245 Pattern Recognition Jobs - Page 3

Overview Looking for skilled Senior Backend Engineers to join fast-growing tech and product teams This opportunity is ideal for those who want to work on scalable systems, design high-performance APIs, and solve complex data challenges across distributed environments One short interview is all it takes to get considered for 100+ backend roles with top startups and tech companies, What Youll Do Design scalable and reliable server-side architectures Build and maintain efficient APIs and microservices Optimize database structures and queries (SQL/NoSQL) Collaborate with frontend, product, and DevOps teams Ensure systems are secure, testable, and production-ready Work on distributed systems, caching, and performance tuning Interview Topics Proficiency in backend languages (Java, Python, Go, Nodedot js) API and microservices architecture Database design and optimization Scalable system design and reliability Security and authentication principles Collaboration with cross-functional teams What Were Looking For 58 years of backend development experience Solid understanding of system design and production-grade architectures Strong debugging, testing, and performance tuning skills Location Bengaluru (Remote, On-site, or Hybrid based on company policy) Whats in it for You Competitive compensation and benefits Career development and fast-track opportunities Access to top product companies without applying individually A supportive, high-growth environment

About us We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are seeking candidates to tackle and lead challenging commercial problems in pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using machine learning, time series forecasting, statistical analysis, and programming skills. What you will do Collaborate with data scientists, data analysts, software developers, and business representatives from chemical, lubricants, and fuels value chains globally to develop, deliver, and apply data-driven tools, models, or software to support our businesses. Utilize machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial problems and provide business insights. Design, build, and execute studies using proprietary or commercial tools to provide insights, including calibrating models to pricing/sales/demand data and providing optimized recommendations. About You Skills and Qualifications Master s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 7.0 (out of 10.0). At least 5 years of experience in developing, applying, and validating data-driven tools to model complex systems. In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods). Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale. Deep conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI. Extensive knowledge and experience in code design, testing, and ML Ops practices. Specialization in at least one sub-domain, such as time series forecasting, Bayesian skills or NLP-GenAI. Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch. Experience with software engineering practices, agile methodologies, DevOps, and version control. Experience working with Azure Databricks or other data science frameworks. Familiarity with software testing and development practices (Agile). Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications / Experience Commercial experience encompassing pricing, demand forecasting, and end-to-end value chain optimization are preferred. Prior experience in commercial software development or working in commercial software teams. Ability to identify and scope data science opportunities based on business needs. Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment. Excellent problem-solving skills and attention to detail. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.

We re looking for a proactive AI Engineer Intern to support our AI development team. This remote role involves working on machine learning models, neural networks, and natural language processing. You ll assist in coding, debugging, data analysis, and algorithm implementation for live projects. Key Responsibilities : Support the development of AI and machine learning models Work on NLP and neural network implementations Assist with data analysis and preprocessing Debug, test, and optimize AI algorithms Collaborate with team members on AI-driven projects Qualifications : Knowledge of pattern recognition, neural networks, and NLP Background in computer science or software development Strong analytical and problem-solving skills Good communication and documentation abilities Ability to work independently in a remote setting Pursuing or recently completed a degree in CS, AI, or related

As an Analyst in the Loan Data Extraction team at Chatham Financial, you will play a crucial role in supporting institutional real estate clients by reviewing and extracting data from various real estate documents such as loan agreements, promissory notes, and guarantees. Your primary responsibility will be to ensure the accuracy and completeness of data to facilitate the modeling of debt portfolios for clients. Your expertise in real estate investment or data management will be instrumental in identifying and resolving any discrepancies or errors in the extracted data. Collaboration is key in this role, as you will work closely with internal team members and stakeholders to ensure timely project completion and client satisfaction. Effective communication skills, both verbal and written, will be essential in conveying complex information related to data extraction and quality assurance processes. Additionally, you will undergo internal training to enhance your skills and knowledge necessary for efficient extraction responsibilities. To excel in this position, you should hold a post-graduate degree in Commerce, Accounting, Finance, or related fields and have 1-3 years of experience in financial document processing, credit analysis, loan operations, or similar areas. Proficiency in speaking and writing Japanese is required. Attention to detail is crucial for accurately extracting loan terms, interest rates, borrower details, and covenants to prevent costly errors. Familiarity with loan documents and real estate data, along with strong analytical skills, will be beneficial in identifying and interpreting relevant information. Chatham Financial, as the largest independent financial risk management advisory and technology firm, values its employees and provides professional development opportunities for career growth. By joining the Loan Data Extraction team, you will have the chance to work with talented subject matter experts, contribute to the value Chatham delivers daily, and be part of a collaborative work environment that emphasizes integrity and client service. If you are looking to make a significant impact by enabling institutional clients to manage and analyze commercial real estate data effectively, then this role at Chatham Financial is an ideal opportunity for you.,

