254 Ml Algorithms Jobs - Page 9

Ready to shape the future of work? At Genpact, we don't just adapt to change we drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team thats shaping the future, this is your moment Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook. With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it! We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. Were harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, were calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Responsibilities: Experience in Large Language Models (LLMs) with deep dive into Generative AI applications using Python to optimize platform functionalities Good exposure with implementing robust CI/CD automation and orchestration using tools likeAzure DevOps Research and implement appropriate AI/ML algorithms and tools for developing machine learning applications to requirements Design and implementation of the overall web architecture with real time exposure of developing REST APIs Good command for designing and building the entire stack for speed and scalability Good exposure for building models, algorithms, simulations and performance evaluation by writing highly optimized, deployable code using AI-ML technologies Exposure with building solutions for data discovery, data acquisition, data processing cleaning, data integration, data interpretation Define and manage the process of production using machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification, validation, and monitoring of AI/ML models Involve with stakeholders to analyse for solving business problems using Machine learning/ Artificial Intelligence solutions for deployment on a cloud platform Alignment with industry trends, innovations and developments in AI/ML and work with other ML teams to pilot new advances and keep the organisation future-ready Understanding customer pain points, business requirements and developing models that help to achieve them, along with metrics to track their progress Commanding exposure with scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling and data technologies Perfectly collaboration of product, data science, and other stakeholders to translate business needs into powerful technical solutions Requirements Bachelor's degree in Computer science, Engineering, Mathematics, Statistics or a related field Significant good exposure in Python/R with at least 5+ years of experience developing and deploying ML and DL models Familiarity with algorithms both in supervised and un-supervised learning Should have significant command of Generative AI, Microsoft OpenAI platform (Azure OpenAI), GPTs, LLMs concepts and techniques with solid hands-on experience Exposure at implementing CI/CD pipelines to streamline development and deployment Expertise with hands on experience in Vector Databases for semantic search, Advanced RAG approaches for LLM models Very Good experience in Machine Learning, Deep Learning, Computer Vision, NLP with model architecture Expertise in effectively building and deploying ML systems using frameworks such as PyTorch, TensorFlow, Keras, sklearn etc Exposure in modular, typed, and object-oriented Python programming Familiar with the core data science languages (such as Python, R, Scala) and with data systems (e.g.SQL, NoSQL) Excellent communication skills with a desire to work in multidisciplinary teams Expert for analysing the errors of the model and designing strategies to overcome them Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training

MLOps Engineer Must-Have Skills Strong proficiency in Python/PySpark, especially in analytical contexts DevOps and CI/CD expertise with Git proficiency Ability to build and maintain CI/CD pipelines Code refactoring skills and knowledge of software development principles (OOPs, SOLID) Unit testing and exception handling expertise Deep understanding of ML techniques and their applications End-to-end ML lifecycle experience Experience with model deployment and cloud services Model monitoring and drift detection capabilities Knowledge to develop production-ready code implementations Knowledge of unsupervised & unsupervised learning techniques (Regression, Classification, clustering, etc) SQL proficiency Good To Have Skills Experience in the CPG/Retail domain Cloud computing and big data technologies expertise Experience with containerization and deployment of ML models Familiarity with MLOps-specific tools Experience with data visualization and data imputation techniques Background in software development practices and agile methodologies Experience automating model testing and validation processes Soft Skills Strong communication skills to collaborate with data scientists, data engineers, and architects Problem-solving abilities and analytical thinking Attention to detail, especially for audit-ready code Ability to work in cross-functional teams Technical documentation capabilities

