9814 Tensorflow Jobs - Page 37

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 : Data Science Good to have skills : NAMinimum 3 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 technologies, including deep learning, neural networks, and image processing, while also exploring the integration of generative AI models into your projects. Collaboration with team members and stakeholders will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Strong understanding of machine learning algorithms and their applications.- Experience in developing and deploying AI models in production environments.- Familiarity with programming languages such as Python or R for data analysis and model development. Additional Information:- The candidate should have minimum 3 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Experience: 5+ Years Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems. Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn. Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems. Excellent problem-solving skills, with a creative and analytical mindset. Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels. Experience with AI ethics and responsible AI practices. RESPONSIBILITIES: Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Job Overview: We are looking for an experienced and enthusiastic Python Developer with a strong background in Artificial Intelligence (AI) and Machine Learning (ML) to join our growing team. The ideal candidate will be responsible for developing, deploying, and optimizing intelligent applications and solutions using Python and ML frameworks. Key Responsibilities: Design and develop scalable Python applications involving AI/ML capabilities. Build and deploy machine learning models for classification, prediction, clustering, NLP, etc. Work closely with data scientists and product teams to integrate ML models into production systems. Optimize algorithms for performance and scalability. Maintain and improve existing ML pipelines and data workflows. Write clean, reusable, and well-documented code. Conduct code reviews and provide mentorship to junior developers Requirements Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 3-5 years of hands-on experience in Python programming. Strong understanding of AI/ML concepts and applications. Proficient in libraries and frameworks like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, model training, and evaluation. Knowledge of REST APIs, Flask or FastAPI for model deployment. Familiarity with cloud platforms (AWS/GCP/Azure) and ML Ops tools is a plus. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Good to Have: Experience with Natural Language Processing (NLP). Exposure to deep learning and computer vision projects. Knowledge of containerization tools like Docker and orchestration with Kubernetes. Why Join Us: Opportunity to work on real-world AI/ML projects. Collaborative and innovative work environment. Flexible work culture. Learning and development opportunities Benefits Private Health Insurance Hybrid Work Mode Performance Bonus Paid Time Off

Location Gurugram, India About Us Zelestra (formerly Solarpack) is a multinational company fully focused on multi-technology renewables with a vertically integrated business model focused large-scale renewable projects in rapidly growing markets across Europe, North America, Latin America, Asia, and Africa. Headquartered in Spain, Zelestra has more than 1000 employees worldwide and is backed by EQT, one of three largest funds in the world with $200B in assets. One solution doesn’t fit all, especially in energy. We’re on a journey alongside our clients, assisting them in achieving their decarbonization goals. We are committed to developing tailored-made solutions by analyzing power market challenges and co-creating structured products based on customer insights. One of the top 10 sellers of clean energy to corporates in the world, according to Bloomberg NEF, we are committed to tailored solutions to meet customer needs. At Zelestra we aim to be a solid and solvent company, capable of executing quality and valuable projects for the society and the environment. Therefore, we maintain a firm commitment to contribute directly to the social development of the communities and markets in which we operate, not only through the creation of economic value, but also through the generation of quality employment and through the social projects we promote. In the efforts of supporting business with innovative digital solutions, we want to recruit an experienced and dynamic Engineer. Mission We are looking for a motivated Junior Data Scientist to join our dynamic team, working on developing advanced Asset Performance Management solutions for solar plants and wind farms. The ideal candidate will have hands-on experience in building time-series forecasting models, particularly in the context of renewable energy. You will work closely with our data scientists and engineers to deploy data-driven solutions, focusing on asset performance optimization, cloud tracking using image data, and leveraging large language models (LLM) for innovative solutions. If you’re passionate about data science and sustainability, we’d love to hear from you. Responsibilities Model Development & Analysis: Build, test, and deploy time-series models for solar and wind energy forecasting; develop asset performance models to predict equipment health and maintenance; collaborate with senior scientists to enhance model accuracy. LLM and Image-Based Modelling: Use large language models for asset management solutions; create visualization models from satellite/drone imagery to optimize solar plant performance. Data Visualization & Reporting: Develop clear visualizations and dashboards (using tools like Amazon QuickSight and PowerBI) to communicate insights and track renewable energy asset metrics. Data Management & Collaboration: Handle large IoT datasets from renewable assets stored on cloud platforms (AWS S3, Azure Blob); maintain version control with Git/GitHub. Model Deployment & Monitoring: Work with engineers to deploy models on cloud infrastructure (AWS, Azure); establish monitoring pipelines for ongoing model performance and updates. Job Requirements Experience: 0-2 years as a data scientist or related role, preferably with time-series modeling experience. Practical skills in Python, R, or similar programming languages. Technical Skills: Proficient in building and deploying time-series forecasting models. Experienced with data visualization tools such as Power BI, Tableau, or equivalent. Familiar with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Skilled in Git and version control for collaborative projects. Cloud & Infrastructure: Experience with cloud platforms like AWS and Azure for data storage and processing. Knowledge of cloud data lakes/data warehouses (AWS S3, Azure Blob Storage). Collaboration & Communication: Ability to collaborate effectively with cross-functional teams, including engineers and data scientists. Strong communication skills to translate technical findings into business strategies. What We Offer Career opportunities and professional development in a growing multinational company with a team highly qualified. Flexible compensation. Full working day. Remote work 2 days a week. Zelestra celebrates the diversity of thought and experience that comes from a variety of backgrounds including, among others, gender, age, ethnicity... Our mission is to contribute to a fairer and more equitable society. JR2212

