8259 Machine Learning Jobs - Page 48

We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers. Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred. Excellent software engineering and programming skills, especially Python and SQL. A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions. A deep understanding of using cloud computing infrastructure and data pipelines in production. Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher. The drive to make a positive impact on customers' lives.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

We are looking for an experienced Senior Data Scientist to join our analytics team and lead high-impact projects. This role requires a deep understanding of statistical analysis, machine learning, and data-driven strategy, with a focus on developing and delivering innovative analytics solutions to meet complex business needs. The ideal candidate will have extensive hands-on experience, strong technical skills, and proven leadership capabilities to guide a team of data scientists and machine learning engineers. Key Responsibilities: Statistical Analysis & Use Case Identification: Utilize advanced statistical techniques to analyze large datasets, uncovering trends and patterns that support data-driven decision-making. Identify and define use cases to support business strategies, using insights from data to generate value and guide strategic direction. Data Analytics Maturity Assessment: Assess the organizations data analytics maturity, utilizing descriptive data analysis to evaluate current capabilities. Develop and propose use cases for advanced analytics, including diagnostic, predictive, and prescriptive models to enhance data utilization. Technical Expertise: Apply hands-on expertise in Python and data science, employing a variety of machine learning algorithms for tasks like regression, classification, natural language processing (NLP), and operational research. Implement, optimize, and maintain complex models, ensuring they are scalable and effective. Advanced Machine Learning: Leverage experience with large language models (LLMs) and Retrieval-Augmented Generation (RAG) models to build sophisticated applications, including chatbots and other NLP-based solutions. Communication & Presentation: Demonstrate excellent communication skills to convey complex analytics insights to stakeholders. Lead customer meetings, presenting analytical findings and recommending actionable, data-driven solutions. Solution Development: Develop solutions aligned with business objectives by translating business requirements into impactful, data-driven solutions. Foster a solution-oriented mindset within the team, focusing on delivering analytics solutions that enhance decision-making and drive value. Team Management: Lead a team of data scientists and machine learning engineers, providing mentorship, technical guidance, and project oversight. Ensure alignment of team projects with business goals, maintaining a focus on quality and timely delivery. Experience: At least 5-7 years of hands-on experience in data science, machine learning, and statistical analysis. Proven track record in managing and mentoring a team of data scientists and engineers. Extensive experience with Python and essential libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Skills: Strong knowledge of machine learning techniques, including regression, classification, NLP, and operational research. Experience with deep learning, LLMs, and RAG models for advanced applications like chatbot development is highly desirable. Exceptional problem-solving skills, with an emphasis on delivering actionable business insights. Excellent communication, presentation, and interpersonal skills. Ability to work both independently and collaboratively in a fast-paced, dynamic environment.

Hi, Greetings from Tensaw Technologies!! Are you a 2025 pass-out passionate about Machine Learning and AI? Looking to kickstart your career with hands-on experience in a dynamic environment? Were excited to offer a 3-month internship opportunity at our Kochi office! Location: Kochi, Kerala Duration: 3 months Eligibility: Final year students or recent graduates (2025 pass-outs) What were looking for: Strong knowledge and understanding of Python, Machine Learning algorithms, and related concepts Passion for Machine Learning, AI, or Data Science Prior internship experience in ML/AI is a plus Willingness to relocate to Kochi for the internship Eagerness to learn, build, and collaborate with our innovative team To apply, send your resume to: bitsy@tensaw.email Thanks and Regards, Tensaw Technologies

