9631 Tensorflow Jobs - Page 9

You are a highly skilled and motivated Technical Lead who will be joining our growing team. Your role will involve leading and delivering complex technical projects in areas such as AI/ML, Full Stack Development, and Cloud-based solutions. Your responsibilities will include overseeing the end-to-end execution of multiple software development projects, focusing on AI/ML initiatives and products to ensure timely delivery and high quality. You will be responsible for architecture design, technical planning, and code quality across the team, specifically for scalable AI/ML solutions, robust data pipelines, and integration of models into production systems. Collaboration with stakeholders, both internal and external, will be a key part of your role. You will gather requirements for AI/ML features, provide progress updates, and effectively manage expectations. Mentoring and guiding developers to foster a culture of continuous improvement and technical excellence, especially in AI/ML best practices, model development, and ethical AI considerations, will be essential. You will work closely with cross-functional teams, including QA, DevOps, and UI/UX designers, to seamlessly integrate AI/ML models and applications into broader systems. Implementing best practices in development, deployment, and version control with a strong emphasis on MLOps and reproducible AI/ML workflows is crucial. Tracking project milestones, managing technical risks, and ensuring that AI/ML projects align with overarching business goals will be part of your responsibilities. Participating in client calls to provide technical insights and solution presentations, demonstrating the value and capabilities of our AI/ML offerings, will be required. Driving research, experimentation, and adoption of cutting-edge AI/ML algorithms and techniques to enhance product capabilities is also expected from you. Required Skills: - Strong hands-on experience in at least one Fullstack framework (e.g., MERN stack, Python with React). - Proven experience managing and delivering end-to-end AI/ML projects or products. - Proficiency in major AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn. - Solid experience with data processing, feature engineering, and data pipeline construction for machine learning workloads. - Proficiency in project tracking tools like Jira, Trello, or Asana. - Solid understanding of SDLC, Agile methodologies, and CI/CD practices. - Strong knowledge of cloud platforms like AWS, Azure, or GCP, especially their AI/ML services. - Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: - Bachelor's or Master's degree in a related field. - Experience with containerization technologies and microservices architecture. - Exposure to MLOps practices and tools. - Prior experience in a client-facing technical leadership role. - Familiarity with big data technologies. - Contributions to open-source AI/ML projects or relevant publications are a plus. (ref:hirist.tech),

As an experienced professional with over 2 years of experience, you will be responsible for designing, developing, and deploying Machine Learning / Artificial Intelligent models to address real-world challenges within our software products. Your role will involve collaborating with product managers, developers, and data engineers to establish AI project objectives and specifications. Additionally, you will be tasked with cleaning, processing, and analyzing extensive datasets to uncover valuable patterns and insights. Your expertise will be utilized in implementing and refining models using frameworks like TensorFlow, PyTorch, or Scikit-learn. You will also play a crucial role in creating APIs and services to seamlessly integrate AI models into production environments. Monitoring model performance and conducting retraining as necessary to uphold accuracy and efficiency will be part of your regular duties. It is essential to keep yourself abreast of the latest developments in AI/ML and assess their relevance to our projects. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related discipline. A strong grasp of machine learning algorithms, including supervised, unsupervised, and reinforcement learning, is imperative. Proficiency in Python and ML libraries such as NumPy, pandas, TensorFlow, Keras, and PyTorch is required. Familiarity with NLP, computer vision, or time-series analysis will be advantageous. Experience with model deployment tools and cloud platforms like AWS, GCP, or Azure is preferred. Knowledge of software engineering practices, encompassing version control (Git), testing, and CI/CD, is also essential. Candidates with prior experience in a product-based or tech-driven startup environment, exposure to deep learning, recommendation systems, or predictive analytics, and an understanding of ethical AI practices and model interpretability will be highly regarded. This is a full-time position requiring you to work during day shifts at our in-person work location.,

