1411 Keras Jobs - Page 12

Job Description: Siemens Healthineers has openings for full time Data scientist to support development of AI-based applications for products in Healthcare. The candidate would be working on one of the AI applications within the AI-Rad Companion suite of clinical AI applications. The role of the data scientist is to be a bridge between the research teams developing Medical Imaging related AI algorithms, the engineering teams productizing it, the Regulatory team filing for country regulatory clearances and the clinical customers. Clear understanding of the fundamentals of medical imaging, radiology in particular is essential to perform the role. Understanding of the regulatory clearances and it’s needs for supporting evidence for AI algorithms is necessary as the person facilitates these inputs working closely with the research team and regulatory teams. High level Understanding of the AI and it’s applications in clinical context is essential to bring the information related to performance and reliability metrics. Work closely with the clinical evaluation report writers to provide insights into the AI application. The applicant will join our innovation group in solving exciting and challenging research problems with real-world medical applications that require Data science. Our group develops medical image, text analytics and AI applications supporting clinicians and other medical professionals. We are well recognized for delivering cutting-edge intelligent solutions. Responsibilities: Contribute the development of Artificial Intelligence solutions for medical imaging Support the product development and deployment of research prototypes Support Scientific evaluation, setup and manage algorithm validation pipeline Education: Recently acquired Masters or PhD in Computer Science, Electrical Engineering, Optimization, Mathematics or Statistics. Experience: 4+ Years of experience Skills/Competency: Strong programming ability in both scripting and object-oriented programming languages is required (C/C++, C#, python, R) Working knowledge of deep learning frameworks and libraries like pytorch, caffe, tensor flow and high-level APIs like Keras is preferable but not required Prior exposure to machine learning and related fields is preferable but not required Motivated, self-driven and with a strong ability to learn independently Exhibits strong problem-solving skills Self-directed and actively takes initiative Familiar with DICOM & Medical Raw image formats and it's applications Familiar with Data science tools Strong knowledge of regulatory needs related to medical devices, AI products in healthcare

We are looking to hire a Computer Vision Engineer for our Tech team where you will be responsible for development and optimization of various computer vision algorithms/pipelines for video surveillance. Job responsibilities: 1. Development of object detection, classification, tracking, and counting algorithms 2. Porting of already existing algorithms/pipelines to GPU 3. Optimization of already existing CPU/GPU algorithms/pipelines Required Skills: 1. Proficiency in any programming language, preferably C++ or Python.. 2. Strong understanding of image processing, computer vision algorithms and machine learning. 3. High competency with image processing, computer vision and machine learning libraries such as OpenCV, Keras, OpenVino, Deepstream, Pytorch, Tensorflow. 4. Experience with rapid prototyping with e.g. Python, OpenCV 5. Previous work in video surveillance is a big plus 6. Should work independently as well as with team Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Food provided Health insurance Provident Fund Schedule: Day shift Work Location: In person

Navaera Worldwide is a global, full-service firm that specializes in advanced knowledge management products and services designed to help Financial organizations improve operational efficiency, Manage Risk, Detect Fraud and gain competitive advantage. The privately held company has diverse clients around the world including major corporations in the financial services industry. As a brand, Navaera Worldwide provides complex business products and solutions to small and large organizations through Navaera Global Services. Navaera Worldwide has offices located in three continents with global headquarter based in New York. Other offices are in Toronto, Canada & Baroda, India. Designation: AI/ML (Associate Role) Experience Range: 2 Year to 4 Years Roles and Responsibilities: · Should be able to work in the areas of Data Analytics, Computer vision, NLP, OCR related task. · Data collection, Dataset preparation, Architecture modeling, model training/testing and deployment · Should have experience in handling digital data extraction and processing · Should be able to create training as well testing pipeline with different aspects of data · Must have experience in creating model architecture from scratch as well strong enough to transform pre-trained models · Should be very well equipped with the latest AI trend to keep the process up to date · Identify opportunities for process improvements, recommend system modifications. · Working with minimum of technical supervision and supplemental engineering support, while responding efficiently to multiple program priorities · Working well in a team environment and being able to effectively drive cross-team solutions that have complex dependencies and requirements · Experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering, Artificial Intelligence, Deep learning etc Requisites: · B.E./B.Tech in Computer Science/Statistics/IT/ECE stream - M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent · Ex5perience in C/C++/Java/Python for developing machine learning/deep learning solutions · 2-4 years of experience in data science, machine learning/Deep learning · 2-4 years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms · 2-4 years of hands-on experience with Python and any framework such as TensorFlow, PyTorch or MXnet along with ML libraries such as scikit-learn, NumPy, pandas, Keras etc, and/or natural language processing using NLTK, spaCy, Gensim, etc. · Good communication and interpersonal skills. · Experience in decision science tools and techniques will be added advantage · Strong problem solving and conceptual thinking, with ability to communicate even complex ideas in a succinct manner · Ability to work in a fast-paced and deadline driven environment · Strong work ethics like sense of collaboration and ownership. Job Type: Full-time Pay: ₹40,000.00 - ₹80,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Application Question(s): Total how many years of experience do you have in AI/ML? Are you ready to work from office and relocate to Vadodara Gujarat? What is your notice period in days? What is your current annual CTC? What is your expected annual CTC? Work Location: In person

