1702 Keras Jobs - Page 35

At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Manage the development and deployment of AI and machine learning solutions Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors/master degree in computer science, engineering, mathematics, statistics, or a related discipline 12+ years of experience in Software Engineering, Data Science, or Analytics with 8+ years of experience in AI/ML engineering or related fields Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Demonstrated experience in leading and managing AI/ML teams and projects, from ideation to delivery and evaluation Experience with Azure development environments Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficient in Python and one of PySpark or Scala. Familiarity with python tools for data processing Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proficiency in libraries such as Hugging Face and OpenAI API Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and results to technical and non-technical audiences Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism Proeven passion for learning and staying updated with the latest AI/ML trends and research At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #njp

Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Primary Skills Experience working on Cloud platforms, preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures, data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Primary Skills 7+ years of experience in software development, with at least 4+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Secondary Skills Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial.

ob 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.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. As part of the Data Science team you will design and deliver scalable AI applications that drive business transformation. As a Senior Associate you will analyze complex problems, mentor junior team members, and build meaningful client connections while navigating the evolving landscape of AI and machine learning. This role offers the chance to work on innovative technologies, collaborate with cross-functional teams, and contribute to creative solutions that shape the future of the industry. Responsibilities Design and implement scalable AI applications to facilitate business transformation Analyze intricate problems and propose practical solutions Mentor junior team members to enhance their skills and knowledge Establish and nurture meaningful relationships with clients Navigate the dynamic landscape of AI and machine learning Collaborate with cross-functional teams to drive innovative solutions Utilize advanced technologies to improve project outcomes Contribute to the overall strategy of the Data Science team What You Must Have Bachelor's Degree in Computer Science, Engineering, or equivalent technical discipline 4-9 years of experience in Data Science/ML/AI roles Oral and written proficiency in English required What Sets You Apart Proficiency in Python and data science libraries Hands-on experience with Generative AI and prompt engineering Familiarity with cloud platforms like Azure, AWS, GCP Understanding of production-level AI systems and CI/CD Experience with Docker, Kubernetes for ML workloads Knowledge of MLOps tooling and pipelines Demonstrated track record of delivering AI-driven solutions Preferred Knowledge/Skills Please reference About PwC CTIO – AI Engineering PwC’s Commercial Technology and Innovation Office (CTIO) is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The AI Engineering team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next—enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.ill categories for job description details. Role Overview We are seeking a Senior Associate – Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 4 to 9 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI, including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Show more Show less

Greetings from Live Connections !! 😊 🌟 Live Connections Placements Pvt. Ltd. or LiveC as we are popularly known as, is a 26+ year-old search and recruitment organization that specializes in finding and placing professionals across several sectors around the globe. We bring to the table a cumulative recruitment experience built over two decades. 🔗Follow for more https://in.linkedin.com/company/live-connections 🏢 About Client: We are hiring for leading global provider of business process solutions, trusted by some of the world’s top brands in banking, healthcare, telecom, and media. With a strong focus on customer experience, digital transformation, and operational excellence, this organization empowers over 28,000+ employees across multiple countries. If you're looking to grow in a people-first culture that values innovation and integrity, this is the place for you! 🌟 Employment: Full-time 💼 Title : Generative AI Manager 📍 Work Location: Mumbai, Hyderabad, Chennai, Bangalore ✨ Experience: 8-12 years 📅 Mode: Hybrid Must have Skill set : 🌟 Python, Gen AI, LLM Models, Cloud Experience (Azure), SQL, Architectural Experience. Strong proficiency in Python programming. Experience with Generative AI (GenAI) development and integration. Knowledge of TensorFlow, Keras, PyTorch, or Scikit-learn for developing machine learning models. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud 👉 Aᴘᴘʟʏ ɴᴏᴡ ᴏʀ ᴛᴀɢ sᴏᴍᴇᴏɴᴇ ᴡʜᴏ'ᴅ ʙᴇ ᴀɴ ɪᴅᴇᴀʟ ꜰɪᴛ ! share your Latest CV to mailto:prashanth@livecjobs.com ✉ Do share references and Please share our contact with friends/colleagues who are looking out for a change, maybe we can help them in finding one. Wish you All the Best !! 👍 Show more Show less

