1810 Keras Jobs - Page 8

Project description We are seeking a skilled AI Agentic Developer in implementing solutions within financial institutions. Responsibilities Build end-to-end Gen AI solutions develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects Lead the integration of LLMs and LangChain into business processes. Utilize Python and other data manipulation languages proficiently to prepare and manipulate data. Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives. Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations. Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies. Skills Must have Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field. At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain. Proficiency in Python and other applicable programming languages. Strong knowledge of machine learning, data mining, and predictive modeling. Excellent understanding of machine learning algorithms, processes, tools, and platforms. Possess strong problem-solving and strategic thinking abilities. Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches Agentic AI / Generative AI solution design and implementation Exceptional communication, documentation and presentation skills and stakeholder management experiences Nice to have Knowledge of Agile

Clarivate is on the lookout for a Sr. Software Engineer ML (machine learning) to join our Patent Service team in Noida . The successful candidate will be responsible focus on supporting machine learning (ML) projects, for deploying, scaling, and maintaining ML models in production environments, working closely with data scientists, ML engineers, and software developers to architect robust infrastructure, implement automation pipelines, and ensure the reliability and scalability of our ML systems. The ideal candidate should be eager to learn, equipped with strong hands-on technical and analytical thinking skills, have a passion for teamwork, and staying updated with the latest technological trends. About You experience, education, skills, and accomplishments Holding a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with strong communication and reasoning abilities is required. Proven experience as a Machine Learning Engineer or similar position Deep knowledge of math, probability, statistics and algorithms Outstanding analytical and problem-solving skills Understanding of data structures, data modeling and software architecture Good understanding of ML concepts and frameworks (e.g., TensorFlow, Keras, PyTorch) Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in Prompt engineering . Expertise in visualizing and manipulating big datasets Working experience for managing ML workload in production Implement and/ or practicing MLOps or LLMOps concepts Additionally, it would be advantageous if you have: Experience in Terraform or similar, and IAC in general. Familiarity with AWS Bedrock. Experience with OCR engines and solutions, e.g. AWS Textract, Google Cloud Vision. Interest in exploring and adopting Data Science methodologies, and AI/ML technologies to optimize project outcomes. Experience working in a CI/CD setup with multiple environments, and with an ability to manage code and deployments towards incrementally faster releases. Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL. What will you be doing in this role? Overall, you will play a pivotal role in driving the success of the development projects and achieving business objectives through innovative and efficient agile software development practices. Designing and developing machine learning systems Implementing appropriate ML algorithms, analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability Running machine learning tests and experiments, perform statistical analysis and fine-tuning using test results, training and retraining systems when necessary Implement monitoring and alerting systems to track the performance and health of ML models in production. Ensure security best practices are followed in the deployment and management of ML systems. Optimize infrastructure for performance, scalability, and cost efficiency. Develop and maintain CI/CD pipelines for automated model training, testing, and deployment. Troubleshoot issues related to infrastructure, deployments, and performance of ML models. Stay up to date with the latest advancements in ML technologies, and evaluate their potential impact on our workflows. About the Team Our team comprises driven professionals who are deeply committed to leveraging technology to make a tangible impact in our field of the patent services area . Joining us, you'll thrive in a multi-region, cross-cultural environment, collaborating on cutting-edge technologies with a strong emphasis on a user-centric approach.

We are looking to hire a Computer Vision Engineer for our Tech team where you will be responsible for development and optimization of various computer vision algorithms/pipelines for video surveillance. Job responsibilities: Development of object detection, classification, tracking, and counting algorithms Porting of already existing algorithms/pipelines to GPU Optimization of already existing cpu/gpu algorithms/pipelines Required Skills: Proficiency in any programming language preferably C++ or Python. Strong understanding of image processing, computer vision algorithms and machine learning High competency with image processing, computer vision and machine learning libraries such as OpenCV, Keras, OpenVino, Deepstream, Pytorch, Tensorflow Experience with rapid prototyping with e.g. Python, OpenCV Previous work in video surveillance is a big plus Should work independently as well as with team Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Food provided Health insurance Provident Fund Ability to commute/relocate: Gurugram, Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Work Location: In person Application Deadline: 30/05/2025

