8109 Machine Learning Jobs - Page 12

AI and Data Science Executive * We’re on the lookout for an AI & Data Science Executive who’s not just fluent in AI, NLP, and machine learning but also excited about using tech to drive real social change. If you thrive on solving complex problems, love turning data into actionable insights, and believe in the power of AI to build trust and transparency, we’d love to have you on board. Company Overview Ihe House of DoBe is your new purpose engine. We’re building a community that fuels pro-sociability: your yin yang with a big bang, meaning, small deeds that matter to you, shared causes you have always held close to your head and heart, and the quiet reengineering of our cognitively overloaded culture with prosocial motivation, ability, and skill. Do a little. To do a lot. If you are a real doer who still believes in simple human values of K.A.R.M.A.® Kindness, Altruism, Righteousness, Mindfulness, and Authenticity, join us to aggregate, re-engineer, and incentivize human pursuit of pro-sociability for a purpose economy. We are solving for the lost or otherwise ignored 21st-century skill of civic empathy in the times of fast technology. We are powered by Impresario Global (I.M), a Social Impact MarTech startup in the business of cause amplification. Website https://www.do-be.ai/ Objective- Develop a blockchain-enabled platform for managing and tracking campaigns in real time to ensure transparency, accountability, and impact measurement. Scope of Work: Blockchain Integration: Design and integrate blockchain architecture for secure and immutable campaign tracking. Enable token-based reward systems for participants, tied to campaign milestones and purpose scores. Data Tracking: Build mechanisms for real-time data collection and tracking campaign performance across stakeholders. Include metrics for engagement, impact, and ROI, mapped to SDG alignment. Transparency Tools: Develop transparent dashboards to show fund utilization, milestone achievement, and user engagement. Enable public access to anonymized campaign summaries to build trust and credibility. Smart Contracts: Deploy smart contracts to automate campaign payments, milestones, and accountability checks. Impact Analytics: Implement analytics tools to measure the effectiveness and reach of campaigns, with a focus on prosocial outcomes. Media centre: Design and deploy a media centre that acts as the hub for inbound and outbound information for the social impact sector KPIs: Platform readiness and prototype completion within 8 weeks. 100% transparency in campaign tracking with blockchain logs. Impact analytics dashboard functional for at least 2 campaigns during the pilot phase. Token reward system operational with clear integration to purpose metrics. **Key Deliverables Across Projects: ** Weekly progress reports. Functional dashboards and live prototypes for each project. Final report detailing insights, methodologies, and next steps. Comprehensive documentation of models, codebases, and workflows. Collaboration Approach: Weekly check-ins to review progress, blockers, and key learnings. Agile methodology with bi-weekly sprints for deliverable updates. Shared repository for code and data management. Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Advanced experience of and interest in sentiment analysis, through Text Analysis, NLP or computational linguistics.to systematically identify, extract, quantify, and study subjective information and qualitative data. Proficiency in R and Python, with extensive experience in libraries and frameworks relevant to text analysis and data science. Knowledge of statistical analytical methods, data mining, modelling, and machine learning algorithms especially as applied to qualitative datasets. Exceptional analytical, and problem-solving skills, and the ability to communicate complex data insights clearly and effectively. A strong team player with the ability to work independently and in collaborative settings. Work Timings: 9:30am to 6pm-Monday to Friday Location: Lucknow office Job Type: Full-time Pay: ₹20,000.00 - ₹40,000.00 per month Schedule: Monday to Friday Work Location: In person

We are seeking a detail-oriented and creative Data Scientist to join our analytics team. The ideal candidate is passionate about deriving insights from data, building robust machine learning models, and helping the business make data-driven decisions. You will work closely with cross-functional teams including product, engineering, and business strategy. Key Responsibilities Analyze large volumes of structured and unstructured data to uncover insights and trends. Design, build, and validate predictive models and machine learning algorithms. Collaborate with stakeholders to define business problems and translate them into analytical solutions. Use statistical tools and techniques (e.g., regression, clustering, classification) to inform decisions. Communicate findings through effective data visualizations and presentations. Maintain and enhance existing data pipelines and model performance. Assist in deploying models into production using APIs or cloud services. Stay updated with the latest trends and technologies in data science and machine learning. Job Types: Full-time, Permanent Pay: Up to ₹60,000.00 per month Benefits: Internet reimbursement Paid sick time Schedule: Day shift Monday to Friday Rotational shift Supplemental Pay: Overtime pay Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Language: English (Required) Location: Bangalore, Karnataka (Required) Work Location: In person

