4446 Tensorflow Jobs - Page 3

With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it! We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of AI Senior Engineer In this role you’ll be leveraging Azure’s advanced AI capabilities or AWS Advance Ai capability, including Azure Machine Learning , Azure OpenAI, PrompFlow, Azure Cognitive Search, Azure AI Document Intelligence,AWS Sage Maker, AWS Bedrocks to deliver scalable and efficient solutions. You will also ensure seamless integration into enterprise workflows and operationalize models with robust monitoring and optimization. Responsibilities AI Orchestration - Design and manage AI Orchestration flow using tools such as: Prompt Flow, Or LangChain; Continuously evaluate and refine models to ensure optimal accuracy, latency, and robustness in production. Document AI and Data Extraction, Build AI-driven workflows for extracting structured and unstructured data fromLearning, receipts, reports, and other documents using Azure AI Document Intelligence, and Azure Cognitive Services. RAG Systems - Design and implement retrieval-augmented generation (RAG) systems using vector embeddings and LLMs for intelligent and efficient document retrieval; Optimize RAG workflows for large datasets and low-latency operations. Monitoring and Optimization - Implement advanced monitoring systems using Azure Monitor, Application Insights, and Log Analytics to track model performance and system health; Continuously evaluate and refine models and workflows to meet enterprise-grade SLAs for performance and reliability. Collaboration and Documentation - Collaborate with data engineers, software developers, and DevOps teams to deliver robust and scalable AI-driven solutions; Document best practices, workflows, and troubleshooting guides for knowledge sharing and scalability. Qualifications we seek in you Proven experience with Machine Learning, Azure OpenAI, PrompFlow, Azure Cognitive Search, Azure AI Document Intelligence, AWS Bedrock, SageMaker; Proficiency in building and optimizing RAG systems for document retrieval and comparison. Strong understanding of AI/ML concepts, including natural language processing (NLP), embeddings, model fine-tuning, and evaluation; Experience in applying machine learning algorithms and techniques to solve complex problems in real-world applications; Familiarity with state-of-the-art LLM architectures and their practical implementation in production environments; Expertise in designing and managing Prompt Flow pipelines for task-specific customization of LLM outputs. Hands-on experience in training LLMs and evaluating their performance using appropriate metrics for accuracy, latency, and robustness; Proven ability to iteratively refine models to meet specific business needs and optimize them for production environments. Knowledge of ethical AI practices and responsible AI frameworks. Experience with CI/CD pipelines using Azure DevOps or equivalent tools; Familiarity with containerized environments managed through Docker and Kubernetes. Knowledge of Azure Key Vault, Managed Identities, and Azure Active Directory (AAD) for secure authentication. Experience with PyTorch or TensorFlow. Proven track record of developing and deploying Azure-based AI solutions for large-scale, enterprise-grade environments. Strong analytical and problem-solving skills, with a results-driven approach to building scalable and secure systems. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Show more Show less

Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your Role And Responsibilities In the IBM Chief Information Office, you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organisations. As a Data Scientist within IBM's Chief Information Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimisation of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyse complex datasets and generate actionable insights. Learn and utilise cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Preferred Education Master's Degree Required Technical And Professional Expertise Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience 5+ years of experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment. Successful completion of Coding Assessment Preferred Technical And Professional Experience Data Science specialized Show more Show less

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 : Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. 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. Show more Show less

Role Description Honest AI is seeking a Principal AI Engineer to lead the design, architecture, and deployment of cutting-edge AI systems for enterprise-grade automation solutions. This senior technical leader will: Architect and implement scalable AI/ML solutions, including deep learning and reinforcement learning systems. Drive development of advanced models (transformers, GANs, graph neural networks) using TensorFlow, PyTorch, or similar frameworks. Lead code quality, performance optimization, and technical design reviews. Write robust, production-level code in Python, with performance-critical components in C++ or Java. Collaborate closely with product, engineering, and infrastructure teams to ensure seamless AI integration and scalability. Qualifications 8+ years of experience in AI/ML development with a strong track record of deploying production AI systems. Deep expertise in machine learning, deep learning architectures, and large-scale data processing. Advanced coding skills in Python, with proficiency in TensorFlow, PyTorch, and familiarity with C++ or Java. Strong background in distributed systems, cloud deployment (AWS, GCP, or Azure), and container orchestration (Docker, Kubernetes). Experience designing AI/ML pipelines, MLOps frameworks, and model lifecycle management. Master’s or Ph.D. in Computer Science, AI, Machine Learning, or related field. Strong leadership, communication, and cross-functional collaboration skills. Show more Show less