Job Title: AI/ML Validation Engineer Location: Bangalore (Onsite) Experience: 5-8 yrs Requirements: · Strong background in machine learning fundamentals, including deep learning,large language models, and recommender systems. · Strong background in validation, defect and software development life cycle · Strong knowledge on ubuntu / yocto linux · Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime. · Experience in profiling ML workloads · Prior experience in executing validation plans for AI/ML compute stacks such as HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime and TensorFlow/PyTorch integrations. · Prior experience in validating end-to-end AI pipelines, for e.g. model conversion (e.g., PyTorch à ONNX), Inference runtimes (e.g, ONNX Runtime, TensorRT, ROCm/HIP), compilers/toolchains (e.g. TVM, Vitis AI, XDNA, XLA), kernel execution, memory transfer and inference results · Strong background in python programming. · Excellent problem-solving skills and willingness to think outside the box. · Experience with production software quality assurance practices, methodologies, and procedures · Strong ownership of deliverables, Excellent communication skills and experience working with global teams

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 30th July 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 30th July 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Role Overview We’re looking for a Full Stack Developer with strong backend and middleware integration experience who also has decent knowledge of front-end technologies. The ideal candidate is someone who can take ownership of services end-to-end, contribute to system architecture decisions, and work in a fast-paced, AI-driven product environment. Key Responsibilities Design, develop, and maintain scalable backend systems using Node.js, Python (Flask/Django), or Java. Build and integrate RESTful and/or GraphQL APIs to support front-end, mobile, and external client applications. Implement middleware components to support seamless communication across services, including 3rd-party API integration. Contribute to front-end development using React.js, Vue.js, or equivalent technologies. Collaborate with AI/ML engineers to integrate intelligent services into the application layer. Ensure code quality through unit testing, code reviews, and adherence to clean architecture principles. Participate in system design discussions, sprint planning, and DevOps processes. Optimize application performance, database queries, and system architecture for scalability. Requirements Bachelor’s degree in Computer Science, Engineering, or related discipline. 1–3 years of hands-on experience in backend development with Node.js, Python, or Java. Strong experience with API development and middleware integration (e.g., messaging queues, third-party APIs, microservices). Good understanding of databases – both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). Working knowledge of HTML, CSS, JavaScript, and front-end frameworks like React or Angular. Experience with version control systems (Git), and basic CI/CD pipeline knowledge. Understanding of authentication protocols (OAuth2, JWT), session management, and secure API design. Ability to write clean, maintainable code and documentation. Self-driven, curious, and proactive mindset with the ability to work in a startup environment. Preferred Skills (Nice to Have) Experience with cloud platforms (AWS, GCP, Azure). Exposure to containerization and orchestration tools (Docker, Kubernetes). Familiarity with AI/ML models and integration of AI APIs (e.g., OpenAI, Hugging Face, TensorFlow Serving). Experience with scalable architecture (microservices, event-driven architecture). What We Offer Opportunity to work on cutting-edge AI product development. Exposure to a cross-functional tech team including AI engineers and product designers. Flexible working hours and remote-friendly culture. Competitive salary and performance-linked bonuses. A startup environment where innovation and initiative are rewarded. Learning & development budget and potential for equity participation for high performers. Job Type: Full-time Pay: From ₹25,000.00 per month Benefits: Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Education: Bachelor's (Preferred) Experience: Full-stack development: 1 year (Preferred) Work Location: In person Expected Start Date: 19/08/2025