Company Details: Third Eye Info Technology With over 23 years of experience, Third Eye Info Technology delivers cutting-edge software solutions that drive growth and efficiency. Our expertise spans custom software development, AI, machine learning, blockchain, IoT, big data, and business development. We craft tailored solutions to address modern challenges, optimize processes, and unlock new opportunities. By leveraging innovation and the latest technology, we empower businesses to stay ahead in an ever-evolving digital landscape https://thirdeyeinfotech.com/ Job Description: Looking for fresher candidate Qualification : BCOM, MBA Marketing Requirement: Skills & Qualifications: Good communication and interpersonal skills Ready to travel in Chennai Need driving license Need to visit hardware shops, potential customer in logistics Need to visit real estate and other B2B companies Excellent organizational and project management skills Ability to work independently and as part of a team Experience in event planning and execution Job Types: Full-time, Permanent, Fresher Pay: ₹12,000.00 - ₹20,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Commission pay Work Location: In person Expected Start Date: 01/07/2025

NOTE- Location-WORK FROM OFFICE) Kochi, Ernakulam (Candidates applying from outside of Kochi will have to relocate for this job) Please note that this is a teaching profession role for Artificial intelligence, Data Science and Machine learning. Aesthetix Edu-Tech Job details Mentoring and educating degree graduates and working professionals in Artificial intelligence, Data engineering, data Analytics and data Visualization. Guiding them through projects. Candidates from Kerala are preferred and should be able to relocate to Kochi. Job description Join us Aesthetix Edu-Tech to build your career in the booming Educational Industry. Achieve professional success and personal satisfaction by guiding students to build their careers across the world. We are seeking a skilled and experienced Faculty member to join our vibrant team. Responsibilities: Develop and deliver high-quality lectures and course materials covering various aspects of Artificial Intelligence, including machine learning, deep learning, natural language processing and computer vision to fresher students and professionals. Participate in academic advising, student evaluations, and other administrative duties as assigned by the department Create and oversee hands-on projects and assignments that allow students to apply theoretical concepts to real-world problems. Provide mentorship and guidance to students, helping them navigate their academic and career paths in the field of AI. Collaborate with other faculty members to continuously enhance the curriculum and instructional methods to meet the evolving needs of the industry. Stay abreast of the latest advancements and trends in AI research and industry practices, incorporating relevant updates into the curriculum. Qualifications: Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Prior experience in curriculum development, course design, or educational leadership is preferred but not required. Should possess a strong background in artificial intelligence, including proficiency in programming languages such as Python, machine learning algorithms, deep learning frameworks, and natural language processing. Proven experience in teaching and/or research in Artificial Intelligence, with a strong publication record demonstrating expertise in relevant areas. Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar. Excellent communication and interpersonal skills, with the ability to effectively convey complex concepts to students from diverse backgrounds. Passion for education and mentorship, with a genuine desire to inspire and empower the next generation of AI professionals. Demonstrated ability to work collaboratively in a team environment, fostering a culture of innovation and excellence. Commitment, dedication and punctuality are your benchmarks. An outgoing personality and a pleasing demeanor are icing on the cake! Looking for immediate joining. Fluency in Malayalam and English Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹40,000.00 per month Schedule: Day shift Ability to commute/relocate: Kochi, Kerala: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you interested in Teaching Profession? How many years of Teaching Experience do you have in Artificial Intelligence field? Education: Bachelor's (Required) Experience: Python: 1 year (Required) Data analytics: 1 year (Required) Big data: 1 year (Required) Power BI: 1 year (Required) NumPy: 1 year (Preferred) Gen-AI: 1 year (Required) Work Location: In person

Design, develop & deploy scalable AI/ML models to extract data from documents using Computer Vision & OCR and NLP (BERT, Transformer architecture, text analysis) Required Candidate profile 3-5 years of experience in machine learning, systems engineering , OOP, SE ,Python, Algorithms and data structure. Expertise in Python, PyTorch/TensorFlow, OpenCV etc needed

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to interface with the client for quality assurance issue resolution and ensuring high customer satisfaction You will understand requirements create and review designs validate the architecture and ensure high levels of service offerings to clients in the technology domain You will participate in project estimation provide inputs for solution delivery conduct technical risk planning perform code reviews and unit test plan reviews You will lead and guide your teams towards developing optimized high quality code deliverables continual knowledge management and adherence to the organizational guidelines and processes You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Primary skills Technology DevOps DevOps Architecture Consultancy Technology Finacle Core Payments Positive Pay Services Advance Technology Infrastructure Mainframes Security Technology OpenSystem Python OpenSystem Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities Strong Technical Skills Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving analytical and debugging skills Preferred Skills: Technology->Cloud Security->AWS - Infrastructure Security->AWS WAF,Technology->DevOps->DevOps Architecture Consultancy,Technology->OpenSystem->Python - OpenSystem->Python,Technology->Machine Learning->Responsible AI->ethical ai,Domain->Healthcare->Payer->FACETS,Technology->Healthcare->EDI