AI Lead with React Experience (5–7 years) We’re looking for a dynamic AI Lead who brings a strong foundation in full-stack development along with hands-on AI/ML expertise. The ideal candidate will thrive in cross-functional teams and contribute to building scalable, intelligent applications. 💻 Tech Stack 🔹 Frontend: React.js, Next.js, Redux, TypeScript, Tailwind CSS 🔹 Backend: Node.js, Express.js, Python (FastAPI, Flask) 🔹 AI/ML: TensorFlow, PyTorch, OpenAI APIs, Scikit-learn, LangChain 🔹 Data & Databases: PostgreSQL, MongoDB, MySQL, Redis, Pandas, NumPy 🔹 DevOps & Tools: Docker, Kubernetes, GitHub Actions, AWS, GCP, CI/CD pipelines 🔹 Others: REST APIs, GraphQL, WebSockets, Agile/Scrum Note: This role will involve close collaboration with our Delhi office during the initial months, offering great opportunities for cross-site teamwork and alignment. Interested candidates can share their resumes at: teamhr@appfabs.in Show more Show less

Description AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. Key job responsibilities Responsibilities A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About The Team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications 7+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. Preferred Qualifications 7+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - AWS ProServe IN - Karnataka Job ID: A3009199 Show more Show less

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist. The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems. Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectictly and collborattively with the different delivery teams. In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems. Preprocess and analyze large datasets to extract meaningful insights. Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc.) for training and deploying ML models. Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems. Monitor and maintain deployed models to ensure performance and accuracy over time. Research and implement state-of-the-art machine learning techniques and tools. Document processes, experiments, and results for reproducibility and knowledge sharing. Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for supervision domain. E.g. Anomaly detection, Global Search Engine, ChatBot, specialized/customized models Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements To be successful in this role, you should meet the following requirements: Minimum 7 years of software development experience. 2+ years of relevant experience in ML technologies mentioned below. Excellent problem-solving and communication skills. Strong experience in Python (3.x). Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes. Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets. Excellent knowledge and demonstrable experience in using open source NLP packages such as NLTK, Word2Vec, SpaCy. Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures. Excellent interpersonal, presentation and analytical skills. What additional skills will be good to have? Familiarity with MLOps practices for model deployment and monitoring. Experience working in investment banking domain with exposure trade life cycle, front office controls supervision. Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India Show more Show less