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

Role - Sr Manager, Generative AI Experience - 8+ years Work Location - Remote Notice Period - Immediate Joiners Mandatory Skills - Generative AI, LLM Modules, Python, SQL Architecture, Azure Cloud Required Skills: Proven experience in implementing contact center solutions. Experience in any one contact center application (Genesys, Five9, Cisco, Avaya, Aws Connect, Twilio etc) Strong troubleshooting skills. Applicant must be able to determine the causes of complex problems Strong proficiency in Python programming. Experience with Generative AI (GenAI) development and integration. Knowledge of TensorFlow, Keras, PyTorch, or Scikit-learn for developing machine learning models. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud Expertise in database design, technical documentation Excellent problem-solving and analytical skills. Strong leadership and team management abilities. Effective communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment. Knowledge of software development best practices and methodologies. Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git. Roles and Responsibilities: Lead the implementation of contact center solutions, ensuring seamless integration and optimal performance. Develop and integrate Generative AI (GenAI) technologies to enhance our product offerings. Write, review, and maintain code modules, ensuring high-quality and efficient code. Collaborate with cross-functional teams to define project requirements, scope, and deliverables. Manage and mentor a team of developers, providing guidance and support to achieve project goals. Stay updated with the latest industry trends and technologies to drive innovation within the team. Ensure compliance with best practices in software development, security, and data privacy. Execute full software development life cycle (SDLC) Troubleshoot and resolve technical issues in a timely manner. Qualifications: Information Technology, or a related field. Minimum of 12+ years of experience in technology management or a similar role. Demonstrated experience in managing technology projects from inception to completion. Applicants can connect with Abhishek for more details Email - abhishek.m@livecjobs.com WhatsApp - 8154808075 Show more Show less

Job Description: Embedded AI Engineer Location: Dwarka Sector 12 Delhi Job Type: Full-Time / Contract / Freelance Job Description: We are seeking a skilled and motivated Embedded AI Engineer to develop and optimize a voice assistant system on resource-constrained devices like the ESP32-S3. You will be responsible for implementing wake word detection, voice activity detection (VAD), and basic speech command recognition using Espressif's ESP-SR framework, I2S microphones, and embedded ML models. And also, they have experience in computer vision-based project through that we can monitor particular object in Realtime using thermal and normal camera. Responsibilities: - Design and implement embedded voice assistant pipelines using ESP-SR, ESP-IDF, or PlatformIO. - Integrate I2S digital microphones (e.g., INMP441, DFPlayer) with ESP32 for real-time audio capture. - Develop wake word detection, VAD, and command recognition using models like WakeNet, MultiNet, or TinyML-based solutions. - - Optimize AI models and inference for ultra-low-power operation. - Manage real-time tasks using FreeRTOS on ESP32 platforms. - Interface with peripherals like SD cards, LEDs, relays, and Wi-Fi/BLE modules. - Debug, profile, and optimize memory and performance on constrained hardware. Required Skills: - Strong proficiency in C/C++ and embedded development for ESP32. - Experience with ESP-IDF, PlatformIO, or Arduino ESP32 core. - Practical knowledge of voice processing algorithms: VAD, wake word, STT. - Experience using or modifying ESP-SR, ESP-Skainet, or custom keyword spotting models. - Familiarity with I2S, DMA, and audio pre-processing (gain control, filtering). - Understanding of FreeRTOS, low-power modes, and real-time audio handling. Preferred/Bonus Skills: - Experience with TinyML, TensorFlow Lite for Microcontrollers, or Edge Impulse. - Knowledge of Python for data preprocessing and model training. - They have knowledge and experience in computer vision (OpenCV, image processing). - They have also knowledge and experience in Deep learning/AI for vision (like CNN, YOLO or Faster-R CNN, pytorch, TensorFlow, keras) - Having Experience on Nvidia Jetson Nano/Orin based device. - Experience with Bluetooth (BLE) or Wi-Fi communication for IoT applications. - Experience in noise reduction (e.g., NSNet), echo cancellation, or ESP-DSP. Qualifications: - Bachelor's or Master's degree in Electronics, Embedded Systems, Computer Engineering, or related field. - 2+ years of experience in embedded firmware or AI on edge devices. Why Join Us? - Work on cutting-edge embedded AI products for consumer and industrial voice control. - Opportunity to shape next-gen low-power voice assistant hardware. - Flexible remote work options and tech ownership. How to Apply: Send your resume, GitHub/portfolio, and any project demos to: Email: hr@gfofireequipments.com Job Type: Full-time Pay: From ₹100,000.00 per month Schedule: Day shift Work Location: In person

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Salary - 30K CTC TO 35K CTC Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities Deliver high-quality lectures on AI, Machine Learning, and Data Science. Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Show more Show less

At GKM IT, we’re not just building tech — we’re building smart, scalable solutions that make a real impact. We’re on the lookout for a curious and driven Data Scientist - Senior I who’s excited about pushing the boundaries of what AI and machine learning can do. If you love working on real-world challenges, experimenting with the latest in generative AI, and mentoring a talented team, this role is for you. Join us to be part of a collaborative environment where your ideas are valued, your code powers innovation, and your work directly contributes to meaningful products. Requirements 3–5 years of relevant experience as a Data Scientist Design and implement machine learning systems for business use cases Conduct applied machine learning research Read and implement research papers, especially in generative AI Mentor junior and mid-level data scientists Write production-grade code using object-oriented programming principles in Python In-depth understanding of statistics and probability Advanced proficiency in Python and object-oriented programming Strong grasp of data structures and algorithms Expertise in machine learning and deep learning libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch Deep understanding of supervised and unsupervised ML algorithms like Logistic/Linear Regression, Gradient Descent, Decision Trees, and SVM Knowledge of building LLM applications using frameworks like LangChain and LlamaIndex is a plus Experience with Transformer architectures and large language models is a plus Benefits We don’t just hire employees—we invest in people. At GKM IT, we’ve designed a benefits experience that’s thoughtful, supportive, and actually useful. Here’s what you can look forward to: Top-Tier Work Setup You’ll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. Flexible Schedules & Remote Support Life isn’t 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. Quarterly Performance Bonuses We don’t believe in waiting a whole year to celebrate your success. Perform well, and you’ll see it in your pay check—quarterly. Learning is Funded Here Conferences, courses, certifications—if it helps you grow, we’ve got your back. We even offer a dedicated educational allowance. Family-First Culture Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work. Celebrations & Gifting, The GKM IT Way Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here. Team Bonding Moments We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. Healthcare That Has You Covered Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional. Extra Rewards for Extra Effort Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded. From incentives to bonuses—you’ll feel appreciated. Show more Show less

Job Description for Data Science facilitator Position Overview: We are searching for a highly skilled and proficient Data Science Facilitator for online upskilling courses in the field of data science. The facilitator will play a pivotal role in delivering comprehensive modules on cutting-edge data science topics, including machine learning, artificial intelligence, deep learning, web development, and more. The ideal candidate should possess a strong grasp of data science principles, technologies, and practical applications, coupled with exceptional communication and instructional abilities. Staying updated with the latest advancements in data science and effectively communicating these concepts to course participants is a fundamental aspect of this role. Responsibilities: Curriculum Development and Delivery: Develop and present engaging training modules that cover advanced data science topics, catering to learners' varying levels of proficiency. Deliver insightful content on subjects such as machine learning algorithms, artificial intelligence frameworks, deep learning architectures, and web development techniques. Technical skills: Programming Language: Python AI & Data analysis Packages/Framework: Numpy, Pandas, Seaborn, Sklearn, TensorFlow & Keras Knowledge of Natural Language Processing /Computer Vision will add an advantage. Customization of Learning Material: Tailor existing course materials or create new content to align with the specific learning requirements and skill levels of diverse participants, spanning from novice learners to experienced data science professionals. Stay Abreast of Industry Trends: Continuously research and monitor the dynamic landscape of data science, including emerging technologies, methodologies, and industry best practices, to ensure that training content remains relevant and up to date. Individualized Mentorship: Provide personalized guidance and support to participants, addressing their inquiries and assisting them in overcoming challenges encountered while mastering data science methodologies. Qualification- 1. M Sc (Computer Science) or 2. MCA (Master in Computer Application) or 3. B Tech or M Tech in Computer Engineering or IT Technical Skills- 1. Programming Language: Python 2. Database: MySQL/Oracle/SQL Server/PostgreSQL SQL (any one) 3. Data Science: Numpy, Pandas, Matplotlib, Seaborn, EDA 4. Machine Learning: Sklearn, ML models for regression, classification, and clustering problems 5. Additional knowledge of the following will be an advantage: Tableau/Power BI Work Experience- 1. Minimum 5 years of teaching experience in relevant domain, however it can be lowered to 3 years for an exceptional candidate. Proven expertise and hands-on experience in data science, particularly in advanced areas like machine learning, artificial intelligence, deep learning, and web development. Exceptional presentation and facilitation skills, with the ability to engage and inspire learners in an online environment. Outstanding verbal and written communication skills, enabling the clear and concise explanation of intricate concepts to diverse audiences. In-depth comprehension of data science principles, tools, techniques, and industry standards. Capability to adapt instructional content based on participants' varying levels of familiarity with data science. Experience in online teaching, curriculum design, and the application of interactive learning tools will be advantageous. Relevant certifications (e.g., Certified Data Scientist, Google TensorFlow Developer, AWS Machine Learning Specialty) would be a plus. Effective problem-solving skills and the ability to address participants' inquiries and obstacles in a constructive manner. High level of professionalism, commitment to maintaining confidentiality, and adherence to ethical standards. Autonomous and collaborative work ethic, proficiently managing time and tasks. Keenness to continually enhance personal knowledge and skills within the evolving realm of data science. You can also email sadafa@regenesys.net Show more Show less