Company Profile: At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Your future duties and responsibilities Job Title: Generative AI Developer Position: Senior Software Engineer Experience:5+ Years Category: Software Development/ Engineering Main location: Bangalore/Chennai/Hyderabad Position ID: J0625-0804 Employment Type: Full Time About the Role: We are seeking a highly skilled and experienced Generative AI Solution Architect to lead the design and implementation of innovative AI solutions. This role focuses on utilizing Microsoft Azure Cognitive Services, Azure Open-AI, Databricks, and advanced AI/ML technologies to deliver cutting-edge AI-powered systems. As a key player in our cloud and AI transformation, you will architect and deploy solutions that leverage Natural Language Processing (NLP) and other AI models, ensuring optimal performance, scalability, and security within cloud environments. Key Responsibilities: Architect and design scalable AI solutions using Microsoft Azure Cognitive Services, Azure Open-AI, Databricks, and related AI tools. Lead the end-to-end development of AI/ML models, focusing on Natural Language Processing (NLP) and other generative AI use cases. Collaborate with cross-functional teams, including Data Science, Engineering, and DevOps, to deploy AI models into production environments using Azure Cloud and DevOps best practices. Develop and integrate advanced analytics solutions, leveraging Python (Anaconda) and various AI/ML frameworks. Oversee the implementation of cloud architectures, ensuring adherence to security, scalability, and reliability standards. Mentor and provide technical leadership to junior AI engineers and data scientists, fostering growth and development within the team. Engage with stakeholders to understand business challenges and identify opportunities for AI-driven improvements. Act as a subject matter expert (SME) for all AI-related topics, providing insights and guidance on cutting-edge AI technologies and industry trends. Deliver presentations and communicate complex technical solutions effectively to both technical and nontechnical audiences. Drive the implementation of DevOps practices for continuous integration and deployment (CI/CD) in AI model development. Required Skills: Extensive experience with Microsoft Azure Cognitive Services, Azure AI, and Azure Open-AI for building AI solutions. Strong expertise in Python (Anaconda), AI/Machine Learning, and NLP technologies. Proficiency in Databricks for largescale data processing and machine learning workflows. Deep understanding of Cloud Architecture and AI deployments in the Microsoft Azure ecosystem. Experience in implementing and optimizing AI models in production environments using DevOps and CI/CD practices. Strong analytical thinking with the ability to solve complex AI problems and propose innovative solutions. Demonstrated knowledge of Artificial Intelligence, Machine Learning, and Data Science principles. Excellent communication and presentation skills, capable of articulating complex AI concepts to diverse audiences. Proven leadership and mentoring skills, with a passion for guiding and developing talent. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 5+ years of experience in AI/ML, with at least 3 years in a solution architecture or similar role. Certification in Microsoft Azure or related AI certifications is a preferred. #LI-SA19 Required qualifications to be successful in this role Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

AI/ML Engineer Location: Hyderabad Experience Level: Experienced (3 to 5 years) Education: Bachelor s degree in Technology, Business, or related field About Us NationsBenefits is recognized as one of the fastest-growing companies in America and a leading Healthcare Fintech provider. We specialize in supplemental benefits, flex cards, and member engagement solutions. Partnering with managed care organizations, we offer innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and deliver value to members. Through our comprehensive suite of supplemental benefits, fintech payment platforms, and member engagement solutions, we enable health plans to provide high-quality benefits that address social determinants of health, ultimately improving member health outcomes and satisfaction. Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model empower our health plan partners to offer value-based care to millions of members. We offer a dynamic and fulfilling work environment that attracts top talent, where associates are encouraged to contribute to delivering premier service to both internal and external customers. Our goal is to transform the healthcare industry for the better! We provide opportunities for career advancement across multiple locations in the US, South America, and India. Job Description We are seeking a highly skilled and motivated Machine Learning Engineer with expertise in Retriever-Augmented Generation (RAG) , BERT (Bidirectional Encoder Representations from Transformers) , and Pinecone to join our innovative AI/ML team. Responsibilities: Work on cutting-edge ML models and AI-driven applications : Focus on improving retrieval-augmented generation (RAG) systems and developing scalable solutions. Design and fine-tune BERT-based models : Implement models for a range of tasks including sentiment analysis, named entity recognition (NER), and question answering. Utilize Pinecone for scalable vector search solutions : Enhance the performance of search and retrieval systems by implementing fast, scalable, and high-performing vector search techniques. Manage large datasets : Apply best practices in machine learning to ensure robust model training, validation, and deployment pipelines. Collaborate with cross-functional teams : Work closely with Data Scientists, Product Managers, and Backend Engineers to deploy AI solutions into production. Conduct research and experimentation : Improve existing algorithms and model performance in retrieval-augmented generation. Optimize model performance : Ensure the efficiency, accuracy, and scalability of solutions in production environments. If youre passionate about leveraging AI/ML technologies to transform the healthcare industry, we would love to hear from you! This version enhances readability by using clear headings, bullet points for responsibilities, and consistent formatting.