Company: Indian / Global Engineering & Manufacturing Organization Key Skills: Machine Learning, ML, AI Artificial intelligence, Artificial Intelligence, Tensorflow, Python, Pytorch. Roles and Responsibilities: Design, build, and rigorously optimize the complete stack necessary for large-scale model training, fine-tuning, and inference--including dataloading, distributed training, and model deployment--to maximize Model Flop Utilization (MFU) on compute clusters. Collaborate closely with research scientists to translate state-of-the-art models and algorithms into production-grade, high-performance code and scalable infrastructure. Implement, integrate, and test advancements from recent research publications and open-source contributions into enterprise-grade systems. Profile training workflows to identify and resolve bottlenecks across all layers of the training stack--from input pipelines to inference--enhancing speed and resource efficiency. Contribute to evaluations and selections of hardware, software, and cloud platforms defining the future of the AI infrastructure stack. Use MLOps tools (e.g., MLflow, Weights & Biases) to establish best practices across the entire AI model lifecycle, including development, validation, deployment, and monitoring. Maintain extensive documentation of infrastructure architecture, pipelines, and training processes to ensure reproducibility and smooth knowledge transfer. Continuously research and implement improvements in large-scale training strategies and data engineering workflows to keep the organization at the cutting edge. Demonstrate initiative and ownership in developing rapid prototypes and production-scale systems for AI applications in the energy sector. Experience Requirement: 5-9 years of experience building and optimizing large-scale machine learning infrastructure, including distributed training and data pipelines. Proven hands-on expertise with deep learning frameworks such as PyTorch, JAX, or PyTorch Lightning in multi-node GPU environments. Experience in scaling models trained on large datasets across distributed computing systems. Familiarity with writing and optimizing CUDA, Triton, or CUTLASS kernels for performance enhancement is preferred. Hands-on experience with AI/ML lifecycle management using MLOps frameworks and performance profiling tools. Demonstrated collaboration with AI researchers and data scientists to integrate models into production environments. Track record of open-source contributions in AI infrastructure or data engineering is a significant plus. Education: M.E., B.Tech M.Tech (Dual), BCA, B.E., B.Tech, M. Tech, MCA. Show more Show less

Company: Indian / Global Engineering & Manufacturing Organization Key Skills: Machine Learning, AI Artificial intelligence, Artificial Intelligence, Python, Pytorch. Roles and Responsibilities: Develop, fine-tune, and deploy AI/ML models using frameworks such as TensorFlow, PyTorch, and Scikit-learn. Design and implement data pipelines, perform feature engineering, and handle data preprocessing for training and inference. Integrate AI models into business applications and APIs, ensuring scalability and performance. Collaborate with MLOps teams to deploy solutions on cloud platforms like AWS, Azure, or Google Cloud using CI/CD pipelines, Docker, and Kubernetes. Conduct model evaluation, hyperparameter tuning, and implement strategies for continuous performance improvement. Apply AI techniques to solve real-world problems in domains such as NLP, computer vision, or reinforcement learning. Work closely with cross-functional teams including data scientists, software engineers, and business stakeholders to deliver end-to-end AI solutions. Communicate complex technical concepts and model behavior clearly to non-technical stakeholders. Experience Requirement: 3-5 years of experience in building and deploying AI/ML models into production environments. Experience in setting up and managing CI/CD pipelines for model deployment. Proven ability in optimizing underperforming models through data analysis, feature selection, and algorithm tuning. Demonstrated collaboration on cross-functional projects to embed AI in real-world business applications. Strong background in model lifecycle management and production-grade AI system development. Education: M.E., MCA, BCA, B.E., B.Tech. Show more Show less

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Work collaboratively with Data Analyst, Data Scientists Software Engineers and cross-functional partners to design and deploy data pipelines to deliver analytical solution. Responsible for building data pipelines, data model, data marts, data warehouse including OLAP cube in multidimensional data model with proficiency / conceptual understanding of PySpark and SQL scripting. Responsible for the design, development, testing, implementation and support functional semantic data marts using various modeling techniques from underlying data stores/data warehouse and facilitate Business Intelligence Data Solutions Experience in building reports, dashboards, scorecards & visualization using Tableau/ Power BI and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. Responsible for AI/ML model Utilizing machine learning, statistical methods, data mining, forecasting and predictive modeling techniques. Following Dev Ops Model, Agile implementation, CICD method of deployment & JIRA creation / management for projects. Define and build technical/data documentation and experience with code version control systems (for e.g., git). Assist owner with periodic evaluation of next generation & modernization of platform. Exhibit Leadership Principles such as Accountability & Ownership of High Standards: Given the criticality & sensitivity of data . Customer Focus : Going Above & Beyond in finding innovative solution and product to best serve the business needs and there-by Visa. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications • Bachelors degree or •0.6-1.6 years of work experience with a Bachelor’s Degree or Master's Degree in computer / information science with relevant work experience in IT industry •Enthusiastic, energetic and self-learning candidates with loads of curiosity and flexibility. •Proven hands-on capability in the development of data pipelines and data engineering. •Experience in creating data-driven business solutions and solving data problems using technologies such as Hadoop, Hive, and Spark. •Ability to program in one or more scripting languages such as Python and one or more programming languages such as Java or Scala. •Familiarity with AI-centric libraries like TensorFlow, PyTorch, and Keras. •Familiarity with machine learning algorithms and statistical models is beneficial. •Critical ability to interpret complex data and provide actionable insights. This encompasses statistical analysis, predictive modeling, and data visualization. •Extended experience in Agile Release Management practices, governance, and planning. •Strong leadership skills with demonstrated ability to lead global, cross-functional teams. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Show more Show less

