Collaborate with business leaders to define AI strategy and drive innovation. Stay ahead of industry trends to enhance model efficiency and scalability. Essential Expertise: Programming (Python, PowerShell, Bash, Perl) AI/ML Frameworks (TensorFlow, PyTorch, XGBoost, BERT) NLP & Generative AI (LangChain, LlamaIndex, Spacy) Cloud & MLOps (Azure ML, Docker, Jenkins, MLFlow) Visualization Tools (Power BI, Tableau, Streamlit). If this opportunity aligns with your aspirations, we would be delighted to connect and explore further. Kindly share your updated resume with the required details: harikrishna@treeht.com Current CTC: Excepted CTC: Notice period: Any Offers / Pipeline: Current Location: Preferred location: Looking forward to your response.

Role Overview We are seeking a highly skilled developer with 3-5 years of deep, hands-on experience in Artificial Intelligence and Machine Learning to design and build advanced assets for our Agentic AI solutions. The ideal candidate will demonstrate exceptional knowledge in AI/ML algorithms and frameworks, a serious track record in deploying models at scale, and strong expertise working with Large Language Models (LLMs). Key Responsibilities Design, implement, and optimize complex AI/ML assets and models for agentic AI solutions. Lead research and prototyping efforts in ML and AI algorithm development, with a focus on advancing the core intelligence of agentic AI systems. Develop, fine-tune, and experiment with Gen AI LLMs, working with state-of-the-art architectures and leveraging the latest research in natural language processing and generative AI. Apply advanced techniques such as transfer learning, reinforcement learning, and retrieval-augmented generation (RAG). Collaborate closely with product, engineering, and research teams to benchmark performance, drive technical innovation, and set the direction for AI/ML initiatives. Understand requirements on domain specific use cases and implement AI/ML solutions Required Skills & Qualifications 3-5 years strong professional experience as an AI/ML engineer, data scientist, or research scientist. Strong knowledge on Agent to Agent communication and development of Agentic AI frameworks Experience with vector search/vector databases, knowledge graphs, and data pipelines for RAG-based systems. Expert-level Python programming skills and fluency in libraries and toolkits such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, Hugging Face, etc. In-depth knowledge of classical and advanced machine learning algorithms, deep learning, neural network architectures, and their real-world applications. Demonstrable experience building and fine-tuning LLMs (such as GPT, Llama, Mistral, etc.) and integrating them into robust solutions. Strong background in state-of-the-art ML methodologies: prompt engineering, embeddings, transformers, self-supervised and unsupervised learning, RLHF, etc. Experience with production-level deployment of AI/ML models, cloud-based ML infrastructure (AWS/GCP/Azure/IBM Cloud), containerization (Docker), and scalable MLOps practices. Developing Solutions Aligned with AI Governance and Ethical AI Standards Nice to Have Familiarity with agentic AI frameworks or multi-agent systems. Publications, patents, or open-source contributions in AI/ML. Strong analytical and communication skills. UIUX Knowledge and framework RDBMS and NoSQL database knowledge Knowledge on AIML model finetune Mandatory skills Python Machine Learning (ML) Deep Learning (DL) Natural Language Processing (NLP) Generative AI Agentic AI multi Agent frame works Crew AI Approaches Generative AI • Prompt engineering • LLM fine-tuning (e.g., using Hugging Face, LoRA) and other models/ approaches

Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems. Take ownership to drive computer vision solutions and meet customer requirements.