Job requisition ID :: 83444 Date: Jul 27, 2025 Location: Delhi Designation: Deputy Manager Entity: Deloitte Touche Tohmatsu India LLP Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team As a member of the Operation, Industry and domain solutions team you will embark on an exciting and fulfilling journey with a group of intelligent and innovative globally aware individuals. We work in conjuncture with various institutions solving key business problems across a broad-spectrum roles and functions, all set against the backdrop of constant industry change. Your work profile Bachelor’s or advanced degree in computer science or engineering/technology related degree or data-intensive programs such as applied mathematics, economics, physics or statistics Data Scientist (great at Computer Vision and regular AI/ML (tabular data) Professional experience as ML Engineer/Data Scientist: Experience can be in machine learning, deep learning, data modelling, optimization algorithms, network analysis, in professional and production settings for multiple projects. Professional experience of using either PyTorch, Tensorflow, or Keras. Strong proficiency in wrangling datasets through Pandas, Dask or other Python based data science libraries. Strong fundamentals in solving analytical problems with various algorithmic solutions. Demonstrable experience in end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. Good to have: Relevant field experience in the development sector via non- profits or at various levels of Indian governance is a plus. Knowledge of GIS (GeoPandas, Shapely, PyQGIS, Arcpy) is a plus. Working knowledge of SQL is a strong plus How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Job requisition ID :: 83445 Date: Jul 27, 2025 Location: Delhi Designation: Consultant Entity: Deloitte Touche Tohmatsu India LLP Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team As a member of the Operation, Industry and domain solutions team you will embark on an exciting and fulfilling journey with a group of intelligent and innovative globally aware individuals. We work in conjuncture with various institutions solving key business problems across a broad-spectrum roles and functions, all set against the backdrop of constant industry change. Your work profile Bachelor’s or advanced degree in computer science or engineering/technology related degree or data-intensive programs such as applied mathematics, economics, physics or statistics Data Scientist (great at Computer Vision and regular AI/ML (tabular data) Professional experience as ML Engineer/Data Scientist: Experience can be in machine learning, deep learning, data modelling, optimization algorithms, network analysis, in professional and production settings for multiple projects. Professional experience of using either PyTorch, Tensorflow, or Keras. Strong proficiency in wrangling datasets through Pandas, Dask or other Python based data science libraries. Strong fundamentals in solving analytical problems with various algorithmic solutions. Demonstrable experience in end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. Good to have: Relevant field experience in the development sector via non- profits or at various levels of Indian governance is a plus. Knowledge of GIS (GeoPandas, Shapely, PyQGIS, Arcpy) is a plus. Working knowledge of SQL is a strong plus How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