Role: AI/ML Engineer Relevant experience: 3+ years Location: Bangalore/Mysore/Coimbatore Work mode: From office 5 days a week Job Summary: We are looking for an innovative AI/ML Engineer to join our team and work on cutting-edge machine learning and artificial intelligence projects. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models, along with a strong foundation in data science, programming, and algorithms. You will help drive the development of intelligent systems that leverage machine learning to solve real-world problems and improve business outcomes. Key Responsibilities: Data Preparation and Analysis: Ability to understand large datasets, preprocess them, and extract features Data Preprocessing Techniques: Knowledge of normalization, feature encoding, and handling missing values Data Cleaning: Identifying and rectifying errors, outliers, and missing values within datasets Design, develop, and implement machine learning & Deep Learning (FNN, CNN, RNN) models, with a focus on LLMs, generative AI, and fraud detection systems. Deploy and maintain ML models in AWS or any other cloud environments. Optimize model performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing applications. Develop and maintain APIs (RESTful) for AI model integration. Implement MLOps best practices to streamline the ML lifecycle. Stay up-to-date with the latest advancements in AI/ML and incorporate new techniques into our workflow. Develop and implement fraud detection models to identify and prevent fraudulent activities. Evaluate model performance using appropriate metrics and techniques, ensuring high accuracy and reliability. Experience with Machine Learning Libraries and Frameworks: Familiarity with tools like TensorFlow, PyTorch, and scikit-learn, Keras Show more Show less