Apply who can available to take interview this week Role-Data Scientist Mandatory skill- anomaly Exp-8 to 10yrs Location-Only Pune Budget- 25lpa to 27lpa  Key Responsibilities: Experience: Candidate must have hands-on experience in the field of Anomaly/Fraud/Outlier Detection and the connected technologies. Advanced Model Development and Implementation: Design and develop sophisticated machine learning models specifically tailored for fraud and anomaly detection using state-of-the-art techniques. Implement Graph Neural Networks (GNNs) using PyTorch Geometric to capture complex relationships and dependencies in graph-structured data. Develop algorithms for Graph Anomaly Detection, focusing on node, edge, and subgraph anomaly identification. Have a know-how of various Graph Neural Network algorithms like GCN, GraphSAGE, GAT, GINE, Graph Message Passing, Hetero Graph Learning etc. Have very good understanding and know how of various NLP techniques and models like BERT, Text Classification, Text Extraction, LLMs and LLM Fine-Tuning etc. Data Analysis and Feature Engineering: o Perform in-depth exploratory data analysis (EDA) to uncover hidden patterns and insights related to fraudulent activities. Engineer features from large-scale datasets, including constructing graph-based features such as node embeddings, edge attributes, and graph metrics. Utilize techniques such as spectral clustering and community detection to enhance feature representation in graph data. Utilize various nlp techniques for data cleaning, visualization, data pre-processing and data preparation o Research and Innovation: Conduct cutting-edge research on emerging methodologies in fraud detection, anomaly detection, and graph-based machine learning. INTERNAL o Experiment with novel architectures and algorithms, such as attention mechanisms in GNNs, to improve detection capabilities. Prototype and evaluate new approaches using rigorous experimental design and statistical validation. Collaboration and Communication: Work closely with other data scientists to ensure seamless integration of models into production environments, optimizing for scalability and performance. Collaborate with software developers to implement efficient data pipelines and real-time processing systems. Technical Skills: Programming and Libraries Proficiency in Python, with extensive experience in libraries such as PyTorch, PyTorch Geometric, TensorFlow, Keras, Transformers and Scikit-learn. Candidate must know how to work with Graph Based Machine Learning and NLP. Experience with graph processing frameworks and lib

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! JOB LEVEL P20 EMPLOYEE ROLE Individual Contributor Job Description The development engineer will be part of a team working on the development of the illustrator product in our creative suite of products. They will be responsible for the development of new features and maintenance of existing features and will be responsible for all phases of development, from early specs and definition to release. They is expected to be hands-on problem solver and well conversant in analysing, architecting and implementing high-quality software. Requirements B.Tech. / M.Tech. in Computer Science from a premiere institute. Should have excellent knowledge in fundamentals of Machine Learning and Artificial Intelligence. Should have hands on experience through ML Lifecycle from EDA to model deployment. Should have hands on experience data analysis tools like Jupyter, and packages like Numpy, Matplotlib etc. Should be hands-on in writing code that is reliable, maintainable, secure, performance optimized, multi-platform and world-ready Familiarity with state-of-art deep learning frameworks, such as Tensorflow, PyTorch, Keras, Caffe, Torch. Strong programming skills in C/C++ and Python. Hands on experience with data synthesis and processing for the purposes of training a model. Relevant work experience in the fields of computer vision and graphics etc. Experience: 2-4 Years in ML Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe! Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Job Title: Data Science Trainer Company: HERE AND NOW Artificial Intelligence Research Institute Location: HERE AND NOW AI, Salem About Us At the HERE AND NOW Artificial Intelligence Research Institute, we are at the forefront of AI innovation. Our mission is to empower the next generation of AI professionals through comprehensive education, innovative AI applications, and groundbreaking research. We are looking for a passionate and experienced Data Science Trainer to join our team and help us achieve our goals. Job Description Title: Data Science Trainer Location: Salem, Tamil Nadu Job Type: Part-Time / Contract Date of Training: 28.07.2025 Experience: Minimum 2 years in Data Science, Machine Learning, or AI domain Industry: IT Training / EdTech / Technical Education About the Role We are hiring a dedicated and skilled Data Science Trainer in Salem to deliver hands-on training in Python for Data Science, Machine Learning, Big Data Analytics, and Deep Learning. If you're passionate about teaching and mentoring aspiring data scientists, this is your chance to contribute to the AI revolution. Responsibilities Deliver interactive classroom or virtual sessions covering: Data Science: Python, Pandas, NumPy, Matplotlib, Statistics, Machine Learning (Supervised & Unsupervised), Model Evaluation, Real-world Projects. Big Data Analytics: Hadoop Ecosystem (HDFS, MapReduce, Hive, Pig, Sqoop, Flume), Apache Spark, Spark SQL, Spark MLlib, NoSQL basics (MongoDB/Cassandra). Deep Learning: Neural Networks, CNN, RNN, LSTM, GANs, using TensorFlow, Keras, and Google Colab. Design and customize curriculum for beginner to intermediate learners. Facilitate real-time mini-projects, assignments, and model-building activities. Evaluate student progress and provide mentorship. Collaborate with academic and placement teams to ensure outcomes align with industry needs. Required Skills Strong understanding of Python and ML libraries (Pandas, Scikit-learn, Matplotlib, Seaborn). Proficiency in Big Data tools: Hadoop, Spark, Hive. Familiarity with Deep Learning frameworks: TensorFlow, Keras. Understanding of statistical concepts and machine learning algorithms. Excellent communication, presentation, and mentoring skills. Willingness to conduct sessions at our Salem center. Preferred Qualifications B.E./B.Tech/MCA/M.Sc in Computer Science, Data Science, or related fields. Training experience in Data Science, Big Data, or AI. Certification in Data Science/Machine Learning/Big Data preferred. Exposure to cloud tools (AWS/GCP) and BI tools (Power BI/Tableau) is a plus. Benefits Competitive salary + performance-based incentives Opportunity to be part of a growing AI research and training community Certificate of contribution for each training batch Job Types: Part-time, Fresher, Contractual / Temporary, Freelance Benefits: Flexible schedule Food provided Paid sick time Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Shift allowance Experience: total work: 2 years (Required) Work Location: In person

Goldman Sachs is seeking an experienced Applied Researcher to join the AI Research team. As an Applied Researcher, you will play a key role in defining, designing, developing, and evaluating language models specifically tailored for financial use cases. Your expertise in Machine Learning (ML) and Natural Language Processing (NLP) will be essential for advancing AI-driven solutions within the financial sector and exploring cutting-edge Language Modelling techniques. In this position, you will collaborate with diverse teams from various divisions on pioneering projects that utilize Large Language Models (LLMs) and other NLP methodologies to analyze and process a wide array of financial documents. As an Applied Researcher, you will tackle the unique challenges associated with applying these techniques in finance and contribute to the ongoing advancement of AI in the financial domain. **Responsibilities:** - Create and deploy scalable NLP-based solutions to support business operations. - Conduct experiments to assess and optimize the efficiency of existing models. - Implement and evaluate state-of-the-art NLP solutions, customizing them to suit financial contexts. - Develop, test, and maintain high-quality, production-ready code. - Demonstrate technical leadership through overseeing cross-team projects. - Clearly articulate ideas and discoveries in both verbal and written forms across various departments. - Represent Goldman Sachs at conferences and in open-source communities. - Collaborate closely with colleagues to enhance production machine-learning systems and applications. **Qualifications:** - Bachelor's, master's, or PhD in Computer Science, Machine Learning, Mathematics, Engineering, or equivalent industry experience. - Ideally, 3 years of AI/ML industry experience for Bachelor's/Master's, 1 year for PhD, with a focus on Language Models and NLP. - Proficiency in Python programming and solid knowledge of data structures, algorithms, and software engineering best practices. - Strong understanding of NLP techniques/algorithms, and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. - Excellent verbal and written communication skills. - Demonstrated curiosity, ownership, and ability to thrive in a collaborative environment. - Previous experience in the finance industry is a plus. Goldman Sachs Engineering Culture: At Goldman Sachs, our Engineers are not just developers; they are enablers of possibilities. We strive to make the seemingly impossible, possible by connecting people and capital with innovative ideas. Our engineering teams tackle the most complex engineering challenges, architect low latency infrastructure solutions, proactively defend against cyber threats, and leverage machine learning in conjunction with financial engineering to transform data into actionable insights. By building new businesses, revolutionizing finance, and embracing a world of opportunities at the pace of markets, we aim to create a lasting impact. Engineering sits at the heart of our business, and our fast-paced environment calls for strategic innovation and immediate, practical solutions. (The Goldman Sachs Group, Inc., 2025. All rights reserved.),