We’re Hiring: AI and AR Experts Location: Boys Town, Mananthwady Company: Komachi Park LLP Are you passionate about building the future using Artificial Intelligence (AI) and Augmented Reality (AR) ? Join Komachi Park LLP. We’re looking for creative and skilled professionals in the fields of AI and AR to join our R&D and product development teams. Open Positions 1. AI Expert / AI Engineer 2. AR Developer / AR Engineer Key Responsibilities AI Expert: Develop and deploy machine learning models (e.g., NLP, computer vision, recommendation engines) Work with datasets, design predictive algorithms, and integrate AI with existing platforms Collaborate with UI/UX and app teams to deliver intelligent features AR Expert: Create immersive AR experiences for mobile, web, or wearable devices Use AR SDKs like ARKit, ARCore, Vuforia, etc. Work closely with the design and 3D teams to integrate real-world scenarios Required Skills AI Expert: Proficiency in Python, TensorFlow, PyTorch, OpenCV, or similar Experience in deploying AI models to production Strong analytical and problem-solving skills AR Expert: Experience with Unity or Unreal Engine Familiarity with 3D modeling tools and rendering Strong grasp of real-time interaction and spatial computing Preferred Qualifications Bachelor's or Master's in Computer Science, Engineering, or related fields 2+ years of relevant experience (Freshers with strong portfolios may also apply) Passion for innovation, collaboration, and continuous learning Why Join Us? Be part of cutting-edge tech projects Contribute to products impacting real businesses Friendly, innovative, and growth-focused work culture How to Apply Send your CV, portfolio (if applicable), and a short note on your experience to 9847294932 Subject: Application for AI/AR Role Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹10,678.65 - ₹40,752.97 per month Work Location: In person Speak with the employer +91 9847294932 Expected Start Date: 04/08/2025

We are a fast-growing technology startup based in Cochin, Kerala, focused on building innovative AI-powered software solutions for the healthcare, retail, and hospitality industries. We’re looking for a passionate AI Developer / Engineer to join our team and help us take our products to the next level. Key Responsibilities: Design, develop, and deploy AI/ML models for real-world applications. Build and optimize NLP, Computer Vision, or Predictive Analytics modules. Preprocess data and build datasets for training and inference. Integrate AI models into production-ready software using Python and REST APIs. Collaborate with software developers, product managers, and domain experts. Required Skills: 2–3 years of experience in AI/ML development. Proficient in Python and frameworks like TensorFlow, PyTorch, Scikit-learn . Experience with NLP, OCR, or Computer Vision projects. Solid understanding of data preprocessing , model training , and evaluation metrics . Ability to work with APIs , Databases (SQL/NoSQL) , and cloud tools. Experience with version control systems (e.g., Git). Preferred Skills (Bonus): Experience with AI in healthcare or OCR for documents/prescriptions . Knowledge of LLMs (e.g., GPT, LLaMA) or Generative AI . Deployment experience using Docker , Kubernetes , or AWS/GCP/Azure . Familiarity with Flutter , Node.js , or full-stack environments. Job Type: Full-time Pay: From ₹24,000.00 per month Work Location: In person Expected Start Date: 19/08/2025

About Jivi Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi. The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures. Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community. Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare. Job Overview As the Director of Data Science and AI, you will spearhead the development of advanced AI solutions, manage a multidisciplinary team of AI engineers and data scientists, and oversee the implementation of machine learning and large language model (LLM) initiatives. You will play a strategic role in shaping our AI roadmap, ensuring the delivery of high-impact models that improve outcomes and operational efficiency of the product. Key Responsibilities AI/ML Product Development: Oversee the design, development, and deployment of machine learning, deep learning, and large language models (LLMs), including multimodal AI systems. Team Management: Build, mentor, and lead a high-performing team of data scientists, AI researchers, and ML engineers. Foster a culture of innovation and technical excellence. R&D and Innovation: Drive applied research in areas like medical imaging, predictive analytics, and clinical decision support. Guide exploration of novel algorithms and AI approaches. Data Strategy & Governance: Ensure best practices in data preprocessing, cleaning, and analysis. Collaborate with data engineering for robust pipelines and scalable infrastructure. Model Evaluation & Ethics: Champion rigorous model validation, monitoring, and explainability. Ensure ethical AI practices, especially in sensitive healthcare applications. Thought Leadership: Stay abreast of AI/ML advancements and represent the company in conferences, publications, and key industry forums. Technical Skills Programming Skills: Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus. Model Expertise: Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models. Multimodal Proficiency: Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches. Algorithmic Understanding: Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. Experience & Qualifications 8+ years of experience in data science, AI/ML, or applied research, with 3+ years in a leadership or managerial role. Proven track record of deploying AI models into production, preferably in healthcare, medical imaging, or life sciences. Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field. PhD preferred. Why Work with Jivi? Make a Global Impact: Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness. Accelerate Your Career: Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales. Lead in a High-Growth Environment: Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting. Collaborate with the Best: Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations. Jivi’s Products: Jivi is available as a mobile app or as an AI assistant on WhatsApp. Job Type: Full-time Work Location: In person Application Deadline: 30/08/2025