Location : Bengaluru / Delhi Reports To : Chief Revenue Officer Position Overview: We are looking for a highly motivated Pre-Sales Specialist to join our team at Neysa, a rapidly growing AI Cloud Platform company that's making waves in the industry. The role is a customer-facing technical position that will work closely with sales teams to understand client requirements, design tailored solutions and drive technical engagements. You will be responsible for presenting complex technology solutions to customers, creating compelling demonstrations, and assisting in the successful conversion of sales opportunities. Key Responsibilities: Solution Design & Customization : Work closely with customers to understand their business challenges and technical requirements. Design and propose customized solutions leveraging Cloud, Network, AI, and Machine Learning technologies that best fit their needs. Sales Support & Enablement : Collaborate with the sales team to provide technical support during the sales process, including delivering presentations, conducting technical demonstrations, and assisting in the development of proposals and RFP responses. Customer Engagement : Engage with prospects and customers throughout the sales cycle, providing technical expertise and acting as the technical liaison between the customer and the company. Conduct deep-dive discussions and workshops to uncover technical requirements and offer viable solutions. Proof of Concept (PoC) : Lead the technical aspects of PoC engagements, demonstrating the capabilities and benefits of the proposed solutions. Collaborate with the customer to validate the solution, ensuring it aligns with their expectations. Product Demos & Presentations : Deliver compelling product demos and presentations tailored to the customer’s business and technical needs, helping organizations unlock innovation and growth through AI. Simplify complex technical concepts to ensure that both business and technical stakeholders understand the value proposition. Proposal Development & RFPs : Assist in crafting technical proposals, responding to RFPs (Request for Proposals), and providing technical content that highlights the company’s offerings, differentiators, and technical value. Technical Workshops & Trainings : Facilitate customer workshops and training sessions to enable customers to understand the architecture, functionality, and capabilities of the solutions offered. Collaboration with Product & Engineering Teams : Provide feedback to product management and engineering teams based on customer interactions and market demands. Help shape future product offerings and improvements. Market & Competitive Analysis : Stay up-to-date on industry trends, new technologies, and competitor offerings in AI and Machine Learning, Cloud and Networking, to provide strategic insights to sales and product teams. Documentation & Reporting : Create and maintain technical documentation, including solution designs, architecture diagrams, and deployment plans. Track and report on pre-sales activities, including customer interactions, pipeline status, and PoC results. Key Skills and Qualifications: Experience : Minimum of 8-10 years of experience in a pre-sales or technical sales role, with a focus on AI, Cloud and Networking solutions. Technical Expertise : Solid understanding of Cloud computing, Data Center infrastructure, Networking (SDN, SD-WAN, VPNs), and emerging AI/ML technologies. Experience with architecture design and solutioning across these domains, especially in hybrid cloud and multi-cloud environments. Familiarity with tools such as Kubernetes, Docker, TensorFlow, Apache Hadoop, and machine learning frameworks. Sales Collaboration : Ability to work alongside sales teams, providing the technical expertise needed to close complex deals. Experience in delivering customer-focused presentations and demos. Presentation & Communication Skills : Exceptional ability to articulate technical solutions to both technical and non-technical stakeholders. Strong verbal and written communication skills. Customer-Focused Mindset : Excellent customer service skills with a consultative approach to solving customer problems. Ability to understand business challenges and align technical solutions accordingly. Having the mindset to build rapport with customers and become their trusted advisor. Problem-Solving & Creativity : Strong analytical and problem-solving skills, with the ability to design creative, practical solutions that align with customer needs. Certifications : Degree in Computer Science, Engineering, or a related field Cloud and AI / ML certifications are highly desirable Team Player : Ability to work collaboratively with cross-functional teams including product, engineering, and delivery teams. Preferred Qualifications: Industry Experience : Experience in delivering solutions in industries such as finance, healthcare, or telecommunications is a plus. Technical Expertise in AI/ML : A deeper understanding of AI/ML applications, including natural language processing (NLP), computer vision, predictive analytics, or data science use cases. Experience with DevOps Tools : Familiarity with CI/CD pipelines, infrastructure as code (IaC), and automation tools like Terraform, Ansible, or Jenkins. Show more Show less

Exciting Opportunity for AI /ML Developer Freshers at Cogent Innovation Pvt Ltd Experience •Experience: Fresher only, no prior industry experience required •Academic/Internship/Project work in AI must be showcased Educational & Skill Requirements •Bachelor’s degree in Computer Science, Information Technology, Data Science, AI/ML, or related field •Strong foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning •Hands-on experience in at least one academic or personal project related to AI (e.g., image recognition, NLP chatbot, recommendation systems, etc.) •Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, or Hugging Face •Exposure to data handling using Pandas, NumPy, etc. •Knowledge of LangChain is required Job Type: Full-time Pay: From ₹200,000.00 per year Schedule: Day shift Monday to Friday Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Education: Master's (Preferred) Experience: total work: 1 year (Preferred) Flutter: 1 year (Preferred)

Job Description Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis. Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations. Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling. Train, validate, and fine-tune machine learning models using real-world engineering data. Optimise models for performance, scalability, and robustness in production environments. Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis). Automate repetitive simulation tasks and enable predictive analytics for design optimisation. Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions. Deploy machine learning models into production environments and monitor their performance. Maintain and update models to ensure reliability and continuous improvement. Stay abreast of the latest advancements in machine learning, AI, and CAE technologies. Apply innovative approaches to solve complex engineering problems. Requirements Bachelor’s or Master’s degree in Mechanical Engineering, Computer Science, or a related field Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software Strong programming skills in Python, R, or Java Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and statistical analysis Solid understanding of mathematics, statistics, and problem-solving skills Excellent analytical thinking and ability to tackle complex engineering challenges Strong communication and teamwork skills to collaborate across disciplines Preferred: Experience with physics-informed machine learning and digital twin technologies Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design Benefits Challenging job and a chance to team up with a young and dynamic professional group Chance to build yourself as WE grow. Remuneration that stays competitive and attractive to retain the best. Opportunity to join an organization experiencing year on year growth check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Lead AI/ML & 3D Systems Engineer (CTO-Track) Location: Remote / Hybrid Experience: 3–5 years (not prior CTO) Type: Full-time | Co-founder Track | Equity Only (Pre-Funding) About the Role We're building the future of immersive fashion. At Sixth Dimension Labs , we're leveraging AI, AR/VR, and 3D technology to transform how people shop for fashion online. We're looking for a hands-on technologist, not a seasoned CTO, but someone with 3–5 years of experience in AI/ML and 3D engineering who wants to grow into that role. You'll help architect our platform's AI and backend foundations, build real-time avatar and garment simulations, and bring immersive commerce to life. What You'll Do Develop fit prediction and style recommendation models using ML Build and integrate 3D avatars and garment simulations (mesh, drape, rigging) Design backend systems and APIs that support real-time AR/VR interactions Work alongside AR/VR developers and designers to bring IER to life Help structure the data and compute pipeline (biometric, e-commerce, visual) Prepare the platform for scale, security, and SaaS integrations Please contribute to our technical IP and patent filings You Have 3–5 years of experience in AI/ML and backend development Strong hands-on knowledge of Python, TensorFlow, PyTorch , or similar Experience with 3D models , avatars, or simulation (e.g., Unity, Unreal, Blender, WebGL) Familiarity with cloud platforms (AWS/GCP), RESTful APIs, and containerisation A portfolio or GitHub demonstrating applied ML or 3D engineering work Curiosity, initiative, and readiness to co-build from zero What You Get Founding-level equity and title growth Direct impact on a sustainable, future-facing industry Access to high-end fashion partners and an investor network A chance to define the future of immersive commerce Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and training sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI applications. Additional Information: - The candidate should have minimum 7.5 years of experience in Large Language Models. - This position is based in Pune. - A 15 years full time education is required. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in AI and machine learning. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI applications. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Mumbai office. - A 15 years full time education is required. Show more Show less

Company Description Tarsyer Insights is a startup founded in 2021 that uses computer vision to solve problems related to safety and productivity. Our mission is to solve these issues in a efficient manner through the deployment of edge devices that provide detailed answers for manufacturing and retail. Role Description This is an on-site role located in Pune for a Computer Vision developer. As a Computer Vision engineer, you will be responsible for the development and deployment of computer vision models for specific use cases within our solution. You will be part of the team to create, optimize, and evaluate algorithms and models for object detection, classification, segmentation, and tracking tasks. Qualifications - A Bachelor's or Master's program in Computer Science, Computer Engineering, or a related field. While we are not picky about degrees, you should have something unique to show from your academic program (a project, a paper, a product or even an idea) - Strong coding skills in Python and familiarity with at least one machine learning framework (PyTorch or TensorFlow). If you know C++, that is a big bonus - Basic understanding of the methods, concepts, and techniques used in computer vision, such as feature extraction, object detection, segmentation, tracking, and classification. - Experience with OpenCV, image processing, and deep learning architectures. - Ability to work independently, with good problem-solving skills and attention to detail. We value independent workers who can get the job done by themselves - Good communication and interpersonal skills, as you will be collaborating with others as well as the customer We are looking for candidates with 1-3 years of experience. But if you have recently graduated or graduating soon and feel that you fit the bill, then go ahead and apply! Questions? Contact us at careers@tarsyer.com Show more Show less

