5480 Deep Learning Jobs - Page 26

Role & responsibilities *Collaborate with domain experts in the organization to understand design workflows extract actionable insights/opportunities. * Develop tools, scripts, or models to automate design and drafting workflows like drawing generation, clash detection, material estimation. * Analyze large volumes of design data like piping layouts, cable schedules, structural loads to derive insights or identify inconsistencies. * Design and implement ML models to optimize engineering workflows like drawing classification, component recognition, clash detection, layout optimization * Develop AI-powered tools for drawing review, quantity take-off, change detection, and model validation * Integrate AI models into engineering software environments and apply natural language processing (NLP) / computer vision techniques to automate tasks like image tagging, design pattern recognition, or content generation. * Build predictive or optimization models to support Structural load optimization, Cable routing and I/O allocation, Piping/material layout optimization. * Integrate with or extract data from 3D modeling tools (e.g., AVEVA E3D, AutoCAD, SmartPlant, MicroStation, STAAD, Tekla). * Stay up-to-date with the latest advancements in data science, machine learning, and design tools to continuously innovate and improve automation solutions. Preferred candidate profile *Overall 6+ years of experience in data science, machine learning frameworks and libraries * Atleast 2 years of experience in O&G domain. * Proficiency in Python along with pandas, scikit-learn, PyTorch/TensorFlow libraries. * Experience with computer vision for drawing/model analysis. * Knowledge of data processing tools, techniques and working with large datasets. * Understanding of engineering documentation and deliverables: GA drawings, P&IDs, cable schedules, structural drawings * Strong problem-solving abilities, analytical thinking with an ability to troubleshoot and resolve issues.

Position Description: About the role: As a Product Data Scientist at CGI, You will play a pivotal role in validating assumptions, conducting in-depth data analysis, and collaborating with cross-functional teams to generate actionable insights. Your expertise will support product development, enhance data-driven decision-making, and contribute to the design and implementation of innovative features leveraging Large Language Models (LLMs) and Agentic AI frameworks. You will be instrumental in translating complex data structures into meaningful insights, ensuring data integrity, and fostering a data-centric culture within the organization. Proficiency in SQL for data querying. Familiarity with Python and R for data analysis and machine learning. Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of LLM frameworks (e.g., OpenAI, Hugging Face) is a plus. Strong analytical skills to interpret complex datasets. Excellent communication skills for collaboration and presentation. Skills: Analytical Thinking.

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 : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIsWe're looking for a visionary AI Research and Innovation Practitioner to develop new algorithms, enhance existing models, and explore novel applications of AI to address complex challenges faced by our clients. The position is open across multiple areas of AI and Gen including Speech and Audio, Computer Vision, Natural Language Processing and Multimodal AI. We also have emerging research tracks on Agentic AI autonomous, goal driven intelligent systems that can reason, plan, and adapt using AI. Are you a PhD in CS/EE/Math/AI/Statistics or similar disciplines from a top tier institute (IIT/IISc/ISI/IIIT) and experienced in Artificial Intelligence/Machine Learning/Natural Language Processing/Computer Vision/Speech Processing/Multi Modal Processing, then we would love to talk to you. Are you passionate about cutting edge research and making tangible impact, this is your opportunity to lead innovation at scale. Join Accentures Centre for Advanced AI (CAAI), where world-class AI research meets real-world enterprise impact. Your key responsibilities will include (a) Building novel solutions to the challenging problem faced by industry (b) Collaboration with Responsible AI, Delivery leads, and Academia (c) Real world applications:digital assistants, healthcare agents, enterprise automation (d) Leading research and publishing in top tier conferences (e) Mentoring and building the next wave of AI talent. The locations where candidate can be posted are Bangalore, Hyderabad, Mumbai, Pune, Chennai, Gurgaon, and NCR. Qualification Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs

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 : Data Science Good to have skills : NAMinimum 5 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, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. 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.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data analysis and statistical modeling techniques.- Experience in deploying AI models in cloud environments like AWS, Azure, or Google Cloud.- Familiarity with data preprocessing and feature engineering techniques. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- 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 : Computer Vision Good to have skills : NAMinimum 12 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, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and pipelines. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- 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 : Natural Language Processing (NLP) Good to have skills : NAMinimum 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 also explore the integration of generative AI models into your projects, while collaborating with cross-functional teams to enhance the functionality and performance of the systems you develop. Your role will require a blend of creativity and technical expertise to address complex challenges in the field of artificial intelligence. 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 team members to brainstorm innovative ideas and approaches.- Conduct thorough testing and validation of AI models to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or Java.- Knowledge of data preprocessing techniques and data management. Additional Information:- The candidate should have minimum 3 years of experience in Natural Language Processing (NLP).- 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 : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. 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.- Develop applications and systems using AI tools and Cloud AI services.- Implement deep learning and neural networks in solutions.- Create chatbots and work on image processing tasks.- Collaborate with team members to provide innovative solutions.- Stay updated with the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques including data cleaning, transformation, and normalization. Additional Information:- The candidate should have a minimum of 3 years of experience in Large Language Models.- 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 : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will require a balance of technical expertise and leadership skills to drive the project forward successfully. 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.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Machine Learning.- Good To Have Skills: Experience with cloud computing platforms.- Strong understanding of machine learning algorithms and their applications.- Familiarity with data preprocessing and feature engineering techniques.- Experience in deploying machine learning models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Machine Learning.- 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 We are looking for an economic analyst to engage in on-soil data analytics and economic research for the European region. This individual will report to the Director, Senior Economist, Europe, and will have the following responsibilities: Support client and stakeholder engagements for MEI across Europe Support collaboration with external clients, academic institutions, and industry partners. Develop and test hypotheses at the intersection of economics and retail and commerce. Assist in structuring work at the stream or small project level. Identify creative analyses and develop proprietary diagnostic indices by analyzing large and complex datasets, including big data and macroeconomic data Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to R&C economic research; share and leverage to continuously improve quality and productivity. All About You Bachelor's degree in Economics (preferred), Statistics, or Mathematics. Proficiency in SQL and data visualizations Ability to think critically and problem solve, willingness to learn Excellent communication Expertise in R, Python, or other major programming language is essential Experience using data visualization tools like Tableau Power BI. Knowledge of JavaScript for visualization is a plus. Proficiency in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods desirable

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 : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 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, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into cohesive systems that address complex challenges. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine 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 techniques and tools for text data.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 12 years of experience in Natural Language Processing (NLP).- 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 : Natural Language Processing (NLP) Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIsWe're looking for a visionary AI Research and Innovation Lead to develop new algorithms, enhance existing models, and explore novel applications of AI to address complex challenges faced by our clients. The position is open across multiple areas of AI and Gen including Speech and Audio, Computer Vision, Natural Language Processing and Multimodal AI. We also have emerging research tracks on Agentic AI autonomous, goal driven intelligent systems that can reason, plan, and adapt using AI. Are you a PhD in CS/EE/Math/AI/Statistics or similar disciplines from a top tier institute (IIT/IISc/ISI/IIIT) and experienced in Artificial Intelligence/Machine Learning/Natural Language Processing/Computer Vision/Speech Processing/Multi Modal Processing, then we would love to talk to you. Are you passionate about cutting edge research and making tangible impact, this is your opportunity to lead innovation at scale. Join Accentures Centre for Advanced AI (CAAI), where world-class AI research meets real-world enterprise impact. Your key responsibilities will include (a) Building novel solutions to the challenging problem faced by industry (b) Collaboration with Responsible AI, Delivery leads, and Academia (c) Real world applications:digital assistants, healthcare agents, enterprise automation (d) Leading research and publishing in top tier conferences (e) Mentoring and building the next wave of AI talent. The locations where candidate can be posted are Bangalore, Hyderabad, Mumbai, Pune, Chennai, Gurgaon, and NCR. Qualification Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs

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 : Machine Learning Operations Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- 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 skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- 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 : NAMinimum 5 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, utilizing generative AI models, and ensuring the integration of deep learning, neural networks, chatbots, and image processing technologies into your projects. You will collaborate with various teams to enhance the functionality and performance of AI-driven applications, contributing to innovative solutions that meet the needs of the organization and its clients. 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.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. 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 natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, interpreting results, and providing insights that inform strategic decisions, all while fostering a culture of innovation and continuous improvement within the team. 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 and mentorship within the team to enhance overall capabilities.- Develop and implement best practices for data analysis and model development to ensure high-quality outputs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning frameworks and libraries such as TensorFlow or PyTorch.- Proficiency in programming languages such as Python or R for data analysis.- Familiarity with data visualization tools to effectively communicate insights. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- 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 : Computer Vision Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. We are hiring an AI Research and Innovation Sr. Principal to focus on model refinement, including fine-tuning, alignment, safety, and evaluation of AI models. This role is critical for ensuring our models are robust, responsible, and aligned with human values. Roles & Responsibilities:- Lead efforts in supervised fine-tuning, reinforcement learning from human feedback (RLHF), and instruction tuning. Innovate on techniques for continual learning and domain adaptation.-- Understand LLM fine tuning techniques such as PEFT, LoRA, QLoRA etc-- Develop evaluation frameworks for model safety, bias, and performance.- Collaborate with multiple stakeholders like policy and Responsible AI teams to ensure responsible AI practices, consulting team to provide technical depth in AI, studio team to position our findings for client pitches, business team to arrive at a research roadmap, academia and industry partners for pushing the research boundaries.- Publish and present novel and innovative research findings in top AI venues.- Develop an internal AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.- Support client engagements by providing consulting and solutioning for complex client problems by brining in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI- Overall experience 10-12 years and Relevant experience (post PhD) 5+ years.- Experience with evaluation metrics and safety benchmarks.- Familiarity with human-in-the-loop systems and feedback collection.- Multi Modal AI Model Building and Fine tuning- Proven track record of innovation and publications. Additional Information:- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Here is how, through this exciting role, YOU will contribute to BMC's and your own success: We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. Developing APIs and microservices to expose AI/ML models for enterprise applications. Processing and analyzing structured & unstructured data, including text, images, and time-series data for AI/ML applications. Optimizing ML models for performance and scalability, ensuring low latency and high availability in production. Staying updated with advancements in GenAI, NLP, transformers, and deep learning architectures to drive innovation. Collaborating with cross-functional teams to integrate AI capabilities into existing applications and workflows. To ensure youre set up for success, you will bring the following skillset & experience: Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. Whilst these are nice to have, our team can help you develop in the following skills: Experience with knowledge graphs, semantic search, and enterprise AI applications. Additional experience with .NET v7+ and cross-platform .NET development would be helpful. Exposure to IBM z/OS mainframe environments and AI-driven optimization for legacy systems. Background in statistical data analysis, reinforcement learning, or advanced ML techniques.