- Cloud: Migration, infrastructure management. - Data: Analytics, BI tools. - AI/ML: Automation, NLP. - Digital Workplace: Remote work - IoT: Connected devices. - Mobile/Web: Custom apps - Legacy Modernization: Upgrades - DevOps/Agile: Implementation

Hello there! Infrrd here. Haven t heard of us beforeNo problem. First off, it s pronounced In-fur-d. The Enterprise AI company that uses AI and Machine Learning technologies to help our customers automate human tasks. We are looking for a highly skilled Growth Marketing Executive to own and drive performance marketing campaigns that fuel our lead pipeline. You will manage Google Ads end-to-end and optimize lead generation strategies for our B2B SaaS business targeting US-based clients. A good grasp of HubSpot, campaign tracking, and attribution is essential, as is experience working in India and generating leads for US markets. Someone who has: 3-5 years of hands-on Google Ads experience, ideally in a B2B SaaS environment Strong understanding of HubSpot CRM, lead tracking, and campaign attribution Proven track record of generating leads for US-based markets Familiarity with full-funnel lead gen strategies (TOFU, MOFU, BOFU) Strong analytical skills with comfort in using tools like Google Analytics, Google Tag Manager, Looker Studio, etc. Ability to optimize campaigns toward quality leads not just volume US client lead-gen experience is a strong plus What you will do: Plan, execute, and optimize Google Ads campaigns (Search, Display, Performance Max, YouTube) Manage budgets, monitor spend, and improve cost-per-lead (CPL) Track and analyze leads through HubSpot, ensuring correct attribution across paid channels Report campaign performance with insights and actionable recommendations Set up experiments and A/B tests to improve conversion rates Collaborate with content, design, and sales teams for aligned demand-gen efforts Research and implement keyword strategies for optimal ROI Stay updated on Google Ads platform changes and trends Why Join Us: Work with a fast-growing B2B SaaS company with global ambitions Opportunity to lead paid media strategy with autonomy Dynamic, collaborative, and flexible work environment Exposure to global marketing best practices Looking forward to speaking with you!

As five-star service provider for our internal divisions, Bosch Global Business Services offers End-to-End processes that ensure the best possible customer experience. Our long-term aim is to process all services from anywhere in the world and provide our solutions around the clock. Working with us means being part of a diverse team, with dynamic colleagues as digital innovation center for internal business processes driving success together. Join our team as Future-Makers, Solution Innovators and Design Thinkers and help us to offer services that empower people to create technology that is invented for life. Activities: As a Data Scientist you will work as part of our global Data Science team to provide data driven AI solutions for our internal customers using state-of-the-art Machine Learning methods and tools. In collaboration with other Bosch units, you will enhance and operate our existing cloud-based solutions including anomaly detection, forecasting, and retrieval-augmented generation systems as well as explore new potential Machine Learning use cases. As an employee of the global cross Business Intelligence team (xBI), you will work on the future steering of Bosch together with Data Modelers, Data Engineers, and Business Analysts. Last but not least, as part of the leading in-house provider for data and analytics-based solutions within Bosch, you will experience the start-up spirit with us and make your contribution through entrepreneurial thinking and acting

Roles & Responsibilities : Machine Learning & Data Science: Develop and implement advanced statistical models, predictive analytics, and optimization frameworks . Research, develop, and apply ML, Deep Learning, and AI techniques on large datasets. Conduct exploratory data analysis (EDA) and apply feature engineering techniques. Optimize and tune ML models for performance, scalability, and accuracy. Large Language Models (LLMs) & NLP: Fine-tune and customize LLMs (GPT, LLaMA, Falcon, etc. ) for enterprise use cases. Implement Retrieval Augmented Generation (RAG) pipelines for chatbots and knowledge retrieval. Work with vector databases for semantic search . Deploy LLM-powered applications for document summarization, sentiment analysis, and automation . AI & Data-Driven Business Insights: Translate complex AI/ML models into actionable business insights . Partner with stakeholders to define data requirements and ensure the right data is captured . Develop proof-of-concept solutions demonstrating AI and ML capabilities. Deployment & MLOps: Deploy AI/ML models using cloud technologies (Azure, AWS, GCP) . Work with Docker, Kubernetes, and CI/CD pipelines for scalable ML deployment. Continuous Learning & Innovation: Stay updated with the latest trends in AI, LLMs, GenAI, and cloud-based ML platforms .