Job Title: Fintech Academic Expert Location: Ahmedabad, Indore, Chandigarh, Gurgaon (with travel as needed) Experience: 5+ years in fintech, finance, or related industry Type: Full-time Do you live and breathe fintech We are seeking a Fintech Academic Expert who possesses a unique blend of industry experience and academic rigor. The ideal candidate will have the ability to teach, mentor, conduct research, and contribute to shaping the next generation of fintech leaders. As a Fintech Academic Expert, you will be responsible for reviewing and enhancing fintech education content, researching trends, creating case studies, delivering lectures, and mentoring students. This role offers a distinctive opportunity to bridge the gap between academia and innovation in the fintech industry. Key Responsibilities: - Review and enhance fintech education content - Research trends and create case studies - Deliver lectures and mentor students - Collaborate on curriculum and innovation in fintech education Technical Skills (preferred): - Proficiency in Python, Java, and Advanced Excel - Understanding of cloud computing, data analytics, AI/ML, blockchain, and open banking - Hands-on experience with tools such as Bloomberg Terminal, Ethereum, or TensorFlow Qualifications: - Degree in Finance, Economics, Computer Science, or related field - Prior experience in academia or training preferred - Strong communication and presentation skills - Passion for fintech education and innovation If you are passionate about teaching, have a love for fintech, and enjoy shaping minds, we encourage you to apply by sending your resume with the subject "Fintech Academic Expert Application" via DM or email. #FintechJobs #PythonJobs #AIinFinance #TechEducation #EdTechCareers #TensorFlow #BlockchainJobs #DigitalBanking #OpenBanking #MachineLearningJobs #FintechExpert #TeachingJobs #DeveloperJobs #DataScienceCareers #RegTech #InsurTech #FinanceTech #AcademicJobs #NowHiring #TechCareers #PythonDeveloper #FintechDeveloper #CleanCode #CybersecurityJobs #HiringTechTalent,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a Flex Work approach that is truly flexible to support where, when, and how you do your best work. At Dolby, the aim is to change the way the world experiences sight and sound. Dolby enables people to experience music, movies, videos, and pictures in all their intended grandeur, making life and work more meaningful and immersive. Dolby provides technology to content creators, owners, distributors, manufacturers of TV, mobile, and PC, as well as social and media platforms, so they can truly delight their customers. Advanced Technology Group (ATG) is the research and technology arm of Dolby Labs, focusing on innovating technologies in audio, video, AR/VR, gaming, music, and movies. Various areas of expertise related to computer science and electrical engineering are highly relevant to the research conducted by ATG. As a talented Applied Researcher at Dolby, you will have the opportunity to advance the state of the art in technologies of interest to Dolby and society at large. Research areas at Dolby Laboratories include large-scale cloud and edge data platforms and services, accelerating insight discovery from data, and topics such as distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogeneous data analytics. Key Responsibilities: - Develop platforms and tools to enable interactive and immersive data-driven experiences utilizing AI-based techniques. - Deploy AI/ML training and inference algorithms in distributed computing environments. - Partner with ATG researchers on opportunities in adjacent research domains such as applied AI and machine learning in audio/video domains. Requirements for Success: - Technical depth: Ability to implement scalable AI/ML libraries and platforms for real-time processing and knowledge of Audio/Video streaming formats. - Openness to explore new technologies and innovate in new areas. - Ability to invent and innovate technologies that enhance the sight and sound associated with digital content consumption. - Sense of urgency to respond to changing trends and technologies. - Collaborative mindset to work with peers and external partners to develop industry-leading technologies. Background: - PhD in Computer Science or related field with proven R&D experience or exceptional Master's candidates with 4+ years of experience. - Expertise in deep learning frameworks and ML libraries such as TensorFlow, PyTorch, scikit-learn, Spark MLLib. - Experience in large-scale distributed systems like Hadoop, Spark, etc. - Proficiency in Python, C++, or related languages. - Strong analytical, problem-solving, communication, and presentation skills. - Experience with AWS, GCP, DevOps, CI/CD, and UNIX/Linux commands. - Strong publication record in leading IEEE, ACM conferences and journals. Join Dolby and be part of a team that is shaping the future of entertainment technology with innovative research and cutting-edge solutions.,

As the Senior AI Researcher at Dolby, you will be an integral part of our research efforts to pioneer the next generation of AI-based audio and video technologies. Collaborating with our world-class audio and vision experts, you will be at the forefront of inventing new multimedia analysis, processing, and rendering technologies. Your contributions will explore new horizons in audio processing, analysis, replay, and organization, playing a crucial role in performing fundamental research, technology transfer, and drafting patent applications. Your primary responsibility will be to push the boundaries of state-of-the-art in audio and media technologies, requiring a strong background in deep learning both conceptually and practically. You will stay updated with the latest literature, implement cutting-edge generative models, self-supervised learning, and multi-modal learning to innovate and drive impactful projects. Collaboration with Dolby's Applied AI team will allow you to integrate advanced technologies into next-generation audio and media experiences, focusing on audio models, language models, vision-language systems, captioning, and more. You will work closely with domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning, leveraging deep learning to create new solutions, enhance existing applications, and develop intellectual property. Your expertise in audio processing, along with knowledge in video or text processing, will be invaluable. Additionally, your strong publication record in major machine learning conferences and proficiency in Python and deep learning frameworks like TensorFlow or PyTorch will be essential to envision new technologies and transform them into innovative products. If you hold a Ph.D. in Computer Science or a similar field, possess a keen interest in audio processing, and have a solid foundation in deep learning, we encourage you to join us at Dolby. Your ability to envision new technologies, communicate effectively, and collaborate seamlessly will be key in driving our research direction and influencing business decisions with your expertise.,

The ideal candidate for this role will be responsible for providing technical leadership on high-impact projects and guiding a distributed team of engineers. You will play a crucial role in aligning teams on goals, outcomes, and timelines, while effectively managing project priorities, deadlines, and deliverables. Your duties will include designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. In this position, you will collaborate closely with Research teams and ML practitioners to create and refine engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, user interfaces, and support user adoption. You will be expected to leverage your expertise in software development, data structures, algorithms, testing, software design, architecture, front-end frameworks, full-stack development, and API development. The qualifications and education requirements for this role include a Bachelor's degree or equivalent practical experience, along with 8 years of experience in software development and data structures/algorithms. Additionally, you should have 5 years of experience in testing, launching software products, and 3 years of experience in software design and architecture. Proficiency in front-end frameworks, full-stack development, or API development is essential, as well as experience with machine learning algorithms, tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing, or other ML disciplines. Familiarity with Generative AI, such as Large Language Models, Multi-Modal, and Large Vision Models, is also preferred. Preferred skills for this role include a Master's degree or PhD in Engineering, Computer Science, or a related technical field. It is desirable to have 3 years of experience in a technical leadership role, leading project teams and setting technical direction. Experience working in a complex, matrixed organization involving cross-functional or cross-business projects for at least 3 years would be advantageous.,

You will be responsible for: - Working with automation protocols such as OPC UA and MQTT - Programming robotics using languages like C++ and Python - Utilizing Mitsubishi PLC, Kinco HMI, Vision camera, and LabVIEW for programming - Implementing machine learning frameworks like TensorFlow and PyTorch Your main duties will include leading Industry 4.0 initiatives to enhance automated machines and digitalization. You will also oversee maintenance operations, ensure equipment reliability, and optimize plant performance. Qualifications: - Minimum of 8 years of experience in a similar role within the Industry 4.0 or related field - Educational background in Engineering This is a full-time, permanent position with a day shift schedule from Monday to Friday. The preferred education level is a Bachelor's degree. Experience with Selenium is also preferred. Work Location: In person,