About this role: Aurigo is leading the charge in transforming enterprise SaaS for infrastructure, and AI is at the core of this revolution. With Aurigo Lumina, our AI copilot, we are redefining how infrastructure owners interact with Masterworks, driving smarter, faster, and more efficient decision-making. We have set up AI Labs to build AI-powered software and transform Aurigo into an AI-first company. We have AI initiatives across the products and platforms. As Platform and Applied AI Manager based in Bengaluru, you will lead a world-class team to build cutting-edge products/solutions, production grade AI/Gen AI platforms, build AI agents while addressing critical challenges such as AI governance, bias, drift, and scalability. The role involves building predictive and prescriptive AI models, building domain-specific AI models for full construction lifecycle with AI governance, security, and responsible AI. This role demands a hands-on leader who can translate and execute complex AI capabilities into clear, compelling business value. If you’re ready to power the next frontier of enterprise SaaS innovation and shape the future of AI in infrastructure, we want you at the helm. The ideal candidate will fulfil these skills and requirements. Top Skills Machine Learning & Data Science Expertise: You have proven experience in designing, building, and deploying ML, NLP, and Generative AI models in production environments. Gen AI and Agentic AI: Strong experience in building, deploying and monitoring Gen AI and Agentic AI solutions using the latest LLMs in cloud environment. AI Governance & Risk Management: You can demonstrate strong knowledge of addressing AI risks, including bias, model drift, scalability, and ensuring fairness and transparency. Technical Leadership: Your experience reflects your ability to lead R&D efforts in cutting-edge AI technologies like Agentic AI, Multi modal models, LLMs, computer vision, and deep learning. Strategic Communication: You can articulate our AI offering value propositions clearly and equally comfortable with technical teams, and non-technical stakeholders. Mentor data scientists and data engineers on end-to-end data science life cycle Driving discussions with the Aurigo platforms and work across the product teams to implement the AI initiatives Responsible for Agentic AI development and deployment Requirements: Advanced Engineering degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Ability to inspire teams and translate complex ideas into actionable roadmaps. Lead by example with hands-on experience from PoC to Production. Provide technical leadership and strategic direction for AI initiatives focused on agentic systems. Proven track record of driving measurable outcomes and delivering scalable, impactful AI products and platforms. Bridge business requirements with technical solutions, leading data transformation initiatives, and establishing standards across the organization. 8+ years of experience in AI/ML, with at least 4 years in leadership roles. 3+ years specifically focused on designing and implementing Gen AI solutions 5+ years of experience with cloud data platforms, particularly AWS. Deep knowledge of Gen AI, Agentic AI, Machine learning, Deep Learning, Data science, Data pipelines and MLOps. Good understanding of AI governance principles, including fairness, transparency, and accountability. Experience of building autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Strong expertise with LLMs (e.g., GPT, Claude, Mistral) Proficiency in cloud platforms for AI architecture: AWS Bedrock, AWS SageMaker with a deep understanding of their AI service offerings. People Management: Excellent abilities in attracting, inspiring, and keeping talent. Experience leading and mentoring technical teams Experience with regulatory frameworks related to AI ethics, governance, and compliance. Experience in integrating AI into customer-centric products. Curiosity to learn new technologies and show the business value using those technologies Demonstrated experience in driving innovation Analytical thinking and problem-solving ability Drive the planning, development, execution and deployment of AI/Gen AI projects About Aurigo Aurigo is revolutionizing how the world plans, builds, and manages infrastructure projects withMasterworks, our industry-leading enterprise SaaS platform. Trusted by over 300 customers managing $300 billion in capital programs, Masterworks is setting new standards for project delivery and asset management. Recognized as one of the Top 25 AI Companies of 2024 and aGreat Place to Workfor three consecutive years, we are leveraging artificial intelligence to create a smarter, more connected future for customers in transportation, water and utilities, healthcare, higher education, and the government, with over 40,000 projects across North America. At Aurigo, we don’t just develop software—we shape the future. If you’re excited to join a fast-growing company and collaborate with some of the brightest minds in the industry to solve real-world challenges, let’s connect. Competencies

About the Role: We are seeking a highly skilled AI Developer with expertise in Deep Learning, and Generative AI to design, build, and deploy scalable AI solutions. The role involves working on image/video processing, NLP, multi-agent systems, and enterprise-grade automation workflows. The ideal candidate is passionate about research-driven development and creating high-impact AI tools for real-world applications. Key Responsibilities Research, design, and develop deep learning models for computer vision, image enhancement, background removal, object detection, OCR, and visual automation. Fine-tune transformer and generative AI models (LLMs, GANs, Diffusion models) for domain-specific applications. Deploy AI solutions on AWS cloud (EC2, S3, Lambda) with scalable and production-ready pipelines. Develop Dockerized microservices for smooth integration into enterprise workflows. Experiment with emerging AI frameworks (Hugging Face, LangGraph, CrewAI, AutoGen, OpenAI SDK) to build innovative prototypes. Collaborate with cross-functional teams to integrate AI solutions into production systems. Conduct research experiments, document findings, and continuously improve model performance. Build automation systems for visual and language content workflows in enterprise settings. Required Skills & Expertise Strong programming skills in Python, OpenCV, PyTorch, TensorFlow, Keras, Scikit-Learn, Numpy. Experience with computer vision techniques (YOLO, OCR, background expansion, image restoration). Knowledge of NLP, LLMs, agentic AI frameworks, and generative models. Hands-on expertise with GANs, Stable Diffusion, Autoencoders. Cloud & DevOps: AWS, Docker, CI/CD, scalable deployments. Strong foundation in mathematics, probability, and statistics. Ability to research and implement cutting-edge AI solutions for enterprise-grade use cases. Qualifications Bachelors Degree in Electronics Engineering. Post Graduate Program in Data Science & Data Analytics. 4+ years of professional experience in AI, ML, and Computer Vision projects across global clients. Nice-to-Have Experience with educational AI tools (OCR for math equations, chemistry parsers, automated grading systems). Prior work on visual automation for enterprise creative workflows. Familiarity with multi-agent AI frameworks for task automation.