Company Description We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Experience: 5+ Years Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems. Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn. Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems. Excellent problem-solving skills, with a creative and analytical mindset. Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels. Experience with AI ethics and responsible AI practices. RESPONSIBILITIES: Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description Nuetech Stack is a leading technology company specializing in IT and telecommunication services. We are dedicated to digital transformation, providing innovative solutions that enhance efficiency, agility, and competitiveness for businesses. Our expert team of engineers, developers, and telecom specialists closely collaborates with clients to design, implement, and maintain solutions tailored to their unique needs. At Nuetech Stack, we are committed to unlocking opportunities and driving success through the power of connectivity and cutting-edge technology. Role Description This is a full-time remote role for a Machine Learning Specialist. The Machine Learning Specialist will be responsible for developing and optimizing machine learning models, conducting data analysis, and applying algorithms to solve complex problems. Daily tasks will include collaborating with cross-functional teams to integrate machine learning solutions, staying updated with advancements in the field, and contributing to the development of innovative digital solutions. Qualifications Expertise in Machine Learning and Deep Learning Strong understanding of Algorithms and Statistics Background in Computer Science Excellent problem-solving skills and ability to work independently and remotely Experience with relevant programming languages and tools (e.g., Python, TensorFlow, PyTorch) Excellent written and verbal communication skills Master's degree or higher in Computer Science, Mathematics, Statistics, or related field