As an R&D Architect specialized in Biometric technology, you will be responsible for working on Image Processing and Pattern Recognition projects. Your role will involve extensive experience in developing biometric sensors such as finger vein and iris recognition technology. The ideal candidate should have a strong background in the field and a proven track record of successful projects in this domain. If you are passionate about pushing the boundaries of biometric technology and have a keen interest in image processing and pattern recognition, this role is perfect for you. Join our team and be part of cutting-edge projects that are shaping the future of biometric security. For more details, kindly reach out to Ram at Mobile: +91 98 1845 4080 / 98 6860 9864.,

The Product Manager will assist in executing the product strategy and driving specific product outcomes related to Trust & Safety charter. You will support opportunity and solution discovery, build cross-functional alignment, and help ensure successful product launches while working very closely with Analytics and Data Science teams to drive impact. Your responsibilities will include the execution of Product Strategy, opportunity and solution discovery, defining and prioritizing product features, developing and maintaining product roadmaps, and supporting successful product launches. You will also iterate on existing products to improve traction and deliver on product outcomes. In this role, you will work towards creating a positive financial impact for the company by proactively identifying and preventing fraud, minimizing fraud impact without hurting business, and setting up channels for fraud detection and action. The ideal candidate should have structured thinking and problem-solving abilities, a strong understanding of B2C products, and a passion for building solutions that meet customer needs. Clear communication and strong articulation skills are essential, along with the ability to execute on product discovery and delivery practices. Data proficiency and analytical thinking are crucial since fraud detection involves pattern recognition, anomaly detection, and trend analysis. You should have 2-3 years of experience in product management within a B2C product-led organization and a total of 3-5 years of overall experience. Exposure to user-centric product development, along with some experience in conducting user research, is preferred. Experience in fraud, trust & safety, insurance underwriting, or credit underwriting is beneficial. Optional experience in marketplace (demand, supply) is a plus. A good pedigree in terms of work experience or education is also desirable.,

You will be joining our expanding research capabilities in Bangalore, aimed at meeting the increasing global demand for customized research solutions. We are in the process of establishing an Analytical Centre of Excellence, which will primarily focus on collaborating with our global Consulting teams on intricate projects and developing a unique range of products. The ideal candidate for this role should have a proven track record in business, competitive intelligence, consulting, or market research. Proficiency in written and verbal communication skills in English, along with strong analytical, numerical, and data manipulation skills are essential. We are seeking individuals who are self-motivated and eager to establish themselves as internal industry or solution experts within our Consulting team and Euromonitor. Your responsibilities will include conducting primary and secondary research from industry and company sources, analyzing and consolidating research materials, and preparing complex data sets in Excel and management reports in PowerPoint. A background in statistics, computer science, applied mathematics, or a related field would be advantageous. We are particularly interested in candidates who have a passion for innovative data visualization, data cleansing, data science, pattern recognition, and artificial intelligence. Key Requirements: - Proficiency in numeracy, with the ability to construct data models and conduct comprehensive checks on complex data sets sourced from various outlets - Strong analysis and report writing skills to synthesize insights into comprehensive summary reports - Confidence in interacting with trade sources to validate information and gain additional insights - Effective utilization of desk research to corroborate and enhance insights gathered from other channels - Excellent oral and written communication skills - Ability to perform effectively under pressure, working efficiently to meet project deadlines and handling client inquiries professionally - Strong organizational skills, attentiveness to detail, and tenacity - Proficiency in Excel and PowerPoint - Background in engineering, mathematics, physics, or computer science is advantageous - Experience in data manipulation, multi-dimensional scaling, and various data transformation techniques - Ability to effectively communicate findings to stakeholders and leadership - Proficiency in other languages and editorial skills are beneficial - Comfort in working independently, making key decisions, and advancing projects with minimal supervision - Knowledge of BI tools such as Power BI and Tableau, including design, development, and implementation of BI solutions translating business requirements into technical specifications Optional Qualifications: - Understanding of econometric methods - Proficiency in Python, SQL, SPARQL, HTML, or similar languages - Experience in web scraping - Knowledge in implementing data-driven learning algorithms Benefits: - Professional Development: Opportunity for career growth in a consultative and professional environment - Flexible Work Schedule: Achieve work-life balance with remote work options and flexible hours - Positive Work Environment: Join a collaborative workplace culture where diversity is celebrated, ideas are valued, and teamwork is encouraged - Community Involvement: Engage in volunteer programs, charitable initiatives, and corporate social responsibility efforts to make a positive impact Our Values: - Integrity - Curiosity - Collaboration - Empowerment - Diversity,

As a Computer Vision Engineer at Lucent Innovation, a technology-driven company specializing in AI, ML, and Data Science solutions, you will play a key role in developing and implementing advanced computer vision algorithms. Your primary focus will be on creating innovative solutions in areas such as object detection, image segmentation, and tracking. By leveraging your expertise in computer vision, you will work on pattern recognition, robotics, and data science projects to drive efficiency and innovation. You will be responsible for working with large datasets to preprocess, clean, and augment data for training and model evaluation. Additionally, you will implement and enhance deep learning models using frameworks like TensorFlow, PyTorch, or OpenCV. Collaboration with cross-functional teams, including data scientists, software engineers, and product managers, will be essential to design and integrate solutions effectively. Your role will involve conducting performance testing and optimizing models to meet real-time processing requirements. Staying abreast of the latest trends, technologies, and research in computer vision and AI will be crucial to ensure the deployment and maintenance of computer vision systems in production environments. Troubleshooting and debugging issues with computer vision applications will also be part of your responsibilities. To qualify for this role, you should have at least 3 years of professional experience in computer vision or a related field, along with a strong background in Computer Science and Data Science. Proficiency in programming languages such as Python, C++, or Java is required, as well as experience with machine learning frameworks like TensorFlow or OpenCV. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field would be preferred. Working at Lucent Innovation offers you the opportunity to be at the forefront of cutting-edge technologies in a rapidly evolving field. You will be part of a collaborative, innovative, and supportive work environment, with a competitive salary and benefits package. Additionally, you can look forward to career growth and advancement opportunities within the organization.,

As an Artificial Intelligence Engineer at CentoCode, located in Gurugram, you will be responsible for developing and implementing cutting-edge AI models. Your role will involve working with neural networks, pattern recognition, and natural language processing (NLP) to create innovative solutions. Daily tasks will include software development, model training, and continuous optimization of AI algorithms. To excel in this role, you should have a strong proficiency in Pattern Recognition and Neural Networks, coupled with a solid background in Computer Science and Software Development. Experience with Natural Language Processing (NLP) and Deep Learning is essential, particularly in areas such as image recognition, classification, object detection, and numerical data prediction. Familiarity with tools like OpenCV, GANN, CIFAR, ImageNET, FastAPI, TensorFlow, PyTorch, and Keras will be beneficial. We are looking for individuals with excellent problem-solving and analytical skills, who can work collaboratively in a team environment. A Master's degree or higher in Computer Science, Engineering, or a related field is preferred. Join us at CentoCode and be a part of our mission to drive innovation and excellence in the tech industry.,

As a Machine Learning Ops Developer at Princeton America, you will be responsible for creating and maintaining machine learning models, developing data pipelines, conducting pattern recognition, implementing neural network models, and optimizing algorithms. Your role will also involve statistical analysis and application deployment for various projects. To excel in this role, you should have a strong knowledge of Pattern Recognition and Algorithms, a background in Computer Science and Neural Networks, proficiency in Statistics, excellent problem-solving and analytical skills, and the ability to work collaboratively in a team-oriented environment. Experience with machine learning frameworks and data processing is highly desirable. A Bachelors degree or higher in Computer Science, Engineering, Statistics, or a related field is required for this full-time on-site position located in Pune. Join our team and be part of a dynamic environment where you can leverage your expertise to contribute to cutting-edge projects in the IT industry.,

Design, develop, and deploy machine learning and deep learning models for real-world applications. Work on end-to-end ML pipelines — from data collection, preprocessing, feature engineering, and model training to deployment and monitoring

Key Responsibilities:Develop and optimize generative AI models using state-of-the-art architectures such as transformers, GANs, VAEs, or diffusion models.Fine-tune pre-trained large language models and multimodal models for specific business use cases.Design scalable and efficient AI pipelines for training, inference, and deployment in production environments.Collaborate with cross-functional teams including data scientists, ML engineers, product managers, and software developers to integrate generative AI capabilities into products.Implement techniques for prompt engineering, data augmentation, and model evaluation.Stay up to date with the latest research and advancements in generative AI and apply them to real-world problems.Troubleshoot model performance issues and improve accuracy, reliability, and latency.Write clean, maintainable code and contribute to AI/ML infrastructure and tooling.

Job Requirement Senior Machine Learning Engineer Location Delhi / Bangalore Company Overview At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. Education Bachelor s or Master s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline; PhD s preferred Specialization or research in applied machine learning, MLOps, or ML systems preferred Experience 4+ years of experience designing, developing, and deploying ML models in production environments 1+ year of experience in areas such as recommendation systems, pattern recognition, NLP, or time series modeling Experience with production-grade Python (preferred), as well as Java or C/C++ Hands-on experience with large-scale software architecture, APIs, and model versioning systems Skills Expertise in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn Proficient in cloud-based ML platforms (e.g., Azure ML, Google Cloud Platform, AWS SageMaker) Solid understanding of machine learning algorithms (e.g., classification, regression, SVMs, ARIMA, ensemble methods, deep learning, neural network) Strong foundation in probability theory and statistical modeling (generative and discriminative) Familiarity with DevOps/MLOps practices, CI/CD pipelines, GitHub Actions, Terraform Docker, and Kubernetes Ability to communicate technical concepts clearly to both technical and non-technical takeholders Strong collaboration skills with cross-functional teams (engineering, analytics, product) Ability to independently manage tasks and thrive in a remote-first or hybrid environment Preferred Skills Experience in regulated industries (e.g., finance, healthcare, insurance) Excellent communication and stakeholder engagement skills Strong understanding of deep learning architectures (e.g. CNNs, RNNs, Transformers, GANs) Strong in GPU based accelerating computing technologies (CUDA, Rapids, NeMo, NIM, etc.) Proficiency in model evaluation, distributed training, and hyperparameter optimization Proficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search) Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes) Proficient in API and Microservices technologies Track records in large-scale, real-time AI/GenAI/ML database and solution technologies Background in responsible AI/ML, model interpretability, and fairness auditing

Tech Mahindra Ltd. is looking for Python+ AI Autogen +Prompt Engg to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

PiCaSoid is looking for AI ENGINEER to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail

Skills : 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework Mandatory Key Skills Prompt Engineering,Generative AI*,performance metrics,data processing,OpenAI*,Claude*,llm,data engineering,artificial intelligence,video processing,application development

Skill - Python + GenAI + Argo + Kubernetes For Milkyway Required Skills

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

We are looking for a highly skilled and experienced Generative AI Engineer to join our team at Assemblage Entertainment, with 3-8 years of experience in the field. Roles and Responsibility Design and develop generative AI models for various applications. Collaborate with cross-functional teams to integrate AI models into existing systems. Develop and implement data augmentation techniques to enhance model performance. Conduct research on new AI technologies and trends to stay updated. Optimize model performance using hyperparameter tuning and other techniques. Work closely with the development team to ensure seamless integration of AI models. Job Requirements Strong understanding of deep learning concepts, particularly in generative adversarial networks (GANs) and variational autoencoders (VAEs). Experience with programming languages such as Python, Java, or C++ is required. Familiarity with cloud platforms like AWS or Google Cloud for deploying AI models. Knowledge of agile development methodologies and version control systems like Git. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

About this role: Wells Fargo is seeking a Technology program Intern for 2026 campus program. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. In this role, you will: Participate in formal internship program and workshops for low complexity initiatives within Internship Program Attend classroom training, self-study assignments, workshops, networking, and other events Review basic or tactical issues, policies or procedures for which answers can be quickly obtained related to low-risk tasks and deliverables with narrower impact Receive direction from supervisor and exercise judgment within defined parameters while developing understanding of the function, policies, procedures, and compliance requirements Provide information to managers, functional colleagues, and stakeholders, including internal or external customers if applicable Required Qualifications: 6+ months of work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

RingCentral is looking for Senior AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail

Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will engage in the assessment of artificial intelligence systems to ensure they meet established thresholds and benchmarks concerning responsible, ethical, and sustainable practices. Your typical day will involve designing and implementing technology mitigation strategies that uphold ethical and responsible standards, contributing to the development of AI systems that prioritize societal well-being and integrity. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to ensure alignment on responsible AI practices.- Conduct regular audits of AI systems to identify areas for improvement in ethical standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Good To Have Skills: Experience with AI ethics frameworks.- Strong understanding of machine learning principles and their implications for responsible AI.- Familiarity with regulatory requirements related to AI and data usage.- Experience in developing and implementing ethical guidelines for AI systems. Additional Information:- The candidate should have minimum 2 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education