802 Neural Networks Jobs - Page 17

Job Title - S&C GN - Data Science Manager Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. As a manager , you will play a crucial role in stakeholder engagement, client communication, and business development . You will be responsible for translating complex AI/ML insights into actionable business strategies and presenting them to senior leadership and clients. Your role will involve collaborating with cross-functional teams, understanding client pain points, and driving data-driven solutions . Additionally, you will lead client presentations, proposal development, and business growth initiatives , ensuring seamless execution of AI/ML projects while identifying new opportunities for innovation and expansion. Strong interpersonal and negotiation skills will be key to driving successful partnerships and long-term business impact . About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 6+ years of relevant experience, OR Masters degree with 8+ years of experience, OR Bachelors degree with 11+ years of experience

Responsibilities : - Work experience of 3+ years with Deep Learning and Neural networks. - Researching new models and machine learning algorithms. - Designing prototypes and conducting experiments to guide engineering efforts. - Creating ML applications based on client/customer requirements. - Tell business stories through model outcomes and data. - Analyzing test results to improve models. - Exploring and visualizing data to identify potential issues that might affect model performance. - Preparing data sets from various sources (APIs, databases, text files, etc.) for algorithm use. - Production deployment and maintenance of ML Systems. Skills required for this position include : - Advanced math and stats skills (calculus, linear algebra, Bayesian statistics). - A degree in a related field (math, computer science, statistics). - Strong teamwork, problem-solving, and analytical abilities. - Knowledge of data science. - Proficiency in coding and programming languages (Python, SQL). - Practical experience with ML frameworks and libraries. - Knowledge of software architecture, data modeling, and data structures. - Knowledge of running ML algorithms on cloud platforms (AWS, AZURE, Google cloud).

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing deep learning and neural network models, and working on chatbots and image processing using machine learning techniques. Roles & Responsibilities:- Develop and deploy AI models using machine learning techniques such as deep learning, neural networks, and chatbots.- Collaborate with cross-functional teams to develop and implement AI solutions that meet business requirements.- Apply GenAI models as part of the solution and ensure proper cloud or on-prem application pipeline with production-ready quality.- Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage.- Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Professional & Technical Skills: - Must To Have Skills: Strong experience in Machine Learning.- Good To Have Skills: Experience with deep learning, neural networks, chatbots, and image processing.- Experience with Cloud AI services and tools.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools.- Experience in developing and deploying AI models in a production environment. Additional Information:- The candidate should have a minimum of 5 years of experience in Machine Learning.- The ideal candidate will possess a strong educational background in AI/ML Computational Science, Data & AI, or a related field, along with a proven track record of delivering impactful data-driven solutions.- This position is based at our Mumbai office. Qualification BE

Title Gen AI Developer Mandatory Skills Python, Deep Learning, LLM, Langchain, RAG and Gen AI. Preferred Skills GCP/Any cloud. Mandatory Skills: AI Cognitive. Experience3-5 Years.

We are looking for an expert in machine learning to help us extract value from our Electromyography [EMG] data You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field Qualifications:- Knowledge of ML-AI tools is mandatory, and- Bachelor's Degree in Engineering or equivalent education or job experience Skills, Abilities, Competencies Required: Must have excellent interpersonal and communication skills (verbal and written) Willingness to work flexible hours as needed Be able to follow detailed procedures and ensure accuracy and quality in documentation and data Must have the ability to adapt to changing pace within the company, with frequent interruptions Must demonstrate flexibility and willingness to adapt to diverse roles as a member of the core team Willingness to learn needed skills on the job in order to enhance performance Proficient in using Google Workspace

BITSTEK CONSULTING is looking for AI Intern to join our dynamic team and embark on a rewarding career journey Assist in developing AI models and algorithms. Conduct data preprocessing and analysis. Support AI project planning and execution. Collaborate with AI engineers and researchers on projects. Learn and apply AI techniques under supervision.