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities include, but not limited to: Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Strong software development skills. Strong verbal and written communication skills. Experience with or desire to learn: Machine learning and other advanced analytical methods Fluency in Python and/or R pySpark and/or SparkR and/or SparklyR Hadoop (Hive, Spark, HBase) Teradata and/or another SQL databases Tensorflow, and/or other statistical software including scripting capability for automating analyses SSIS, ETL Javascript, AngularJS 2.0, Tableau Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus Experience working with Manufacturing Execution Systems (MES) is a plus Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. You will work on cutting-edge machine learning models, natural language processing, computer vision, and AI infrastructure to solve real-world problems and drive innovation across our products and services. Key Responsibilities: Design, develop, and deploy scalable AI/ML models for production environments. Lead end-to-end AI project lifecycles from data collection and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams including data scientists, software engineers, and product managers. Optimize model performance and ensure robustness, fairness, and explainability. Stay current with the latest research and advancements in AI and machine learning. Mentor junior engineers and contribute to building a strong AI engineering culture. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with cloud platforms (AWS, Azure) and MLOps tools. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, RAG, or agentic AI (Crew AI) systems. Familiarity with vector databases, prompt engineering, and AI safety practices. Contributions to open-source AI projects or published research papers. Experience with real-time inference systems and edge AI.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Science Engineer What you will do Let’s do this. Let’s change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. Roles & Responsibilities: Collaborate with data scientists to develop, train, and evaluate machine learning models. Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring. Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment. Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency. Develop and implement monitoring systems to track model performance and identify issues. Conduct A/B testing and experimentation to optimize model performance. Work closely with data scientists, engineers, and product teams to deliver ML solutions. Stay updated with the latest trends and advancements What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years [Job Code’s Discipline and/or Sub-Discipline] Functional Skills: Must-Have Skills: Solid foundation in machine learning algorithms and techniques Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills Good-to-Have Skills: Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing Experience with data engineering and pipeline development Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Redefine the future of customer experiences. One conversation at a time. We're changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you're ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you're in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing Nextiva, a leader in business communications, is seeking a skilled AI Technical Lead to join our AI Agents team within our Data & Intelligence Platform group. In this role, you will develop intelligent, multimodal AI agents (voice and chatbots) as part of Nextiva's next-generation customer experience platform. You will apply expertise in machine learning and software engineering to build AI-driven features that transform how businesses engage with customers. This position offers the opportunity to work at the forefront of generative AI and multimodal interactions, creating scalable AI solutions that blend automation with the human touch to deliver exceptional customer experiences. The Technical Lead is a senior individual contributor who combines deep technical expertise with hands-on execution. They actively write code, take ownership of end-to-end feature delivery, and are involved in architectural and design discussions. They also conduct code reviews, mentor engineers, and collaborate closely with cross-functional teams to deliver scalable, high-quality solutions aligned with the product vision and goals. As a key technical leader within the team, this role offers a strong pathway for professional growth, whether deepening expertise as a highly skilled individual contributor or evolving into engineering management. Key Responsibilities: Design & Develop AI Agents: Design, implement, and refine AI agents for Nextiva's products that understand and respond to customers in multiple formats (e.g., spoken voice, written text). Develop conversational logic and multimodal interaction flows leveraging state-of-the-art natural language processing (NLP) and speech recognition techniques. AI Model Integration: Integrate large language models and other AI/ML components into the Agentic AI Platform to enable capabilities such as question answering, task automation, sentiment analysis, and recommendations. Ensure that AI models and solutions perform effectively in real-world environments and at scale. Full Lifecycle Engineering: Own the end-to-end development lifecycle of AI features. Multimodal Interaction Systems: Build and integrate components for multimodal interactions, including speech-to-text, text-to-speech, and dialog management systems. Performance Optimization: Optimize AI algorithms and agent frameworks for performance, scalability, and reliability. Use data-driven methods to tune model accuracy and response times. Quality, Ethics & Compliance: Implement robust testing (unit, integration, end-to-end) for AI features to ensure reliability and correctness. Incorporate ethical AI practices, ensuring AI agent behavior is unbiased and compliant with privacy and security regulations. Documentation & Mentorship: Document AI agent designs, algorithms, and usage guidelines for future reference. Provide technical guidance and mentorship to junior engineers or new team members as needed. Success in this role will be measured by your ability to deliver AI features that measurably improve customer experiences (e.g., higher self-service resolution rates, faster response times, improved user satisfaction) while maintaining high software quality and ethical AI standards. You will help Nextiva achieve a balanced integration of AI and human interaction, directly contributing to our CX-first vision. Qualifications Education: Bachelor's degree in computer science, Software Engineering, or a related field (required). A Master's degree in AI, Machine Learning, or a related discipline is strongly preferred. Equivalent practical experience in AI/ML development will also be considered. Software Engineering Experience: 8+ years of professional software development experience, including at least 5+ years building AI or machine-learning powered applications. Proven experience developing production-grade software (e.g., backend services, APIs, data pipelines) in a collaborative team environment. AI/ML Expertise: Strong understanding of AI and machine learning fundamentals with hands-on experience in natural language processing (NLP) and/or deep learning. Familiarity with the latest AI advancements (e.g., transformer-based models, conversational AI frameworks) and a history of applying AI models to solve real-world problems. Technical Skills: Proficiency in programming languages commonly used for AI development, such as Python (with ML libraries like TensorFlow or PyTorch) and/or a general-purpose language like Java or C# for scalable systems. Experience with machine learning frameworks and libraries for NLP, speech, or computer vision (e.g., Hugging Face Transformers, OpenAI APIs, spaCy, Kaldi, AWS/GCP/Azure AI services) is expected. Multimodal Interaction Knowledge: Experience with speech and language technologies – for example, integrating speech-to-text (ASR) and text-to-speech (TTS) engines, or building chatbots and voice bots for conversational interfaces. Cloud & Scalability: Familiarity with cloud platforms and deploying AI/ML models at scale (AWS, Google Cloud, or Azure). Experience with microservices architecture and containerization (Docker, Kubernetes) for AI services. Collaboration & Communication: Excellent teamwork and communication skills. Nextiva DNA (Core Competencies) Nextiva's most successful team members share common traits and behaviors: Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success. Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking , and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies. Right Attitude : They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security - Provident Fund & Gratuity Wellness ‍ - Employee Assistance Program and comprehensive wellness initiatives Growth - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what's going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog. #LI-PJ1 #LI-Hybrid