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We're looking for an experienced Machine Learning Software Development Engineer to join our Engineering team. Reporting to the Senior Director, Machine Learning Engineering, you'll be responsible for: Leading the identification and resolution of performance issues by developing models that pinpoint root causes of poor experience and detect performance bottlenecks Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points Implementing AI/ML algorithms to detect and forecast anomalies in user performance data across multiple dimensions Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders What We're Looking for (Minimum Qualifications) Must have 3+ years of experience as a Software Engineer or ML platform engineer Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks 7+ years of experience in Python and SQL Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets Experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow What Will Make You Stand Out (Preferred Qualifications) Network troubleshooting using tools like traceroute and understanding of various protocols such as HTTP, TCP, ICMP is highly advantageous Familiarity with Generative AI and NLP techniques Familiarity with networking and systems observability #LI-AN4 #LI-Hybrid At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems. Skills: • Proficient: Languages/Framework: Fast API, Azure UI Search API (React) o Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks o Proficiency in Python and R o Cloud: Azure Cloud Basics (Azure DevOps) o Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment o Data Science: Prompt Engineering + Modern Testing o Data mining and cleaning o ML (Supervised/unsupervised learning) o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers o End-to-end AI solution delivery o AI integration and deployment o AI frameworks (PyTorch) o MLOps frameworks o Model deployment processes o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account o Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) o Proficiency in deep learning frameworks (TensorFlow, PyTorch) o Strong mathematical foundation (linear algebra, calculus, probability, statistics) o Research methodology and experimental design o Proficiency in data analysis tools (Pandas, NumPy, SQL) o Strong statistical and probabilistic modelling skills o Data visualization skills (Matplotlib, Seaborn, Tableau) o Knowledge of big data technologies (Spark, Hive) o Experience with AI-driven analytics and decision-making systems

Job Description : We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team. You will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery. What we're looking for: At least 3 years of experience in designing & building AI applications for customer and deploying them into production At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizing it. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance. Hands on customer experience with RAG solution or fine tuning of LLM model. Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools. Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment. Proven experience building and deploying machine learning models in production environments for real life applications Good understanding of natural language processing, computer vision or other deep learning techniques. Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain). Familiarity with Google Cloud or any other Cloud Platform and its machine learning services. Excellent communication, collaboration, and problem-solving skills.

We are seeking a skilled Python TechLead with a strong interest in artificial intelligence and machine learning. Position Python/ML developer Tech Lead ( IMMEDIATE JOINERS PREFERRED) Experience 5 + years No of positions 1 Location Chennai, India Key Skills & Responsibilities Key Skills: Python, Python Flask, NLP (Content extraction), Pandas, OCR, Deep Learning, OpenCV, Tesseract, Computer Vision (Image Processing), TensorFlow, PyTorch, Keras, Scikit- learn, Paddle, ML, ML Algorithms, Neural Networks (CNN), Git, CI/CD, Cloud Experience (Any) Must Have Skills: Proficiency in Python programming language. Minimum 4+ years of hands-on experience in python and ML Strong background in machine learning algorithms and frameworks. Understand the requirements and objectives of the assigned projects Recommend appropriate approaches and technologies to deploy to achieve the objectives Iterate the development process to improve effectiveness of the models Implement parallel processing and other techniques to enhance processing speed Deep understanding of data extraction with Computer Vision and Deep learning libraries Excellent problem solving and analytical skills Ability to understand project requirements and objectives, and translate them into actionable development tasks Effective communication with stakeholders to provide technical insights and project updates Ability to lead and mentor a team of developers, ensuring adherence to best practices and coding standards Strong project management skills, including task prioritization, resource planning, and risk management Nice To Have Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with natural language processing (NLP) techniques. Previous work on computer vision projects Demonstrated experience and success in computer vision and text extraction projects

Sr. AI/ML Python Developer - 5-8 yrs * cross-functional teams on data analysis & statistics. * Develop ML models - Python, NumPy, Pandas, DLS & NLP. * Imple data pipelines, deploy models on TensorFlow Serving & GCP. Drop to rajkalyan@garudaven.com Food allowance Annual bonus Provident fund Health insurance Office cab/shuttle

AI Engineer (Mid-Level) Title: AI Engineer Level: Mid-Level Responsibilities: Design, develop, and implement AI/ML models and algorithms. Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. Write clean, efficient, and well-documented code. Collaborate with data engineers to ensure data quality and availability for model training and evaluation. Work closely with senior team members to understand project requirements and contribute to technical solutions. Troubleshoot and debug AI/ML models and applications. Stay up-to-date with the latest advancements in AI/ML. Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. Develop and deploy AI solutions on Google Cloud Platform (GCP). Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy. Utilize Vertex AI for model training, deployment, and management. Integrate and leverage Google Gemini for specific AI functionalities. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. 3+ years of experience in developing and implementing AI/ML models. Strong programming skills in Python. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Good understanding of machine learning concepts and techniques. Ability to work independently and as part of a team. Strong problem-solving skills. Good communication skills. Experience with Google Cloud Platform (GCP) is preferred. Familiarity with Vertex AI is a plus.

What you will do Build end-to-end machine learning models to solve business problems in Marketing Perform feature engineering and support data engineering to build robust data pipelines on large marketing datasets from different sources Collaborate with ML Engineering to build ML Pipelines to Train, Test, Deploy, Serve and Monitor models, Tune Hyperparameters, detect model and data drift and resolve issues Present machine learning models outcomes, and help interpret model predictions to various stakeholders using standard data visualization tools Contribute to designing Experiments to prove hypothesis, and conduct A/B testing Write unit test cases, validation checks, technical documentation, and user stories as per requirements What you will need Must: Experience in all phases of machine learning lifecycle including model selection, training, and evaluation, feature engineering, tuning hyperparameters, and deployment Must: Knowledge of CI/CD, Github Actions, Docker Must: Hands-on experience with Python, Software development concepts (Object-oriented or Functional Programming) Must: Proficient in Tensorflow or PyTorch, Keras, Jupyter Notebooks, GitHub, and SQL Must: Experience with atleast one deep learning and/or Causal Inferencing Must: Experience working in cloud platforms like AWS, and Big data technologies Nice to have: Hands-on experience with A/B Test result analysis and Experimentation Nice to have: Worked with large marketing dataset in Digital Marketing, Google Analytics, Adobe Omniture, etc. Bonus: GenAI or Agentic AI experience Note - Please note that this role requires to work 3 days from office in Bangalore. Plz apply only if you are fine to work from office.

Role & responsibilities AL Model Engineering Expertise: Deep proficiency in AI model engineering, that includes : Training and fine-tuning Vision Language Models (VLM), large language models (LLMs) and other Deep Learning (DL) architectures. Model optimization, quantization, and deployment for latency and throughput. Model evaluation and monitoring in production environments. Creating Small Language Models using Distillation , Pruning etc. Worked on accelerating AI training and inference, with GPU and NPU on Compute, Edge and Mobile platforms with SOCs from NVIDIA, Qualcomm etc. AI Solution Development: Build and integrate AI capabilities (e.g. computer vision, NLP, inferencing , recommendation, summarisation) into production-grade Web/Mobile App software. Scalability & Performance: Experience scaling AI systems for high-volume, real-time applications, leveraging Cloud-Native or Edge-AI technologies. Data-Driven Development: Strong understanding of data pipelines and feature engineering for AI applications.

Dear Candidates, Data Engineering,II with Print Publisher US global client Bangalore (Hybrid). Skills- Data Engineering,II Work Exp (years): 5-8yrs Location: Bangalore Work Mode Hybrid Skills Required: ML Ops , Python ,GCP or AWS Working shift -1-10 PM Masters in computer science, Data Engineering, or a related field with 3+ years of experience in Engineering or cloud-based systems for data science applications 2. Strong hands-on experience with Google Cloud Platform (GCP) and Amazon Web Services (AWS). 3. Strong programming skills in Python and cloud SDKs. 4. Proficiency in DevOps tools: Docker, Kubernetes, Terraform, Airflow, Jenkins, or similar. 5. Experience with Machine Learning lifecycle platforms (e.g., MLflow, Kubeflow, VertexAI, SageMaker). 6. Experience with CI/CD pipelines tailored to Data Science workflows & understanding monitoring tools. 7. Experience with large-scale multimedia datasets, including texts, images, and videos 8. Solid knowledge of version control, testing, and security practices in deployments. 9. Strong interpersonal and communication skills, and adept at working with multiple stakeholders Primary responsibilities: 1. Apply data science practices for data quality, feature engineering, and exploratory modeling 2. Work with cross-functional teams to assess data science use cases & solutions 3. Collaborate with stakeholders to ensure alignment of data solutions with business goals 4. Designing and building new tables to support evolving data needs. 5. Stay current with the latest trends and tools in Data Science and cloud-native technologies. If Interested Please send us an updated resume at namrata@findjobsforyou.co.in Below details. Total Exp: Relevant Data Engineer Relevant in Machine Learning ,MLflow, Kubeflow, VertexAI, SageMaker Relevant in Docker, Kubernetes, Terraform, Airflow, Jenkins Relevant in CI/CD Relevant in AWS and/or GCP Relevant in Docker Current CTC Expected CTC Notice Period Current location ok with Bangalore Notice Period Okay with Hybrid Thanks & Best Regards,

Your Role and Responsibilities 3+ years of experience in a Data Science, machine learning or a related field. Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems. Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions. Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions. Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail. Required Technical and Professional Expertise Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA 3+ years of Data science experience Strong expertise and deep understanding of machine learning. Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus Exposure to Industry specific (CPG, Manufacturing) use cases is required Strong client-facing skills Must be organized and detail oriented. Excellent communication and interpersonal skills Preferred Technical and Professional Experience Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.). Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.). Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques. Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment. Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow. About Polestar : As a data analytics and enterprise planning powerhouse, Polestar Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data. We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We hire from most of the Premier Undergrad and MBA institutes. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades. The list includes: - Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM. Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023. Featured on the Economic Times India's Growth Champions in FY2023. Polestar Solutions Selected as a 2022 Red Herring Global Companies. Top Data Science Providers in India 2023: Penetration and Maturity (PeMa) Quadrant. Indias most promising data science companies in 2022 by Analytics Insight. Featured on Forrester's Now Tech: Customer Analytics Service Providers Report Q2, 2021. Recognized as Anaplan's India RSI Partner of the Year FY21. Elite Qlik Partner and a member of the Qlik Partner Advisory Council’ & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar. We have one of the most progressive people’s practices which are all aimed at enabling fast paced growth for those who deserve it.

At Atos , we are currently implementing multiple AI-Enhanced solutions, and we are looking to hire talented Machine Learning Developer for our development centre in India. This position would be based out of Chennai and is a permanent position. If you are looking for a high growth company with rock-solid stability, if you thrive in the energetic atmosphere of high-profile projects, we want to talk to you today! Lets connect and explore possibilities of having you onboard the team! Job Title: Machine Learning Developer Primary skills: Proficiency in machine learning tools and languages (Python/TensorFlow/PyTorch) and ETL processes Location: Chennai, Tamil Nadu Job Description: The Machine Learning Developer is responsible for designing, developing, and deploying machine learning models and systems. This role combines the expertise of an MLOps engineer with the technical skills of a data engineer to create scalable and efficient machine learning solutions that drive business insights and automation. Main Responsibilities: Design and develop machine learning models and algorithms. Implement and optimize machine learning pipelines and workflows. Collaborate with cross-functional teams to integrate machine learning solutions. Perform data preprocessing and feature engineering. Monitor and improve the performance of machine learning models. Ensure the scalability and reliability of machine learning systems. Conduct research to enhance machine learning capabilities. Develop and maintain documentation for machine learning processes. Stay updated on the latest advancements in machine learning. Provide training and support on machine learning technologies. Required Experience: Proficiency in machine learning tools and languages (e.g., Python, TensorFlow, PyTorch). Strong understanding of machine learning algorithms and techniques. Expertise in data engineering and ETL processes. Excellent problem-solving and analytical skills. Ability to work with large and complex datasets. Strong communication and collaboration abilities. Knowledge of cloud platforms and machine learning deployment. Experience with machine learning research and development. Understanding of software development principles. Ability to translate business requirements into technical solutions. If you are interested to know more, please send an updated copy of your resume to akshay.ganar@atos.net About us: Atos is a leading global provider of integrated information technology and knowledge process services. We help global enterprises evolve the core by leveraging automation, scaled agile and cloud platforms to build efficient application development and management, testing and infrastructure solutions. Our digital services enable companies to engage customers, discover new insights through analytics, and create a more connected enterprise through the internet of things. Atoss "Customer for Life" philosophy builds collaborative partnerships and creates long-term client value by investing in IP, solutions and industry-focused delivery teams with deep domain knowledge. We encourage you to visit us on Atos.Net or follow us on Twitter, LinkedIn, Facebook, YouTube and other social media to know more about us.

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot , generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:I.The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.II.The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. 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 : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot, generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot , generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:1 The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.2 The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualification 15 years full time education

Duration: Immediate Job Description:- Apptad is looking for a Automation Test Lead Profile. It is a long-term job opportunity with us. Automation Test Lead with min 8 years of experience Primary skills Extensive experience in developing automation scripts with a variety of automation approaches and tools Selenium Cucumber Python etc Strong understanding of Git and CICD process is required Strong hands on experience with automation of APIs using SOAPUIRest Assured or other API automation frameworks Location Bangalore client office 2 to 3 days to work from client office in a week Secondary Skillsets Experience in performance testing approaches and tools Jmeter Gatling LoadNinja WebLoad etc Understanding and implementation of different test automation approaches key word driven Datadriven BDD hybrid Perform testing on sanity integration functional and regression testing across all environments qa UAT prod Previous experience on developing test scripts for ERPs CRM and creating test data for ML algorithms will be an added advantage Good to have experience in Chatbot and AI products Good to Have AzureAWS Cloud knowledge

About Zscaler Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We're looking for an experienced Staff Machine Learning Software Engineer to join our digital experience team . Reporting to the Director, you'll be responsible for: Leading identification and resolution of performance issues by developing advanced AI/ML models that pinpoint root causes of poor experience and detect performance bottlenecks for users Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points in the digital experience Implementing advanced AI/ML algorithms to detect and forecast anomalies in user experience across multiple dimensions Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders What We're Looking for (Minimum Qualifications) A Bachelors or Master’s(preferable) degree in Computer Science, Data Science, Statistics, or a related field with 6+ years of professional experience in data science or a related role Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks Strong experience with networking and end-point observability systems Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets Strong experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow What Will Make You Stand Out (Preferred Qualifications) Published research or contributions to digital experience/end-user observability/networking/ data science community Demonstrated experience in the monitoring space, with a deep understanding of user experience metrics, monitoring tools, and methodologies Experience with designing complex systems and scaling ML models on large scale distributed systems #LI-Hybrid #LI-AN4 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Were looking for a Python Developer with 3+ years of experience in AI/ML development and distributed systems. The ideal candidate is skilled in Python, understands core machine learning algorithms, AI advancements and has some experience/knowledge working with distributed computing and storage frameworks. Knowledge of backend architecture is a strong plus Role & responsibilities Preferred candidate profile - Strong Python programming skills - Understands Databases and Object Storage - Experience with ML algorithms and model development - Familiarity with distributed systems (e.g., Spark, Dask, Ray) - Exposure to large-scale data storage (e.g., S3, HDFS) - Good grasp of software engineering best practices

We are looking for a Machine Learning Engineer to join the Data Science team with the athena.intelligence division. You will work with the team to develop and deploy machine learning models across a variety of healthcare products and domains. About you: You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the team The data science team is bringing machine learning to bear against the hardest problems in healthcare. We are working with product and engineering leaders across the company to build machine learning into our Best In KLAS suite of products. We work hand-in-hand with platform engineers to deploy state-of-the-art machine learning models using cloud technologies. Job Responsibilities As a member of the Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following: Identify opportunities for different machine learning techniques and evaluate which are best Assist in developing and deploying ML-based production services to our clients Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so Apply rigorous testing of statistics, models, and code Contribute to the development of internal tools and data science team standards Typical Qualifications: Bachelors or Masters in relevant field: math, computer science, data science, economics Bachelor's with 2-3 years of professional experience OR masters with 0-2 years of experience in developing, evaluating and deploying machine learning models. Excellent verbal communication and writing skills Experience using machine learning models and libraries, familiarity with NN frameworks a bonus Experience with Python, SQL , Unix Familiarity with NLP or computer vision techniques Experience using the AWS ecosystem a bonus

About the Role Were looking for a Senior Data Science Manager to lead our AI & ML initiatives from research to deployment. This role demands deep technical expertise in Python coding, machine learning, and GenAI , combined with strong leadership skills to guide a high-performing team. You will work on impactful, large-scale AI solutions that power CARS24’s innovation engine. Key Responsibilities Lead, mentor, and grow a team of AI/Data Science professionals. Drive AI/ML research and oversee the end-to-end lifecycle of model development and deployment. Design and implement advanced ML models, including GenAI, NLP, and deep learning systems. Collaborate with stakeholders to define AI strategies, ensuring alignment with business goals. Manage large-scale ML systems on cloud platforms. Maintain high standards for AI ethics, fairness, and responsible deployment. Conduct performance optimization and scaling of AI solutions. Core Requirements Experience: 6–10 years in hardcore Data Science (hands-on Python coding & modeling essential). Proven leadership experience managing AI/Data Science teams. Advanced proficiency in Python (Pandas, Numpy, Matplotlib, Seaborn, etc.). Hands-on expertise with ML frameworks (TensorFlow, PyTorch). Solid understanding of ML algorithms (Regression, Classification, Clustering, Random Forest, Bagging, Boosting). Strong foundation in Probability, Statistics & Mathematics. Proficiency in SQL for data extraction and processing. Cloud computing experience (AWS, GCP, or Azure). Excellent communication, stakeholder management, and strategic planning skills.