Job Title: AI/ML Engineer Location: Pune, India About the Role: We’re looking for highly analytical, technically strong Artificial Intelligence/Machine Learning Engineers to help build scalable, data-driven systems in the digital marketing space. You'll work alongside a top-tier team on impactful solutions affecting billions of users globally. Experience Required: 3 – 7 years Key Responsibilities: Collaborate across Data Science, Ops, and Engineering to tackle large-scale ML challenges. Build and manage robust ML pipelines (ETL, training, deployment) in real-time environments. Optimize models and infrastructure for performance and scalability. Research and implement best practices in ML systems and lifecycle management. Deploy deep learning models using high-performance computing environments. Integrate ML frameworks into cloud/distributed systems. Required Skills: 2+ years of Python development in a programming-intensive role. 1+ year of hands-on ML experience (e.g., Classification, Clustering, Optimization, Deep Learning). 2+ years working with distributed frameworks (Spark, Hadoop, Kubernetes). 2+ years with ML tools such as TensorFlow, PyTorch, Keras, MLlib. 2+ years experience with cloud platforms (AWS, Azure, GCP). Excellent communication skills. Preferred: Prior experience in AdTech or digital advertising platforms (DSP, Ad Exchange, SSP). Education: M.Tech or Ph.D. in Computer Science, Software Engineering, Mathematics, or a related discipline. Why Apply? Join a fast-moving team working on the forefront of AI in advertising. Build technologies that impact billions of users worldwide. Shape the future of programmatic and performance advertising. Show more Show less

@SynapseIndia We're Hiring #Designation- Sr Software Engineer(PYTHON ) #Eperience: 4+ years #Location: NSEZ, Sector 81, Noida #OnlyImmediateJoiner #WorkFromOffice Interested Candidate , share resume on surbhib@synapseco.com JOB DESCRIPTION We are looking for a highly skilled Senior Python AI/ML Developer to join our team. The ideal candidate will have extensive experience designing, developing, and deploying machine learning models and AI solutions using Python. You will collaborate with data scientists, engineers, and product teams to build scalable, efficient, and innovative AI-driven applications. Roles & Responsibilities Design, develop, and deploy machine learning models and AI algorithms using Python and relevant libraries. Collaborate with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. Optimize and scale machine learning pipelines and systems for production. Perform data pre-processing, feature engineering, and exploratory data analysis. Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Conduct experiments and evaluate model performance using statistical methods. Write clean, maintainable, and well-documented code. Mentor junior developers and participate in code reviews. Stay up-to-date with the latest AI/ML research and technologies. Ensure model deployment is seamless and models are integrated with existing infrastructure. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 5+ years of professional experience in Python programming with a focus on AI/ML. Strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Solid understanding of machine learning algorithms, neural networks, and deep learning. Experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn). Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using Docker, Kubernetes. Familiarity with NLP, Computer Vision, or other AI domains is a plus. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication skills. Interested Candidate , share resume on surbhib@synapseco.com #PythonDevelopment #PythonAIML #PythonDeveloper #AI/ML #CloudPlatform #Pythontools #ImmediateJoiner Show more Show less