About the Role: We are looking for a skilled and passionate Python Developer with hands-on experience in AI/ML project development to join our growing technology team in Jaipur . You will be working on real-world AI solutions, contributing to end-to-end model development, and integrating intelligent systems into production-level applications. Key Responsibilities: Develop and maintain high-quality, scalable Python code Design, train, and deploy AI/ML models to solve business challenges Work with data scientists to implement algorithms and integrate ML models Optimize model performance and manage deployment pipelines Collaborate with cross-functional teams (Product, Design, DevOps) Ensure clean architecture, proper documentation, and version control Keep up-to-date with the latest developments in AI/ML and Python ecosystem Key Requirements: 3+ years of professional Python development experience Proven experience in AI/ML model development (scikit-learn, TensorFlow, PyTorch, etc.) Strong understanding of data structures, algorithms, and model evaluation techniques Experience with REST APIs, version control (Git), and cloud environments (preferably AWS) Familiarity with data preprocessing, feature engineering, and model lifecycle Solid problem-solving skills and a detail-oriented mindset Nice to Have: Exposure to MLOps practices Experience in Flask or FastAPI Knowledge of Docker/Kubernetes Why Join Us? Work on impactful AI projects that solve real business problems Opportunity to grow in a tech-first and collaborative environment Competitive salary and performance-driven culture A vibrant, on-site work culture in Jaipur Ready to build smart solutions with us? Job Type: Full-time Pay: ₹11,318.49 - ₹72,937.99 per month Experience: Python: 3 years (Required) Location: Jaipur, Rajasthan (Required) Work Location: In person

Job Summary : As an AI Analyst, you will be responsible for analysing complex data sets, developing algorithms, and implementing AI models to solve business problems and improve decision-making processes. You will work closely with cross-functional teams to identify opportunities for AI applications, interpret results, and communicate findings to stakeholders. Key Responsibilities: Data Analysis: Collect, clean, and preprocess large data sets from various sources. Conduct exploratory data analysis to identify trends, patterns, and anomalies. Model Development: Develop, train, and validate machine learning models tailored to specific business needs. Utilize algorithms and statistical techniques to enhance model performance. Collaboration : Work closely with clients team to define AI project objectives and scope. Collaborate on the integration of AI models into existing systems and workflows. Reporting and Visualization: Create dashboards and visualizations to communicate insights derived from data analysis and model results. Present findings and recommendations to non-technical stakeholders in a clear and effective manner. Continuous Improvement: Stay up-to-date with the latest advancements in AI and machine learning technologies. Identify opportunities for process improvements and contribute to the development of best practices. Qualifications: 1. Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is a plus. 2. Experience : 1 to 3 years ( AI work experience in real time projects is mandatory. Intern experience will not be considered) 2. Proven experience in data analysis, statistical modeling, and machine learning. 3. Proficiency in programming languages such as Python and experience with frameworks like TensorFlow 4. Strong understanding of algorithms, data structures, and software engineering principles. 5. Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). 6. Ability to communicate complex technical concepts to non-technical audiences effectively. 7. Strong analytical and problem-solving skills. 8. Familiarity with cloud platforms and exposure to AWS Sage maker is a key requirement. Preferred Skills: 1. Experience with natural language processing (NLP), computer vision, reinforced learning RL. 2. Understanding of ethical considerations in AI and machine learning. 3.Strong understanding of deep learning principles (CNNs, loss functions, optimization) and expertise in computer vision tasks like object detection and image processing. Proficiency in Python programming and relevant deep learning frameworks such as PyTorch or TensorFlow, along with experience in utilizing existing YOLO implementations and adapting them for specific applications Job Type: Full-time Pay: ₹200,000.00 - ₹400,000.00 per year Benefits: Health insurance Work Location: In person

Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Position Overview: We are seeking a highly motivated and detail-oriented AI/ML Engineer to join our talented team. This role is perfect for individuals looking to kickstart their career in AI and Machine Learning, with a strong foundation in Python programming and a good understanding of AI/ML fundamentals. Technical qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Strong proficiency in Python programming language. Good understanding of AI/ML fundamentals, including but not limited to supervised and unsupervised learning, neural networks, and model evaluation techniques. Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience with data manipulation and analysis using libraries like pandas and NumPy. Strong problem-solving skills and attention to detail. Excellent written and verbal communication skills. Added Advantage Previous projects or coursework related to AI/ML is a plus. [Optional] Responsibilities Collaborate with senior engineers to design, implement, and deploy AI/ML models. Write clean, efficient, and maintainable code in Python. Assist in data pre-processing, feature engineering, and model evaluation. Contribute to the development of algorithms and models for data extraction and data analysis Stay updated with the latest advancements in AI/ML technologies and methodologies.

Who We Are Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair’s advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What You’ll do Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. Raise technical standards across the team by promoting best practices in ML system design and development. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have : Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of experience in building large scale machine learning algorithms. 4+ years of experience working in an architect or technical leadership position. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. Ability to partner cross-functionally to own and shape technical roadmaps Intellectual curiosity and a desire to always be learning! Nice to have Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning. About Wayfair Inc. Wayfair is one of the world’s largest online destinations for the home. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at dataprotectionofficer@wayfair.com. If you would rather not have us retain your data please contact us anytime at dataprotectionofficer@wayfair.com.

Job Information Industry Health Care Salary 0 - 3 K Date Opened 07/28/2025 Job Type Full time Work Experience 1-3 years City Bangalore North State/Province Karnataka Country India Zip/Postal Code 560048 Job Description Job Description: AI/ML Engineer Key Responsibilities Design, develop, and deploy deep learning and machine learning models, particularly convolutional neural networks (CNNs) for medical image analysis. Build scalable and efficient training and inference pipelines using frameworks like TensorFlow and PyTorch. Manage and deploy DL/ML solutions using local virtual machines (VMs); experience with cloud platforms like AWS and Azure is a plus. Containerize DL/ML workflows using Docker and implement CI/CD pipelines for model delivery. Optimize models for accuracy and speed; conduct A/B testing and validation with real-world radiology data. Collaborate with radiologists and software teams to integrate AI models into teleradiology platforms. Develop and maintain API integrations, including FastAPI-based services and interoperability with legacy systems. Monitor and maintain deployed models to ensure consistent performance in clinical environments. Requirements Must-Have Skills Proficient in Deep Learning and Machine Learning techniques. Strong experience with TensorFlow and PyTorch. Solid background in image processing and computer vision, especially with CNN architectures. Proficiency with Docker and experience with CI/CD pipelines. Excellent programming skills in Python and experience with relevant ML libraries. Understanding of data pipelines and handling large-scale medical imaging datasets. Nice to Have Experience deploying ML models on cloud platforms such as AWS and Azure. Experience with Kubernetes or orchestration frameworks. Familiarity with MLOps tools and workflows. Experience with distributed training or federated learning. Contributions to healthcare AI research or open-source projects. Education & Experience Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Data Science, or related field. 1+ years of experience building and deploying machine learning solutions in production, preferably in a healthcare or radiology setting. Why Join Us? Opportunity to work on transformative AI applications in healthcare and radiology. Collaborative and mission-driven team environment. Access to advanced medical imaging datasets. Interested can apply to nanda.k@telradsol.com