4375 Pytorch Jobs - Page 45

Job Requirements Phenom Intro : Our purpose is to help a billion people find the right work! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,500 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal! What You’ll Do: Design, develop, and implement machine learning algorithms and models to improve our products and services Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Conduct research and stay updated with the latest advancements in machine learning to continuously improve our products Analyze and interpret large datasets to identify patterns and insights that can be used to enhance our products Develop and maintain machine learning pipelines and workflows Work closely with product managers, designers, and other engineers to ensure timely and high-quality delivery of features and enhancements Participate in code reviews and provide constructive feedback to improve code quality and maintainability Troubleshoot and resolve technical issues related to machine learning models and algorithms Document and communicate technical solutions and processes to team members and stakeholders. Work Experience What You’ve Done: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 0-3 years of experience in developing and implementing machine learning algorithms and models Knowledge of Transformers, Language Models , LLMs, AI Agents is a plus. Strong understanding of machine learning concepts and techniques such as supervised and unsupervised learning, deep learning, and natural language processing Proficiency in programming languages such as Python Experience with machine learning frameworks such as PyTorch, Transformers, TensorFlow or Keras Knowledge of data processing and analysis tools such as SQL, Spark, or Hadoop Excellent problem-solving and analytical skills Strong communication and collaboration skills Ability to work in a fast-paced and dynamic environment. Benefits We want you to be your best self and to pursue your passions! Benefits/programs to support holistic employee health Flexible hours and working schedules Growing organization with career pathing and development opportunities Tons of perks and extras in every location for all Phenoms! Diversity, Equity, & Inclusion Our commitment to diversity runs deep! Diversity is essential to building phenomenal teams, products, and customer experiences. Phenom is proud to be an equal opportunity employer taking collective action to build a more inclusive environment where every candidate and employee feels welcomed. We recognize there is more to be done. Our teams are committed to continuous improvement until these powerful ideas are ingrained in our culture for Phenom and employers everywhere!

About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role : Senior Computer Vision Engineer Functional Area : AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent. Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location : Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks. Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks. Test and refine models and systems based on real-world data and feedback. Evaluate project requirements, plan and manage the roadmap of a project. Present findings and insights in a clear and concise manner to stakeholders. Collaborate and help to integrate and deploy computer vision systems into broader product architecture. Conduct research to stay updated on emerging computer vision technologies and trends. Automate data preprocessing and annotation processes to streamline workflow efficiency. Maintain comprehensive documentation for algorithms, implementations, and evaluations. Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus. Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNN’s and vision transformers. Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras. Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation. Experience in evaluating computer vision models using relevant metrics and performance indicators. Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc. Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc. Basic knowledge of linear algebra, calculus, and statistics. Strong critical thinking, analytical, and problem-solving skills Self-motivated, quick learner and strong team player with ability to work with minimal supervision. Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an AI Vision Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. As an AI Vision Engineer, you will help drive the development of visual intelligence capabilities that power conversational AI experiences. You’ll work hands-on with generative models and computer vision techniques to evolve the image and video stack , improving quality, consistency, and user engagement. This is a highly applied role, focused on building and shipping production-grade features that enhance the creative potential of our platform. Key Responsibilities Collaborate closely with AI engineers, product managers, and content creators to define and execute on visual AI features Fine-tune diffusion-based models by embedding new concepts using techniques like Dreambooth, LoRA, or textual inversion Improve and extend our existing image and video generation pipelines using state-of-the-art computer vision and generative modeling techniques Implement advanced prompt engineering strategies and visual conditioning mechanisms to ensure high-quality output across diverse user scenarios. Evaluate, adapt, and integrate relevant open-source models (e.g. Stable Diffusion, VideoCrafter, ModelScope, Hunyuan) Contribute to shared tools and internal libraries that support dataset preparation, experimentation, and quality control Degree in Computer Science, Mathematics, Physics, or related subjects 2+ years of hands-on experience with generative vision models and techniques (e.g. Stable Diffusion, GANs, LoRA, Dreambooth, video diffusion models) Strong software engineering skills: writing clean, modular, maintainable code; familiarity with version control, testing, and team workflows Proficiency in Python and experience with tools and libraries such as PyTorch, Hugging Face Diffusers, Pillow, OpenCV, ComfyUI, or Automatic1111 Experience working with cloud-based environments (e.g. GCP, AWS) for training, experimentation, and data processing Soft Skills Strong communication & collaborative skills (perfectly fluent in English) Goal-oriented, ownership and commitment Doer mindset - we are moving fast and we need people who can find the right balance between executing, planning and strategy Humble - willing to learn, open to feedback #NSFW - you are comfortable building products that are based on uncensored models and content Bonus Points Background in designing intuitive tooling for content creators or technical teams Portfolio of visual AI projects or contributions to open-source models or tools

AI Intern – Internship Opportunity Company: DamnArt Location: On-site Duration: 3 Months] Certificate: Internship Completion Certificate Provided About the Internship We’re looking for passionate and motivated AI Interns to join our team and work on exciting projects in artificial intelligence and machine learning. This is a great opportunity for students or recent graduates to get hands-on experience and build a strong portfolio while working with real-world AI applications. Roles & Responsibilities Assist in developing AI and machine learning models Work with datasets to clean, preprocess, and analyze data Support the team in research on NLP, computer vision, or generative AI Help with model testing, evaluation, and fine-tuning Document processes, results, and reports Collaborate with mentors and contribute to team meetings ✅ Requirements Basic knowledge of Python programming Familiarity with libraries like NumPy, Pandas, Scikit-learn Understanding of machine learning or deep learning fundamentals Enthusiasm to learn and apply AI concepts Good problem-solving and communication skills Preferred: knowledge of TensorFlow, PyTorch, or NLP tools Who Can Apply Students in Computer Science, Engineering, Data Science, or related fields Fresh graduates looking to gain real-world experience Enthusiasts with self-taught AI/ML skills What You’ll Get Mentorship from experienced AI professionals Real-world project experience Internship certificate Opportunity to work on live projects or products Possible full-time opportunity based on performance How to Apply Send your resume and a short cover letter to hritc27@gmail.com with the subject "AI Internship Application Job Type: Internship Contract length: 3 months Pay: From ₹2,000.00 per month Schedule: Monday to Friday Work Location: In person