Job Description At Ecolab, you can help take on some of the world s most meaningful challenges, delivering critical insights and innovative solutions to help our customers achieve clean water, safe food, abundant energy and healthy environments. With our worldwide reach and ambitious growth plans, you will have the opportunity to own your future and impact what matters. Are you ready to make an impact The AI Operations Analyst is responsible for managing and optimizing the adoption and performance of AI systems within GBS+. This role involves providing designing and executing model training processes, monitoring daily AI operational performance, and ensuring the accuracy, reliability, and functioning of AI models and applications. The AI Optimization Analyst will work with cross-functional teams to ensure AI models are optimized for performance and scalability. What s in it For You: You will join a growth company offering a competitive salary and benefits. The ability to make an impact and shape your career with a company that is passionate about growth. The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best. Feel proud each day to work for a company that provides clean water, safe food, abundant energy and healthy environments. What You Will Do: Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models. Execute daily monitoring of AI and process performance. Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team. Support objectives to ensure AI performance meets business value objectives. Ensure compliance with established responsible AI policies. Maintain documentation on AI processes. Monitoring the performance of business processes, such as cash applications, order processes, and billing. Identifying issues and resolving them in collaboration with development teams. Interacting with users to understand and solve performance issues in automated processes. Analyzing data and metrics to detect anomalies and optimize processes. Minimum Qualifications: Bachelors degree in Computer Science, Data Science, or a related field. Master s degree preferred Process domain expertise Experience with AI/ML operations and monitoring tools. Strong problem-solving and analytical skills. Knowledge of AI governance and ethical guidelines. Excellent communication and collaboration skills. Knowledge of machine learning frameworks and libraries Preferred Qualifications: Deep understanding of business processes and how they operate. Technical aptitude to understand systems and processes, including AI solutions. Experience with SAP and ServiceNow is ideal. Competence in data analysis and the ability to interact with large volumes of data. Focus on business analysis and problem-solving rather than software development. Ability to interact with users and provide support in optimizing processes. At Ecolab, we prioritize our talent-first philosophy by creating the most capable team to excel at our nearly three million customer sites. Building on more than a century of innovation, Ecolab has annual sales of $16 billion, employs approximately 48, 000 associates, and operates in more than 170 countries around the world. Ecolab is a global sustainability leader offering water, hygiene, and infection prevention solutions and services that protect people and the resources vital to life. Our comprehensive science-based solutions, data-driven insights, and world-class service advance food safety, maintain clean and safe environments, and optimize water and energy use.

We are looking for a Senior Software Engineer for Autonomous Vehicles in the DRIVE mapping team. An always available map helps tremendously for reliable autonomous driving. In this role, you will help build robust solutions for using ubiquitous navigation maps. We are seeking the best engineers passionate about solving problems for self-driving cars with a background in software design, embedded software, working on real-time software and operating systems. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditionsIf so, join us! What Youll Be Doing Design and develop algorithms for map based driving products Develop highly efficient code in C++14 or later Integrate algorithmic solutions into the core of NVIDIA DRIVE AV Analyze & visualize various navigation maps using Python, Typescript or Javascript Create scalable and distributed map KPI workflows What We Need To See BS, MS, or PhD in Computer Science or equivalent experience. 3+ years of proven experience building robust software At least 3 years of modern C++ development experience Background in computer vision, 3D geometry and machine learning Passion for robotics and autonomous vehicles Drive to learn new things and solve meaningful problems Excellent communication and cross-team collaboration Independent and analytical engineering skills Ways To Stand Out from the Crowd Software development on embedded or automotive platforms. Knowledge of gRPC, Flat Buffers and Protocol Buffers Experience with GPGPU programming (CUDA). Runtime optimization of code using profilers. Experience with API and framework design. We believe that realizing self-driving vehicles will be a defining contribution of our generation (e. g. traffic accidents are responsible for ~1. 25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world s most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If youre creative and autonomous, we want to hear from you!