Job Role: Lead Data Scientist Job Location: Jaipur Job Type: Permanent Experience Required: 5+ years Job Summary: We are looking for an experienced Lead Data Scientist to head our AI and Machine Learning initiatives. This role is perfect for a professional who can drive innovation in Classical Machine Learning, Conversational AI, and Deep Learning Systems while also providing technical leadership and strategic direction to a team of data scientists. The Lead Data Scientist will be responsible for overseeing model development, optimizing AI-driven solutions, mentoring junior team members, and collaborating with key stakeholders to align AI strategies with business goals. The ideal candidate should possess deep expertise in NLP, Large Language Models (LLMs), Generative AI, and MLOps to lead the development of scalable AI-driven solutions. Responsibilities: Define and drive the AI/ML strategy with alignment with business objectives. Lead the research, design, and development of cutting-edge machine learning and deep learning models, including LLMs, GANs, VAEs, Transformers, CNNs, and RNNs. Establish best practices for data pipelines, feature engineering, model deployment, and AI governance. Evaluate emerging AI/ML technologies and recommend their adoption where beneficial. Architect and implement Generative AI solutions with a focus on improving conversational AI experiences. Optimize LLMs (GPT, BERT, T5, etc.) for various business applications, including prompt engineering, fine-tuning, and model interpretability. Work on text generation, semantic search, intent recognition, and AI-driven recommendation systems. Oversee end-to-end model lifecycle, from data collection and preprocessing to model deployment and monitoring. Implement MLOps best practices to streamline model retraining, CI/CD for ML pipelines, and productionization. Optimize models using hyperparameter tuning techniques such as grid search, Bayesian optimization, and neural architecture search. Lead and mentor a team of data scientists and ML engineers Conduct code reviews, design discussions, and knowledge-sharing sessions. Guide junior team members on best practices in data science, deep learning, and software engineering. Partner with engineering, product management, and business stakeholders to integrate AI solutions into production. Qualifications & Experience : Educational Background: Bachelor's or Masters in Computer Science, Data Science, AI, Statistics, or a related field. Experience: 5+ years of hands-on experience in machine learning, deep learning, NLP, and AI-driven applications. Machine Learning & AI: Proficiency in Classical ML (Regression, Decision Trees, Random Forests, SVMs, Gradient Boosting, etc.) and Deep Learning (CNNs, LSTMs, GANs, Transformers, etc.). LLM & NLP Expertise: Strong experience with GPT, BERT, T5, Hugging Face Transformers, NLTK, and SpaCy. Programming & Tools: Proficiency in Python, PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, and MLOps tools (MLflow, Kubernetes, Docker, AWS SageMaker, Azure ML, etc.). Big Data & Cloud: Experience working with large-scale datasets, cloud-based AI solutions (AWS, Azure, GCP), and distributed computing frameworks (Spark, Dask, Hadoop). Model Deployment: Strong understanding of APIs, CI/CD pipelines for ML models, containerization (Docker, Kubernetes), and model monitoring. Soft Skills & Leadership: Strong leadership skills with the ability to mentor and develop junior data scientists. Exceptional problem-solving and critical-thinking abilities. Strong communication skills to effectively convey complex AI concepts to business stakeholders. Proactive ownership of projects, ensuring timely delivery and alignment with business needs. Ability to manage multiple projects and prioritize effectively in a fast-paced environment. Thanks & Regards Sulabh Tailang HR-Talent Acquisition Manager |Celebal Technologies |91-9448844746 Sulabh.tailang@celebaltech.com|LinkedIn-sulabhtailang |Twitter-Ersulabh Website-www.celebaltech.com

Job Description: 2+ years of experience building AI/ML based products with predictive and prescriptive analytics capabilities. Hands on experience with Python and AI/ML libraries. Tools - must: PyTorch/Tensorflow, Scikit-Learn. Good to have: Flask, Django, FastApi, GenAI, NLP ,MLOps, Any Vector db Proficiency in machine learning techniques and data mining algorithms such as Regression, Clustering, Classification, Decision trees, KNN and SVM. Ability to design algorithmic implementation for performing real-time and scalable learning machines. Good communication and presentation skills. Bachelors/Masters in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred. Must possess a balance of analytic problem solving and strong interpersonal and relationship development skills. What will excite us: Ability to understand non-functional requirements such as scalability, security, application monitoring, performance etc. Prior experience with Domain Driven Design (DDD). Good experience with Test Driven Development. What will excite you: Opportunity to work on large scale enterprise solution building. Opportunity to explore new technologies & frameworks with accomplished solution architects & industry leaders. Will get exposure to latest aspects of security, AI/ML, Business Domain and data analytics. Here are some of the technologies we work with day-to-day right now: EF Core/SQL/MongoDB Workflow Foundation WPF with prism based pluggable architecture Biometric Device Integrations Ocelot, Consul Containerization and CI/CD KeyCloak as Auth Service Provider Chatbot framework - Integration with messaging services Enterprise grade multi-tenant architecture implementation Here are a few recent projects you might have worked on if you were already part of the team: Applicant Tracking System: B2B Solution with enterprise grade architecture Multitenancy support Refactoring legacy application to latest technology stack using domain driven design approach Containerization ElasticSearch and NoSQL Integrations for faster operations Event sourcing and CQRS design pattern Integration framework with various echo systems Platform support for third party applications Location : Ahmedabad