Job description: Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Mandatory Skills: Google Gen AI . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: 1 Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood 2 Claim Denials Prediction - identifying high-risk claims before submission 3 Payment Amount Prediction - forecasting expected reimbursement amounts 4 Cash Flow Forecasting - predicting revenue timing and patterns 5 Patient-Related Models - enhancing patient financial experience and outcomes 6 Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunities—for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment 1 Cloud Platform: AWS (SageMaker, S3, Redshift, EC2) 2 Development Tools: Jupyter Notebooks, Git, Docker 3 Programming: Python, SQL, R (optional) 4 ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow 5 Data Processing: Spark, Pandas, NumPy 6 Visualization: Matplotlib, Seaborn, Plotly, Tableau Show more Show less

Hi, We are looking for AI TRAINER for Bangalore location. Qualifications: • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 8-10 years of professional experience in the technology industry, with a focus on AI/ML/Gen AI development and deployment. • Proven track record of successfully designing and delivering technical training programs with practical use cases • Deep understanding of AI/Gen AI concepts, algorithms, and tools, including machine learning frameworks (e.g., TensorFlow, PyTorch) and large language models. • Hands-on experience building and deploying AI models, including experience with fine-tuning and adapting pre-trained models. • Experience integrating AI capabilities into existing platforms and workflows, developing AI Agents, benchmarking and finetuning LLMs • Excellent communication, presentation, and interpersonal skills. • Ability to explain complex technical concepts clearly and concisely to both technical and non-technical audiences. • Strong problem-solving and analytical skills. • Experience working in a fast-paced, dynamic environment. Bonus Points: • Experience working with tech companies/startups and having developed AI products. • Certifications in AI/ML. • Contributions to open-source AI projects. Show more Show less

At Rayvector, we are looking for talented AI / ML / Computer vision developers who can create cutting-edge ML solutions. Our ideal candidate will have 2-3 years of experience in Computer vision, strong knowledge of the relevant frameworks, and the analytical skills to solve the problems at hand. Working across many different departments, this role requires a candidate with a proactive attitude and a good team ethic to unify a common vision. Responsibilities Convert the machine learning models into application program interfaces. Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model Build data ingestion and data transformation infrastructure Automate the infrastructure that the data science team uses Perform statistical analysis and tune the results so that the organization can make better-informed decisions Set up and manage AI development and product infrastructure. Maintain and improve our existing in-house algorithms and models, including continuous evaluation, fine-tuning Optimize algorithm performance across a wide range of development platforms Develop evaluation scripts to process and accurately measure algorithmic and end-to-end performance Qualifications Bachelor's or Masters's degree in Computer Science / Mathematics / Applied Mathematics. Minimum of 2-3 years of industry experience. Key Skills Strong Python programming experience, familiarity with software development best practices, debugging/profiling Experience with OpenCV, PIL, and other image-processing libraries Experience with at least one mainstream deep learning framework such as PyTorch and TensorFlow Familiarity with data science toolkits such as jupyter lab/notebooks, pandas, bash scripting, Linux environment Hands-on experience with different neural network architectures/modules. Experience with CNNs is a plus Excellent problem-solving skills. Good communication skills Show more Show less

We are seeking an experienced AI Architect to drive innovation in AI/ML solutions within the AI COE. The role focuses on implementing Data Science, traditional AI, advanced AI technologies, including Large Language Models (LLMs), GEN AI, TensorFlow. This position requires working experience in RAG architecture and MLOps, collaborating with cross-functional teams to deliver scalable AI solutions. Note : The base location for this role is Mumbai/ Bengaluru. Key Responsibilities: Share expertise on AI and generative technologies, offering thought leadership for COE Practice. Architect scalable AI systems that seamlessly integrate with current needs. Lead AI model development and implementation, staying abreast of the latest advancements in AI. Conduct code reviews, troubleshoot, and optimize performance for top-notch solutions. Experience in working on RFP/Presales activities, estimations and cloud migration strategies for applications. Collaborate with cross-functional teams to drive innovation and meet project objectives. Stay updated on industry trends and technologies to foster innovation and growth. Requirements: Experience: 12+ years in AI/ML Architecture Technical Skills: Providing technical sales strategies and Data Science & AI application deployments. Proven experience with LLMs, including fine-tuning and deployment Advanced knowledge of RAG architecture and implementation Hands on Experience in Tensorflow and Data science. Should have worked on Classic AI. Strong background in MLOps and model monitoring Experience with distributed computing and GPU optimization Programming: Proficiency in programming languages such as Python, R, or Java, and familiarity with AI libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn Experience with graph databases and vector stores Knowledge of SQL and NoSQL databases Preferred Qualifications: Education: B.Tech/B.E (IT) or higher Show more Show less