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes. Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients. Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise. Join our team as the expert you are now and create your future. A highly motivated and detail-oriented Associate - Data Scientist with a strong foundation in statistics, machine learning, classification, regression, clustering, recommendation, anomaly detection, Natural Language Processing (NLP) and healthcare data analytics. This role requires hands-on experience in building and deploying predictive models, conducting clustering and segmentation analysis, applying Market Basket Analysis (MBA) for root cause pattern discovery, and utilizing supervised and unsupervised ML techniques to uncover insights from complex datasets. Coordinate with the stakeholders to develop data-driven solutions that address challenges in denials, collections, write-offs, and payment forecasting. Job Title: Data Scientist Practice: Healthcare Level: Associate Location: Bangalore Key Responsibilities: Analyze large-scale healthcare claims and transaction data (charges, payments, denials, write-offs, etc.) Develop and implement predictive models, such as XGBoost, Random Forest, or Logistic Regression, for denial prediction, transaction classification, and payment forecasting Apply unsupervised learning techniques (e.g., clustering, MBA) to detect denial root causes, payer patterns, and operational inefficiencies. Identify trends and anomalies to support root cause analysis in denials and underpayments Build and validate machine learning models likw classification, forecasting, clustering for Denial prediction and pattern recognition, Cash collection forecasting and Write-off root cause analysis Use tools such as Python (scikit-learn, XGBoost, pandas), SQL, and AWS services like SageMaker, Athena Translate business problems into machine learning problems and deliver solutions with clear, measurable outcomes. Collaborate with business stakeholders to define use cases and translate them into analytical models and interactive insights Work with large datasets from AWS Redshift, S3, Oracle, SageMaker, Excel, and other sources to preprocess and prepare training datasets Provide statistical analysis and model validation to ensure accuracy and reliability on unseen RCM data Automate and replace manual Excel-based reports with AI-powered analytics and decision support tools Collaborate with data visualization teams to integrate model outputs into business-friendly dashboards using AWS QuickSight or Power BI Assist in integrating models into production environments and monitoring performance Work closely with domain experts, operations leaders, and client teams to translate business questions into analytical solutions Participate in brainstorming sessions for new use cases and innovations Required Qualifications & Skills: 5+ Yrs of experience in analytics and Data science Proficient in Python and SQL for data transformation and model building Hands-on experience with supervised and unsupervised ML techniques, including clustering, classification, and association rule mining Exposure to statistics, hypothesis testing, and model performance evaluation techniques (e.g., ROC-AUC, precision/recall, F1) Experience with AWS tools such as SageMaker, Redshift, Athena, S3; familiarity with Snowflake is a plus Preferred knowledge on Revenue Cycle Management Exposure to Python, SQL and data querying for extracting insights and Excel formulae Good communication skills and ability to work with business teams. Eagerness to learn cloud-based data tools (AWS, S3, Redshift, Snowflake, etc.) Position Level Associate Country India

Location: Coimbatore Job Type: Full-time Salary Range: Starts from 15k Role Overview As an AI Engineer , you will design, develop, and deploy AI models that enhance our products and services. You will work closely with data scientists, software engineers, and product teams to build scalable AI-powered applications. Responsibilities Design, develop, and optimize machine learning and deep learning models for real-world applications. Collaborate with data scientists to transform prototypes into production-ready AI systems. Work with large datasets to train, validate, and fine-tune AI models. Integrate AI models into scalable cloud or on-premise architectures. Develop APIs and pipelines for deploying AI solutions in production. Optimize AI algorithms for efficiency, accuracy, and performance. Stay up to date with the latest advancements in AI and recommend improvements. Troubleshoot and improve existing AI models and systems. Requirements Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn) or similar AI frameworks. Experience with machine learning algorithms, deep learning, NLP, or computer vision . Proficiency in data preprocessing, feature engineering, and model evaluation . Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps, CI/CD pipelines, and model deployment . Knowledge of SQL and NoSQL databases for handling large datasets. Strong problem-solving skills and ability to work in a collaborative environment. Nice to Have Experience with LLMs (Large Language Models) and Generative AI . Knowledge of big data technologies (Spark, Hadoop). Experience with Edge AI or real-time AI applications . Contributions to open-source AI projects or published research papers. Job Type: Full-time Pay: ₹15,000.00 - ₹18,000.00 per month Schedule: Day shift Ability to commute/relocate: Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Your current CTC Work Location: In person

Experience Required: 3+ Years max 5 yrs Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Job Types: Full-time, Permanent Pay: ₹40,000.00 - ₹90,000.00 per month Benefits: Cell phone reimbursement Paid sick time Schedule: Day shift Monday to Friday Morning shift Work Location: In person

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Create and execute a global Data Science/Data Architecture strategy based on the overall CT Technology strategy together with the CFO IT Data Science team. Portfolio Management - Define the Process of Portfolio and bring it into execution Ideation Facilitator: Explore with Business Areas to keep the Use case pipeline filled continuously Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Experience with programming languages such as Python or R. More than 8 years of dedicated experience in various data science-related roles in the industry. Experience in agile project management with internal and external partners. Strong project management skills with the ability to manage multiple projects simultaneously. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities. Additional Information You inspire your stakeholder and contact partner with an effective communication of high intercultural sensitivity Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success up to date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.