Job Title: Data Scientist Experience: 6-10 years Location: Noida Contract duration: 6 months + extendable Responsibility : Model Development: Design and implement ML models to tackle complex business challenges. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. Model Training: Train and fine-tune ML models using various techniques, including deep learning and ensemble methods. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. Deployment: Deploy ML models in production, monitor performance for reliability. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. Research: Stay updated on ML/AI advancements, and contribute to internal knowledge. Documentation: Maintain comprehensive documentation for all ML models and processes. • Qualification - Bachelor's or master’s in computer science, Machine Learning, Data Science, or a related field, and must be experience of 6-10 years. • Desirable Skills: Must Have 1. Experience in time series forecasting, regression Model, Classification Model 2. Python, R, Data analysis 3. Large-scale data handling with Pandas, Numpy, and Matplotlib 4. Version Control: Git or any other 5. ML Framework: Hands-on exp in Tensorflow, Pytorch, Scikit-Learn, Keras 6. Good knowledge on Cloud platform and ( AWS/Azure/ GCP), Docker, Kubernetes 7. Model Selection, evaluation, Deployment, Data collection, and preprocessing, Feature engineering Estimation Good to Have Experience with Big Data and analytics using technologies like Hadoop, Spark, etc. Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks. BFSI and banking domain Show more Show less

AI Engineer Job Overview: The AI Engineer will play a pivotal role in the AI4IT program and AI initiatives driving the integration and implementation of AI solutions within Allianz Technology. This position requires a proactive individual with a passion for AI innovation, capable of bridging the gap between technical AI concepts and practical business applications. The AI Engineer will work closely with AI Ambassadors and other stakeholders to ensure successful AI adoption and utilization across various functions within the Workplace Service area. Key Responsibilities : Implement Retrieval-Augmented Generation (RAG) solutions using pre-trained models within Azure services to solve business challenges and enhance productivity within the Workplace Service area. Collaborate with AI Ambassadors to identify potential AI use cases based on GenAI, Machine Learning frameworks and Natural Language processing and provide technical expertise in their execution. Integrate and manage data from various sources, including but not limited to Postgres as a vector database, to support RAG applications. Utilize APIs to integrate pre-trained models and AI services into existing systems and workflows. Conduct research and stay updated on the latest AI trends, tools, and technologies to continuously improve AI capabilities within the Workplace Service area. Provide technical support and guidance to non-technical team members, simplifying complex AI concepts for broader understanding and adoption. Document AI processes, models, and solutions to ensure transparency and facilitate knowledge sharing across the Workplace Service area. Participate in AI-related training and workshops to upskill employees and promote AI literacy within the Workplace Service area. Q ualifications: Hard Skills: Experience with Azure Cognitive Services and Azure Machine Learning. Familiarity with GenAI frameworks such as langchain, langgraph. Understanding and implementation of Retrieval-Augmented Generation (RAG) using pre-trained models and its optimization. Understanding of chat agents and its capabilities. Proficiency in programming languages such as Python or JavaScript. Understanding of Natural Language processing and chatbot frameworks. Experience in integrating pre-trained models and AI services using APIs. Familiarity with AI frameworks such as TensorFlow, PyTorch, or Keras. Skills in integrating and managing data from various sources, including Postgres as a vector database for RAG. Experience with rapid prototyping and Minimum viable product approach. Familiarity with managing and optimizing cloud infrastructure on Azure. Experience with GitHub for version control and collaboration. Experience with Jenkins for continuous integration and deployment. Understanding of AI ethics and compliance, particularly in relation to the EU AI Act. Soft Skills: Strong problem-solving skills. Excellent communication skills. Collaborative mindset to work in an interdisciplinary team. Ability to work independently and collaboratively in a team environment. Proactive and results-driven mindset. Passion for continuous learning and staying updated on AI trends. Ability to provide technical support and simplify complex AI concepts. Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Join us. Let's care for tomorrow. Show more Show less