MERN/MEAN Fullstack Developer (Senior and Junior) Senior Developer : 5+ Years Junior Developer: 2+ Years Work Mode : Remote Apply Now About Firstsource Firstsource Solutions Limited, an RPSanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Position Summary : We are seeking a highly skilled and experience senior developer with a strong background in MEAN/MERN stack (MongoDB, Express.js, React.js, Node.js, Angular) to join our team. The ideal candidate should have 4-6 years of hands-on experience in developing and maintaining applications using MEAN/MERN stack and will play key role in designing, developing and deploying software applications. Responsibilities : Design, develop and maintain large scale software applications using the MEAN/MERN stack. Collaborate with cross-functional teams to define, design, and develop new features. Create and Own High-Level Design, Low Level Design for each of the Software applications. Perform code reviews and provide constructive feedback to team members. Troubleshoot, debug, and optimize existing applications for performance and scalability. Mentor and guide junior developers. Collaborate with product manager and other stakeholders to understand. Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage . Strong proficiency in design, development, maintenance, and support of software applications with proven experience in Java/Python/Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Experience with front-end technologies such as HTML, CSS and JavaScript. Extensive experience in Open-Source Technologies Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Cloud-based (AWS/Azure) deployment of models, performance monitoring and troubleshooting Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Good Experience in Software development lifecycle and processes. Excellent written and oral communication skills Ability to work effectively in a cross-functional team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Why this job matters We are searching for a proficient AI/ML engineer who can help us to extract value from our data. The resource will be responsible for E2E processes including data collection, cleaning & pre-processing, training of the models and deployment in all production and non-production environments. What youll be doing Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies Defining the pre-processing or feature engineering to be done on given data. Defining data augmentation pipelines. Training models and tuning their hyperparameters. analysing the errors of the model and designing strategies to overcome them. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Strong knowledge on model deployment pipeline MLOPS and knowledge of AWS/GCP deployment. Skills Required Proven experience (4 or more years) as a Machine Learning Engineer/ Artificial Intelligence Engineer or similar role. Solving business problems using Machine Learning algorithms, Deep Learning/Neural Network algorithms, Sequential model development, and Time series data modelling. Experience with Computer Vision techniques, Convolutional Neural Networks (CNN), Generative AI, and Large Language Models (LLMs) Experience with deploying models using MLOps pipelines. Proficiency in handling both structured and unstructured data, including SQL, BigQuery, and DataProc. Hands-on experience with API development using frameworks like Flask, Django, and FastAPI. Automating business and functional operations using AIOps. Experience with cloud platforms such as GCP and AWS, and tools like Qlik (Added advantage) Understanding of data structures, data modelling and software architecture. Expertise in visualizing and manipulating big datasets. Deep knowledge of math, probability, statistics and algorithms. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Knowledge in R or Java is a plus. Proficiency in TensorFlow or Keras and OpenCV is a plus. Excellent communication skills. Team player. Outstanding analytical and problem-solving skill. Familiarity with Linux environment. Low to medium familiarity with JIRA, GIT, Nexus, Jenkins etc is a plus. Minimum educational qualification: BE/B.Tech or similar degree in relevant field. The skills youll need Troubleshooting Agile Development Database Design/Development Debugging Programming/Scripting Microservices/Service Oriented Architecture Version Control IT Security Cloud Computing Continuous Integration/Continuous Deployment Automation & Orchestration Software Testing Application Development Algorithm Design Software Development Lifecycle Decision Making Growth Mindset Inclusive Leadership

