803 Neural Networks Jobs - Page 27

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 7.5 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 effectively into existing systems and workflows. 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 training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. 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 7.5 years of experience in Large Language Models.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

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 engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. 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 design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. 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 work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 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

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, 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 effective solutions that address real-world 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.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- 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 and services for deploying AI solutions.- Familiarity with data preprocessing and augmentation techniques.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 5 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

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, 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 workflows. 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 mentoring within the team to enhance overall performance.- Evaluate and implement new technologies and methodologies to improve project outcomes. 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 5 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

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 7.5 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 pipelines, ensuring the integration of generative AI models into solutions, and exploring various AI methodologies such as deep learning and neural networks. You will also work on enhancing user experiences through chatbots and image processing technologies, contributing to innovative projects that push the boundaries of AI capabilities. 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 and foster a culture of continuous learning.- Evaluate and implement best practices in AI and machine learning to improve project outcomes. 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 and services, particularly in deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 7.5 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

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, cucumber, eclipse 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 solutions effectively and enhance their functionality. 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 professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing AI systems and applications. 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 at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

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, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. 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.- 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 5 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

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. - Grade Specific Responsible for helping the company leverage data, working with the team of data scientists and engineers to provide valuable direction and make informed decisions concerning the product, growth, and engagement Skills (competencies)

Fusion Software Institute Kharadi Pune is looking for Data Science with AI Trainer to join our dynamic team and embark on a rewarding career journey. The AI Trainer is responsible for creating and delivering training programs to enable individuals and organizations to leverage AI technologies effectively This role involves designing curriculum, conducting training sessions, and providing ongoing support to ensure successful AI adoption Key Responsibilities:Curriculum Development:Design comprehensive training materials, including manuals, presentations, and hands-on exercises, to cover various aspects of AI concepts, tools, and applications Keep content updated with the latest advancements and industry best practices in AI Training Delivery:Conduct engaging and informative training sessions for diverse audiences, including developers, data scientists, business professionals, and other stakeholders Utilize a variety of teaching methods, such as lectures, workshops, and hands-on exercises, to accommodate different learning styles Customization:Tailor training programs to meet the specific needs of different groups or organizations, considering their industry, skill levels, and objectives Feedback and Assessment:Gather feedback from trainees to continuously improve training materials and delivery methods Develop and administer assessments to evaluate the effectiveness of the training programs Support and Consultation:Provide ongoing support to trainees, answering questions and addressing challenges they encounter during the application of AI technologies Offer consultation services to help organizations integrate AI into their existing workflows and projects Stay Current:Stay abreast of the latest trends, tools, and technologies in the field of AI to ensure the training content remains relevant and up-to-date

We are seeking a passionate and experienced Data Science Trainer to develop and deliver comprehensive training programs in data science and related fields As a Data Science Trainer, you will play a crucial role in shaping the next generation of data scientists by imparting industry-relevant knowledge and skills

Exclusive Opportunity for Indias MLOps Experts! Soul AI (by Deccan AI) is hiring top-tier MLOps Engineers for high-paying contract & freelance roles What You Get: Market-leading compensation Flexible contracts (2"“12 months) Remote & hybrid work options Collaborate with AI leaders on cutting-edge projects Your Responsibilities: Build & automate ML pipelines (Kubeflow, MLflow, Airflow) Develop & optimize CI/CD workflows Deploy ML models at scale with Docker, Kubernetes, cloud ML platforms Implement monitoring & governance frameworks Must-Have Skills: Python, TensorFlow, PyTorch AWS, GCP, Azure ML expertise CI/CD, monitoring, data versioning knowledge Join our Expert Community & unlock premium AI job opportunities!

Overview Development of Scalable and Efficient AI-Driven Solutions Create AI solutions that address complex business challenges. Ensure solutions are scalable to handle large data volumes and efficient in performance. Development and Maintenance of Index Data Platforms Build and sustain platforms that generate and manage Index data. Integrate data from various sources, maintain data accuracy, and ensure reliability. Development of Data Science-Based Solutions for Quality Check of Data Points Ensure the accuracy and reliability of delivered data through advanced data science techniques. Implement metrics, detect anomalies, and validate data points to maintain high data quality. Responsibilities 1. Development of Scalable and Efficient AI-Driven Solutions Create AI/ML solutions that address complex business challenges. Understand business use cases and identify where and how AI can add value. Design, train, and validate machine learning models tailored to specific business needs. Design solutions leveraging generative AI and LLM. Build cost effective,scalable and high quality data solutions which will be used for critical Index products Ensure solutions can handle large volumes of data and scale with business growth. Optimize models and algorithms for performance and resource utilization. 2. Development of AI and Data Science-Based Solutions for Quality Check of Data Points delivered to downstream Ensure the accuracy and reliability of data through advanced data science techniques. Define and implement metrics to assess data quality. Develop models to detect anomalies and inconsistencies in data. Create automated processes to validate data points against predefined standards. Continuously refine quality check methods based on feedback and new insights. Qualifications Artificial Intelligence (AI) and Machine Learning (ML) Understanding of machine learning algorithms, deep learning, neural networks, and reinforcement learning. Understanding and experience on Generative AI. Proficiency in working with large language models like GEMINI,GPT, BERT, and their variants. Experience in fine-tuning and deploying these models for various applications. Familiarity with frameworks like TensorFlow, PyTorch, and Keras. Programming Languages Python : Proficiency in Python for data manipulation, model development, and automation. Experience with libraries such as NumPy, pandas, scikit-learn, and matplotlib. Java (Good to have) : Strong skills in Java for building scalable and efficient applications. Knowledge of Java frameworks like Spring. Oracle (Good to have) : Expertise in Oracle databases, including SQL and PL/SQL. Experience in database design, optimization, and management. Data Enginering and Cloud Solutions Proficiency in cloud platforms like Azure or Google Cloud. Leveraging cloud services for flexibility, scalability, and cost-efficiency Experience with data warehousing solutions and other cloud based data storage solutions Experience in Kubernetes and service or event driven architectures What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