Data Science Subject Matter Expert Experience - 8 - 10 Years US EST hours - 8 AM-5 PM Budget - 45LPA Location Lower Parel, Mumbai (Onsite) Job Requirements: 6 to 7 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) Experience Developing Machine Learning / Data Science models, from coding to deployment 2+ years of experience in teaching or training. 3+ Years of Hands-on Hybrid Development experience preferred. Skills Able to train/mentor/coach in coding (mandatory python and SQL, java or C++) Project Management background preferred. Knowledge of the Consulting/Sales structure. Empathy and service attitude Fast-paced Project Management experience Desirable previous international experience (US, Canada, or Europe) Leading consultants to grow and create tangible benefits and assets. Competencies Mentor / Develop / Train consultants Orientation to results Leadership Main responsibilities of the position Collecting data through means such as analyzing business results or by setting up and managing new studies Transferring data into a new format to make it more appropriate for analysis Build tools to automate data collection Compare and analyze provided statistical information to identify patterns, relationships, and problems Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering Prepare detailed reports for management and other departments by analyzing and interpreting data Train assistants and other members of the team how to properly organize findings and read data collected Design computer code using various languages to improve and update software and applications Refer to previous instances and findings to determine the ideal method for gathering data Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering Prepare detailed reports for management and other departments by analyzing and interpreting data Train assistants and other members of the team how to properly organize findings and read data collected Design computer code using various languages to improve and update software and applications Refer to previous instances and findings to determine the ideal method for gathering data Desired Skills (Including but Not Limited to): Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision Python and SQL coding skills are indispensable Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Ability to compile and organize statistical information retrieved and present findings to management Faculty to work toward multiple deadlines simultaneously Strong problem-solving skills with an emphasis on product development. Certification in a Cloud-Based/Machine Learning service desirable Show more Show less

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: AIML Developer Key Skills: Image Analytics & Computer Vision (CV),Machine Learning & Deep Learning Job Locations: Hyderabad Experience: 5 – 10 Years Budget: Based on your Experience Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: Key Focus Areas: · Image Analytics & Computer Vision (CV) · Machine Learning & Deep Learning · Predictive Analytics & Optimization · Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: · Lead and contribute to projects centered around image analytics, computer vision, and visual data processing. · Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. · Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. · Integrate multi-sensor data fusion and multivariate analysis for industrial applications. · Collaborate with cross-functional teams to implement predictive maintenance, fault detection, and process monitoring solutions using visual and sensor data. Mandatory Skills: · Strong hands-on experience in Computer Vision and Image Analytics. · Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. · Solid understanding of machine learning techniques: classification, regression, clustering, anomaly detection, etc. · Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. · Familiarity with Generative AI and LLMs is a plus. Desirable Skills: · Knowledge of optimization techniques and simulation modeling. · Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems. Educational & Professional Background: · Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Chemical preferred). · Master’s in Industrial/Manufacturing/Production Engineering is a strong plus. · Demonstrated experience in solving real-world industrial problems using data-driven approaches. Soft Skills & Attributes: · Strong analytical and problem-solving skills. · Ability to work independently and manage multiple projects. · Excellent communication and stakeholder engagement skills. · Proven thought leadership and innovation in AI/ML applications. Interested Candidates please share your CV to jyothi.a@people-prime.com Show more Show less

Role Summary: Looking for one data scientist engineer with Strong experience in AI/ML, Data collection preprocessing, estimation, Architecture creation Responsibility : Model Development: Design and implement ML models to tackle complex business challenges. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. Deployment: Deploy ML models in production, monitor performance for reliability. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. Research: Stay updated on ML/AI advancements, contribute to internal knowledge. Documentation: Maintain comprehensive documentation for all ML models and processes. • Qualification - Bachelor's or master’s in computer science, Machine Learning, Data Science, or a related field and must be experience of 6-10 years. • Desirable Skills: Must Have 1. Experience in timeseries forecasting, regression Model, Classification Model 2. Python , R, Data analysis 3. Large size data handling with Panda , Numpy and Matplot Lib 4. Version Control: Git or any other 5. ML Framework: Hands on exp in Tensorflow, Pytorch, Scikit-Learn, Keras 6. Good knowledge on Cloud platform and ( AWS/ AZure/ GCP), Docker kubernetis 7. Model Selection, evaluation, Deployment, Data collection and preprocessing, Feature engineering Estimation Good to Have Experience with Big Data and analytics using technologies like Hadoop, Spark, etc. Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks. BFSI and banking domain Base Location: Noida, but flexible to travel, coming to office is mandate twice in a week Show more Show less

Work Location : Hyderabad/ Bangalore Working Hours : 2PM to 11PM IST Mid-Level ML Engineers / Data Scientist Role : (4-5 years of experience ) Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data using Pandas and PySpark Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling. Experience applying various machine learning techniques and understanding the key parameters that affect their performance. Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning). Experience with Python and Python packages like NumPy, Pandas and deep learning frameworks like TensorFlow, Pytorch and Keras Experience in Big Data ecosystem with frameworks like Spark, PySpark , Unstructured DBs like Elasticsearch and MongoDB Proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc. Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL). Previous experience in ML, data scientist or optimization engineer role with a large technology company. Experience in an operational environment developing, fast-prototyping, piloting, and launching analytic products. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. Experience in creating data driven visualizations to describe an end-to-end system. Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research, and business backgrounds. Bachelors or Masters in Artificial Intelligence, Computer Science, Statistics, Applied Math, or a related field. (ref:hirist.tech) Show more Show less