Job Description: Strategic Technology Group is a core team within Infosys supported by Power Programmers who are tech polyglots Our team of Power Programmers works on complex projects and builds solutions to solve some of the world s most challenging business problems Introduction We are looking for a passionate and talented Researcher to join Infosys Applied AI research team As an Researcher you will work on architecting building refining and optimizing state of the art Models that drive cutting edge multi modal multi domain understanding and generation capabilities If you have experience building LLM SLM Multimodal models we would love to hear from you Why Join Us Work with an innovative team on cutting edge projects that are pushing the boundaries of artificial intelligence Opportunity to grow professionally and contribute to groundbreaking advancements in NLP and AI Competitive compensation and benefits package Bangalore preferred Flexible work environment with remote work options available Key Responsibilities: Design develop and train transformer based models for multiple modality to support a variety of AI powered applications Experiment with various architectures training techniques and optimization methods to improve the model s understanding and generative capabilities Innovate robust and scalable architectures to accommodate the future requirements Troubleshoot and debug model issues ensuring the models remain robust and adaptable Technical Requirements: We are looking for a passionate and talented Researcher to join Infosys Applied AI research team As an Researcher you will work on architecting building refining and optimizing state of the art Models that drive cutting edge multi modal multi domain understanding and generation capabilities If you have experience building LLM SLM Multimodal models we would love to hear from you Additional Responsibilities: Master s degree or PhD in Computer Science Artificial Intelligence Machine Learning or related fields Ph D preferred Proven experience in training models both text and multi modal models Strong knowledge of transformer architectures and their underlying principles Experience with model pre training finetuning and distributed training One or more scientific publication submissions for conferences journals or public repositories e g ICML ICLR NeurIPS Preferred Skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL

Designs and develops AI-powered chatbots using Kore.AI platform.

Analyze business data and develop actionable insights using SAS for business analytics. Focus on creating reports, dashboards, and visualizations to support decision-making processes and enhance business performance.

Develops AI-driven solutions using NLP and generative AI techniques, enhancing automation and language processing.

Develops data processing solutions using Scala and PySpark.

Develop data processing applications using Python and Pandas. Optimize performance for large-scale data analysis.

Design and implement MLOps pipelines to automate and optimize machine learning workflows. Collaborate with data scientists to ensure efficient deployment, monitoring, and scalability of machine learning models.

Analyze and manage technical aspects of data systems, ensuring accurate data flow and integrity. Work closely with data engineers to support data-driven initiatives.

Implement, configure, and manage Adobe Analytics solutions to track and analyze web traffic and performance metrics. Provide insights on user behavior and recommend strategies for website optimization. Work with marketing and development teams to ensure data collection accuracy, implement tracking codes, and present actionable data insights for business improvement.

Develop big data solutions using Azure Databricks. Optimize data processing and machine learning workflows.

Design, develop, and maintain data pipelines and data management solutions. Ensure efficient data collection, transformation, and storage for analysis and reporting.

- PhD, or Master's degree and 4+ years of quantitative field research experience - Experience investigating the feasibility of applying scientific principles and concepts to business problems and products - Experience analyzing both experimental and observational data sets Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. One of the key focus areas is Traffic Quality where we endeavour to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend. We are looking for talented Research scientists who enjoy working on creative machine learning algorithms and thrive in a fast-paced, fun environment. A Research Scientist is responsible for solving inherently hard problems in advertising fraud detection using deep learning, self-supervised techniques, representation learning and advanced clustering. An ideal candidate should have strong depth and breadth knowledge in machine learning, data mining and statistics. Traffic quality systems process billions of ad-impressions and clicks per day, by leveraging cutting-edge open source technologies like Spark, Redis and Amazon's cloud services like EC2, S3, EMR, DynamoDB and RedShift. The candidate should have reasonable programming and design skills to manipulate unstructured and big data and build prototypes that work on massive datasets. The candidate should be able to apply business knowledge to perform broad data analysis as a precursor to modeling and to provide valuable business intelligence. Knowledge of R, MATLAB, Python or similar scripting language Experience with agile development Experience building web based dashboards using common frameworks Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Develop and maintain applications using Python, focusing on building scalable, efficient systems. Work on web development, data analysis, and automation scripts, integrating Python into various technical stacks.

Analyze large datasets and develop machine learning models to derive actionable insights for businesses. Focus on using statistical techniques, data visualization, and predictive analytics to optimize decision-making.

Develop and optimize data pipelines using Databricks and PySpark. Process large-scale data for analytics and reporting. Implement best practices for ETL and data warehousing.

Develop applications and systems using Python, focusing on automation, data processing, and web applications. You will work on designing scalable and efficient code to meet business needs. Expertise in Python is required.

Develop robust applications and automation solutions using Python. Focus on writing efficient code for web applications, data analysis, and automation, ensuring scalability and performance across platforms.

Design, develop, and maintain data pipelines and databases. Ensure the efficient collection, processing, and storage of large datasets, enabling data analysis and decision-making across organizations.

Develop and implement solutions using Quantexa’s network analytics platform. Build data models and algorithms to identify connections and insights for improving business decision-making.