Role Purpose The person will be primarily responsible for automating business problems and key business processes through AI/ML/NLP and GenAI Capabilities. Should have experience in machine learning and GenAI based solutions or products at production Minimum 6+ years of experience with designing and implementing AI/ML model, out of which minimum 3+ years on implementing GenAI based solutions Must have delivered at least one GenAI based Solutions into production or POC level. Must have Good programming skills with Python. Experience in LLMs/Open Source LLMs (like ChatGPT, LLama, Gemini, Mixtral etc.) and Langchain/Lamaindex frameworks.Knowledge of ML frameworks (TensorFlow, PyTorch, OpenCV) and familiarity with deep learning concepts is a must Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization (Docker, Kubernetes). Understanding of key Machine learning/AI algorithms is must. Expertise in visualizing and manipulating big datasets using Matplotlib or Plotly Mandatory Skills: RPA .Experience: 5-8 Years .

Job type : CONTRACT Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

Job type : CONTRACT Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

Salary : 40 to 55 LPA Exp: 8 to 12 years Location :Gurugram Hybrid Notice: Immediate to 30 days..!! Roles & responsibilities: 7+ years exp on Python , ML and model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 8+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Perficient India is looking for Lead Kore AI Developer to join our dynamic team and embark on a rewarding career journey Design, develop, and implement AI and ML models and algorithms to solve complex business problems Develop and implement prototypes and production-ready models using programming languages such as Python, R, or Java Perform data analysis, data preparation, and feature engineering to create datasets that are appropriate for AI and ML models Perform model selection, optimization, and evaluation to ensure that models meet business requirements and are accurate and reliable Develop and implement data pipelines, data storage solutions, and data visualization tools to support AI and ML models Deploy models to production environments and monitor their performance and accuracy over time Experience in AI and ML development

Job description: - Senior Data Scientist Organization : - Ray Business Technologies is a CMMI Level 3, ISO 27001:2013 Certified Company and The Member of NASSCOM, AIIA, NJTC and HYSEA. About Organization : Ray Business Technologies (RBT) is a global Information Technology (IT) Solutions company. Ray Business Technologies offers IT Solutions for Artificial Intelligence (AI), ERP, CMS, CRM, EAI to BFSI, Retail, Online commerce, Healthcare, Manufacturing, Media, Agriculture and Telecom verticals. Founded in 2009, 15 years of trust, A CMMI Level 3 Certified company. Responsibilities : Sound knowledge on Machine Learning, Deep Learning, statistical modelling, data analytics, algorithmic problem solving. Should poses a sound knowledge in R & D (Build from Scratch). Hands on Experience working components like- DL, Transform model, LLM, NLP, Computer Vision etc. Hands on experience in implementing Deep Learning technique. Hands on Experience of Natural Language Processing (NLP) techniques. Hands on experience in OCR technology. Inclination towards Mathematics / Statistics. Nice to have MS Excel skill, Reporting. Experience in object-oriented programming. Hands on Experience of Python or R. Good Knowledge on Cloud Technology (Azure cloud platform). Requirements: 4 - 8 years of experience in a data science or analytics role, with a proven track record of leveraging analytics to drive significant business impact. Excellent communication skills with the ability to translate complex findings into actionable insights for non-technical stakeholders. Strong knowledge of machine learning techniques (e.g., classification, clustering, regression), and experience applying them to real-world problems. Strong analytical and problem-solving skills, with a keen attention to detail. Experience with cloud platforms (e.g., Azure) and big data technologies (e.g., Hadoop, Spark) is a plus. Benefits : Competitive salary and comprehensive benefits package. Opportunities for professional development and career growth. Dynamic and collaborative work environment with talented colleagues.

Job Overview We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin. The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment. Responsibilities Lead the design, development, and deployment of end-to-end computer vision and deep learning models Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred) Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection) Develop and maintain datasets, perform data augmentation, and ensure quality training inputs Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML Requirements Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis) Proficiency in Python, C++, TensorFlow, PyTorch Strong understanding of model optimization techniques for edge deployment Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier (IGX Orin highly preferred) Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Solid knowledge of vision tasks: object detection, tracking, classification, segmentation Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git) Preferred Qualifications Experience in industrial AI, medical imaging, or robotics Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments Familiarity with ONNX, OpenCV, ROS, or GStreamer Location: Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad