1681 Computer Vision Jobs - Page 20

SUMMARY Job Role: Data Engineering Professionals Location Pune Experience 6+ years Must-Have The candidate must possess at least 5 years of relevant experience in Data Engineering with Java or Python Development. As an Application Lead, you will be responsible for leading the design, development, and configuration of applications, serving as the primary point of contact. Your day-to-day activities will involve collaborating with multiple teams to ensure project milestones are achieved, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. Additionally, you will participate 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 play a crucial part in driving the success of application projects and fostering a collaborative environment. Key Responsibilities Develop and execute targeted campaigns to attract backend engineers with Java or Python expertise. Collaborate with engineering and recruitment teams to understand role requirements and ideal candidate profiles. Utilize platforms like LinkedIn, GitHub, Stack Overflow, and tech forums to identify and engage potential candidates. Create compelling content (emails, job posts, social media snippets) tailored to backend developers. Analyze campaign performance and optimize strategies for better reach and conversion. Build and maintain a talent community for backend engineers. Required Skills & Qualifications Strong understanding of backend technologies, especially Java or Python. Familiarity with developer ecosystems, tools, and communities. Excellent communication and content creation skills. Data-driven mindset with experience using analytics tools to measure campaign success. Ability to work cross-functionally with engineering, HR, and marketing teams. Experience with technologies such as Python, Machine Learning Algorithms, Optimization Algorithms, Rule Mining, Model Training/Deployment. Experience with technologies such as Computer Vision, LLM, Statistical Analysis, Data Visualization, SQL, Cloud Platform (Azure), MLOps. Additional Information The candidate should have a minimum of 5 years of experience in Data Engineering. A 15-year full-time education is required. Benefits

Description: Globallogic is looking for enthusiastic and self-motivated freshers to join our team on a contractual basis. This is an excellent opportunity to gain hands-on experience and build a strong foundation in a professional work environment. Requirements: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written Job Responsibilities: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

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: 4-6 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.

Fynd is India s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries. As a Machine Learning Engineer, the purpose of this role is to work with our machine learning research team to develop, implement and deploy machine learning and deep learning models. Our core area of work is in the field of computer vision so you will require some familiarity with convolutional neural networks. Please find our research page : https://research.fynd.com/ Some of our products: https://www.erase.bg/ , https://www.upscale.media/ What will you do at Fynd? Work on the deployment of machine learning and deep learning models. Help in accelerating model inference using various compression tools like onnx, Torch script, TensorRT, OpenVINO ....etc. Develop and maintain a data streaming pipeline (both batch and real-time) for data integration and large-scale machine learning. Deliver best practices recommendations and technical presentations around machine learning deployment including real-time modeling. Maintain and further enhance the internal model feature store and optimize the feature engineering script. Full life cycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment. Responsible for the end-to-end deployment of predictive models including scoping, testing, implementation, maintenance, tracking, and optimization of predictive models. Responsible for complete and accurate documentation of all development around machine learning engineering. Some specific requirements 4+ years of experience implementing and deploying machine learning and deep learning frameworks through distributions cluster and application programming in cloud platforms including AWS and GCP. Basic Knowledge of tools/libraries such as TensorFlow, PyTorch, Keras, NumPy, pandas etc. Strong understanding of data structures and algorithms and experience in Python. Some experience with computer vision(classification, segmentation, object detection) pipelines Deep experience across systems integration, information management, data management and architecture, and business analytics. Language: Python, Java, Scala, Unix bash script, REST API process. What do we offer? Growth Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially. Flex University: We help you upskill by organising in-house courses on important subjects Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you. Culture Community and Team building activities Host weekly, quarterly and annual events/parties. Wellness Mediclaim policy for you + parents + spouse + kids Experienced therapist for better mental health, improve productivity & work-life balance We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment!

Who We Are Simpplr is the AI-powered platform that unifies the digital workplace - bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology. More than 1,000 leading organizations - including AAA, the NHS, Penske, and Moderna - trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com . Role Overview: As a Principal Data Scientist, you will spearhead cutting-edge AI initiatives and deliver a world-class AI-driven enterprise search solution, Agentic platform, recommendations and other key AI initiatives. You will provide strategic direction, foster innovation, and ensure the successful execution of our product roadmap. You should have a deep understanding of AI/ML technologies, a proven track record of leading successful AI products, and a passion for pushing the boundaries of whats possible. Key Responsibilities: Foster a collaborative, innovative environment and ensure the team stays insulated from external distractions. Drive the end-to-end product lifecycle from ideation and design to implementation and deployment, ensuring delivery excellence with a focus on quality, speed, and innovation. Provide deep technical guidance in AI, machine learning, NLP, and search technologies, staying current with cutting-edge advancements. Champion AI ethics and responsible development: Ensure that AI projects are developed and deployed ethically and responsibly, considering potential biases and societal impacts. Effectively communicate and collaborate with cross-functional stakeholders, confidently advocating for the team s priorities and managing external expectations. Collaborate with cross-functional teams: Work closely with product, engineering, marketing, and other teams to integrate AI solutions into existing workflows and develop new AI-powered products and features. Actively consider product-market fit, customer value, and revenue implications, adopting a founder-like approach to growing and refining the product feature. Independently make key decisions and take ownership of the product s success, proactively addressing challenges and opportunities. Insulate the team from external noise, ensuring they maintain clear focus and direction. Experience & Skills: 7+ years of professional experience. Proven track record of successfully leading and managing AI and search-related product development. Demonstrated hands-on expertise and deep expertise in Artificial Intelligence, Machine Learning, NLP, Information Retrieval, computer vision, reinforcement learning and enterprise search technologies. Strong understanding of enterprise search technologies and architectures. Proven track record in building, scaling, and managing AI-powered products. Excellent leadership, communication, interpersonal, problem-solving, and analytical skills. Proven ability to articulate a clear vision and align teams behind that vision. Strong experience in strategic planning and execution within agile environments. Demonstrated resilience, adaptability, and ability to thrive in fast-paced, evolving environments. Ability to professionally and effectively push back against stakeholder demands. Founder mentality with the ability to create, articulate, and execute a compelling vision and strategy. Qualifications: Bachelors degree in Computer Science, Engineering, AI, Data Science, or related fields. Advanced degree (Masters or PhD) preferred. Bonus Points: Publications in top AI conferences or journals. Experience with cloud-based AI platforms (AWS, Azure, GCP). Simpplr s Hub-Hybrid-Remote Model: At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want. Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time. Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis. Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.

We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor s/Master s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor s/Master s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Diversity & Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. . At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That s why we re committed to creating a workforce where all individuals can do their best work. It s when everyone s voice is heard and valued that we re inspired to go beyond what s been done before.

Model Devt: Design, implement,optimize ML models with a primary focus on Computer Vision applications. Build & maintain,deployment pipelines for ML models on CPU-based cloud servers (e.g.AWS),exp in GPU-based deployment for resource-intensive task. Required Candidate profile Optimize AI containers & applications for speed ,scalability ,resource efficiency Partner with data scientists, engineers, product managers to integrate ML solution seamlessly into business workflows.

Proficiency in Python (libraries like pandas, NumPy, scikit-learn) Strong SQL skills for querying and manipulating large relational datasets Hands-on experience with cloud platforms (AWS/Azure/GCP) . Required Candidate profile Exposure to Generative AI frameworks or large language models (e.g., OpenAI GPT, Hugging Face Transformers) Exp in cloud-native ML tools (SageMaker, Azure ML, Vertex AI) Exp in CI/CD pipelines