An AI Engineer designs, develops, and implements artificial intelligence systems and applications that can simulate human intelligence processes through the creation and validation of algorithms, neural networks, and other machine learning techniques

Job description Job title: Consultant - Data Scientist- Computer Vision Location: Bangalore (Hybrid) Years of Experience: 5+ Preferred - Immediate Joiners Primary Skills: Computer Vision (YOLO, PaddleOCR, Video/Image Analytics, number plate identification, parking spot detection, detecting speed of vehicles from videos) Secondary Skills: Neural Networks, Computer Vision, Deep Learning Key Responsibilities: AI/ML Model Development & Optimization Design, develop, and train deep learning models, including CNNs, RNNs, Transformers, and hybrid models for audio-video data fusion. Optimize models for performance, including reducing inference times and memory footprint for deployment on resource-constrained devices. Data Collection & Preprocessing Collect, preprocess, and augment large-scale datasets, particularly for audio and video, ensuring high-quality input for model training. Implement data fusion techniques to combine multimodal data sources (audio, video) to create richer, more accurate models. Edge Computing & Deployment Deploy AI/ML models onto edge devices such as Raspberry Pi, NVIDIA Jetson, or Intel Movidius, ensuring real-time, efficient operation. Perform hardware-aware optimizations like quantization, pruning, and model compression to enable efficient edge deployment. Real-time AI Applications Develop real-time AI applications using computer vision and deep learning techniques for tasks such as object detection, gesture recognition, and video analysis. Ensure high accuracy and low latency for real-time performance, both in cloud and on-device environments. Collaboration with Cross-Functional Teams Collaborate with software engineers, hardware engineers, and data scientists to integrate AI models into embedded systems, ensuring smooth deployment and functionality on edge devices. Work closely with product teams to translate business requirements into AI solutions, ensuring the models meet end-user needs. Model Evaluation & Monitoring Evaluate the performance of deployed models using standard metrics (accuracy, precision, recall, F1 score) and real-world feedback to improve model performance over time. Continuously monitor and troubleshoot models post-deployment to ensure optimal performance and scalability. Research & Innovation Stay up-to-date with the latest advancements in AI/ML, computer vision, and edge computing, and explore new techniques to improve the efficiency and effectiveness of models. Experiment with novel architectures, including fusion models and multi-task learning, to solve complex problems in multimodal environments.

We are seeking a talented and motivated Senior Data Scientist to join our team. The ideal candidate will have a strong background in Python, neural networks, generative AI (GenAI), and large language models (LLM), as well as experience in prompt engineering. This role requires a solid understanding of data science techniques and the ability to apply them to solve real-world problems. Key Responsibilities: Develop and implement machine learning models, including neural networks and generative AI. Work with large language models to enhance natural language processing capabilities. Design and optimize prompts for various AI applications. Analyze and interpret data to provide actionable insights. Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions. Stay current with the latest advancements in data science and AI technologies. Required Skills: Proficiency in Python programming language. Experience with neural networks and generative AI/LLM. Knowledge of prompt engineering techniques. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Qualifications: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. 5+ years of experience in data science or a related role. Proven experience in developing and deploying machine learning models. Familiarity with cloud platforms and big data technologies is a plus.

Languages/Frameworks : Python, SQL, TensorFlow, PyTorch, Scikit-learn Cloud & Infrastructure : AWS, Azure, GCP, Docker, MLOps principles AI Focus Areas : LLMs, Prompt Engineering, Neural Networks, NLP, NLU, RAG, GraphQL, Graph Databases House rent allowance Travel allowance Health insurance Maternity policy Annual bonus Performance bonus Job/soft skill training Course reimbursements

We are seeking a talented and motivated Senior Data Scientist to join our team. The ideal candidate will have a strong background in Python, neural networks, generative AI (GenAI), and large language models (LLM), as well as experience in prompt engineering. This role requires a solid understanding of data science techniques and the ability to apply them to solve real-world problems. Key Responsibilities: Develop and implement machine learning models, including neural networks and generative AI. Work with large language models to enhance natural language processing capabilities. Design and optimize prompts for various AI applications. Analyze and interpret data to provide actionable insights. Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions. Stay current with the latest advancements in data science and AI technologies. Required Skills: Proficiency in Python programming language. Experience with neural networks and generative AI/LLM. Knowledge of prompt engineering techniques. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team.