Job Title: Senior ML Engineer Minimum 4 to 8+ years of experience in ML development in Product Based Company Location: Bangalore (Onsite) Why should you choose us? Rakuten Symphony is a Rakuten Group company, that provides global B2B services for the mobile telco industry and enables next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan’s newest mobile network, we are taking our mobile offering global. To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business – from sales to engineering, support functions to product development. Let’s build the future of mobile telecommunications together! Required Skills and Expertise: Candidate Must have exp. Working in Product Based Company. Should be able to Build, train, and optimize deep learning models with TensorFlow, Keras, PyTorch, and Transformers. Should have exp. In Manipulate and analyse large-scale datasets using Python, Pandas, Numpy, Dask Apply advanced fine-tuning techniques (Full Fine-Tuning, PEFT) and strategies to large language and vision models. Implement and evaluate classical machine learning algorithms using scikit-learn, statsmodels, XGBoost etc. Develop and deploy scalable APIs for ML models using FastAPI. Should have exp. In performing data visualization and exploratory data analysis with Matplotlib, Seaborn, Plotly, and Bokeh. Collaborate with cross-functional teams to deliver end-to-end ML solutions. Deploy machine learning models for diverse business applications over the cloud native and on-premise Hands-on experience with Docker for containerization and Kubernetes for orchestration and scalable deployment of ML models. Familiarity with CI/CD pipelines and best practices for deploying and monitoring ML models in production. Stay current with the latest advancements in machine learning, deep learning, and AI. Our commitment to you: - Rakuten Group’s mission is to contribute to society by creating value through innovation and entrepreneurship. By providing high-quality services that help our users and partners grow, - We aim to advance and enrich society. - To fulfill our role as a Global Innovation Company, we are committed to maximizing both corporate and shareholder value. RAKUTEN SHUGI PRINCIPLES: Our worldwide practices describe specific behaviours that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success. Always improve, always advance . Only be satisfied with complete success - Kaizen. Be passionately professional . Take an uncompromising approach to your work and be determined to be the best. Hypothesize - Practice - Validate - Shikumika. Use the Rakuten Cycle to success in unknown territory. Maximize Customer Satisfaction . The greatest satisfaction for workers in a service industry is to see their customers smile. Speed!! Speed!! Speed!! Always be conscious of time. Take charge, set clear goals, and engage your team.

About Us: We are an innovative and fast-growing company focused on leveraging cutting-edge technology to explore new opportunities in various industries. Our focus is on applying artificial intelligence (AI) and large language models (LLMs) to solve real-world business challenges. Job Description: We are seeking motivated and independent AI & LLM interns to help explore and develop AI-driven solutions. This internship offers the chance to work on AI projects that involve natural language processing (NLP), machine learning, and large language models, providing real-world applications for these technologies. Key Responsibilities: Independently explore and experiment with LLM models to identify potential applications and opportunities. Develop and fine-tune AI models using transformer architectures (e.g., GPT, BERT, etc.). Conduct research on emerging AI and NLP trends to identify new areas for growth. Analyze and interpret data sets to train AI models. Work on building prototype AI solutions for potential business applications. Document findings, processes, and recommendations for future projects. Creating AI agents using available tools in market including ChatGPT & Claude Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong understanding of machine learning algorithms, natural language processing, and deep learning models. Experience with Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with transformer models and their applications. Strong analytical and problem-solving skills. Ability to work independently and manage tasks with minimal supervision. Eagerness to learn and stay updated with emerging AI trends. What We Offer: Hands-on experience working with real-world AI/LLM applications. Opportunities to contribute to innovative AI projects.

Description- Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. We are building a community of top-tier experts and we're opening the doors to an exclusive group of exceptional Data Scientists who are ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process- To ensure high-quality contributions and meaningful engagement, the community follows a structured onboarding process: Screening - Review applicants based on 10+ years of experience, expertise in Python, ML techniques, deep learning frameworks, and end-to-end model deployment Technical Assessment - Evaluate through problem-solving exercises, real-world use case discussions, ML optimization challenges, or code review Interview & Alignment - Conduct a conversation to assess collaboration mindset, innovation potential, and contribution to community goals Ready to Join the Revolution? Become part of Xenon7's Elite Data Science Community, where your skills are respected, your time is valued, and your work creates real-world change. Requirements Who Are We Looking For- Data Scientists are the architects of insight, the minds behind machine learning, the storytellers of numbers. They turn complex datasets into business-driving decisions using statistics, algorithms, machine learning, and engineering to discover hidden patterns, automate systems, and unlock value. At Xenon7, our Data Scientists don't just analyze data- they lead innovation. We're building a handpicked community of impact-driven Data Science professionals who are: 10+ years experienced in Data Science or Machine Learning roles Skilled in Python and tools like NumPy, SciPy, Pandas, XGBoost Experts in ML techniques: regression, classification, clustering Proficient with deep learning frameworks (TensorFlow, Keras, PyTorch) Strong in data pipelines, ETL/ELT processes, and large-scale datasets Experienced in mentoring or leading data teams Passionate about solving real business challenges through data Preferred (but not mandatory): A PhD in a relevant field will be an added advantage Benefits Why You Should Join Us- We're building a trust-based, expert-driven collective where we bring the projects and you bring the expertise. No spam, no endless listings. Just curated, high-impact projects that match your skillset and ambition We understand the value of your time, expertise, and independence. You're a strategic partner in solving real business challenges Work with leading healthcare enterprises, innovative startups, and digital disruptors. We connect you to projects where your contribution truly matters Get paid in USD, with clear, timely, and reliable payment structures, so you focus on delivering impact, not chasing invoices Pick the projects that align with your interests and availability. No long-term lock-ins, no pressure, you work when and how it suits you Join global teams and collaborate remotely with the best minds across industries, all from the comfort of your chosen workspace Engage with a community of top-tier professionals. Exchange knowledge, share ideas, and grow with every collaboration