You will be a Machine Learning Engineer responsible for assisting in the development and deployment of machine learning models and data systems. This entry-level position offers an opportunity to apply your technical skills to real-world challenges and collaborate within a team environment. Your responsibilities will include: - Assisting in the design, training, and optimization of machine learning models. - Supporting the development of scalable data pipelines for machine learning workflows. - Conducting exploratory data analysis and data preprocessing tasks. - Collaborating with senior engineers and data scientists to implement solutions. - Testing and validating machine learning models for accuracy and efficiency. - Documenting workflows, processes, and key learnings. You should possess: - A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - Basic proficiency in Python and familiarity with libraries such as NumPy, Pandas, Scikit-learn, and Tensorflow. - Knowledge of SQL and fundamental machine learning concepts and algorithms. - Exposure to cloud platforms like AWS, GCP, or Azure would be advantageous. Additionally, you should have: - 0-1 years of experience in data engineering or related fields. - Strong analytical skills and the ability to troubleshoot complex issues. - Leadership skills to guide junior team members and contribute to team success. Preferred qualifications include: - A Bachelor's degree in Computer Science, Information Technology, or a related field. - Proficiency in Scikit-learn, Pytorch, and Tensorflow. - Basic understanding of containerization tools like Docker. - Exposure to data visualization tools or frameworks. Your key performance indicators will involve demonstrating progress in applying machine learning concepts and successfully completing tasks within specified timelines.,

Role Description This is a full-time role for an AI Engineer specializing in Vertex AI and GCP at Tek Artisans LLC. The AI Engineer will be responsible for designing, developing, and implementing machine learning models, including pattern recognition and neural networks. The role involves natural language processing (NLP) and software development to create effective AI solutions. This is an on-site role located in Hyderabad. 🚀 We're Hiring: AI Engineer – Vertex AI / GCP 📍 Location: India (Remote – Must work in US timings) 🔐 Client: Confidential (Security-Focused Team) We’re looking for an AI Engineer with strong experience in Vertex AI and GCP to help our cloud security team improve IAM and access control using AI-driven automation. 🔧 Key Responsibilities: Use Vertex AI to detect and fix misconfigured IAM roles in GCP Automate access governance and least-privilege enforcement Deploy ML pipelines using Vertex AI Pipelines , BigQuery , Cloud Functions Collaborate with cloud security and engineering teams Manage ML model lifecycle and performance monitoring ✅ Requirements: 5+ years in AI/ML engineering or cloud automation 2+ years hands-on with Vertex AI + GCP Strong knowledge of GCP IAM Proficient in Python , TensorFlow, PyTorch, or scikit-learn Experience with MLOps practices and secure ML deployment 📩 Interested? Send your resume to: mark@tekdallas.com Let’s build secure, intelligent cloud solutions together!

OnGrid is a rapidly growing digital trust platform in India that specializes in providing verifications, background checks, reference checks, employee/staff onboarding, KYC services, and issuing verified credentials. Founded by IIT-B alumni, OnGrid has successfully completed over 500 million checks and serves 3000+ satisfied clients. The core focus at OnGrid is on redefining and reimagining Trust by leveraging technology to build a digital trust platform that ensures verified credentials are instantly sourced directly from the provider. The team at OnGrid has established the foundational pillars of trust and is now looking to explore uncharted territories and innovative approaches. To drive this vision forward and scale it further, OnGrid is seeking a motivated Senior AI Engineer who possesses experience in developing high-performing, scalable, enterprise-grade applications. If you are a visionary individual who is constantly seeking the right solutions, a technology enthusiast who is eager to enhance their skills, and someone who is passionate about driving impactful change, then you are the ideal candidate OnGrid is looking for. As a Senior AI Engineer at OnGrid, your key responsibilities will include collaborating with product and tech teams to shape and enhance the AI strategy and R&D efforts, contributing to significant AI use cases for both internal and client applications, developing AI/ML solutions for complex problems while upholding ethical standards, conducting research in areas like computer vision, NLP, Gen AI, and deep learning, as well as integrating and optimizing AI models in production systems using real-time data. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science or a related field, with a specialization in Data Science, Machine Learning, or Artificial Intelligence being advantageous. A minimum of 3+ years of practical experience in solving real-world AI challenges is required, focusing on various areas such as Computer Vision, Deep Learning, Object Detection, NLP, Generative AI, RAG, LLMs, and AI agents. Proficiency in Python programming, experience with frameworks like Django and Flask, Java knowledge, familiarity with Microservices Architecture, and exposure to cloud platforms like AWS, Azure, or Google Cloud are desirable qualifications. In terms of technical expertise, the candidate should have hands-on experience with vision models such as YOLO, ResNet, and OCR, expertise in generative AI models and LLMs like Claude, LLaMA, Qwen, Mistral, etc., and proficiency in using frameworks and tools like TensorFlow, PyTorch, LangChain, PydanticAI, OpenCV, Django, Flask, Postman, Docker, Swagger, AWS, and GCP. Furthermore, a strong understanding of GPU-accelerated training, deployment of AI models in production environments, and advanced AI concepts like convolutional neural networks, transformer architectures, and data preparation pipelines is essential. Joining OnGrid provides an opportunity to work in a dynamic and innovative team environment, tackle impactful challenges, shape the future of digital trust and AI technologies, and be part of a collaborative workspace that fosters continuous learning and growth.,

You should hold a Bachelor's degree in Physics, Mathematics, Engineering, Metallurgy, or Computer Science, along with an MSc in a relevant field such as Physics, Mathematics, Engineering, Computer Science, Chemistry, or Metallurgy. Additionally, you should possess at least 8 years of experience in Data Science and Analytics delivery. Your expertise should include deep knowledge of machine learning, statistics, optimization, and related fields. Proficiency in programming languages like R and Python is essential, as well as experience with machine learning skills such as Natural Language Processing (NLP) and deep learning techniques. Furthermore, you should have hands-on experience with deep learning frameworks like TensorFlow, Keras, Theano, or PyTorch, and be familiar with working with large datasets, including knowledge of extracting data from cloud platforms and the Hadoop ecosystem. Experience in Data Visualization tools like MS Power BI or Tableau, as well as proficiency in SQL and working with RDBMS for data extraction and management, is required. An understanding of Data Warehouse fundamentals, experience in productionizing Machine Learning models in cloud platforms like Azure, GCP, or AWS, and domain experience in the manufacturing industry would be advantageous. Demonstrated leadership skills in nurturing technical talent, successfully completing complex data science projects, and excellent written and verbal communication are essential. As an AI Expert with a minimum of 10 years of experience, your key responsibilities will include serving as a technical expert, providing guidance in the development and implementation of AI solutions, and collaborating with cross-functional teams to integrate AI technologies into products and services. You will actively participate in Agile methodologies, contribute to PI planning, and support the technical planning of products. Additionally, you will analyze technical requirements, propose AI-based solutions, collaborate with stakeholders to design AI models that meet business objectives, and stay updated on the latest advancements in AI technologies. Your role will involve conducting code reviews, mentoring team members, and driving the adoption of AI technologies across the organization. Strong problem-solving skills, a proactive approach to problem resolution, and the ability to work under tight deadlines without compromising quality are crucial for this role. Overall, you will play a critical role in driving significant impact and value in building and growing the Data Science Centre of Excellence, providing machine learning methodology leadership, and designing various POCs using ML/DL/NLP solutions for enterprise problems. Your ability to learn new technologies and techniques, work in a fast-paced environment, and partner with the business to unlock value through data projects will be key to your success in this position.,

As a Senior AI Engineer specializing in Computer Vision and Azure Cloud at INNOFarms.AI, a pioneering Agri DeepTech startup, you will play a crucial role in developing cutting-edge AI and Robotics solutions for the advancement of climate-resilient smart farming practices. Our mission at INNOFarms.AI is to revolutionize food production in urban and resource-constrained areas by leveraging AI, robotics, and market intelligence to create a modular and scalable infrastructure for indoor vertical farming and Controlled Environment Agriculture (CEA). By addressing key challenges such as crop unpredictability, labor intensity, and supply-demand alignment, we are committed to driving sustainable food production globally. Your responsibilities will include designing and implementing advanced computer vision systems for object detection, segmentation, and tracking, as well as building and managing scalable data pipelines from diverse field and sensor datasets. In addition, you will collaborate across disciplines to integrate computer vision models with robotics, drones, and IoT systems. Leveraging Azure Cloud services like IoT Hub, Functions, CosmosDB, and Event Hubs, you will deploy production-grade AI models and continuously optimize algorithms for improved speed, accuracy, and performance. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, AI, or a related field, with at least 5 years of experience in AI, SaaS, Cloud, or IoT development. You must possess specialized expertise in computer vision, particularly in object detection, tracking, and segmentation, and be proficient in tools such as OpenCV, TensorFlow, PyTorch, and modern MLOps workflows. Familiarity with Azure Cloud services and experience in building image data pipelines and multi-head CV models are essential. A startup mindset, strong collaboration skills, and the ability to work in fast-paced environments are key attributes we are looking for in potential candidates. While not mandatory, a background in AgriTech, Smart Automation, or IoT ecosystems, along with knowledge of global data compliance, cybersecurity, and AI governance best practices, would be advantageous. Experience in mentoring junior engineers or leading small teams is a plus. If you are passionate about driving innovation in sustainable agriculture and eager to be part of a dynamic team shaping the future of food production, we invite you to join us at INNOFarms.AI. Your contribution will not only involve writing code but also be a driving force behind the AgriTech revolution. Take the first step towards transforming the agriculture industry by applying now and becoming a catalyst for positive change in global food systems.,

As a Python Backend Engineer specializing in AWS with a focus on GenAI & ML, you will be responsible for designing, developing, and maintaining intelligent backend systems and AI-driven applications. Your primary objective will be to build and scale backend systems while integrating AI/ML models using Django or FastAPI. You will deploy machine learning and GenAI models with frameworks like TensorFlow, PyTorch, or Scikit-learn, and utilize Langchain for GenAI pipelines. Experience with LangGraph will be advantageous in this role. Collaboration with data scientists, DevOps, and architects is essential to integrate models into production. You will be working with AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Additionally, managing CI/CD pipelines for backend and model deployments will be a key part of your responsibilities. Ensuring the performance, scalability, and security of applications in cloud environments will also fall under your purview. To be successful in this role, you should have at least 5 years of hands-on experience in Python backend development and a strong background in building RESTful APIs using Django or FastAPI. Proficiency in AWS cloud services is crucial, along with a solid understanding of ML/AI concepts and model deployment practices. Familiarity with ML libraries like TensorFlow, PyTorch, or Scikit-learn is required, as well as experience with Langchain for GenAI applications. Experience with DevOps tools such as Docker, Kubernetes, Git, Jenkins, and Terraform will be beneficial. An understanding of microservices architecture, CI/CD workflows, and agile development practices is also desirable. Nice to have skills include knowledge of LangGraph, LLMs, embeddings, and vector databases, as well as exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms. Additionally, familiarity with MLOps tools and practices for model monitoring, versioning, and retraining will be advantageous. This is a full-time, permanent position with benefits such as health insurance and provident fund. The work location is in-person, and the schedule involves day shifts from Monday to Friday in the morning. If you are interested in this opportunity, please contact the employer at +91 9966550640.,

As a Learning Data Science/Machine Learning Professional at our organization, you will be responsible for conducting live instruction sessions to teach core topics in data science and machine learning. These topics include supervised and unsupervised learning, deep learning, model evaluation, and MLOps. You will engage with learners through interactive sessions to ensure a comprehensive understanding of the subject matter. Collaboration with content teams is a crucial aspect of this role. You will work closely with these teams to design labs, conduct code walkthroughs, and develop real-world case studies utilizing Python, scikit-learn, TensorFlow/PyTorch, and cloud-based data science and machine learning services. Your input will contribute to the creation of a dynamic and engaging curriculum. In addition to live instruction and curriculum collaboration, you will provide support to learners by addressing technical queries, debugging code, reviewing notebooks, and offering constructive feedback on assignments and projects. Your mentorship will extend to guiding learners on capstone projects such as image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous improvement is a key focus area of this role. You will analyze learner performance data to refine modules, introduce emerging topics like transformers and generative models, and enhance assessments to ensure an enriching learning experience. To be successful in this position, you should possess a minimum of 3 years of industry or academic experience in data science, machine learning, or artificial intelligence. A Master's degree in Data Science, Machine Learning, AI, or a Computer Science specialization in AI and Data Science/Machine Learning is required. Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch is essential. Familiarity with MLOps tools like Docker, Kubernetes, MLflow, and cloud ML services such as AWS SageMaker, GCP AI Platform, or Azure ML is highly desirable. Strong presentation and mentoring skills in live and small-group settings are crucial for this role. Previous teaching or educational technology experience would be a significant advantage in fulfilling the responsibilities of this position.,

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With over 125,000 employees spread across more than 30 countries, we are characterized by our innate curiosity, entrepreneurial agility, and commitment to creating lasting value for our clients. Our purpose, which is the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist, specializing in Azure Generative AI & Advanced Analytics. In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. Your responsibilities will include developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a crucial role in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently. - Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. - Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. - Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. Qualifications: Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Relevant experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Strong proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. If you are passionate about leveraging your skills and expertise to drive AI-driven insights and automation in a dynamic environment, we invite you to apply for the role of Principal Consultant - Data Scientist at Genpact. Join us in shaping the future and creating lasting value for our clients.,

Job Description Generative AI Expert and Lead – band C2 Location: India (Hybrid) Role And Responsibilities SME for clients: Serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their needs and deliver tailored generative AI solutions. Project Leadership: Lead multiple generative AI projects, ensuring timely delivery and high-quality outcomes. Define project deliverables, timelines, and methodologies. Team Management: Manage and mentor a team of AI specialists, fostering a collaborative and innovative environment. Solution Design: Architect and implement advanced generative AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems. Thought Leadership: Provide strategic insights and thought leadership in generative AI, driving innovation and best practices within the organization. Technical Expertise: Stay abreast of the latest advancements in generative AI and machine learning, integrating cutting-edge technologies into projects. Qualifications Educational Background: Master's or PhD in computer science, engineering, mathematics, or related fields from top-tier institutions. Experience: 8+ years of experience in AI and machine learning, with a focus on generative AI, deep learning, and NLP. Proven track record in delivering generative AI projects. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP). Experience with large-scale data processing and model deployment. Certifications: Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, or similar. (Preferred not mandatory) Leadership: Demonstrable leadership ability, with experience managing and mentoring teams. Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative generative AI solutions. Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Industry Knowledge: Deep understanding of industry trends and challenges in generative AI and machine learning.

Job Description Generative AI Expert and Lead – band C1 Location: India (Hybrid) Role And Responsibilities SME for clients: Serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their needs and deliver tailored generative AI solutions. Project Leadership: Lead multiple generative AI projects, ensuring timely delivery and high-quality outcomes. Define project deliverables, timelines, and methodologies. Team Management: Manage and mentor a team of AI specialists, fostering a collaborative and innovative environment. Solution Design: Architect and implement advanced generative AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems. Thought Leadership: Provide strategic insights and thought leadership in generative AI, driving innovation and best practices within the organization. Technical Expertise: Stay abreast of the latest advancements in generative AI and machine learning, integrating cutting-edge technologies into projects. Qualifications Educational Background: Master's or PhD in computer science, engineering, mathematics, or related fields from top-tier institutions. Experience: 8+ years of experience in AI and machine learning, with a focus on generative AI, deep learning, and NLP. Proven track record in delivering generative AI projects. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP). Experience with large-scale data processing and model deployment. Certifications: Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, or similar. (Preferred not mandatory) Leadership: Demonstrable leadership ability, with experience managing and mentoring teams. Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative generative AI solutions. Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Industry Knowledge: Deep understanding of industry trends and challenges in generative AI and machine learning.

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics 1) Purpose of the role We seek a highly skilled Senior Machine Learning Engineer / Senior Data Scientist to design, develop, and deploy advanced machine learning models and systems. The ideal candidate will have deep expertise in machine learning algorithms, data processing, and model deployment, with a proven track record of delivering scalable AI solutions in production environments. This role requires strong technical leadership, collaboration with cross-functional teams, and a passion for solving complex problems. 2) Key tasks & accountabilities Model Development: Design, develop, and optimize machine learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics. Data Pipeline Management: Build and maintain robust data pipelines for preprocessing, feature engineering, and data augmentation to support model training and evaluation. Model Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance using tools like Docker, Kubernetes, or cloud platforms preferably Azure. Research and Innovation: Stay updated on the latest advancements in machine learning and AI, incorporating state-of-the-art techniques into projects to improve performance and efficiency. Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Performance Optimization: Monitor and optimize model performance, addressing issues like model drift, bias, and scalability challenges. Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices for software development and version control (e.g., Git). Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation within the team. 3) Qualifications, Experience, Skills Level of educational attainment required Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus. Previous work experience 5+ years of experience in machine learning, data science, or a related field. Proven experience in designing, training, and deploying machine learning models in production. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Technical Skills required Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning, reinforcement learning, optimization). Experience with big data technologies (e.g., Hadoop, Spark, or similar) and data processing pipelines. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD for ML workflows. Knowledge of software engineering principles, including object-oriented programming, API development, and microservices architecture. Other Skills required Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Experience with generative AI models or large language models (LLMs). Familiarity with distributed computing or high-performance computing environments. And above all of this, an undying love for beer! We dream big to create future with more cheers

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Director Job Description & Summary At PwC, our people in project portfolio management focus on optimising project portfolios to drive strategic business outcomes. These individuals oversee project selection, prioritisation, and resource allocation to facilitate successful project delivery. In project management at PwC, you will oversee and coordinate various projects to facilitate successful delivery within budget and timeline. You will leverage strong organisational and communication skills to effectively manage teams and stakeholders. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description A career within SAP Consulting services, will provide you with the opportunity to help our clients maximize the value of their SAP investment with offerings that address sales, finance, supply chain, engineering, and human capital. We provide comprehensive consulting, system integration and implementation services across multiple SAP applications, products and technologies. Simply put, we focus on delivering business led, technology enabled change for our clients including industry specific enterprise resource planning and the latest in mobile, analytics and cloud solutions *Responsibilities: • Design and architect AI solutions integrated with SAP systems to enhance business processes and decision-making capabilities. • Collaborate with business stakeholders and IT teams to identify opportunities for AI-driven improvements and innovations. • Lead the development and deployment of machine learning models and AI algorithms tailored to SAP applications. • Ensure that AI solutions are scalable, efficient, and aligned with best practices in AI and SAP environments. • Provide technical leadership and guidance to development teams, ensuring high-quality deliverables. • Stay up-to-date with the latest advancements in AI, machine learning, and SAP technologies to ensure the organization remains at the forefront of innovation. • Define and implement data strategies and pipelines to support AI initiatives within SAP ecosystems. • Participate in the design of cloud-based architectures for hosting AI applications, ensuring robust and secure integrations. • Conduct workshops and training sessions to promote AI literacy and best practices within the organization. • Evaluate and recommend new tools and technologies that can enhance the organization's AI and SAP capabilities. *Mandatory skill sets • Proven experience as an AI Architect or similar role, with a focus on SAP environments. • Strong expertise in SAP technologies, including SAP S/4HANA, SAP Cloud Platform, and SAP Leonardo. • Proficiency in AI and machine learning frameworks such as TensorFlow, PyTorch, or similar. • Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in deploying AI solutions. • Strong programming skills in languages such as Python, Java, or R. • Excellent problem-solving skills and the ability to work effectively in a collaborative environment. • Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. *Preferred skill sets • Experience with natural language processing (NLP) and computer vision applications within SAP environments. • Familiarity with data visualization tools and techniques. • Experience in agile development methodologies. *Years of experience required • 15-25 Yrs experience *Education Qualification • BE/BTech/MBA/MCA/CAs Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Business Case Development, Business Process Improvement, Change Control Processes, Coaching and Feedback, Communication, Costing, Creativity, Embracing Change, Emotional Regulation, Empathy, Inclusion, Influence, Innovation, Intellectual Curiosity, IT Project Lifecycle, Kanban (Project Management), Learning Agility, Optimism, Plan of Action and Milestones (POA&M), Process Mapping {+ 35 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Job Title: Manager – Senior ML Engineer (Full Stack) About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Summary : The Manager – Senior ML Engineer (Full Stack) will be responsible for leading the development and integration of Generative AI (GenAI) technologies, writing code modules, and managing full-stack development projects. The ideal candidate will have a strong background in Python and a proven track record in machine learning and full-stack development. Required Skills Strong proficiency in Python programming. Experience with data analysis and visualization libraries like Pandas, NumPy, Matplotlib, and Seaborn. Proven experience in machine learning and AI development. Experience with Generative AI (GenAI) development and integration. Full-stack development experience, including front-end and back-end technologies. Proficiency in web development frameworks such as Django or Flask. Knowledge of machine learning frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn. Experience with RESTful APIs and web services integration. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git. Proficiency in writing unit tests and using debugging tools. Effective communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment. Knowledge of software development best practices and methodologies. Key Responsibilities Lead the development and integration of Generative AI (GenAI) technologies to enhance our product offerings. Write, review, and maintain code modules, ensuring high-quality and efficient code. Oversee full-stack development projects, ensuring seamless integration and optimal performance. Collaborate with cross-functional teams to define project requirements, scope, and deliverables. Manage and mentor a team of developers and engineers, providing guidance and support to achieve project goals. Stay updated with the latest industry trends and technologies to drive innovation within the team. Ensure compliance with best practices in software development, security, and data privacy. Troubleshoot and resolve technical issues in a timely manner. Qualifications Bachelor’s degree in computer science or an Engineering degree Minimum of 7 years of experience in machine learning engineering or a similar role. Demonstrated experience in managing technology projects from inception to completion.

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As Wholesale Credit Portfolio Analytics Analyst in Wholesale Credit Portfolio Analytics team, you will be responsible for creating valuable risk analytics solutions using advanced analytical frameworks and the firm's big data resources. The focus will be on leveraging data to improve the End-to-End credit risk process across the wholesale portfolio. Additionally, the role involves clearly and concisely communicating findings and insights to stakeholders. As part of Risk Management, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. Job Responsibilities Develop and maintain credit risk rating methodologies, tools, and frameworks to improve risk management processes, including counterparty rating models, exposure management, and credit approvals. Collaborate with internal model review and controls teams to ensure new methodologies are approved and compliant. Use data science techniques to derive insights and communicate findings. Contribute to generating new ideas to address both ad hoc and strategic projects. Present findings and recommendations to senior management through presentations Required Qualifications, Skills And Capabilities Relevant analytics, model/methodology development or credit risk experience Self-starter with creative problem-solving skills. Ideal candidates have experience in quantitative method development and data analysis and are comfortable discovering and communicating ideas through data. Degree in analytical field preferred (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) Experience with modern analytic and data tools, particularly Python/Anaconda and/or R, Tensorflow and/or Keras/PyTorch, Spark, or SQL. Excellent problem solving, communications, and teamwork skills. Financial service background preferred, but not required. Desire to use modern technologies as a disruptive influence within Banking ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Location : Remote (India-based preferred) Type : Internship (3–6 months) | Stipend: Yes Start Date : Immediate About HoGo Fresh HoGo Fresh is a mission-driven agri-tech company transforming the way food moves from farms to consumers. We leverage technology to create clean, transparent, and climate-resilient supply chains—empowering farmers while reducing food waste. Role Overview We are looking for a curious and analytical Data Analyst Intern who’s not only comfortable working with data—but also understands how data feeds into AI/ML models . This internship offers hands-on experience with real-world datasets from agriculture, supply chain, and customer behavior—all in a fast-paced, impact-driven environment. Responsibilities Collect, clean, and analyze structured and unstructured data from various sources (farm, logistics, consumer apps). Build visual dashboards and basic data pipelines using Excel, SQL, or Python tools (e.g., Pandas, NumPy). Assist the AI team in preparing datasets for training and evaluation of ML models (e.g., yield prediction, pricing, routing). Collaborate with tech, R&D, and operations teams to identify data-driven insights. Document findings and create presentations to support product or business decisions. You Should Have Pursuing or completed a degree in Data Science, Statistics, Computer Science, Agriculture Informatics, or a related field. Proficiency in Excel and at least one of: Python, R, or SQL. Understanding of data preparation for AI/ML models (e.g., feature selection, labeling, preprocessing). Strong analytical thinking, attention to detail, and ability to interpret trends and patterns. Bonus: Familiarity with visualization tools (Power BI, Tableau, Google Data Studio) or ML libraries (scikit-learn, TensorFlow). What You’ll Gain Exposure to real agri-tech data challenges at scale Mentorship in AI data workflows, model prep, and business intelligence Opportunity to collaborate cross-functionally in a purpose-driven startup Potential for a Pre-Placement Offer (PPO) based on performance Comprehensive health and wellness benefits tailored to interns, such as free webinars and consultations with industry professionals. Access to a vast network of agricultural and technological entrepreneurs for guidance on career planning. Monthly learning workshops focusing on leadership, innovation, and applied technologies in agri-supply chains. Skills: data cleaning,data analysis,data visualization,python,datasets,analytical thinking,attention to detail,data,supply,agriculture,sql,excel,models

We are seeking highly skilled and motivated AI Engineers with Strong Python experience and familiar with prompt engineering and LLM integrations to join our Innovations Team. The team is responsible for exploring emerging technologies, building proof-of-concept (PoC) applications, and delivering cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency. About the Role As a core member of the Innovations Team, you will work on AI-powered products, rapid prototyping, and intelligent automation initiatives across domains such as mortgage tech, document intelligence, and generative AI. Responsibilities Design, develop, and deploy scalable AI/ML solutions and prototypes. Build data pipelines, clean datasets, and engineer features for training models. Apply deep learning, NLP, and classical ML techniques. Integrate AI models into backend services using Python (e.g., FastAPI, Flask). Collaborate with cross-functional teams (e.g., UI/UX, DevOps, product managers). Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT). Stay current with advancements in AI/ML and suggest opportunities for innovation. Qualifications Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Certifications in AI/ML or cloud platforms (Azure ML, TensorFlow Developer, etc.) are a plus. Required Skills Technical Skills: Programming Languages: Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn. AI/ML Frameworks: TensorFlow, PyTorch, HuggingFace Transformers, OpenCV (nice to have). NLP & LLMs: Experience with language models, embeddings, fine-tuning, and vector search. Prompt Engineering: Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration. Backend Development: FastAPI or Flask for model deployment and REST APIs. Data Handling: Experience in data preprocessing, feature engineering, and handling large datasets. Version Control: Git and GitHub. Database Experience: SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred. Nice to Have (Optional): Experience with Docker, Kubernetes, or cloud environments (Azure, AWS). Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen). Soft Skills: Strong problem-solving and analytical thinking. Eagerness to experiment and explore new technologies. Excellent communication and teamwork skills. Ability to work independently in a fast-paced, dynamic environment. Innovation mindset with a focus on rapid prototyping and proof-of-concepts. Experience Level: 3–7 years, only Work from Office (Chennai location)

What You'll Do Avalara is an AI-first company. We expect every engineer, manager, and leader to actively leverage AI to enhance productivity, quality, innovation, and customer value. AI is embedded in our workflows, decision-making, and products — and success at Avalara requires embracing AI as an essential capability, not an optional tool. We are seeking an experienced and experienced AI & Machine Learning Technical Manager to lead our dynamic team in developing cutting-edge AI & ML solutions. This role is perfect for someone passionate about applying AI and ML, promote innovation, and create impactful products. You will be responsible for our AI systems (conversational agents, tax code classification for products and services, document intelligence, etc.) and how we apply them at Avalara to simplify and scale tax compliance across our entire portfolio of products. As an important part of our leadership team, you will shape the future of our AI & ML projects, manage a talented team of AI professionals, and collaborate with teams to implement projects. We offer the chance to work on pioneering AI technologies and mentor a team of experts, and contribute to the strategic direction of our AI & ML endeavors. This role will report to Sr Director of AI & ML. What Your Responsibilities Will Be Lead and manage a team of AI&ML engineers and data scientists, overseeing project lifecycles from conception to deployment, ensuring timely delivery. Develop team members, providing guidance on technical challenges, career development, and professional growth opportunities. Stay up to date with the latest AI&ML technologies and methodologies, incorporating new approaches into our projects to maintain competitive advantage. Develop our AI&ML strategy, aligning with our objectives, and ensuring the team's projects support this vision. Collaborate with teams, including product management, engineering, and design, to define project requirements, set priorities, and allocate resources effectively. Foster a culture of innovation, encouraging experimentation and learning, and leading by example in adopting a hands-on approach to problem-solving. Ensure implementing best practices in project management, software development, and quality assurance to optimize team performance and productivity. Manage stakeholder communications, providing regular updates on project status, important milestones, and any challenges or risks, ensuring alignment and support across the organization. What You’ll Need To Be Successful What You'll Need to be Successful Specific Qualifications Expertise in AI technologies and methodologies, with a portfolio of projects demonstrating your ability to apply these in solving complex problems. Experience building and deploying to production APIs powered by AI & Machine Learning systems. Proficiency in programming languages relevant to AI & ML, such as Python, R, Java, Scala, C++ and familiarity with AI & ML frameworks and libraries (e.g., PyTorch, TensorFlow, and Scikit-learn). Experience with cloud computing platforms (AWS, Azure, Google Cloud) and understanding of how to use these for scalable, secure, reliable distributed systems with complex workflows relying on AI & ML solutions. Background in data engineering and familiarity with database technologies, as well as, data processing / ETL pipelines and visualization tools. : General Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, or Machine Learning. 9 years of experience in AI & ML with at least 6 years in a management position, overseeing technical teams. Translate complex technical concepts and challenges into clear strategic plans and applicable solutions. People management skills, with experience mentoring and developing teams. Excellent project management skills, with experience in agile methodologies How We’ll Take Care Of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

What You'll Do Avalara is an AI-first company. We expect every employee to actively leverage AI to enhance productivity, quality, innovation, and customer value. AI is embedded in our workflows and products — and success at Avalara requires embracing AI as an essential capability, not an optional tool. As an AI/ML Technical Product Owner at Avalara, you will lead the development and integration of cutting-edge AI and Machine Learning solutions into our suite of tax compliance products. You’ll collaborate closely with cross-functional teams, including Product managers, ML Engineers, Software Development Engineers, Content Researchers and designers, to conceptualize, build, and deploy models that drive significant business impact. Your role will involve translating complex technical concepts into strategic product initiatives, ensuring the successful execution of these initiatives from brainstorming to deployment. You will report to Director of Engineering. What Your Responsibilities Will Be Product strategy and vision Define and drive the vision, strategy, and roadmap for AI & ML products, aligning them with Avalara’s overall business goals and customer needs. Identify new AI & ML opportunities by staying updated on industry trends, competitive landscape, and emerging technologies. Communicate product vision and strategy to stakeholders, including executives, engineering teams, and customers.Cross-functional leadership Collaborate with data scientists, engineers, and designers to define, prioritize, and execute AI/ML product initiatives. Work closely with engineering teams to translate product requirements into technical specifications and ensure delivery of high-quality features.Product development and execution Oversee the end-to-end product development lifecycle, from ideation and prototyping to testing, deployment, and iteration. Manage the backlog, prioritizing features and improvements based on customer feedback, market research, and business impact. Ensure the AI & ML models are properly integrated into products, focusing on scalability, performance, continuous improvementData-driven decision making Use data to inform product decisions, leveraging metrics, user feedback, and A/B testing to guide development priorities. Monitor the performance of AI & ML models and products post-launch, using analytics to identify areas for improvement and optimization.Stakeholder communication and reporting Present product updates, milestones, and performance metrics to executive leadership and other stakeholders. Facilitate regular meetings with cross-functional teams to ensure alignment and address any challenges or roadblocks. Prepare detailed reports on the progress of AI & ML initiatives, including successes, challenges, and next steps.Ethical AI considerations Ensure that AI & ML products adhere to ethical guidelines and industry best practices, including fairness, transparency, and data privacy. Advocate for responsible AI practices within the organization, ensuring that models and data usage align with legal and ethical standards.Customer and market insights Engage with customers, users, and industry experts to gather insights on market needs and pain points. Use these insights to inform product features and improvements, ensuring that the AI & ML products deliver real value to end users. What You’ll Need To Be Successful Educational Background: Bachelor's degree in Artificial Intelligence, Machine Learning, Data Science, or Computer Science. Advanced degrees or certifications in AI & ML Product Management Experience: Experience of managing AI/ML products from conception to launch for at least 8 years, including experience with roadmaps, prioritization, and stakeholder management. Envisage new products from the perspective of the end user in B2B and B2C contexts. Technical Skills: Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow), programming languages (e.g., Python, R, C++), and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with data engineering pipelines, model deployment, and MLOps. This is a remote position. How We’ll Take Care Of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.