Data Scientist II Hyderabad, Telangana, India Date posted Jun 25, 2025 Job number 1833688 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe. Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. As part of this team, you would get a chance to work on the core search stack powering all Copilot Search scenarios. We are looking for candidates who can help build the next generation Machine Learning system. Candidates are expected to be hands on and experienced on data mining, ranking, clustering, recommendation systems. As a Data Scientist II in the team, you will be working on challenging problems, demonstrate quantifiable end user impact through product quality improvements and share learnings with the team. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying techniques and reporting results. OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applyingtechniques and reporting results. OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: 2+ years of experience in Data Science, Machine Learning, Software Engineering. Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines. A minimum of Bachelor’s degree in Computer Science or related field. Prior work/research experience in Search domain is preferable. Responsibilities Some of the specific search relevance areas that the team is focused on are: End to end ranking of search results. Personalization of search results. LLM applications to Search problems. Experiment with State of the Art encoding/decoding architectures for Search. Document Text/Passage extraction and understanding. Compliance and Privacy aware Machine Learning training pipelines at scale. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Key Responsibilities: - Gather and extract data from various databases and sources, ensuring data quality and consistency. - Perform detailed data analysis to uncover trends, patterns, and actionable insights that support business objectives. - Develop predictive models and algorithms to address complex business challenges and forecast outcomes. - Use statistical tools and machine learning techniques to optimize processes and inform strategic initiatives. To provide suggestions and research backed recommendations for adoption of newer tools and available products to enhance data productivity - Design and implement automated dashboards and reporting systems to streamline data insights and accessibility. - Develop automated alert mechanisms to promptly notify relevant stakeholders of significant changes or anomalies. - Collaborate with cross-functional customer experience teams to understand data needs and provide analytical support. - Present findings and recommendations to senior leadership in a clear, concise, and impactful manner. - Lead and manage data science projects from conception to completion, ensuring timely delivery and alignment with organizational goals. - Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation. Qualifications: - Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Experience in data science, analytics, or a similar role, with at least 4-5 years in a leadership or managerial position. - Proven experience in building and deploying machine learning models and automated solutions. Technical Skills: - Proficiency in programming languages such as Python, R, or Java. - Strong SQL skills and experience with data querying and transformation. - Familiarity with big data technologies like Hadoop, Spark, or AWS. - Experience with data visualization tools such as Tableau, Power BI, or similar. - Knowledge of statistical analysis and machine learning frameworks (e.g., scikit-learn, TensorFlow). Soft Skills: - Strong analytical and problem-solving abilities. - Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. - Ability to work collaboratively in a team environment and lead projects with minimal supervision. Preferred Qualifications: - Experience in creating real-time data pipelines and automated alert systems. - Understanding of data governance and compliance practices. - Prior experience in aviation or a customer-centric or high-growth industry is a plus. "At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connections with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their – but not limited to - gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, differently-abled status, marital status, nationality, age, family status, and maternity status"

Experience Minimum 4+ Years of experience in machine learning & data analytics. Expert knowledge in Python, Statistics, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and NLP. Very good knowledge of Django/Flask, SQL, and TABLEAU is preferable. Deployment on AWS/GCP/Azure is preferable. Real-Time experience of working on Data Science (ML, DL & NLP) Projects is mandatory. Methodical and Aggressive learner. Roles & Responsibilities: Should be willing to handle Offline & Online training sessions. Deliver daily lectures and maintain high lecture rating Identify the gaps in learning when working with students. Design and develop engaging study material and content. Good at managing the cross-team effort Develop and deliver a complete end to end Data Science Projects Employment Type: Full-Time Job Types: Full-time, Part-time, Permanent, Freelance Pay: Up to ₹1,200,000.00 per year Schedule: Rotational shift Ability to commute/relocate: Nizampet, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 1 year (Required) Teaching: 1 year (Required)