Navaera Worldwide is a global, full-service firm that specializes in advanced knowledge management products and services designed to help Financial organizations improve operational efficiency, Manage Risk, Detect Fraud and gain competitive advantage. The privately held company has diverse clients around the world including major corporations in the financial services industry. As a brand, Navaera Worldwide provides complex business products and solutions to small and large organizations through Navaera Global Services. Navaera Worldwide has offices located in three continents with global headquarter based in New York. Other offices are in Toronto, Canada & Baroda, India. Designation: AI/ML (Associate Role) Experience Range: 2 Year to 4 Years Roles and Responsibilities: · Should be able to work in the areas of Data Analytics, Computer vision, NLP, OCR related task. · Data collection, Dataset preparation, Architecture modeling, model training/testing and deployment · Should have experience in handling digital data extraction and processing · Should be able to create training as well testing pipeline with different aspects of data · Must have experience in creating model architecture from scratch as well strong enough to transform pre-trained models · Should be very well equipped with the latest AI trend to keep the process up to date · Identify opportunities for process improvements, recommend system modifications. · Working with minimum of technical supervision and supplemental engineering support, while responding efficiently to multiple program priorities · Working well in a team environment and being able to effectively drive cross-team solutions that have complex dependencies and requirements · Experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering, Artificial Intelligence, Deep learning etc Requisites: · B.E./B.Tech in Computer Science/Statistics/IT/ECE stream - M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent · Ex5perience in C/C++/Java/Python for developing machine learning/deep learning solutions · 2-4 years of experience in data science, machine learning/Deep learning · 2-4 years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms · 2-4 years of hands-on experience with Python and any framework such as TensorFlow, PyTorch or MXnet along with ML libraries such as scikit-learn, NumPy, pandas, Keras etc, and/or natural language processing using NLTK, spaCy, Gensim, etc. · Good communication and interpersonal skills. · Experience in decision science tools and techniques will be added advantage · Strong problem solving and conceptual thinking, with ability to communicate even complex ideas in a succinct manner · Ability to work in a fast-paced and deadline driven environment · Strong work ethics like sense of collaboration and ownership. Job Type: Full-time Pay: ₹40,000.00 - ₹80,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Application Question(s): Total how many years of experience do you have in AI/ML? Are you ready to work from office and relocate to Vadodara Gujarat? What is your notice period in days? What is your current annual CTC? What is your expected annual CTC? Work Location: In person