You will need hands-on experience in converting SAS to Python, along with strong mathematics and statistics skills to excel in this role. Additionally, proficiency in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc., is essential. Your ability to comprehend business requirements and derive use cases and solutions from structured/unstructured data will be crucial. Your responsibilities will include converting SAS to Python code, acquiring the necessary skills for building and deploying machine learning models for production, and engaging in feature engineering, exploratory data analysis, pipeline creation, model training, and hyperparameter tuning. You will also be expected to develop and deploy cloud-based applications, such as LLM/GenAI, into production. Proficiency in programming languages like SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras, and expertise in exploratory data analysis, machine learning, deep learning algorithms, model building, hyperparameter tuning, and model performance metrics are required. Knowledge of MLOps, data pipelines, data engineering, statistics, time series modeling, forecasting, image/video analytics, and natural language processing (NLP) will also be advantageous. Experience with ML services from cloud platforms like AWS, GCP, Azure, and Databricks is preferred. Basic knowledge of Databricks and Big Data, including Spark and Hive, is considered an asset. If you are looking to join a dynamic team and work in locations such as Indore, Noida, Gurgaon, Bangalore, or Pune, please share your profiles with details on notice period and compensation.,

You will be responsible for preparing data, developing models, testing them, and deploying them. This includes designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Your role will involve ensuring that algorithms generate accurate user recommendations. Additionally, you will work on turning unstructured data into useful information by auto-tagging images and converting text to speech. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks will be part of your daily tasks. Your responsibilities will also include developing machine learning algorithms to analyze large volumes of historical data for making predictions. You will run tests, perform statistical analysis, and interpret the results, documenting machine learning processes. As a Lead Engineer in ML and Data Engineering, you will oversee the technologies, tools, and techniques used within the team. Collaboration with the team based on business requirements for designing the requirements is essential. You will ensure that development standards, policies, and procedures are adhered to and drive change to implement efficient and effective strategies. Working closely with peers in the business to fully understand the business process and requirements is crucial. Maintenance, debugging, and problem-solving will also be part of your job responsibilities. Ensuring that all software developed within your team meets the business requirements specified and showing flexibility to respond to the changing needs of the business are key aspects of the role. Your technical skills should include 4+ years of experience in Python, API development using Flask/Django, and proficiency in libraries such as Pandas, Numpy, Keras, Scipy, Scikit-learn, PyTorch, Tensor Flow, and Theano. Hands-on experience in Machine Learning (Supervised & Unsupervised) and familiarity with Data Analytics Tools & Libraries are required. Experience in Cloud Data Pipelines and Engineering (Azure/AWS) as well as familiarity with ETL Pipelines/DataBricks/Apache NiFi/Kafka/Talend will be beneficial. Ability to work independently on projects, good written and verbal communication skills, and a Bachelor's Degree in Computer Science/Engineering/BCA/MCA are essential qualifications for this role. Desirable skills include 2+ years of experience in Java.,