About the job: Key responsibilities: 1. Research and experiment with state-of-the-art AI models including GPT, BERT, Stable Diffusion, and other generative architectures 2. Fine-tune, evaluate, and deploy large language models (LLMs) for various AI-driven applications 3. Design and build AI agents capable of autonomous decision-making and task execution 4. Develop and optimize machine learning pipelines and datasets for training AI models 5. Collaborate with software engineers and data scientists to integrate AI models into products 6. Stay updated with the latest AI research, papers, and trends in generative AI and reinforcement learning 7. Participate in code reviews, design discussions, and knowledge sharing sessions within the team 8. Create documentation, tutorials, and reports on AI experiments and project outcomes Required Skills and Knowledge: 1. Demonstrate strong understanding of Artificial Intelligence concepts including machine learning (supervised, unsupervised, reinforcement learning), deep learning fundamentals (neural networks, CNNs, RNNs, transformers), large language models (LLMs) such as GPT, BERT, T5, generative AI techniques (GANs, VAEs, diffusion models), and AI agents and autonomous systems 2. Show proficiency in Python programming; experience with AI/ML frameworks such as TensorFlow, PyTorch, HuggingFace Transformers, or similar 3. Exhibit experience or academic exposure to natural language processing (NLP) and computer vision 4. Familiarity with prompt engineering, fine-tuning models, and evaluation metrics 5. Possess basic understanding of cloud platforms and AI APIs (AWS, Azure, Google Cloud, etc.) 6. Apply analytical mindset and strong problem-solving skills 7. Be self-driven with eagerness to learn new AI technologies and tools 8. Hold a bachelor's or higher degree in computer science, data science, AI/ML, or related technical field 9. Demonstrate proven hands-on experience with AI projects, research, or industry applications 10. Knowledge of ethical AI, bias mitigation, and AI safety considerations 11. Ability to work independently and collaboratively in a remote team environment 12. Exhibit good communication and documentation skills What We Offer: 1. Provide opportunity to work with cutting-edge AI and generative models 2. Collaborate with experienced AI researchers and engineers 3. Gain exposure to AI agents, LLMs, and the latest generative AI technologies 4. Work on real-world AI applications impacting diverse industries 5. Receive competitive salary and potential growth into leadership roles Note: This job is open to serious candidates committed to building a career in AI research and development Who can apply: Only those candidates can apply who: have minimum 1 years of experience can work from 8:00 am - 6:00 pm Indian Standard Time (as the company is based outside of India & their local work timings are 8:00 am - 6:00 pm India Standard Time) are Computer Science Engineering students Salary: ₹ 2,00,000 - 8,00,000 /year Experience: 1 year(s) Deadline: 2025-06-29 23:59:59 Other perks: 5 days a week Skills required: Python, Data Structures, Machine Learning, Data Science, Neural Networks, Natural Language Processing (NLP), Deep Learning, Artificial intelligence, Artificial Intelligence Markup Language (AIML) and LLM evaluation About Company: NetWit.ca is a Vancouver-based software and digital solutions company dedicated to empowering businesses with innovative technology and marketing strategies. We specialize in custom software development, mobile and web applications, CRM systems, and automation tools tailored to meet unique business needs. Alongside our software expertise, we offer data-driven digital marketing services to help clients generate leads, enhance online visibility, and drive growth. Our team combines technical excellence with creative problem-solving to deliver scalable solutions that streamline operations and accelerate success across industries. At NetWit.ca, we build technology that works for your business.

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accenture's clients. Ability to manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualifications Who we are looking for? 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards Anti Money Laundering AML scenarios/alerts, Network Analysis Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills.

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 : Google Cloud Machine Learning Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BTech Summary :As an AI/ML Engineer,, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI hands on experience and generative AI understanding. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 3 - 5 years of experience in Google Cloud Machine Learning Services.and overall Experience around 5 - 7 years The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications BTech

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve working with Python and applying GenAI models as part of the solution, along with deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Develop and deploy applications and systems that utilize AI tools and Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. Apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Collaborate with cross-functional teams to design and implement AI-based solutions that meet business requirements. Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Proficiency in Python. Good To Have Skills:Experience with deep learning, neural networks, chatbots, and image processing. Strong understanding of AI and machine learning algorithms. Experience with cloud AI services and application pipeline. Experience with production-ready quality. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in Python. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful AI-driven solutions. This position is based at our Bengaluru office. Qualifications 15 years

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 Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education

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 : Prompt Engineering 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 develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Strong understanding of AI/ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Prompt Engineering.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

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, 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 and enhance their functionality. 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 professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing AI systems and applications. 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 at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Snowflake Data Warehouse 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 develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Familiarity with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education