Arcitech Turbhe, Maharashtra, India On-site Full-time 2-3 Years experience required Posted 24 days ago About Company Arcitech AI, located in Mumbai's bustling Lower Parel, is a trailblazer in software and IT, specializing in software development, AI, mobile apps, and integrative solutions. Committed to excellence and innovation, Arcitech AI offers incredible growth opportunities for team members. Enjoy unique perks like weekends off and a provident fund. Our vibrant culture is friendly and cooperative, fostering a dynamic work environment that inspires creativity and forward-thinking. Join us to shape the future of technology. A-806, 2nd floor, Trade Link, Kamala Mills, Lower Parel, Mumbai, Maharashtra 400013, India About Us Arcitech.ai is at the forefront of AI-integrated software and platform development. We build scalable, cloud-native applications for education, recruitment, marketplaces and more. Join us to work on cutting-edge projects and help shape the future of AI-driven products. Responsibilities Design, develop and maintain Python applications with a focus on clean, efficient, and well-tested code. Build and consume RESTful or GraphQL APIs following best practices. Containerize microservices using Docker and collaborate on Kubernetes deployments. Implement and monitor background tasks with Celery, including retry strategies and alerting. Integrate third-party services via webhooks (e.g., Stripe, Razorpay). Set up WebSocket consumers using Django Channels to power real-time features. Configure AWS infrastructure as code (EC2, S3, RDS), manage backups and monitoring through CloudWatch. Write unit and integration tests (pytest or unittest) to achieve and maintain 80% coverage. Follow Git branching strategies and contribute to CI/CD pipeline definitions. Participate in daily tech-talks, knowledge-sharing sessions, and code reviews. Required Qualifications Bachelor’s degree in Computer Science or a related field. 2–3 years of professional experience working primarily in Python. Strong proficiency with Python standard library and common packages (e.g., NumPy). Solid experience designing and consuming RESTful/GraphQL APIs. Hands-on experience with Docker and at least one cloud platform (AWS or Azure). Proven track record of writing tests with pytest or unittest frameworks. Familiarity with Git workflows and CI/CD best practices. Excellent problem-solving skills and clear communication. Preferred (But Not Required) Experience with AI/ML frameworks such as TensorFlow, Keras or PyTorch. Prior work with the Django web framework. Understanding of machine learning concepts (neural networks, computer vision, reinforcement learning). Background in data analysis, statistics, or applied mathematics. Exposure to Celery task queues and real-time application patterns. Contributions to open-source Python or AI projects. What We Offer Competitive salary and benefits package. Opportunity to work on innovative AI and web-development initiatives. A collaborative culture that values continuous learning and skill growth.

Job Title: Python Developer – Machine Learning & AI (2–3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2–3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus. Job Type: Full-time Pay: Up to ₹700,000.00 per year Benefits: Health insurance Schedule: Day shift Monday to Friday Ability to commute/relocate: BTM Layout, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn. Exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Experience with deploying ML models using Flask, FastAPI, or Docker. what is your CTC ( in lpa ) What is your Expected CTC ( in lpa ) what is your notice period Location: BTM Layout, Bengaluru, Karnataka (Required) Work Location: In person Application Deadline: 06/07/2025

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

Were Hiring | Data Science Manager Location: Bangalore Experience: 813 Years Must-Have Skills: • Proven experience as a Data Scientist • Strong Python coding skills • Hands-on with libraries: NumPy, Pandas, Scikit-learn, etc. • Exposure to LLMs & Generative AI • Experience in Project & Team Management

Excellent Python programming and debugging skills. (Refer to Pytho JD given below) - Proficiency with SQL, relational databases, & non-relational databases - Passion for API design and software architecture. - Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners - Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch). - Experience unsupervised ML algorithms. - Experience in Timeseries models and Anomaly detection problems. - Experience with modern large language model (Chat GPT/BERT) and applications. - Expertise with performance optimization. - Experience or knowledge in public cloud AWS services - S3, Lambda. - Familiarity with distributed databases, such as Snowflake, Oracle. - Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Managing large machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines. - Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution. - Collaborate with CPU, GPU, and Neural Engine hardware backends to push inference performance and efficiency - Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated models, including large language models - Automate data processing and extraction - Engage with sales team to find opportunities, understand requirements, and translate those requirements into technical solutions. - Develop reusable ML models and assets into production.

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

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role In this role you will play a key role in We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Your Profile Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objective Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

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 : NAMinimum 12 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 generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

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 : NAMinimum 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 into effective solutions that address real-world challenges. 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.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Lead AI initiatives by building expert teams, defining standards, and delivering end-to-end solutions—from data pipelines to production ML. Skilled in Python, MLOps, cloud platforms, and real-time systems. Mail:kowsalya.k@srsinfoway.com

Experience : 4 + years Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote ,New Delhi,Bengaluru,Mumbai Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Our engineers dont just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges this role is for you. Youll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What Youll Do Build and own AI-backed features end to end, from ideation to production including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations from custom masks and color space conversions to geometric warps and contour ops with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague youll help define what good looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs you own your domain What Youll Need 2-3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1-2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables you write clean, tested code and debug edge cases until theyre truly fixed The ability to frame problems from scratch and work without strict handoffs you build from a goal, not a ticket Who You Are Youve built systems not just prototypes You care about both ML results and the systems behavior in production Youre comfortable taking a rough business goal and shaping the technical path to get there Youre energized by product-focused AI work things that users feel and rely on Youve worked in or want to work in a startup-grade environment: messy, fast, and impactful

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred Technical And Professional Experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry Pi, Blender, Computer Vision, OpenCV, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 35 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment

Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility