artificial

<div>
 
 Introduction
 
 
 
 Hiring manager and Recruiter should collaborate to create the relevant verbiage.
 
 
 
 Your Role And Responsibilities
 
 
 
 Hiring manager and Recruiter should collaborate to create the relevant verbiage.
 
 
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
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 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
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 Experience and working knowledge in COBOL &amp; JAVA would be preferred
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 Having experience in Code generation, code matching &amp; code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. .
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 Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
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 Demonstrate a growth mindset to understand clients' business processes and challenges
 
 
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 Preferred Technical And Professional Experience
 
 
 
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 Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
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 Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
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 Ability to communicate results to technical and non-technical audiences
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 </ul>
</div>

Data Scientist-Artificial Intelligence

COGNNA

<div>
 As an
 
 AI Engineer at COGNNA
 
 , you will be at the forefront of developing cutting-edge AI solutions that enhance our cybersecurity products. You will join our AI &amp; ML team and collaborate with top-class engineers and data scientists to design, implement, and optimize machine learning algorithms that analyze and mitigate threats in real time.
 
 
 
 Key Responsibilities
 
 
 
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 Develop and implement machine learning and deep learning algorithms to improve our threat detection capabilities
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 Work with large datasets to train and validate models while ensuring the accuracy and performance of the AI systems
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 Collaborate with cross-functional teams to integrate AI solutions into our existing products
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 Research and stay updated with the latest trends and advancements in AI technologies
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 Design, test, and deploy AI models using appropriate frameworks and tools
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 Monitor and evaluate the performance of AI systems, implementing improvements as necessary
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 Document processes, algorithms, and model performance for future reference and compliance
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 Mentor junior AI engineers and contribute to team knowledge sharing
 
 
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 </ul>
 
 
 Why Join Us?
 
 
 
 
 Joining COGNNA means being part of a visionary team dedicated to solving some of today's biggest cybersecurity challenges. We encourage innovation, value contributions, and provide numerous opportunities for personal and professional growth.
 
 
 
 Ready to amplify your AI engineering skills? Apply today and help us safeguard the digital world!
 
 
 
 
 Requirements
 
 
 
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 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
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 3+ years of experience in AI/ML development and deployment
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 Strong proficiency in programming languages such as Python, Java, or R
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 Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn
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 Solid understanding of algorithms, data structures, and statistical analysis
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 Familiarity with neural networks and computer vision concepts
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 Experience with data preprocessing, feature engineering, and model evaluation techniques
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 Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their AI services
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 Proven ability to work collaboratively in a fast-paced environment
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 Excellent problem-solving skills and a passion for innovation
 
 
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 What We Value
 
 
 
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 Curiosity and a willingness to learn about new AI technologies
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 A proactive mindset that embraces challenge and creative problem-solving
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 Strong communication skills to convey complex ideas clearly and effectively
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 </ul>
</div>

AI Engineer

True ValueHub, Inc.

<div>
 
 
 TrueValue Hub
 
 is an AI native B2B SaaS solution for direct material sourcing for manufacturing companies. We help manufacturing companies save cost on their direct material procurement, reduce sourcing cycle time, and new product introduction time to market. We provide detailed cost insights of custom design parts for buyers and suppliers, a secure collaboration platform, and a marketplace to collaborate on cost. We have a working product and are currently piloting the product with a few select large enterprise clients.
 
 
 
 
 
 We seek experienced
 
 AI/ML Engineers
 
 with expertise in developing AI/ML solutions to join our engineering team. We are looking for a candidate who is passionate about artificial intelligence, machine learning, and computational statistics. This role involves designing and implementing algorithms and models.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Machine Learning Model Development:
 
 
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 Write clean, efficient, and maintainable code in Python.
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 Develop, and deploy machine learning models that address real-world business challenges.
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 This includes data preprocessing, feature engineering, model selection, and hyperparameter tuning.
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 Collaborate with senior data scientists and developers to integrate machine learning algorithms into applications, train and test ML models, and manage the required datasets.
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 Data Pipelines:
 
 
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 Create and maintain data pipelines for efficient data processing and model training.
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 Write database queries using SQL to retrieve required data.
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 </ul>
 
 
 
 
 
 Model Evaluation:
 
 
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 Assist in debugging, testing, and improving applications.
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 Rigorous testing and validation procedures to assess model performance
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 </ul>
 
 
 
 
 
 Qualifications:
 
 
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 Minimum of 3+ years of experience in AI/ML developing advanced solutions.
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 Bachelor&rsquo;s degree in engineering or a related field. Master's degree is a plus.
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 Proficiency in programming languages like Python, R, C++, or similar,
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 Proficiency in using machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
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 Strong understanding of statistical analysis and data preprocessing techniques.
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 Solid knowledge of deep learning, natural language processing, and computer vision.
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 Experience in manufacturing and supply chain a plus.
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 Excellent analytical and problem-solving skills with the ability to interpret complex cost data and identify cost drivers.
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 Good communication and interpersonal skills, with the ability to present cost analysis findings and recommendations to stakeholders.
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 Strong attention to detail, organization, and time management skills
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</div>

AI/ML Engineer

Mindrift

<div>
 
 
 This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.
 