Calling AI Engineers! We are a tech firm passionately shaping the future. As we ride the wave of cutting-edge technology, we seek to onboard exceptional Artificial Intelligence Engineers who can match our zeal for innovation and progress. We believe in redefining the impossible, challenging the norm, and continuously evolving in the AI space. If you have the fervour to make a transformative impact, then you're the technologist we're looking for! Your Role: Designing and implementing cutting-edge AI solutions that meet business objectives Training and tuning complex machine learning models Collaborating with cross-functional teams to translate algorithmic ideas into efficient, scalable solutions Ensuring solutions adhere to high standards of reliability, efficiency, and performance Your Skills and Experience: A robust foundation in computer science, with specialisations in AI, machine learning, or related fields Solid experience in deploying AI models in a production setting Proficiency in Python, R, TensorFlow, PyTorch, or similar A clear understanding of data structures and algorithms, along with expertise in predictive modeling, statistics, and deep learning Comfort with agile methodologies, test-driven development, and cloud-based environments 0-3 years of total work experience What We Offer: A vibrant, inclusive environment that promotes open dialogue and collaboration Freedom to experiment, push boundaries, and lead exciting projects Continued learning opportunities The chance to redefine the world as we know it! In a world where change is the only constant, we stand tall as pioneers of the new age. With us, you're not just another engineer. You are a trailblazer, a problem solver, a catalyst of change. Send your application to ai@fulcrumdigital.com (We are proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.) Show more Show less

Technical Expertise : (minimum 2 year relevant experience) ● Solid understanding of Generative AI models and Natural Language Processing (NLP) techniques, including Retrieval-Augmented Generation (RAG) systems, text generation, and embedding models. ● Exposure to Agentic AI concepts, multi-agent systems, and agent development using open-source frameworks like LangGraph and LangChain. ● Hands-on experience with modality-specific encoder models (text, image, audio) for multi-modal AI applications. ● Proficient in model fine-tuning, prompt engineering, using both open-source and proprietary LLMs. ● Experience with model quantization, optimization, and conversion techniques (FP32 to INT8, ONNX, TorchScript) for efficient deployment, including edge devices. ● Deep understanding of inference pipelines, batch processing, and real-time AI deployment on both CPU and GPU. ● Strong MLOps knowledge with experience in version control, reproducible pipelines, continuous training, and model monitoring using tools like MLflow, DVC, and Kubeflow. ● Practical experience with scikit-learn, TensorFlow, and PyTorch for experimentation and production-ready AI solutions. ● Familiarity with data preprocessing, standardization, and knowledge graphs (nice to have). ● Strong analytical mindset with a passion for building robust, scalable AI solutions. ● Skilled in Python, writing clean, modular, and efficient code. ● Proficient in RESTful API development using Flask, FastAPI, etc., with integrated AI/ML inference logic. ● Experience with MySQL, MongoDB, and vector databases like FAISS, Pinecone, or Weaviate for semantic search. ● Exposure to Neo4j and graph databases for relationship-driven insights. ● Hands-on with Docker and containerization to build scalable, reproducible, and portable AI services. ● Up-to-date with the latest in GenAI, LLMs, Agentic AI, and deployment strategies. ● Strong communication and collaboration skills, able to contribute in cross-functional and fast-paced environments. Bonus Skills ● Experience with cloud deployments on AWS, GCP, or Azure, including model deployment and model inferencing. ● Working knowledge of Computer Vision and real-time analytics using OpenCV, YOLO, and similar Show more Show less