Deliver engaging classroom and/or online training sessions on topics including: Python for Data Science Data Analytics using Excel and SQL Statistics and Probability Machine Learning and Deep Learning Data Visualization using Power BI / Tableau Create and update course materials, projects, assignments, and quizzes. Provide hands-on training and real-world project guidance. Evaluate student performance, provide constructive feedback, and track progress. Stay updated with the latest trends, tools, and technologies in Data Science. Mentor students during capstone projects and industry case studies. Coordinate with the academic and operations team for batch planning and feedback. Assist with the development of new courses and curriculum as needed. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.). Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras. Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn. Strong communication, presentation, and mentoring skills. Prior teaching/training experience is a strong advantage. Certification in Data Science or Machine Learning (preferred but not mandatory). Show more Show less

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 Required education Bachelor's Degree 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

Cambridge Mobile Telematics (CMT) is the world's largest telematics service provider. Its mission is to make the world's roads and drivers safer. The company's AI-driven platform, DriveWell Fusion®, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT's platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day. We are in search of a collaborative, self-motivated MLOps Engineer to develop, maintain, and scale our Machine Learning platforms and infrastructure. You will work closely with our Data Science teams and work towards optimizing our utilization of Databricks, Spark, Ray, and AWS services that support building large-scale machine learning models while ensuring a balance between cost-efficiency and speed. You will empower the data science team by expediting the delivery of new models, enhancing the efficiency of feature engineering, model training, and validation processes. As an MLOps Engineer, you will play a crucial role in developing and managing the Machine Learning platform and infrastructure. You will be empowered to contribute towards the technical designs and process improvements, and will collaborate cross-functionally with data scientists, mobile developers, platform engineers, and QA engineers to foster a collaborative and innovative environment. Responsibilities: Design, develop, and maintain features for machine learning infrastructure and workflows.. Write high-quality, well-documented code and testable code. Implement infrastructure as code using tools like Terraform. Troubleshoot and resolve issues across various systems and platforms. Actively participate in team meetings, including scrums and planning sessions. Conduct and participate in code and design reviews. Provide regular updates on progress and task completion. Maintain and monitor test and production systems for stability, security, and performance. Share knowledge and contribute to internal documentation and onboarding materials.. Assume ownership of assigned tasks and ensure completion. Assist with production issues, including on-call responsibilities. Adhere to CMT's development and operational standards. Complete any additional tasks as they arise Qualifications: Bachelor's degree in Computer Science or related field, or equivalent experience/certification. Conceptual understanding or experience in AI, Machine Learning, or Data Science. Strong communication skills. Proficiency in Python and SQL. Ability to learn quickly and solve complex problems. Willingness to participate in on-call rotations. Competence in general development tasks on Linux and MacOS. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) Nice to Have Professional engineering experience. Experience with platforms like Databricks and AWS services (EC2, S3, Redshift). Experience with deep learning frameworks (TensorFlow, Keras, Torch). Experience with software development processes and scripting languages (Python, Pandas, NumPy, scikit-learn). Experience with Docker, Kubernetes, Terraform, and Jenkins CI/CD pipelines. AWS or Kubernetes Certification. Understanding of Agile methodologies (SCRUM). User-level knowledge of issue tracking systems (Jira). Compensation and Benefits: Fair and competitive salary based on skills and experience Equity may be awarded in the form of Restricted Stock Units (RSUs) Medical Benefits (Health insurance, Personal accident insurance, Group term life insurance), gratuity, parental leave, sick leave, and public holidays Employees are eligible for flexible allowances, which include Leave Travel Assistance, Telephone/Mobile Expenses, Professional development expenses, Meals Coupon, Vehicle Reimbursement Flexible scheduling and work from home policy depending on role and responsibilities Additional Perks: Feel great working to improve road safety around the world! Join one of our many employee resource groups, including Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness Extensive education and employee assistance programs CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all! Commitment to Diversity and Inclusion: At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. "CMT is headquartered in Cambridge, MA. "To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics. Show more Show less

Role –Senior Gen AI Engineer Location - Kochi Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less