About the Role: We are looking for a motivated Junior AI/ML Engineer with a strong foundation in NLP, SQL, Python, machine learning, and deep learning. The ideal candidate will have hands-on experience implementing ML algorithms, integrating models via APIs, working with Generative AI, and coding in both Python and C for performance-critical tasks. Key Responsibilities: Develop, train, and optimize ML/DL models for various business use cases. Build NLP pipelines for text classification, sentiment analysis, entity recognition, and conversational AI. Implement and fine-tune Generative AI models (LLMs, diffusion models) for innovative solutions. Apply core ML algorithms (regression, classification, clustering, recommendation, etc.) to solve problems. Write efficient code in Python for data preprocessing, feature engineering, and model training. Utilize C for performance optimization in computationally heavy components. Integrate models into production systems through RESTful APIs. Extract, manipulate, and analyze structured and unstructured data using SQL . Collaborate with cross-functional teams to gather requirements and deliver solutions. Stay up to date with emerging trends in AI/ML, NLP, and Generative AI. Required Skills & Qualifications: Bachelors degree in Computer Science, AI, Data Science, or a related field. 3-5 years of relevant AI/ML experience. Strong programming skills in Python and proficiency in C . Solid knowledge of ML algorithms and practical implementation experience. Proficiency in SQL for database querying and data analysis. Hands-on experience with NLP tools/libraries (spaCy, NLTK, Hugging Face Transformers). Familiarity with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of Generative AI techniques and models (GPT, LLaMA, Stable Diffusion, etc.). Experience working with RESTful APIs for AI model deployment. Understanding of software engineering best practices (Git, code optimization, testing). Role & responsibilities Preferred candidate profile

Employment Type: Regular, Full-Time Reports To: R&D Senior Manager We are looking for passionate and skilled Software Developers to join our Core AI Services team. In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. These services will act as foundational building blocks for AI adoption across AVEVAs product portfolio and partner ecosystem. You will part of a Scrum team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up. Key Responsibilities: Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. AI & Cloud Expertise Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability. Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks. Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks tools such as PyTorch and TensorFlow. Core Skills and Qualifications: 6+ years of experience in software engineering, with at least 2 years focused on building or integrating AI/ML solutions. Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management). Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. Experience working in Agile teams and collaborating across global R&D locations Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation Demonstrated experience with AI frameworks, tools and Python

This is an exciting opportunity for a Data Scientist to deliver high-value analytics solutions for the Version 1 AI Labs. This provides a unique opportunity for people who are passionate about technology and have a deep commitment to code quality and best practices to build something special and make a real difference to our business and to our customers business. You will have strong experience in building solutions using a variety of open-source tools and exposure to Python, Spark, NLP, Transformers and a proven track record in delivering high-quality work to tight deadlines. The successful candidate will work on a wide range of projects across both traditional AI techniques (e.g. machine learning, predictive modelling, and NLP) and the latest advances in multimodal large language models, including those for image, video, and text generation or understanding. The role will require a data scientist with excellent communication skills, that is willing to continuously learn and listen. Creative problem solving and a keen understanding of how predictive analytics can be leveraged in business processes are a must. Were looking for a data scientist that is inherently curious, driven, willing to learn & develop, with an owning the problem and self-starter attitude. Qualifications Essential: Excellent communication skills, including written and oral English language skills Minimum 3+ years of experience in a Data Scientist role Graduate degree in Data Science, Statistics, or another quantitative field. Solid understanding of Spark Strong foundation in statistics Solid understanding of metrics and their usage. Expert programming skills in Python and SQL and with relevant Data Science & ML frameworks (Scikit-learn, Pandas, PyTorch, etc) Deep understanding of statistical and ML algorithms, methodologies and approaches, and with deep learning & LLMs (Gen AI). Experience with working with either Azure/AWS Cloud Environments. Python conventions, writing clean code and testing functionality Ability to work to own initiative and without heavy oversight Must show evidence of your passion for technology and continuous learning Desirable: Familiarity with Huggingface Familiarity with Databricks Familiarity finetuning LLM. Experience working with Azure OpenAI, AWS Bedrock. Experience working with offshore team Consultancy experience

1. Classical AI/ML(Regression, trees, Naive Bayes) 2.Generative AI (GenAI) - LLM frameworks like OpenAI API, Hugging Face, and LangChain , GPT 3. Familiarity with REST API development using FastAPI/Flask Required Candidate profile 1.Familiarity with REST API development using FastAPI/Flask 2. Experience in Python, NumPy, Pandas, Scikit-learn Looking for Immediate Joiners