Macgence is a leading AI training data company at the forefront of providing exceptional human-in-the-loop solutions to make AI better. We specialize in offering fully managed AI/ML data solutions, catering to the evolving needs of businesses across industries. With a strong commitment to responsibility and sincerity, we have established ourselves as a trusted partner for organizations seeking advanced automation solutions. Fueled by our human expertise, our team has executed projects enabling cutting-edge technology that has revolutionized automation in many sectors. We do this by harnessing the power of human-generated AI and ML thus facilitating seamless global business automation and enhancing efficiency and productivity. At Macgence, we are committed to providing our customers with high quality, timely solutions that address their specific needs and challenges. We understand the crucial role of accurate, reliable human-generated data in driving AI and ML systems. As a result, we leverage our expertise to curate high-quality ~ 95%+ accuracy datasets. These datasets fuel innovation and deliver tangible results. Partnering with Macgence means gaining a trusted ally in your journey towards leveraging the power of AI and ML. We are dedicated to empowering businesses, optimizing processes, and driving growth through our innovative data solutions. Job Overview: We are seeking a skilled and detail-oriented individual to join our team as an Annotation Specialist specializing in 2D, 3D, and LiDAR data. In this role, you will play a crucial part in the development of autonomous driving systems and other computer vision applications by accurately annotating and labeling various types of sensor data. Your work will contribute directly to the training and validation of machine learning algorithms for object detection, localization, and tracking. Key Responsibilities: Annotate and label 2D images, 3D point clouds, and LiDAR data to identify and outline objects of interest such as vehicles, pedestrians, cyclists, and road infrastructure. Follow annotation guidelines and specifications to ensure consistency and accuracy across annotated datasets. Work with a variety of annotation tools and software to perform tasks efficiently and effectively. Verify and validate annotations to maintain high data quality and reliability. Collaborate with data scientists, engineers, and researchers to understand annotation requirements and project objectives. Provide feedback and suggestions for improving annotation tools, workflows, and processes. Keep detailed records of annotation tasks, including documentation of annotation guidelines, specifications, and any issues encountered. Stay updated on advances in computer vision and sensor technology relevant to annotation tasks. Qualifications: Strong understanding of 2D and 3D geometry, spatial data , and coordinate systems. Familiarity with LiDAR technology, point cloud processing, and sensor fusion techniques. Proficiency in using annotation tools and software for 2D image annotation (e.g., bounding boxes, polygons), 3D point cloud annotation, and LiDAR annotation. Excellent attention to detail and ability to maintain accuracy while working with large datasets. Effective communication skills with the ability to collaborate with multidisciplinary teams. Ability to work independently and manage time effectively to meet project deadlines. Bachelor s degree in Computer Science, Engineering, Mathematics, or a related field is preferred but not required. Previous experience in data annotation, computer vision, or related fields is a plus. Why Join Us: Opportunity to work on cutting-edge projects at the forefront of autonomous driving and computer vision technology. Collaborative and supportive work environment with opportunities for professional growth and development. Competitive compensation and benefits package. Make a significant impact on the development of AI systems with real-world applications. If you are passionate about computer vision, sensor data, and contributing to the advancement of autonomous systems, we encourage you to apply for the position of Annotation Specialist (2D, 3D, LiDAR) and become part of our innovative team. For more enquiry: Job Category: operations Job Type: Full Time Job Location: noida