 
 
 
 At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
 
 
 
 What We Do
 
 
 
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 
 
 
 About The Role
 
 
 
 We are looking for a sharp, structured, and intellectually curious business analyst who can dive into a specific industry or problem area and extract a clear, structured understanding of its processes, roles, and task landscape. Your mission: help us reverse-engineer how work is done in a particular domain - who does what, what decisions are made, what edge cases exist, and how workflows are structured. Your output will be used to build high-quality evaluation tasks and agent simulations.
 
 
 Although every project is unique, you might typically:
 
 
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 Analyze how a procurement department handles vendor onboarding, and list all key steps, documents, decisions, and failure points
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 Research the typical day of a customer support agent in fintech and structure it into reproducible tasks
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 Create a list of evaluation scenarios based on how HR departments handle leave requests, performance reviews, and conflict resolution
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 Interview an industry SME (or use online materials) to produce a structured map of compliance workflows in healthcare
 
 
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 How To Get Started
 
 
 
 Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.
 
 
 
 Requirements
 
 
 
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 You have a Bachelor's Degree, Master's Degree or PhD in Business Administration, Information Systems or Analytics, Computer Science, Engineering or in relevant area is required
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 You have a 3 years of professional experience ideally as analyst or in a relevant fields
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 Your level of English is advanced (C1) or above.
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 You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
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 Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge
 
 
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 Benefits
 
 
 
 
 Why this freelance opportunity might be a great fit for you?
 
 
 
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 Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
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 Work on advanced AI projects and gain valuable experience that enhances your portfolio
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 Influence how future AI models understand and communicate in your field of expertise
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</div>

Freelance Business Analyst - AI Trainer

Cognizant

<div>
 
 
 Job Role: AI Research Scientist
 
 
 
 
 Experience: 10+ years
 
 
 
 
 Location: Bangalore, India
 
 
 
 
 
 
 
 About CAIL:
 
 
 
 The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab&rsquo;s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro&reg; AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life.
 
 
 
 
 
 
 
 
 
 About the role:
 
 
 
 
 
 
 
 We are seeking a passionate and driven AI Research Scientist to join our Advanced AI R&amp;D lab team in India. You will work with the Advanced AI Labs research team to develop novel approaches to solving fundamental scientific problems and challenges from real-world applications, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. As an AI Research Scientist, you will focus on advancing the state-of-the-art AI with emphasis on Generative AI, LLMs, and domain specific AI solutions. You will collaborate with other researchers, engineers, business stakeholders, architects, and domain experts to translate research breakthroughs into scalable products and solutions.
 
 
 
 
 
 
 Detailed Job Description:
 
 
 
 
 
 
 
 Your role:
 
 
 
 As a research scientist, you will work with the Advanced AI Labs research team to understand and push the frontiers of AI, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. The team's current research is focused around areas including, but not limited to:
 
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 Multi-agent systems
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 AI for decision-making
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 AI orchestration
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 Trustworthy AI
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 Open-ended AI
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 LLMs
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 Evolutionary computation
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 Key Responsibilities:
 
 
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 Conduct advanced research in AI/ML, Generative AI, LLMs, and adjacent fields to solve complex and impactful business and societal problems (AI-for-Good).
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 Design, develop, and optimize models and algorithms involving novel architecture and training methodologies and advance AI capabilities.
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 Publish research findings in top-tier peer-reviewed journals and conferences, e.g., IEEE
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 Collaborate cross-functionally with product teams, AI engineers, domain SMEs, and client teams to transition research prototypes into production ready solutions
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 Contribute to open-source communities through active GitHub engagement
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 Stay abreast of the latest developments
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 Mentor junior researchers and engineers
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 Advise AI engineers on the development of practical applications
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 </ul>
 
 
 Your Profile:
 
 
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 PhD in Computer Science or another technical field. Exceptional bachelor&rsquo;s or master&rsquo;s degree candidates will also be considered.
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 The ideal candidate will have theoretical and hands-on experience with LLMs.
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 2 years of experience with multi-agents
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 5+ years of experience in AI or ML research
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 Publications at venues such as IEEE, ICLR, NeurIPS, GECCO, ALife, AAAI, IJCAI, ICML, etc.
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 Strong implementation skills
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 Strong development and debugging skills in Python
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 Experience with AI framework such as PyTorch, TensorFlow, LangChain, Keras, Scikit-Learn
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 Strong problem-solving and analytic skills
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 Strong attention to detail and ability to work independently
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 Excellent verbal and written communication skills
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 Strong publication record in top-tier conferences, workshops or journals.
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 </ul>
 
 
</div>

AI Research Scientist

CirrusLabs

<div>
 
 Experience : 8+ Years
 
 
 
 Mandatory skills: Python, Gen AI, traditional ML, core Data scientist, ML Ops, Agentic AI
 
 
 
 
 
 
 
 Position Overview
 
 
 
 We are seeking an experienced AI Architect to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications.
 
 
 
 Key Responsibilities
 
 
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 AI/ML Development &amp; Data Science:
 
 Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments
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 Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design
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 Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation
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 Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities
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 Conduct advanced data analysis, statistical modeling, A/B testing, and predictive analytics using both classical and modern techniques
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 Research and prototype cutting-edge generative AI solutions
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 Traditional ML &amp; Statistics:
 
 Implement classical machine learning algorithms including linear/logistic regression, decision trees, random forests, SVM, clustering, and ensemble methods
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 Perform feature engineering, selection, and dimensionality reduction techniques
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 Conduct statistical inference, confidence intervals, and significance testing
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 Design and analyze controlled experiments and observational studies
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 Apply Bayesian methods and probabilistic modeling approaches
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 Full Stack Development:
 
 Develop scalable front-end applications using modern frameworks (React, Vue.js, Angular)
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 Build robust backend services and APIs using Python, Node.js, or similar technologies
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 Design and implement database solutions (SQL/NoSQL) optimized for ML workloads
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 Create intuitive user interfaces for AI-powered applications and statistical dashboards
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 MLOps &amp; Infrastructure:
 
 Establish and maintain ML pipelines for model training, validation, and deployment
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 Implement CI/CD workflows for ML models using tools like MLflow, Kubeflow, or similar
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 Monitor model performance, drift detection, and automated retraining systems
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 Deploy and scale ML solutions using cloud platforms (AWS, GCP, Azure)
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 Containerize applications using Docker and orchestrate with Kubernetes
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 Collaboration &amp; Leadership:
 
 Work closely with data scientists, product managers, and engineering teams
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 Mentor junior engineers and contribute to technical decision-making
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 Participate in code reviews and maintain high development standards
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 Stay current with latest AI/ML trends and technologies
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 </ul>
 
 
 Required Qualifications
 
 
 <ul>
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 Experience &amp; Education:
 
 7-8 years of professional software development experience
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 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field
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 6+ years of hands-on AI/ML experience in production environments
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 Technical Skills:Programming:
 
 Expert proficiency in Python, strong experience with JavaScript/TypeScript, R is a plus
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 Traditional ML:
 
 Scikit-learn, XGBoost, LightGBM, classical algorithms and ensemble methods
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 Statistics:
 
 Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference
 </li>
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 Statistical Tools:
 
 Experience with R, SAS, SPSS, or similar statistical software packages
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 Deep Learning:
 
 TensorFlow, PyTorch, neural networks, computer vision, NLP
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 LLM Experience:
 
 Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and prompt engineering
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 RAG Implementation:
 
 Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic search
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 Data Science:
 
 Pandas, NumPy, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineering
 </li>
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 Full Stack:
 
 React/Vue.js, Node.js/FastAPI, REST/GraphQL APIs
 </li>
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 Databases:
 
 PostgreSQL, MongoDB, Redis, vector databases
 </li>
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 MLOps:
 
 Docker, Kubernetes, CI/CD, model versioning, monitoring tools
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 Cloud Platforms:
 
 AWS/GCP/Azure, serverless architectures
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 Soft Skills:
 
 Strong problem-solving and analytical thinking
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 Excellent communication and collaboration abilities
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 Self-motivated with ability to work in fast-paced environments
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 Experience with agile development methodologies
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 Preferred Qualifications
 
 Experience with causal inference methods and econometric techniques
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 Knowledge of distributed computing frameworks (Spark, Dask)
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 Experience with edge AI and model optimization techniques
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 Publications in AI/ML/Statistics conferences or journals
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 Open source contributions to ML/statistical projects
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 Experience with advanced statistical modeling and multivariate analysis
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 Familiarity with operations research and optimization techniques
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 </ul>
 
 
</div>

Data Scientist

LTIMindtree

<div>
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 We are seeking a talented AI Engineer with a strong background in signal processing vibration analysis and acoustic noise control. The ideal candidate will have experience in deploying AI solutions on edge and IoT devices. This role will involve designing, developing, and implementing AI algorithms to process and analyse various signal types and control noise in real-time applications. Experience with Generative AI and Predictive Analytics, particularly within the Oil, Gas (OG), and Manufacturing sectors, is a plus.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
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 Develop and implement AI algorithms for signal processing, vibration analysis, and acoustic noise control.
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 Design and deploy AI models on edge and IoT devices.
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 Collaborate with cross-functional teams to integrate AI solutions into existing systems and products.
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 Perform data analysis and interpretation to improve and optimize AI models.
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 Work on real-time data processing and ensure efficient deployment on resource-constrained devices.
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 Conduct research and stay updated on the latest advancements in AI, signal processing, noise control, Generative AI, and Predictive Analytics.
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 Troubleshoot and resolve issues related to AI models and deployment on edge devices.
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 </ul>
 
 
 
 
 Designing, building, and training machine learning algorithms and models, including choosing appropriate frameworks like TensorFlow or PyTorch.
 
 
 
 
 
 Location: Anywhere India
 
</div>

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38 artificial jobs IN Mangaluru

Data Scientist-Artificial Intelligence

AI Engineer

AI/ML Engineer

Freelance Business Analyst - AI Trainer

AI Research Scientist

Data Scientist

Data Scientist