Position AI ML Engineer Job Description 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems. Excellent hands-on Coding in Python (mandatory), C/C++ or Java. Experience in developing AI/ML/DL models by using transfer learning or from scratch. Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc. Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi). Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics. Developed/optimized various models in computing domain (Video, Statistics , Audio and others). Demonstrated experience in completing data science projects with or without minimal supervision. Must possess conceptual understanding of various modelling techniques, pros and cons of each technique. Added Advantage Proven record of migrating Al/ML/DL models/algorithms to low level platforms. Familiar with optimizing code for minimal usage of CPU and memory. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type Full time Job Category Engineering Services

Position AI ML Engineer Job Description 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems. Excellent hands-on Coding in Python (mandatory), C/C++ or Java. Experience in developing AI/ML/DL models by using transfer learning or from scratch. Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc. Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi). Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics. Developed/optimized various models in computing domain (Video, Statistics , Audio and others). Demonstrated experience in completing data science projects with or without minimal supervision. Must possess conceptual understanding of various modelling techniques, pros and cons of each technique. Added Advantage Proven record of migrating Al/ML/DL models/algorithms to low level platforms. Familiar with optimizing code for minimal usage of CPU and memory. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type Full time Job Category Engineering Services

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,

You are a dynamic and solution-driven Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions by leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. As a Computer Vision Engineer at our organization, you will play a critical role in the entire lifecycle of our products, from ideation to development, production, and deployment. You will be a part of our internal Computer Vision/Video Analytics team, which specializes in applied research and is central to the perception algorithms deployed across our products. Your responsibilities will include leading and mentoring a team of engineers, collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow, integrating video analytics solutions with existing systems or platforms, executing AI algorithms using various platform-specific frameworks, troubleshooting issues, providing technical support during integration and deployment phases, and researching new technologies and methodologies to enhance video analytics capabilities. To be successful in this role, you should have a minimum of 2 years of experience and hold a qualification in B.E/B.tech/M.E/M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE) or a related field. You must possess good experience in Deep Learning/Computer Vision projects, working exposure with Neural networks, CNN, and experience with deep learning frameworks such as Tensorflow, PyTorch, or Keras. Additionally, having programming skills using Python and C++, exposure to projects like Object Detection/Motion Detection/Face Recognition, and experience optimizing deep learning models for embedded form factors would be advantageous. You should also have a superhuman thirst for learning and be proactive in scouting for ideas and keeping up-to-date with advancements in the field. Join our team of like-minded engineers, applied researchers, and technocrats who share the will, courage, and madness to achieve our mission of designing, developing, and manufacturing world-class technology products for customers worldwide, right from India. If you are an innovative and tech-savvy individual looking for a challenging and rewarding environment, apply now to be part of our incredible journey!,

Job Title: Python / AI-ML Developer Experience Required: 2–5 Years Location: Kolkata Job Type: Full-time Job Summary: We are looking for a passionate and skilled Python / AI-ML Developer with 2–5 years of experience to join our data science and engineering team. The ideal candidate will be responsible for building intelligent solutions, designing machine learning models, and developing scalable Python-based systems. This role offers the opportunity to work on real-world data-driven projects with a focus on innovation and performance. Key Responsibilities: Design, build, and deploy machine learning models and AI-driven solutions. Write clean and efficient Python code for data preprocessing, model training, and evaluation. Work with large datasets to extract insights and create predictive models. Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders. Deploy models into production using REST APIs or cloud services. Monitor and retrain models to ensure accuracy and efficiency over time. Research and experiment with new algorithms and AI techniques Required Skills and Qualifications : 2–5 years of hands-on experience in Python development with a focus on AI/ML. Solid understanding of machine learning algorithms (supervised, unsupervised, deep learning). Experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, or XGBoost. Proficient in data handling using Pandas, NumPy, and data visualization tools like Matplotlib or Seaborn. Experience in training, evaluating, and tuning models using appropriate metrics. Strong foundation in mathematics and statistics (linear algebra, probability, optimization). Familiarity with REST APIs and model deployment strategies. Experience with Git and collaborative development Preferred Qualifications: Bachelor's or master’s degree in computer science, Data Science, AI, Engineering, or a related field. Experience with cloud platforms (AWS, Azure, GCP) and ML Ops tools. Exposure to Natural Language Processing (NLP), Computer Vision, or Recommendation Systems. Knowledge of Big Data tools (Spark, Hadoop) is a plus. Understanding of CI/CD pipelines and containerization using Docker/Kubernetes