What this job involves: About the Role We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

**Position Overview:** We are seeking for an experienced AI Researcher with a focus on marketing research to join our dynamic team. The ideal candidate should have a strong background in trend analysis, industry study, and providing actionable insights that will inform our brand strategies and target key regions effectively. **Key Responsibilities:** - Conduct comprehensive marketing research to identify industry trends and consumer behaviors. - Analyze data from various sources, utilizing AI tools and methodologies to extract meaningful insights. - Develop reports and presentations summarizing findings, showcasing key insights and recommendations. - Collaborate with marketing and strategy teams to align research findings with business goals. - Identify key regions and market sectors for brand expansion and focus. - Stay updated with industry trends and innovations in AI and marketing, applying this knowledge to enhance research methodologies. **Qualifications:** - Bachelors or Masters degree in Marketing, Business Analytics, Data Science, or a related field. - Proven experience in marketing research and trend analysis, preferably in an AI context. - Strong analytical skills with the ability to interpret complex data sets and provide strategic insights. - Experience using AI tools for research and data analysis. - Excellent communication and presentation skills, with the ability to convey insights clearly. - Collaborative mindset with the ability to work effectively within a team. **Preferred Skills:** - Familiarity with marketing automation tools and data visualization software. - Understanding of digital marketing trends and strategies. - Experience in implementing research findings into actionable marketing strategies.

About the Role #JLLTechAmbitions We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

About the Role #JLLTechAmbitions We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! About The Role Role SME- IVA Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products You will remain rooted as an engineer, a designer, and a technologist while leading a team.You take complete ownership of timely product delivery with impeccable software quality. You have the ability to navigate the teams through fast changing market needs. You possess strong people leadership skills in mentoring the young engineers Experience 4+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Hands on with C++, OOPS, Computer Vision, OpenCV, TensorFlow, Web Orientation, Web Development, OpenCV, Image Processing. Hands-on experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Strong programming skills using Python and C++ Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors What your day might look like (Role) The SME - Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What do we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual. Look no further. Click on Apply and we will reach out to you soon!

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. About The Role Role Computer Vision Engineer/Sr. Engineer- (IVA/AI) Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. Experience 2+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Good experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Good to have programming skills using Python and C++ Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors. How your day might look like The Engineer- Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual, Look no further. Click on Apply and we will reach out to you soon!

Qualifications & Skills: Bachelors degree in computer science, Software Engineering, or a related field. 4+ years of proven experience as a Python Developer. Strong proficiency in Python and the Machine Learning (ML). Candidate must have BFSI / Banking (at least 1 to 3 years) domain experience. Candidate should be ready to relocation and travel as per the demand. Below is the JD for your reference. Proficient in Python with ML libraries, Scikit-learn, TensorFlow, PyTorch, Keras. Experienced in data analysis, visualization: NumPy, Pandas, Matplotlib, Seaborn. Strong in ML algorithms: regression, classification, clustering, ensemble, time-series. Knowledge of deep learning: CNNs, RNNs, Transformers. Skilled in NLP tools: NLTK, SpaCy, Hugging Face. Hands-on with PySpark for large-scale data processing. Familiar with cloud platforms (AWS, Azure, GCP) and tools (Docker, Kubernetes, MLflow). Good in SQL,NoSQL databases. Understanding of MLOps: CI/CD, model monitoring, versioning. Strong problem-solving and analytical skills. Good communication and teamwork in agile environments.

You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Your primary responsibilities will include: Proof of Concept (POC) DevelopmentDevelop POCs to validate and highlight the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Solution Implementation and DeploymentOversee the implementation and deployment of AI solutions, working closely with development teams to ensure adherence to best practices, quality standards, and performance requirements. Provide technical guidance and support during the implementation phase. Solution Optimization and PerformanceContinuously monitor and optimize the performance of AI solutions, including foundation models and large language models. Identify opportunities to enhance efficiency, accuracy, and speed through fine-tuning, algorithmic improvements, or infrastructure optimization. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.