Job Title: Backend Developer Internship In Mohali Location: Mohali Duration : 6 Months Stipend Details: Rs.10,000-15,000/month Job Summary: We are looking for a passionate and enthusiastic Intern to join our IT software solutions team. This internship provides an excellent opportunity to gain hands-on experience in full-stack development, working on cutting-edge technologies, including AI-driven applications. The ideal candidate should have a strong interest in both front-end and back-end development and be eager to learn and grow in a dynamic work environment. Responsibilities: Assist in the design, development, and maintenance of web applications and software solutions. Work with senior developers to implement front-end and back-end features using modern frameworks and technologies. Write clean and efficient code under the guidance of experienced developers. Participate in debugging, troubleshooting, and improving application performance. Collaborate with cross-functional teams to understand project requirements and deliver quality solutions. Learn and work on AI and machine learning integration as an additional skill. Stay updated with the latest trends and advancements in software development. Requirements: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, IT, or a related field. School Education Board should be CBSE/ICSE Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, React.js, Angular, or Vue.js. Understanding of back-end development with Node.js, Python, Java, or PHP. Familiarity with databases like MySQL, PostgreSQL, or MongoDB. Exposure to cloud platforms such as AWS, Azure, or Google Cloud is a plus. Basic understanding of version control systems (Git, GitHub, GitLab). Interest in AI/ML technologies (TensorFlow, PyTorch, OpenAI, or related frameworks) is a plus. Strong problem-solving skills and eagerness to learn new technologies. Good communication and teamwork skills. Job Types: Full-time, Permanent, Internship Contract length: 6 months Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you willing to relocate to Mohali ? What is your School Education Board ? Work Location: In person

AI Intern – Internship Opportunity Company: [Your Company Name] Location: Remote / On-site / Hybrid Duration: [e.g., 2-3 Months] Stipend: [Yes/No – Mention Amount if Applicable] Start Date: [Insert Date or "Immediate Joiners Preferred"] Certificate: Internship Completion Certificate Provided About the Internship We’re looking for passionate and motivated AI Interns to join our team and work on exciting projects in artificial intelligence and machine learning. This is a great opportunity for students or recent graduates to get hands-on experience and build a strong portfolio while working with real-world AI applications. Roles & Responsibilities Assist in developing AI and machine learning models Work with datasets to clean, preprocess, and analyze data Support the team in research on NLP, computer vision, or generative AI Help with model testing, evaluation, and fine-tuning Document processes, results, and reports Collaborate with mentors and contribute to team meetings Requirements Basic knowledge of Python programming Familiarity with libraries like NumPy, Pandas, Scikit-learn Understanding of machine learning or deep learning fundamentals Enthusiasm to learn and apply AI concepts Good problem-solving and communication skills Preferred: knowledge of TensorFlow, PyTorch, or NLP tools Who Can Apply Students in Computer Science, Engineering, Data Science, or related fields Fresh graduates looking to gain real-world experience Enthusiasts with self-taught AI/ML skills What You’ll Get Mentorship from experienced AI professionals Real-world project experience Internship certificate Opportunity to work on live projects or products Possible full-time opportunity based on performance Job Type: Internship Contract length: 3 months Pay: ₹5,000.00 per month Schedule: Monday to Friday Work Location: In person

JOB DESCRIPTION: Role: Data Scientist / Deep Learning Engineer Location: Senapati Bapat Road, Pune Experience : 5-10 Years General Summary of the Role: Develop and optimize computer vision models for o bject detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs ). Work with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extraction from images. Work with PyTorch, TensorFlow, OpenCV for deep learning and image processing. Implement sequence-based models (RNNs, LSTMs, GRUs) for vision tasks. Optimize software for real-time performance on multiple platforms. Implement and deploy AI models via Flask/FastAPI and integrate with SQL/NoSQL databases. Use Git/GitHub for version control and team collaboration. Apply ML algorithms (regression, decision trees, clustering) as needed. Review code, mentor team members, and enhance model efficiency. Stay updated with advancements in deep learning and multimodal AI. Required Skills & Qualifications: Python proficiency for AI development. Experience with PyTorch, TensorFlow, and OpenCV. Knowledge of object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Experience with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR). Experience with RNNs, LSTMs, GRUs for sequence-based tasks. Experience with Generative Adversarial Networks (GANs) and Diffusion Models for image generation. Familiarity with REST APIs (Flask/FastAPI) and SQL/NoSQL databases. Strong problem-solving and real-time AI optimization skills. Experience with Git/GitHub for version control. Knowledge of Docker, Kubernetes, and model deployment at scale on serverless and on-prem platforms. Understanding of vector databases (FAISS, Milvus). Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure). Experience with Vision Transformers (ViTs) and Generative AI (GANs, Stable Diffusion, LMMs). Familiarity with Frontend Technologies. Job Types: Full-time, Permanent Pay: ₹1,800,000.00 - ₹2,500,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Application Question(s): what is your notice period? What's your current CTC? Experience: Deep learning/Data scientist: 5 years (Required) PyTorch, Python: 5 years (Required) TensorFlow: 5 years (Required) cloud platforms AWS, GCP, Azure: 5 years (Required) Vision Transformers (ViTs) and Generative AI: 5 years (Required) video processing & computer vision: 5 years (Required) Location: Pune, Maharashtra (Required) Work Location: In person

JOB DESCRIPTION About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. QUALIFICATIONS • 3-5 years of hands-on experience in software development, with a focus on AI/ML, NLP, DL. Strong knowledge of AI/ML algorithms, Recommendation systems, Reinforcement Learning, Gen AI and AI Agents. Proficient in any one of the programming languages like Python or R, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc., with a strong understanding of AI compliance. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP/On-premise hosting) . Well-versed with various AI/ML libraries for managing Bias, Variance etc. Experience in FastAPI. Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift Having knowledge or an understanding of Open Source Tools such as MLFlow and Fairlearn. Having an understanding of Gen AI prompt engineering techniques such as N-Shot, Chain of thoughts, Cove, etc. Ability to stay updated with the latest AI/ML security trends and technologies. Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Principal S/W Architect (B4) (Gen AI) Position Description: Honeywell's Value Engineering (VE) and Component Engineering (CE) Center of Excellence (COE) is a dynamic collective of professionals dedicated to refining product development through innovative engineering and strategic component selection. You will be part of Honeywell's VE/CE CoE Advanced Tech team driving Tech Charter & Strategy with focus on how AI/ML can enable us meet VE/CE revenue targets. You will be responsible to drive VE/CE COE Gen AI strategy & roadmap; perform market research; partner with strategic vendors and incubate new technologies, ideas and techniques that will ensure VE/CE CoE is able to leverage the latest and the best in the industry; and continues to be more efficient. You will also need to leverage existing Honeywell Technology ecosystem; Experts, CoPs and other Tech Forums to ensure adoption of best practices & ideas . YOU MUST HAVE: Overall 15+ years of experience, out of which 5+ years of experience in leading and managing AI/ML teams and projects , with demonstrated success in delivering impactful and actionable insights A master's degree or PhD in computer science, statistics, engineering, mathematics, or related fields. AI/ML Skills: Proficiency in Python, R, SQL, and common AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc. Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning etc. Working knowledge in LLM models like Gemini, Llama, GPT, DALL-E and frameworks like LangChain & Vector databases like Faiss, Pinecone etc. Experience in fine-tuning LLM using LoRA/QLoRA techniques Develop APIs and microservices to support Gen AI/ML applications Data Skills: Expertise in data integration, ETL processes, and working with SQL/NoSQL databases. Familiarity with Big Data technologies (Hadoop, Spark) and data warehousing solutions. Cloud & MLOps Skills: Strong understanding of cloud platforms, particularly GCP, for deploying AI applications Demonstrated experience in scaling AI/ML projects using MLOps practices for model lifecycle management Ability to analyse complex data sets, derive insights, and solve sophisticated problems with innovative solutions. Strong communication and presentation skills, with the ability to explain complex AI/ML concepts and results to both technical and non-technical audiences. Strong understanding of Business Process, IT Industry Standards Stay up-to-date with the latest developments in Gen AI/ML and cloud technologies. Track record of innovation and leadership in productizing AI research

Infilect, a leader in visual-intelligence for worldwide retail, is looking for candidates with engineering and deep learning experience of at least 2 years in the industry About Infilect: Infilect is founded by two PhDs and ex-IBM-Research-Scientists to build scalable visual-AI systems to make the world a better place. Infilect (https://www.infilect.com/) builds state of the art cloud and AI applications for the worldwide retail industry. We process images and videos at scale and in real-time in order to solve retail supply-chain problems, and make an environmentally sustainable net-positive impact on the world. We are driven by the promise of AI and software technology to save time, save cost, save energy, and improve user experience for businesses and consumers all over the world. Responsibilities: Reading research papers and implementing state-of-the-art techniques Rapidly extending publicly available code modules to work on custom problems Software development of machine learning back-end Rapid experimentation, analysis, and deployment of machine/deep learning models Training and testing deep learning models at scale Working on cutting-edge technology in object detection, object tracking, OCR in natural scenes, image classification, video analysis, and many more exciting techniques that form the basis of AI (artificial intelligence). Skills Required: Hands-on experience in deep/machine learning for computer vision of 2+ years (extensive experience OpenCV, PyTorch, Tensorflow) Hands-on experience in Python with 2+ years of in-depth system building experience Smart programmers with strong analytical skills Job Perks: Work on a problem that will have positive impact on millions of users Work with experienced computer scientists Lively and highly collaborative environment We offer a competitive salary, commission structure, and benefits package, as well as a dynamic and fast-paced work environment. We are an early-stage startup, and it implies putting your heart out to connect with customers and team members, solve hard & challenging problems, and build & maintain scalable systems. We are also quite conscious to build a highly collaborative & rich culture at Infilect. From 50 today, we expect to be 200 team member strong team in the next 2 years, serving global customers. If this interests you, come and join us on the rocket ship! Infilect as an Equal Opportunity Employer - We do not discriminate based on race, color, gender, religion, national origin, ancestry, age, disability, medical condition, genetic information, military & veteran status, marital status, pregnancy, gender identity, sexual orientation, or any other characteristics protected by local laws, regulations, and ordinance. We also make reasonable accommodations for disabled employees and applicants as required by law. We follow these principles in all areas of employment including recruitment, training, promotions, compensation, benefits, transfer, and social and recreational programs.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. Responsibilities: Lead the development and implementation of AI/ML, Generative AI and LLM projects, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications. Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses. Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.). In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modelling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: Minimum of 5 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail, Manufacturing) to quickly understand requirements and develop solutions. Graduate/Postgraduate in computer science, computer engineering, or equivalent with minimum of 10 years of experience in the IT industry. Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals. Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques. Experience using LLM models on cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI). Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS). Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions. Strong knowledge in programming, specifically in Python / R. Be well equipped to understand machine learning algorithms and be versatile enough to implement them in pure NumPy, TensorFlow or PyTorch as required Good understand of Mathematics Fundamentals like Statistics, Probability, Linear Algebra, and Calculus Experience in Data mining and providing data insights using visualization Knowledge in MySQL or NoSQL Databases will be added advantage Preferred Technical And Professional Experience Certification in one or more of the hyperscale's (Azure, AWS, Google Cloud Platform) Open Certified Data Scientist (Open CDS) – L2/L3 Familiarity with Agentic AI frameworks Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data n’ Analytics – Data & AI Strategy - Associate Director, Strategy and Transactions EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Associate Director – Data & AI Strategy. The main objective of the role is to develop and articulate a comprehensive and forward-looking Data & AI strategy that aligns with the overall business strategy and objectives. Translate business needs and opportunities into actionable data and AI initiatives. Develop and execute a roadmap for AI adoption and implementation across the organization. Identify and evaluate emerging AI technologies and their potential business applications. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. Discipline Data & AI Key Skills Strong understanding of data concepts, including data warehousing, data mining, data quality, and data governance. Familiarity with AI/ML concepts, algorithms, and applications (e.g., machine learning, deep learning, natural language processing). Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills and attributes for success 15-17 years of total experience with 10+ years in Data Strategy and architecture field 15-17 years of total experience with 7+ years in AI Strategy & implementation. Strong knowledge of data architecture, data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) Solid hands-on 10+ years of professional experience with creation and implementation of data science engagements and helping create AI/ML products Proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis 7+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 7+ years hands-on experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master’s Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 15 to 17 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description (Shaded areas for Talent use only) We are seeking a passionate data analyst to transform data into actionable insights and support decision-making in a global organization focused on pricing and commercial strategy. This role spans business analysis, requirements gathering, data modeling, solution design, and visualization using modern tools. The analyst will also maintain and improve existing analytics solutions, interpret complex datasets, and communicate findings clearly to both technical and non-technical audiences. Essential Functions of the Job: (Identify and describe essential functions, or primary duties and responsibilities. Each function should describe WHAT is done and the END RESULT/PURPOSE achieved. Assume that the reader does not know the role or function of the job.) Analyze and interpret structured and unstructured data using statistical and quantitative methods to generate actionable insights and ongoing reports. Design and implement data pipelines and processes for data cleaning, transformation, modeling, and visualization using tools such as Power BI, SQL, and Python. Collaborate with stakeholders to define requirments, prioritize business needs, and translate problems into analytical solutions. Develop, maintain, and enhance scalable analytics solutions and dashboards that support pricing strategy and commercial decision-making. Identify opportunities for process improvement and opperational efficiency through data-driven recommendations. Communicate complex findings in a clear, compelling, and actionable manner to both technical and non-technical audiences. Analytical/Decision Making Responsibilities: (Describe the kind of problems and challenges typically faced, and decisions required to perform the job, as well as recommendations made to supervisors or others. Focus on the nature of existing policies, precedents and procedures used to guide decisions, and the degree to which the incumbent is free to make decisions requiring interpretation and judgment. Provide an example.) Apply a hypothesis-driven approach to analyzing ambiguous or complex data and synthesizing insights to guide strategic decisions. Promote adoption of best practices in data analysis, modeling, and visualization, while tailoring approaches to meet the unique needs of each project. Tackle analytical challenges with creativity and rigor, balancing innovative thinking with practical problem-solving across varied business domains. Prioritize work based on business impact and deliver timely, high-quality results in fast-paced environments with evolving business needs. Demonstrate sound judgement in selecting methods, tools, and data sources to support business objectives. Knowledge and Skills Requirements: (Describe the knowledge or skills needed to perform this job; these may be professional, technical, or managerial) Proven experience as a data analyst, business analyst, data engineer, or similar role. Strong analytical skills with the ability to collect, organize, analyze, and present large datasets accurately. Foundational knowledge of statistics, including concepts like distributions, variance, and correlation. Skilled in documenting processes and presenting findings to both technical and non-technical audiences. Hands-on experience with Power BI for designing, developing, and maintaining analytics solutions. Proficient in both Python and SQL, with strong programming and scripting skills. Skilled in using Pandas, T-SQL, and Power Query M for querying, transforming, and cleaning data. Hands-on experience in data modeling for both transactional (OLTP) and analytical (OLAP) database systems. Strong visualization skills using Power BI and Python libraries such as Matplotlib and Seaborn. Experience with defining and designing KPIs and aligning data insights with business goals. Additional/Optional Knowledge and Skills: (Describe any additional knowledge or skills that, while not required, may be useful or helpful to perform this job; these may be professional, technical, or managerial) Experience with the Microsoft Fabric data analytics environment. Proficiency in using the Apache Spark distributed analytics engine, particularly via PySpark and Spark SQL. Exposure to implementing machine learning or AI solutions in a business context. Familiarity with Python machine learning libraries such as scikit-learn, XGBoost, PyTorch, or transformers. Experience with Power Platform tools (Power Apps, Power Automate, Dataverse, Copilot Studio, AI Builder). Knowledge of pricing, commercial strategy, or competitive intelligence. Experience with cloud-based data services, particularly in the Azure ecosystem (e.g., Azure Synapse Analytics or Azure Machine Learning). Supervision Responsibilities: (Describe the level of supervision received, i.e., the frequency of supervisory contact, degree to which the individual acts independently and on what kinds of issues. Describe the level of supervision of others, if any, i.e., assigning work, reviewing performance, direct or indirect responsibility). Operates with a high degree of independence and autonomy. Collaborates closesly with cross-functional teams including sales, pricing, and commercial strategy. Mentors junior team members, helping develop technical skills and business domain knowledge. Other Requirements: (Describe any miscellaneous functions or expectations of the job that are important to note) Collaborates with a team operating primarily in the Eastern Time Zone (UTC 4:00 / 5:00). Limited travel may be required for this role. Job Requirements: Education: (What is the minimum level of education or equivalent experience needed/suggested to perform this job effectively?) A bachelor’s degree in a STEM field relevant to data analysis, data engineering, or data science is required. Examples include (but are not limited to) computer science, statistics, data analytics, artificial intelligence, operations research, or econometrics. Experience: (What is the minimum number or range of years needed to perform this job?) 3–6 years of experience in data analysis, data engineering, or a closely related field, ideally within a professional services enviornment. Certification Requirements: (Describe and explain any certifications and/or licenses needed or helpful to perform this job). No certifications are required for this role. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Information Number of Positions 1 Industry Engineering Date Opened 06/09/2025 Job Type Permanent Work Experience 2-3 years City Bangalore State/Province Karnataka Country India Zip/Postal Code 560037 Location Bangalore About Us CloudifyOps is a company with DevOps and Cloud in our DNA. CloudifyOps enables businesses to become more agile and innovative through a comprehensive portfolio of services that addresses hybrid IT transformation, Cloud transformation, and end-to-end DevOps Workflows. We are a proud Advance Partner of Amazon Web Services and have deep expertise in Microsoft Azure and Google Cloud Platform solutions. We are passionate about what we do. The novelty and the excitement of helping our customers accomplish their goals drives us to become excellent at what we do. Job Description Culture at CloudifyOps : Working at CloudifyOps is a rewarding experience! Great people, a work environment that thrives on creativity, and the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. About the Role: We are seeking a proactive and technically skilled AI/ML Engineer with 2–3 years of experience to join our growing technology team. The ideal candidate will have hands-on expertise in AWS-based machine learning, Agentic AI, and Generative AI tools, especially within the Amazon AI ecosystem. You will play a key role in building intelligent, scalable solutions that address complex business challenges. Key Responsibilities: 1. AWS-Based Machine Learning Develop, train, and fine-tune ML models on AWS SageMaker, Bedrock, and EC2. Implement serverless ML workflows using Lambda, Step Functions, and EventBridge. Optimize models for cost/performance using AWS Inferentia/Trainium. 2. MLOps & Productionization Build CI/CD pipelines for ML using AWS SageMaker Pipelines, MLflow, or Kubeflow. Containerize models with Docker and deploy via AWS EKS/ECS/Fargate. Monitor models in production using AWS CloudWatch, SageMaker Model Monitor. 3. Agentic AI Development Design autonomous agent systems (e.g., AutoGPT, BabyAGI) for task automation. Integrate multi-agent frameworks (LangChain, AutoGen) with AWS services. Implement RAG (Retrieval-Augmented Generation) for agent knowledge enhancement. 4. Generative AI & LLMs Fine-tune and deploy LLMs (GPT-4, Claude, Llama 2/3) using LoRA/QLoRA. Build Generative AI apps (chatbots, content generators) with LangChain, LlamaIndex. Optimize prompts and evaluate LLM performance using AWS Bedrock/Amazon Titan. 5. Collaboration & Innovation Work with cross-functional teams to translate business needs into AI solutions. Collaborate with DevOps and Cloud Engineering teams to develop scalable, production-ready AI systems. Stay updated with cutting-edge AI research (arXiv, NeurIPS, ICML). 5. Governance & Documentation Implement model governance frameworks to ensure ethical AI/ML deployments. Design reproducible ML pipelines following MLOps best practices (versioning, testing, monitoring). Maintain detailed documentation for models, APIs, and workflows (Markdown, Sphinx, ReadTheDocs). Create runbooks for model deployment, troubleshooting, and scaling. Technical Skills Programming: Python (PyTorch, TensorFlow, Hugging Face Transformers). AWS: SageMaker, Lambda, ECS/EKS, Bedrock, S3, IAM. MLOps: MLflow, Kubeflow, Docker, GitHub Actions/GitLab CI. Generative AI: Prompt engineering, LLM fine-tuning, RAG, LangChain. Agentic AI: AutoGPT, BabyAGI, multi-agent orchestration. Data Engineering: SQL, PySpark, AWS Glue/EMR. Soft Skills Strong problem-solving and analytical thinking. Ability to explain complex AI concepts to non-technical stakeholders. What We’re Looking For Bachelor’s/Master’s in CS, AI, Data Science, or related field. 2-3 years of industry experience in AI/ML engineering. Portfolio of deployed ML/AI projects (GitHub, blog, case studies). Good to have an AWS Certified Machine Learning Specialty certification. Why Join Us? Innovative Projects: Work on cutting-edge AI applications that push the boundaries of technology. Collaborative Environment: Join a team of passionate engineers and researchers committed to excellence. Career Growth: Opportunities for professional development and advancement in the rapidly evolving field of AI. Equal opportunity employer CloudifyOps is proud to be an equal opportunity employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, color, sex, religion, national origin, disability, pregnancy, marital status, sexual orientation, gender reassignment, veteran status, or other protected category.

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an AI Vision Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. As an AI Vision Engineer, you will help drive the development of visual intelligence capabilities that power conversational AI experiences. You’ll work hands-on with generative models and computer vision techniques to evolve the image and video stack , improving quality, consistency, and user engagement. This is a highly applied role, focused on building and shipping production-grade features that enhance the creative potential of our platform. Key Responsibilities Collaborate closely with AI engineers, product managers, and content creators to define and execute on visual AI features Fine-tune diffusion-based models by embedding new concepts using techniques like Dreambooth, LoRA, or textual inversion Improve and extend our existing image and video generation pipelines using state-of-the-art computer vision and generative modeling techniques Implement advanced prompt engineering strategies and visual conditioning mechanisms to ensure high-quality output across diverse user scenarios. Evaluate, adapt, and integrate relevant open-source models (e.g. Stable Diffusion, VideoCrafter, ModelScope, Hunyuan) Contribute to shared tools and internal libraries that support dataset preparation, experimentation, and quality control Degree in Computer Science, Mathematics, Physics, or related subjects 2+ years of hands-on experience with generative vision models and techniques (e.g. Stable Diffusion, GANs, LoRA, Dreambooth, video diffusion models) Strong software engineering skills: writing clean, modular, maintainable code; familiarity with version control, testing, and team workflows Proficiency in Python and experience with tools and libraries such as PyTorch, Hugging Face Diffusers, Pillow, OpenCV, ComfyUI, or Automatic1111 Experience working with cloud-based environments (e.g. GCP, AWS) for training, experimentation, and data processing Soft Skills Strong communication & collaborative skills (perfectly fluent in English) Goal-oriented, ownership and commitment Doer mindset - we are moving fast and we need people who can find the right balance between executing, planning and strategy Humble - willing to learn, open to feedback #NSFW - you are comfortable building products that are based on uncensored models and content Bonus Points Background in designing intuitive tooling for content creators or technical teams Portfolio of visual AI projects or contributions to open-source models or tools

🤖 Machine Learning Intern (Remote) 🌐 🔍 Are you passionate about AI, algorithms, and building models that learn and evolve? Ready to kickstart your machine learning journey from anywhere in the world? This is your chance! 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Role: We’re looking for a curious and driven Machine Learning Intern to join our remote team! This internship is perfect for students or recent graduates eager to gain hands-on experience with machine learning techniques, data processing, and model development. You’ll work on real datasets, build and test machine learning models, and help bring AI-powered solutions to life — all while collaborating in a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – Learn and contribute on your schedule ⏰ ✅ Real-World Projects – Apply ML concepts to practical problems 📊 ✅ Skill Building – Develop Python, TensorFlow, scikit-learn, and more 🛠️ ✅ Mentorship – Learn from experienced data scientists and engineers 👥 👀 Ideal Candidate: 🎓 Currently studying or recently graduated in Computer Science, Data Science, AI, or related fields 🧠 Strong understanding of machine learning fundamentals and algorithms 🛠️ Experience with Python and ML libraries like TensorFlow, PyTorch, or scikit-learn 📈 Passionate about AI and eager to learn and grow 💬 Self-motivated and comfortable working independently in a remote setting 📅 Apply By: June 15th Excited to start your career in machine learning and build impactful AI solutions? We’d love to hear from you! Let’s innovate and solve problems with machine learning — together! 🤖📈💡 Show more Show less

Job Information Job Type Full time Work Experience 10+ years Industry IT Services Date Opened 04/30/2025 City Chennai City Corporation State/Province Tamil Nadu Country India Zip/Postal Code 600015 Job Description Job Summary: We are looking for an experienced AI Consultant (Part-time / Consultant) with a background in IT services or eCommerce and a strong focus on AI over the last 5 years. The ideal candidate will have deep technical knowledge combined with the ability to advise, design, and guide the implementation of AI solutions for business transformation. This is a strategic, high-impact role suitable for professionals looking for flexible engagement. Key Responsibilities: AI Strategy & Advisory: Partner with business and technical teams to identify AI opportunities across domains. Define AI adoption roadmaps tailored to the client’s business objectives. Conduct PoCs, solution evaluations, and ROI analysis. Solutioning & Delivery Support: Provide architectural and design guidance for AI/ML solutions. Advise on the selection and customization of AI models and platforms. Offer hands-on support or oversight in key phases such as data preparation, model building, and deployment. Stakeholder Engagement: Act as a trusted advisor for senior stakeholders, translating business needs into AI-driven solutions. Lead or participate in workshops and knowledge sessions for client teams. Recommend tools, platforms, and best practices based on industry standards. Required Skills & Experience: 10+ years of total experience in IT services or eCommerce domains. At least 5 years of recent, dedicated experience in AI/ML roles. Strong understanding of ML algorithms, NLP, computer vision, and generative AI (e.g., LLMs). Hands-on expertise in Python and popular ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with AI/ML deployment on cloud platforms like AWS, Azure, or GCP. Strong consulting, presentation, and communication skills. Preferred Qualifications: Prior consulting or part-time project-based engagement experience. Knowledge of AI applications in eCommerce such as personalization, fraud detection, and customer analytics. Familiarity with MLOps and production-grade AI pipeline deployment. Advanced degree or AI/ML certification (e.g., AWS/GCP/Azure ML certifications).

A Moving Experience. A Moving Experience. Do you have a passion for pushing the boundaries of innovation? Are you excited about AI’s potential to improve the human experience? Then come join the ride! Who is Cerence ai? Cerence ai is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that enable people to focus on what matters most. With over 500 million cars shipped with Cerence ai technology, we partner with leading automakers (such as Volkswagen, Mercedes, Audi, Toyota and many more), mobility providers, and technology companies to power intuitive, integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike. Our Driving Force Our team is dedicated to pushing the boundaries of AI innovation, working around the globe with headquarters in Burlington, Massachusetts, USA and 16 other offices across Europe, Asia, and North America. We bring together diverse backgrounds and varied skill sets with the shared goal of advancing the next generation of transportation user experiences. Our culture is customer-centric, collaborative, fast-paced, and fun, with continuous opportunities for learning and development to support your career growth. Interested in having a significant impact in a dynamic industry with a high-performing global team? We are seeking a highly skilled and innovative Automatic Speech Recognition (ASR) Senior Research Engineer to join our dynamic team. The ideal candidate will have a robust background ( experience or knowledge ) in developing and implementing ASR models specifically for automotive voice assistants. Person should be well-versed in the latest advancements in speech recognition technology, including generative AI, large language models (LLMs), and next-generation ASR frameworks. Your Impact: Model Development: Design, build, and optimize state-of-the-art ASR models tailored for automotive applications, ensuring high accuracy and low latency in voice recognition tasks. Assess the performance of ASR systems in real-world driving conditions including diverse accents and languages, noisy on-road conditions to train and validate ASR models effectively. Ability to conduct thorough testing and validation of LLM-based features to ensure high performance, reliability, and robustness in real-world scenarios. Iterate on models based on empirical data and user feedback. Collaboration: Work closely with cross-functional teams, including product managers, software engineers, and UX designers, to ensure seamless integration of ASR features into automotive voice assistant systems. Research & Innovation: Conduct cutting-edge research in ASR technology, focusing on integrating generative AI and LLM advancements to enhance voice interaction capabilities in automotive systems. Stay Updated: Keep abreast of the latest trends and technologies in ASR, generative AI, and voice user interfaces to enhance the overall performance of our systems continually. What you bring: B.Tech or Master's or Ph.D. AI-ML, Speech Recognition, Computer Science & Engineering, Applied mathematics or a related field. B.Tech with 2+ years or M.Tech with hands-on experience in developing ASR systems, preferably for automotive applications. Proficient on machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python etc. Hands-on experience on speech processing technologies, familiarity with the challenges of speech recognition in noisy environments, particularly in a vehicle context. Proven experience with natural language processing (NLP), deep learning techniques and integration of LLMs (e.g., OpenAI's GPT, BERT). Prior experience with training and fine-tuning large language models using large-scale datasets and distributed computing environments. Working Knowledge of any cloud computing platforms (e.g., AWS, Azure, Google Cloud) to deploy and scale ASR solutions. Excellent analytical and problem-solving skills, with a keen eye for detail. Ability to manage tasks and deliverables for simultaneous projects. Ability to work well both independently and within a team. Strong Knowledge or Experience with generative AI techniques and their application in enhancing conversational AI systems (Preferred). Familiarity with automotive standards and protocols (Preferred). What We Offer We offer a generous compensation and benefits package (in addition to the base salary), including: Annual bonus opportunity Insurance coverage (medical, life, and disability) Paid time off Paid holidays Company contribution to the RRSP (Registered Retirement Savings Plan) Equity awards for certain positions and levels Hybrid mode with 3 days WFO. Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages. As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. EQUAL OPPORTUNITY EMPLOYER Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement. All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes: Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace. Following security procedures to report any suspicious activity. Having respect for corporate security procedures to allow those procedures to be effective. Adhering to company's compliance and regulations. Encouraging to follow a zero tolerance for workplace violence. Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data). Demonstrative knowledge of information security through internal training programs. Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages. As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. EQUAL OPPORTUNITY EMPLOYER Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement. All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes: Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace. Following security procedures to report any suspicious activity. Having respect for corporate security procedures to allow those procedures to be effective. Adhering to company's compliance and regulations. Encouraging to follow a zero tolerance for workplace violence. Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data). Demonstrative knowledge of information security through internal training programs. Show more Show less

Our Company Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We create intelligent, user-first digital products that redefine industries through the power of AI and engineering excellence. Role Overview We are looking for a Senior Software Engineer-AI with 4-6 years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. What we are looking from an ideal candidate? Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-end—from research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. Preferred Skills What skills do you need? 3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering. Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio). Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel). Experience building and deploying ML models to production environments. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts. Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership. Solid understanding of API development, version control, and modern DevOps/MLOps practices. Show more Show less

Job Description We are seeking a skilled and motivated Software Engineer with strong experience in Google Cloud Platform (GCP) and Python programming. In this role, you will be responsible for designing, developing, and maintaining scalable and reliable cloud-based solutions, data pipelines, or applications on GCP, leveraging Python for scripting, automation, data processing, and service integration. Responsibilities Design, implement, and manage scalable, secure, and reliable infrastructure on Google Cloud Platform (GCP) using Infrastructure as Code (IaC) principles, primarily with Terraform. Develop and manage APIs or backend services in Python deployed on GCP services like Cloud Run Function, App Engine, or GKE. Build and maintain robust CI/CD pipelines (e.g., using Cloud Build, Jenkins, GitHub) to enable frequent and reliable application deployments. Work closely with software development teams to understand application requirements and translate them into cloud-native solutions on GCP. Implement and manage monitoring, logging, and alerting solutions (e.g., Cloud Monitoring, Prometheus, Grafana, Cloud Logging) to ensure system health and performance. Implement and enforce security best practices within the GCP environment (e.g., IAM policies, network security groups, security scanning). Troubleshoot and resolve production issues across various services (Applications) and infrastructure components (GCP). Work closely with product manager and business stakeholders to understand the business needs and associated systems requirements to meet customization required in SaaS Solution. Run and protect the SaaS Solution in AWS Environment and troubleshoots production issues. Active participant in all team agile ceremonies, manage the daily deliverables in Rally with proper user story and acceptance criteria. Provides input to product governance communications. Qualifications Bachelor’s degree in computer science or engineering 3+ plus years of software development and support experience including analysis, design, & testing. Domain experience within Automotive, Manufacturing and Supply chain Strong proficiency in Python programming, including experience with standard libraries and popular frameworks/libraries (e.g., Pandas, NumPy, FastAPI, Flask, Django, Scikit-learn, TensorFlow/PyTorch - depending on the role). Hands-on experience designing, deploying, and managing resources and services on Google Cloud Platform (GCP). Familiarity with database querying (SQL) and understanding of database concepts. Understanding of cloud architecture principles, including scalability, reliability, and security. Proven experience working effectively within an Agile development or operations team (e.g., Scrum, Kanban). Experience using incident tracking and project management tools (e.g., Jira, ServiceNow, Azure DevOps). Excellent verbal and written communication skills, with the ability to explain technical issues clearly to both technical and non-technical audiences. Excellent teamwork, written and verbal communication, and organizational skills are essential, ability to solve complex problems in a global environment Ability to multi-task effectively and prioritize work based on business impact and urgency Nice-to-Have Skills: GCP certifications (e.g., Associate Cloud Engineer, Professional Cloud DevOps Engineer, Professional Cloud Architect). Experience with other cloud providers (AWS, Azure). Experience with containerization (Docker) and orchestration (Kubernetes). Experience with database administration (e.g., PostgreSQL, MySQL). Familiarity with security best practices and tools in a cloud environment (DevSecOps). Experience with serverless technologies beyond Cloud Functions/Run. Contribution to open-source projects. Show more Show less

Position Title: AI/ML Engineer Company : Cyfuture India Pvt. Ltd. Industry : IT Services and IT Consulting Location : Sector 81, NSEZ, Noida (5 Days Work From Office) Website : www.cyfuture.com About Cyfuture Cyfuture is a trusted name in IT services and cloud infrastructure, offering state-of-the-art data center solutions and managed services across platforms like AWS, Azure, and VMWare. We are expanding rapidly in system integration and managed services, building strong alliances with global OEMs like VMWare, AWS, Azure, HP, Dell, Lenovo, and Palo Alto. Position Overview We are hiring an experienced AI/ML Engineer to lead and shape our AI/ML initiatives. The ideal candidate will have hands-on experience in machine learning and artificial intelligence, with strong leadership capabilities and a passion for delivering production-ready solutions. This role involves end-to-end ownership of AI/ML projects, from strategy development to deployment and optimization of large-scale systems. Key Responsibilities Lead and mentor a high-performing AI/ML team. Design and execute AI/ML strategies aligned with business goals. Collaborate with product and engineering teams to identify impactful AI opportunities. Build, train, fine-tune, and deploy ML models in production environments. Manage operations of LLMs and other AI models using modern cloud and MLOps tools. Implement scalable and automated ML pipelines (e.g., with Kubeflow or MLRun). Handle containerization and orchestration using Docker and Kubernetes. Optimize GPU/TPU resources for training and inference tasks. Develop efficient RAG pipelines with low latency and high retrieval accuracy. Automate CI/CD workflows for continuous integration and delivery of ML systems. Key Skills & Expertise 1. Cloud Computing & Deployment Proficiency in AWS, Google Cloud, or Azure for scalable model deployment. Familiarity with cloud-native services like AWS SageMaker, Google Vertex AI, or Azure ML. Expertise in Docker and Kubernetes for containerized deployments Experience with Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. 2. Machine Learning & Deep Learning Strong command of frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. Experience with MLOps tools for integration, monitoring, and automation. Expertise in pre-trained models, transfer learning, and designing custom architectures. 3. Programming & Software Engineering Strong skills in Python (NumPy, Pandas, Matplotlib, SciPy) for ML development. Backend/API development with FastAPI, Flask, or Django. Database handling with SQL and NoSQL (PostgreSQL, MongoDB, BigQuery). Familiarity with CI/CD pipelines (GitHub Actions, Jenkins). 4. Scalable AI Systems Proven ability to build AI-driven applications at scale. Handle large datasets, high-throughput requests, and real-time inference. Knowledge of distributed computing: Apache Spark, Dask, Ray. 5. Model Monitoring & Optimization Hands-on with model compression, quantization, and pruning. A/B testing and performance tracking in production. Knowledge of model retraining pipelines for continuous learning. 6. Resource Optimization Efficient use of compute resources: GPUs, TPUs, CPUs. Experience with serverless architectures to reduce cost. Auto-scaling and load balancing for high-traffic systems. 7. Problem-Solving & Collaboration Translate complex ML models into user-friendly applications. Work effectively with data scientists, engineers, and product teams. Write clear technical documentation and architecture reports. Show more Show less

Job Description Role: AI Engineer Employment Type: Full-Time, Permanent Location: On-site, Bengaluru Vacancies: Multiple Positions Company Overview EmployAbility.AI is an AI-driven career enablement platform dedicated to transforming how individuals and organizations navigate the future of work. We are committed to democratizing access to meaningful employment by using advanced artificial intelligence, real-time labor market data, and intelligent career pathways to bridge the gap between skills and opportunities. Our platform empowers job seekers with personalized career insights, learning recommendations, and job-matching tools while enabling organizations to make smarter hiring and workforce development decisions. By aligning talent capabilities with market demand, we help create a more inclusive, adaptive, and future-ready workforce. At EmployAbility.AI, we’re not just building software—we’re building solutions that make employability equitable, data-driven, and scalable. Job Role: AI Engineer As an AI Engineer at EmployAbility.AI, you will be at the forefront of building intelligent systems that power the platform’s core functionality—from LLM-based recommendations to intelligent search and contextual assistants. You will develop and deploy state-of-the-art AI models and pipelines using LLMs , LangChain , and Retrieval-Augmented Generation (RAG) to deliver impactful, real-world solutions. You will work closely with a cross-functional team of developers, data scientists, and product managers to create scalable, production-ready AI features that enhance user experiences and drive measurable value across industries and regions. Key Responsibilities Design and develop AI-driven features including conversational agents, recommendation engines, and smart search using LLMs. Build and integrate LangChain-based applications that leverage RAG pipelines for improved reasoning and contextual understanding. Fine-tune, evaluate, and optimize transformer models (BERT, GPT, LLaMA, etc.) for domain-specific use cases. Work with unstructured and semi-structured data (e.g., resumes, job descriptions, labor market datasets). Develop embedding-based search using tools like FAISS , Pinecone , or Weaviate . Collaborate with backend and frontend teams to integrate AI services via scalable APIs. Perform data preprocessing, feature engineering, and model evaluation. Monitor performance of deployed models and iterate based on feedback and metrics. Participate in prompt engineering, experiment tracking, and continuous optimization of AI systems. Stay updated on the latest trends in AI/ML and contribute to internal knowledge sharing. Education Requirements B.Tech/B.E, M.Tech, MCA, M.Sc, MS, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Core Technical Skills – AI Engineering Large Language Models & NLP Experience with LLMs and transformer-based architectures (e.g., GPT, BERT, LLaMA). Hands-on with LangChain framework and RAG (Retrieval-Augmented Generation) workflows. Proficiency in prompt engineering , embedding models, and semantic search. Experience using Hugging Face Transformers , OpenAI API , or open-source equivalents. Vector Stores & Knowledge Retrieval Experience with FAISS , Pinecone , or Weaviate for similarity search. Implementation of document chunking, embedding pipelines, and vector indexing. ML/AI Development Strong skills in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn). Familiar with NLP tasks like named entity recognition, text classification, and summarization. Experience with API development and deploying AI models into production environments. Tooling & Development Practices Version control with Git , collaborative workflows via GitHub Experiment tracking with MLflow , Weights & Biases , or equivalent API testing tools (Postman, Swagger), and JSON schema validation Use of Jupyter notebooks for experimentation and prototyping Deployment & DevOps (Basic Understanding) Containerization using Docker , basic orchestration knowledge is a plus Cloud environments: familiarity with AWS , GCP , or Azure CI/CD workflows (GitHub Actions, Jenkins) Monitoring tools for model performance and error tracking (Sentry, Prometheus, etc.) Soft Skills & Work Habits Strong problem-solving and analytical thinking Ability to work cross-functionally with technical and non-technical teams Clear and concise communication of complex AI concepts Team collaboration and willingness to mentor peers or juniors Agile/Scrum practices using tools like Jira, Trello, and Confluence Bonus Skills (Good to Have) TypeScript or JavaScript for frontend or integration work Knowledge of GraphQL , chatbot development , or multi-modal AI Familiarity with AutoML , RLHF , or explainable AI Experience with knowledge graphs , ontologies , or custom taxonomies Show more Show less

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI/ML solutions across our products and platforms. As a senior member of the team, you will be responsible for solving complex problems using AI technologies, mentoring junior engineers, and collaborating cross-functionally with product, data, and engineering teams to deliver scalable and impactful AI-driven features. Key Responsibilities: Design and develop advanced machine learning models and deep learning architectures for real-world problems. Lead AI/ML system design, including data pipelines, model training workflows, evaluation strategies, and deployment frameworks. Conduct research and experimentation with new algorithms, tools, and technologies to enhance the company's AI capabilities. Collaborate with product managers, data scientists, and software engineers to translate business requirements into AI solutions. Mentor and guide junior AI engineers and data scientists, fostering best practices in coding, experimentation, and model deployment. Optimize and monitor model performance in production, including addressing issues of bias, drift, and latency. Stay current with AI research, tools, and industry trends, and bring innovative ideas into the team. Contribute to technical strategy and help define the roadmap for AI initiatives. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field (Ph.D. preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of production-level projects. Deep knowledge of machine learning and deep learning algorithms (e.g., CNNs, RNNs, Transformers, LLMs). Proficient in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. Strong experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) and cloud platforms (e.g., AWS, GCP, Azure). Experience in deploying and maintaining models in production at scale. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving skills and communication abilities. Show more Show less

We are looking for a Software Engineer-AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles and Responsibilities: Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-end—from research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set: 3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering. Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio). Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel). Experience building and deploying ML models to production environments. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts. Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership. Solid understanding of API development, version control, and modern DevOps/MLOps practices. Show more Show less

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients. Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology. Job Description: Responsibilities : Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core. Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Generative AI Applications and Solutions. Minimum 2 years hands-on experience in working with Large Language Models Solid understanding of Transformer Models and how they work. Reasonable understanding of Diffusion Models and how they work. Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including GPT-4o, Gemini, Claude, Llama, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including Azure OpenAI, AWS Bedrock, and/or GCP Vertex AI. Solid Hands-on Experience working with Enterprise RAG technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning LLM models at scale. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have: Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less