3+ years of overall Gen AI/ AI ML development experience. Exposure on Python, Vertex AI, Tensor flow, DocAI, GKE, Cloud Functions, Serverless, Cloud Run, Terraform, Lang chain, Vector DB, One Few Short Learning, Gemini FM, notebooks, NLP, OCR, NER, RAF, LLM. Impeccable analytical and problem-solving skills 4+ years of strong hands-on experience as Python Developer. Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms In-depth knowledge of machine learning frameworks, like Keras or PyTorch Familiarity with data structures, data modeling, and software architecture Excellent time management and organizational skills Desire to learn. Excellent communication and collaboration skills Innovative mind with a passion for continuous learning General knowledge of building machine learning systems Bachelors degree (or equivalent) in computer science, mathematics, or related field

Job Title: Senior Machine Learning Engineer Location: Chennai ,India Experience: 4-7 Years Company: Giggso India Pvt. Ltd. About Giggso Giggso is an award-winning, Michigan-based AI startup, recognized in the Top 50 Michigan Startups of 2023 & 2024. Founded in 2017, we deliver a unified platform for AI agent orchestration, governance, and observability, simplifying complex enterprise workflows. Our solutions extend to model risk management, security, and blockchain enablement, ensuring trustworthy AI across diverse industries. By automating operations and providing real-time monitoring, Giggso drives cost savings and boosts organizational intelligence. We champion responsible AI to help businesses optimize decision-making and enhance customer experiences at scale. Job Summary We are looking for a highly skilled Machine Learning Engineer to join our team and play a key role in product development, leading multiple projects, and mentoring junior members of the Machine Learning and Data Engineering team. The ideal candidate should have a strong background in end-to-end machine learning pipelines, model deployment, monitoring, and optimization. Key Responsibilities Develop, train, deploy, and monitor Machine Learning models for various business use cases. Utilize published/existing models and adapt them to improve efficiencies and meet specific business requirements. Optimize machine learning model training and inference times. Perform continuous monitoring of ML models, detect model variations, and manage retraining/redeployment processes. Handle end-to-end tasks, including data collection, preparation/annotation, validation, and model evaluation. Define and develop ML infrastructure to enhance the efficiency of ML development workflows. Collaborate with Engineers, Data Scientists, Product Managers, and Business Partners to design and implement innovative data-driven solutions. Communicate complex data science concepts effectively to technical and non-technical stakeholders. Required Skills & Qualifications Experience in productizing and deploying Machine Learning solutions. Thorough understanding of the full ML pipeline, from data collection to inference. Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes. Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn. Knowledge or experience in MLOps and ModelOps practices. Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization. Strong problem-solving skills with the ability to analyze, optimize, and scale models. Excellent verbal and written communication skills to collaborate effectively across teams and influence strategic decisions. What We Look For We seek innovative minds who thrive in an agile and fast-paced environment. We value technologists with a passion for ownership and innovation, who can think beyond traditional programming roles. We are looking for individuals with strong technical acumen and effective communication skills, who can drive impactful solutions and contribute to our platform's success. Why Join Us? Work on cutting-edge AI/ML technologies and real-world applications.. Mentorship and leadership opportunities to grow your career. Collaborate with global teams and work on innovative projects. If you are passionate about Machine Learning and want to contribute to a dynamic team driving innovation at scale, we would love to hear from you!