JOB DESCRIPTION : Data Science Trainer / IT Trainer Edtech Experience will be preferable. Min. 1 year exp. Responsibilities: Conducting classroom and online lectures on Data Science , Python, ML, Al , Power Bi and related technologies to students Assigning and evaluating coursework, quizzes, and projects Providing one-on-one assistance and mentoring to students as required Ensuring that the course curriculum is up-to-date and relevant to industry standards Collaborating with other trainers and course developers to develop new training materials Maintaining accurate student records and progress reports Creating a positive and engaging learning environment for students Participating in faculty meetings, staff development programs, and other professional development activities as required Staying up-to-date with the latest trends and developments in Data Science , Python, ML, Al , Power Bi and related technologies Requirements: A Bachelor's or Master's degree in Computer Science or a related field A minimum of 1 years of experience as a Data Science developer or trainer Excellent communication and interpersonal skills Strong knowledge of Data Science, Python, ML ,Al, PowerBi and related web technologies Experience working with databases such as Data Science Tools and Ms Excel Familiarity with front-end technologies such as HTML, CSS, and JavaScript, MS Excel, Advanced Excel A passion for teaching and helping students achieve their career goals Ability to work independently as well as in a team environment Job Types: Full-time, Permanent Pay: Up to ₹800,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Application Question(s): Current CTC? EDTECH Experience Experience: total work: 1 year (Required) Work Location: In person

Data scientist role 6+yrs exp in Data Science & AI/ML designing, developing, and deploying scalable AI/ML solutions for Big Data GCP preferred, AWS/Azure a plus Gurgaon Call on 7042331616 or drop cv on supreetbakshi@imaginators.co

Job description Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Evaluate and benchmark different machine learning models to determine optimal solutions. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. • Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team. Work from office Afternoon shift NO ONLINE INTERVIEW : Role: Data ScientistIndustry Type: IT Services & ConsultingDepartment: Data Science & AnalyticsEmployment Type: Full Time, PermanentRole Category: Data Science & Machine Learning EducationUG: Any GraduateKe

Requirement : Bachelor's Degree in Computer Science, Operations Research, Statistics, or related field. Knowledge of R, or Python Knowledge of building regression and classification models Familiarity with any or all of, Regularization methods: Lasso, Ridge Ensemble methods: Random Forest, Boosting Time Series analysis: Auto-regression, moving average, etc. Graphs modeling Support Vector Machines Decision trees Preferred : Master's or higher degrees. Industry experience in the field of Data Science. Participation in competitions like Kaggle, Netflix Data Challenge. Open source contributions in areas of Data Science (Machine Learning, Deep Learning, Statistical Learning). Worked on Scala and/or Spark. Understanding of generative AI concepts, such as transformers, diffusion models, and LLMs

We are organizing a Virtual Hiring Drive on Saturday, 28th June 2025 across all Kanini locations Chennai, Coimbatore, Bangalore, and Pune Job Description: We are looking for an experienced and passionate Data Scientist with a strong background in Python programming and Azure services. The ideal candidate will have hands-on expertise in deploying GenAI/OpenAI-based solutions , working with FastAPI , vector databases , and RAG (Retrieval-Augmented Generation) architectures. Experience in CI/CD , NLP , computer vision (CV) , and deep learning is essential. Key Responsibilities: Design, develop, and deploy machine learning and GenAI solutions. Build and optimize RAG-based architectures using vector DBs, embeddings, and chunking techniques. Develop RESTful APIs using FastAPI and Django. Work with Azure services including Form Recognizer , Azure ML , and Data Storage . Integrate CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams (Product, Engineering, DevOps). Handle structured and unstructured data from various sources including NoSQL databases. Implement NLP and Computer Vision solutions using pre-trained and custom models. Optimize performance and cost of deployed models in production. Primary Skills Proficient in Python programming with strong experience in FastAPI and Django frameworks Hands-on expertise with Microsoft Azure services , including Form Recognizer and Azure Machine Learning Experience in Generative AI , OpenAI APIs , and Large Language Models (LLMs) Skilled in building Retrieval-Augmented Generation (RAG) solutions Familiar with Vector Databases such as FAISS , ChromaDB , Pinecone , and Milvus Knowledge of embedding generation and text chunking techniques Experience in Natural Language Processing (NLP) and Computer Vision (CV) Strong understanding of Machine Learning and Deep Learning techniques Proficient in CI/CD pipeline tools like Jenkins and GitHub Actions Experience working with NoSQL databases , including MongoDB and Cassandra Location: Chennai, Coimbatore, Bangalore, Pune