Scale an existing RAG code base for a production grade AI application RequirementsProficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience Pyspark, SQL, Python About The Role Classical ML Model (either machine learning or deep learning) building experience with feature creation (not PoC experience)" Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment. Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.) Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama. Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications. Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development. Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact. Maintain reproducibility and version control using Git, GitHub Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 7–9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment. 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama). Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar. Strong programming skills in Python and experience with ML/DL libraries Experience deploying models via REST APIs or web applications. Proficient in SQL for data extraction, transformation, and analysis. Experience working with large datasets, feature engineering, and data preprocessing pipelines. Solid understanding of model evaluation, cross-validation, and performance metrics. Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations. Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud). Strong interpersonal and client communication skills.

Sr. AI/ML Engineer Overview Role: Senior AIML Engineer is responsible for designing and implementing an AI focused architecture involving different data sources (pdfs, excels, macros, APIs, etc) prepared for different models (ML,GenAI and LLMs) that work in a cohesive way for various use cases for the consumers. Engineer will also be responsible for finding AIML opportunities and implementing AI/ML solutions within Sales and Digital space to improve/enhance user experience, automate manual process and make predictive analysis in consumer journey and support with competitive analysis and study. The candidate should be proficient in Python and have a strong understanding of AI/ML concepts and techniques. Key Responsibilities: - Design, develop, and implement AI/ML models to solve complex business problems - Collaborate with cross-functional teams to identify opportunities for AI/ML integration - Conduct data analysis and interpret results to drive decision-making - Stay current with the latest trends and advancements in the field of AI/ML Job Qualification: Required Skills: Bachelors/ Master Degree in Computer Science/Information Technology or related field Minimum 12 or more years IT of experience with strong hands-on experience. • 6+ years of experience in Python using common data science libraries such as scikit-learn and Databricks • 3+ years of experience applying NLP (transformers, gpt,etc) in a production setting using large amounts of data • 3+ years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problems • Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses • Experience building APIs for the models Good experience with one of the cloud platforms (Azure, AWS or GCP). Having Azure cloud experience is more preferred. • Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience • Organized self-starter, with drive and commitment; able to work with little supervision • Strong analytical, quantitative, problem-solving, and critical thinking skills Nice-to-Have: • Experience using vision and speech models in GenAI

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various aspects of deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Continuously evaluate and improve existing AI models and applications to enhance performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with data preprocessing and augmentation techniques to improve model training.- Knowledge of software development best practices, including version control and testing methodologies. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : ServiceNow Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for a platform, product, or engagement. Your typical day will involve collaborating with various teams to define solutions that meet performance, capability, and scalability needs. You will engage in discussions to ensure that the architecture aligns with business objectives and technical requirements, while also addressing any challenges that arise during the development process. Your role will require you to stay updated with the latest technology trends and best practices to ensure that the solutions you propose are innovative and effective. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Evaluate and recommend new technologies to improve system performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow.- Strong understanding of cloud architecture and deployment models.- Experience with integration of ServiceNow with other enterprise applications.- Ability to design scalable and high-performance systems.- Familiarity with IT service management processes and best practices. Additional Information:- The candidate should have minimum 7.5 years of experience in ServiceNow.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential as you contribute to innovative projects that push the boundaries of AI capabilities. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to identify and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with team members and stakeholders will be essential as you contribute to innovative projects that push the boundaries of AI capabilities. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and design effective AI solutions.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Infrastructure Service Management, Critical Incident Management Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructure. Your typical day will involve collaborating with cross-functional teams to ensure that the infrastructure and platform environments are effectively deployed, while also creating proofs of architecture to validate their viability, security, and performance. You will be at the forefront of innovation, working on complex projects that require a deep understanding of cloud technologies and infrastructure management. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of cloud strategies that align with organizational goals.- Monitor and optimize cloud infrastructure performance to ensure reliability and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Infrastructure Service Management, Critical Incident Management.- Strong understanding of cloud architecture and deployment models.- Experience with automation tools for infrastructure management.- Familiarity with security best practices in cloud environments.- Ability to troubleshoot and resolve complex infrastructure issues. Additional Information:- The candidate should have minimum 3 years of experience in Infrastructure Service Management.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education