Date 10 Jul 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your data science expertise in a cutting-edge field. Youll work alongside innovative and collaborative teammates. You'll play a key role in shaping Alstoms next-generation data-driven solutions for the mobility industry. Day-to-day, youll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains. Youll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience. Well look to you for: Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts Implementing feature selection/extraction methods to improve ML models and derive interpretable insights Building and optimizing machine learning models, including supervised and unsupervised approaches Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics Collaborating with domain experts to define and meet business requirements Creating reports and explanatory materials to communicate insights effectively Evaluating opportunities from emerging mathematical approaches and data science technologies Applying strong testing and quality assurance practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines Excellent knowledge of Python programming Understanding of modern statistics, including time-series and signal processing, text mining, or image processing Experience with Python data science stack (e.g., pandas, scikit-learn, keras, numpy, tensorflow) Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning) Experience in building and optimizing supervised and unsupervised ML models Experience with database management (SQL, ElasticSearch, etc.) Proficiency in a LINUX environment (shell scripting) [OptionalExperience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining] [OptionalFamiliarity with Git and release management] Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with cutting-edge technologies to revolutionize digital mobility Collaborate with cross-functional teams and supportive colleagues Contribute to innovative projects in the mobility domain Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning programs Progress towards leadership or technical expert roles Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Skill required: Marketing Operations - Marketing Automation & Technology Execution Designation: Marketing Platform Auto Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do We are seeking a talented and motivated AI Developer to join our dynamic team. As an AI Developer, you will be responsible for developing, implementing, and optimizing AI models and algorithms to solve complex business challenges. You will work closely with cross-functional teams to design intelligent solutions that scale and meet the needs of our projects. What are we looking for Develop AI Models:Design and build machine learning, deep learning, and NLP models to automate business processes and enhance decision-making. Data Processing:Collect, clean, and preprocess data to ensure it is ready for training AI models. Model Optimization:Tune and optimize models to improve performance and scalability. Collaborate with Teams:Work closely with data scientists, engineers, and product managers to define and implement AI solutions. AI Research:Stay updated with the latest trends in artificial intelligence and machine learning and apply state-of-the-art techniques in your work. Deploy AI Solutions:Work on integrating AI models into production systems and ensure they work seamlessly. Testing & Validation:Conduct thorough testing of AI models to ensure they are accurate, efficient, and robust. Documentation:Maintain detailed documentation for AI algorithms, processes, and code. Education:Bachelors or masters degree in computer science, Data Science, AI, Machine Learning, or a related field. Experience:Proven experience (2+ years) in developing and deploying AI models. Programming Languages:Proficient in Python, with experience in AI/ML libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, or similar. Backend framework like Django/Flask. Machine Learning:Strong understanding of machine learning algorithms and frameworks. Data Handling:Experience with data manipulation and preprocessing using libraries like Pandas, NumPy, etc. Deep Learning:Familiarity with neural networks, CNNs, RNNs, and other deep learning architectures. Cloud Platforms:Experience with cloud services like AWS, GCP, or Azure for deploying AI models. Database Knowledge:Knowledge of SQL, NoSQL databases, and data storage solutions. Version Control:Proficiency in Git for version control and collaboration. Problem-Solving:Excellent problem-solving and analytical skills. Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shiftsStrong communication skills to explain complex AI concepts to non-technical stakeholders. Ability to work in a fast-paced, collaborative environment. Eagerness to learn and stay updated with new AI technologies and industry trends. Qualification Any Graduation

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and performance of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are effectively integrated and aligned with business objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud computing and AI service integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Machine Learning Good to have skills : HanaMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and pipelines. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to foster professional growth.- Continuously evaluate and improve existing processes and systems to enhance performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for model development.- Knowledge of data preprocessing techniques and data pipeline construction. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and pipelines. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : HanaMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to foster professional growth.- Continuously evaluate and improve existing processes and systems to enhance performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for model development.- Knowledge of data preprocessing techniques and data pipeline construction. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to foster professional growth.- Continuously evaluate and improve existing processes and systems to enhance performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for model development.- Knowledge of data preprocessing techniques and data pipeline construction. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and performance of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are effectively integrated and aligned with business objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud computing and AI service integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education