Role description: You know you re in the right career when work becomes play, when organization purpose aligns with your personal purpose making every day a meaningful day. And your work helps the industry, the environment, and the planet earth in positive ways while you get the opportunities, support and benefits you need. Passionate, and curious and proactive. Purpose Driven and energized. Arcadis is looking for looking for people with a passion to drive and execute Digital to the core of everything we do. We firmly believe in Everything Digital, Digital Everything . We are transforming, we are reimagining the industry, and we are reimagining how communities and nations can help becoming more sustainable places to live for today and future generations. Technology is the core and integral part of what we do, all the way for empowering Arcadians to harnessing power of data and AI/ML for sensors, IIOT and Advanced Drones, the technology teams are Dreaming Big and Delivering on future. As part of our Technology drive, we are looking for on-board talented and passionate Azure data engineers at India Bangalore Location. Role accountabilities: This position will lead the data science efforts the team is setting out to build and will be core to the companys ambitious roadmap India s best AI driven platform. Goes without saying that there will be tremendous responsibility and opportunity for the person to grow. You will wear multiple hats from a data engineer, data analyst, ML engineer to a data scientist for period. Qualifications & Experience: 5-7+ years as a Data Scientist. Familiarity with breadth of AI/ML/DL applications in domains like Computer Vision and Natural Language Processing. Deep understanding of Exploratory Data Analysis, Feature Engineering, Feature Extraction, Feature Importance, Principal Component Analysis Ability to understand raw data and build meaningful data pipelines with it. Knowledge of data management and visualization software and techniques Experience with AI/ML tech-stack from at least one of the major cloud providers like AWS, GCP, Azure Ability to follow latest research in related domains and be able to translate them into prototypes and/or solutions. Experience deploying models to production and edge devices and tuning them on a periodic basis. Excellent scripting and programming skills Sound knowledge of Python and TensorFlow etc. Experience with SQL and NoSQL databases Strong organizational and leadership skills Self-starter, comfortable with ambiguity and at ease working in a fast-paced environment Desire Skills: Engineering Degree from Tier1 colleges with a specialization in Computer Science or master s with major in Statistics or Mathematics. Specialization in AI/ML Prior experience developing Computer Vision/NLP models for Infrastructure business line. Experience with Docker/Kubernetes in hosting and deploying models on scalable clusters with suitable CPU/GPU architectures. Experience with Power Platform (Powe BI, Power Apps and Power Automate) Experience with Hadoop, Apache Spark, Big Query RESPONSIBILITIES: Collaborate with the Product to identify opportunities and influence Product Strategy Engage with cross functional teams to understand their touch points. Drive innovation to introduce machine learning models in Infra business line products and offerings. Help establish processes to enable smooth collaboration between data producers and data consumers. Mentor and coach team members. Articulate model outputs to leadership in a simplified manner ? Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages- from problem definition to diagnosis to solution design, development and deployment. You will review the proposals prepared by consultants, provide guidance, and analyze the solutions defined for the client business problems to identify any potential risks and issues. You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms. You will also coach and create a vision for the team, provide subject matter training for your focus areas, motivate and inspire team members through effective and timely feedback and recognition for high performance. You would be a key contributor in unit-level and organizational initiatives with an objective of providing high-quality, value-adding consulting solutions to customers adhering to the guidelines and processes of the organization. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Technical and Professional : Primary skills:Technology-Artificial Intelligence-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision

Educational Bachelor of Engineering Service Line Global Delivery Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages- from problem definition to diagnosis to solution design, development and deployment. You will review the proposals prepared by consultants, provide guidance, and analyze the solutions defined for the client business problems to identify any potential risks and issues. You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms. You will also coach and create a vision for the team, provide subject matter training for your focus areas, motivate and inspire team members through effective and timely feedback and recognition for high performance. You would be a key contributor in unit-level and organizational initiatives with an objective of providing high-quality, value-adding consulting solutions to customers adhering to the guidelines and processes of the organization. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Technical and Professional : Primary skills:Technology-Artificial Intelligence-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python,Technology-Machine Learning-TensorFlow Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-TensorFlow Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision

Educational Bachelor of Engineering Service Line Global Delivery Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Technical and Professional : Primary skills:Technology-Artificial Intelligence-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python,Technology-Machine Learning-TensorFlow Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-TensorFlow Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Data collection and preparationCollect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data Model developmentDesign and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters Model evaluationEvaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text Model deploymentDeploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AIShould have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI

We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology, help transform business requirements into AI/ML specifications, define milestones and ensure timely delivery. Work with product and business teams to define goals and roadmaps, maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor junior team members in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability. Required qualifications, capabilities, and skills Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark, strong grasp on vector operations using numpy, scipy and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members, effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology, help transform business requirements into AI/ML specifications, define milestones and ensure timely delivery. Work with product and business teams to define goals and roadmaps, maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor junior team members in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability. Required qualifications, capabilities, and skills Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark, strong grasp on vector operations using numpy, scipy and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members, effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level

Job Description This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation and delivery. You should have deep knowledge of AI/ML with experience implementing LLM based projects and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Executes creative software solutions using AI/LLM, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production code, reviews and debugs code written by others. Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required qualifications, capabilities, and skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems or equivalent experience. Track record of Leading AI/ML or Software development teams. Experience as a hands-on practitioner developing production AI/LLM solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, Keras, Scikit-Learn. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills Experience working in RAG based LLM projects. Experience working in the field of MLOps. Good communication skills. Working experience in Innovation based projects is preferred. Job Description This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation and delivery. You should have deep knowledge of AI/ML with experience implementing LLM based projects and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Executes creative software solutions using AI/LLM, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production code, reviews and debugs code written by others. Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required qualifications, capabilities, and skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems or equivalent experience. Track record of Leading AI/ML or Software development teams. Experience as a hands-on practitioner developing production AI/LLM solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, Keras, Scikit-Learn. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills Experience working in RAG based LLM projects. Experience working in the field of MLOps. Good communication skills. Working experience in Innovation based projects is preferred.

Job description For Electronics and Communication Engineering Program: Teaching Research experience in the following areas Robotics/Artificial Intelligence/Machine Learning/Data Science/Signal Processing / VLSI / Embedded Systems / Internet of Things / Nano Materials / Sensors / Quantum Computing / Data Structures and Algorithms / Computer Vision / AI, ML, DL / Image Processing / Cyber-Physical Systems / Wireless Sensor Networks / Next Generation Wireless Technologies / Intelligent Systems. Skill Required Robotic System Development and Programming Architecture, ROS MATLAB, Keil, Cadence tool, Xilinx Vivado, Microwave Studio, Python, Embedded C. The candidate should have adequate experience in research in their area of specialization, publications in top-tier journals, sponsored research, patent publication, and industry consultancy.

Role: Gen AI Engineer Location: Hyderabad Experience: 5+ years Mode of Interview: Scheduled in-person interview only Date: 12th July Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Technical and Professional Requirements: Primary skills:Technology->Artificial Intelligence->Computer Vision,Technology->Big Data->Natural language processing(NLP),Technology->Machine Learning->Python Preferred Skills: Technology->Big Data->Natural language processing(NLP) Technology->Machine Learning->Python Technology->Artificial Intelligence->Computer Vision

We are seeking a talented and motivated Artificial Intelligence to join our growing team. The ideal candidate will have a passion for developing intelligent systems, solving complex problems, and applying machine learning algorithms to real-world.

Position Summary... What youll do... About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What youll do: As a Senior Data Scientist for Walmart Global Tech, you ll have the opportunity to Design, develop, and deploy AI/ML, NLP, LLM models into production environments with a focus on reliability and scalability Integrate data science solutions into current business processes. Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry. Spearhead collaborations with other senior team members and stakeholders, leveraging your data science expertise to drive strategic decision-making and optimize business operations Promote and support company policies, procedures, mission, values, and standards of ethics and integrity. What youll bring: Qualifications PhD with >3 years of relevant experience / 4-year bachelor s degree with > 8 years of experience / Master s degree with > 6 years of experience. Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline. Demonstrated history of strong hands-on experience in AI/ML modelling Prior Experience in building Vision-based models Proven records of scientific publications or intellectual property generation Prior Experience in programming skills across data science, statistical analysis, big data and ML stack Strong communication skills with inclination to high ownership and commitment Proven track record of delivering high-impact AI/ML solutions to Production Mandatory Skills: Machine Learning, NLP, Computer Vision , Python, R Additional Qualifications: Good to have experience in areas such as Graph Neural Networks, LLM Optimization About Walmart Global Tech . . Flexible, hybrid work . Benefits . Belonging . . Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications... Minimum Qualifications:Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 years experience in an analytics or related field. Preferred Qualifications... Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India

Responsibilities Identify and define complex business problems with stakeholders. Apply ML solutions to improve demand and supply systems. Build mathematical models for real-world business processes. Prioritize and solve high-impact issues to cut costs or grow revenue. Publish research and represent the company at industry conferences. Collaborate with engineering teams to deploy scalable ML models. Continuously evaluate model performance and retrain as needed for accuracy. Requirements Strong math foundation: linear algebra, stats, calculus, optimization, etc. Hands-on with supervised ML techniques like SVM, decision trees, neural networks. Solid SQL/NoSQL and database system understanding. Experience with big data tools (e.g., Spark, Hadoop) is a plus. Perks and Benefits Medical Insurance Internet Reimbursement Flexible working hours

Role Overview: Youll lead efforts in developing, training, and deploying machine learning models with a focus on data processing and computer vision. Using your expertise in Python, OpenCV, and other advanced tools, you will work on complex data science projects and help us push the boundaries of AI technology. Data Modelling & Processi Leverage OpenCV and advanced computer vision techniques for tasks like image recognition, object detection, and OCR. Model Development: Design, build, and train machine learning models using deep learning frameworks such as TensorFlow, PyTorch, and Keras. Computer Vision Projects: Leverage OpenCV and advanced computer vision techniques for tasks like image recognition, object detection, and OCR. ML Algorithms & Frameworks: Implement ML algorithms and leverage frameworks for NLP, computer vision, and other AI projects. Testing & Experimentation: Conduct machine learning tests and experiments, refining models based on performance metrics. API Development: Utilize Flask or Django to create APIs for model integration with applications. Data Annotation & Augmentation: Apply data augmentation techniques for robust model performance, especially in image-based datasets. Collaboration & Reporting: Work closely with cross-functional teams and provide detailed insights on model performance and data metrics. Technical Skills Required: Programming Languages: Proficiency in Python, with strong skills in C/C++ for performance-based applications. ML Frameworks: Expertise in TensorFlow, PyTorch, and Keras. Libraries & Tools: Strong command of OpenCV, Numpy, Scikit-learn, and Matplotlib. Data Handling & Processing: Hands-on experience with data processing tools such as Pandas and SQL. Natural Language Processing (NLP): Experience with NLP techniques using libraries like NLTK. Web Scraping & Automation: Familiarity with Beautiful Soup for data extraction and Selenium for automation. Software Development Tools: Knowledge of Django, Flask, Jupyter Notebook, and Linux environments. Analytical Skills: Strong understanding of optimization techniques, regularization methods, and model architecture. Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. 2-4 years of experience in data science, machine learning, and model development. Demonstrated expertise in computer vision and natural language processing. Strong problem-solving and communication skills for cross-functional collaboration. Why Join Us? Cutting-Edge Projects: Work on innovative AI and machine learning projects. Professional Growth: Access to training and career advancement. Dynamic Environment: Collaborate with a team passionate about data and technology.

About Aurigo Aurigo is revolutionizing how the world plans, builds, and manages infrastructure projects with Masterworks , 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 a Great Place to Work for 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. Description: 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. We are seeking an experienced Principal Data Scientist to design and implement our AI/ML, Gen AI and agentic AI initiatives, with a focus on fine tuning, building models and pipelines, evaluation, and MLOps/LLMOps. The role involves building predictive and prescriptive AI models, domain-specific AI models for full construction lifecycle with AI governance, security, and responsible AI. The ideal candidate will bridge business requirements with technical solutions, leading our AI transformation initiatives across the organization. This position offers an opportunity to shape the AI transformation of Aurigo, working with cutting-edge technologies and solving complex challenges in a collaborative environment. 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. Requirements: Overall 15+ years of experience with B.E/B.Tech/M.Tech 10+ years of software development experience 10+ years of progressive experience in AI/ML, with a strong track record as a data scientist, ML engineer or AI/ML architect 2+ years specifically focused on designing and implementing Gen AI solutions Experience of building autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Extensive hands-on experience with autonomous AI tools and frameworks: LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Strong expertise with LLMs (e.g., GPT, Claude, Mistral) Experience in Prompt engineering, RAG, Parameter Efficient Fine Tuning (PEFT), Reinfocement Learning with Human Feedback (RLHF) to improve the LLM responses including guardrails, evaluation and LLM observability to reduce hallucinations. Expertise in Natural Language Processing (NLP), Transformers, Computer Vision and knowledge graphs Proficiency in cloud platforms for AI architecture: AWS Bedrock, AWS SageMaker with a deep understanding of their AI service offerings Competencies

Primary Skills: Semantic Kernel and Azure AI AgentExp min 9 month of real project experience Semantic Kernel experiencefocuses on building intelligent agents and applications by leveraging the Semantic Kernel SDK, which is an open-source framework from Microsoft that allows for the integration of AI models and services. Secondary Skills: This role involves designing and developing AI solutions, including copilots, and integrating them with enterprise data and systems using tools like Azure OpenAI, Azure AI Search