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning

Job Summary What you need to know about the role- Data scientists are highly motivated team players with strong analytical skills who specialize in creating, driving and executing initiatives to mitigate fraud on PayPal s platform and improve the experience for PayPal s hundreds of millions of customers, while guaranteeing compliance with regulations. Meet our team Data scientists in the Fraud Risk team are problem solvers suited to approach varied challenges in complex big data environments. Our core goals are to enable seamless and delightful experiences to our customers, while preventing threat actors from accessing customers financial instruments and personal information. As part of our day-to-day job, we are collaborating with a wide variety of partners product owners, data scientists, security experts, legal consults, and engineers, to bring our data science insights to life, impacting the experience and security of millions of customers around the globe. Job Description Your way to impact Data scientists deeply understand PayPal s business objectives, as their impact on PayPal s top and bottom lines is immense. As a data scientist, you will develop key AIML capabilities, tools, and insights with the aim of adapting PayPal s advanced proprietary fraud prevention and experience mechanisms and enabling growth. Your day to day Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. What do you need to bring- Strong proficiency in Python for data analysis, machine learning, and automation. Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures). Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions. Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar. Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows. Ability to work cross-functionally with engineering, product, compliance, and operations teams. Proven track record of translating complex ML insights into business actions or policy decisions. BS/BA degree with 3+ years of related professional experience or master s degree with 1+ years of related experience. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

About Us:. Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.. Job Summary:. We are seeking an innovative and highly skilled AI Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment.. Key Responsibilities:. Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments.. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate.. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.).. Integrate NLP techniques and transformer architectures to boost customer’s product capabilities.. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements.. Write clean, efficient Python code while adhering to best practices in code quality and documentation.. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members.. Required Skills and Qualifications:. Strong programming proficiency in Python for AI/ML projects.. Hands-on experience with LLM frameworks such as LangChain or Haystack.. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate).. Deep understanding of NLP fundamentals and transformer models.. Demonstrated experience with both commercial and open-source LLMs.. Expertise in prompt engineering and embeddings.. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration.. Preferred Qualifications:. Experience deploying GenAI applications at scale in production environments.. Background in designing customer-facing AI solutions.. Prior experience collaborating in hybrid or distributed teams.. Show more Show less

BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.. Your Opportunit. yJoin our network as a Computer Vision Engineer and help startups build AI systems that understand, analyze, and act on visual data. From object detection and facial recognition to medical imaging and video analytics, you'll work on real-world use cases that require state-of-the-art computer vision solutions. . Role Overvi. ewAs a Computer Vision Engineer, you wil. l:Design, train, and deploy computer vision models for specific business applicatio. nsWork with image, video, or 3D data to extract insights and automate workflo. wsCollaborate with teams to integrate CV models into scalable produc. ts. What You’ll. DoBuild and fine-tune models for classification, detection, segmentation, tracking, or. OCRUse libraries like OpenCV, PyTorch, TensorFlow, Detectron2, or Y. OLOPreprocess and augment datasets to improve model robustn. essDeploy models using APIs, edge devices, or cloud-based inference to. olsMonitor performance and continuously optimize for accuracy and sp. eed. Technical Requirem. ents3+ years of experience in computer vision or deep lear. ningProficient in Python and frameworks like PyTorch, TensorFlow, or K. erasExperience with OpenCV, scikit-image, and image/video processing pipel. inesFamiliarity with model deployment using ONNX, TensorRT, or cloud serv. icesBonus: experience with real-time CV, synthetic data, or 3D vi. sion. What We’re Lookin. g ForA hands-on developer who can take vision-based problems from idea to produ. ctionA freelancer who enjoys working with data-rich products and diverse use. casesSomeone who can collaborate with both technical and product teams to deliver real i. mpact. Why J. oin UsWork on challenging computer vision projects across indu. striesFully remote and flexible freelance opportu. nitiesGet matched with future roles in CV, AI, and edge depl. oymentJoin a growing network solving real-world problems with intelligent vision s. ystems. Ready to bring vision to life? Apply now to become a Computer Vision Engineer with. BeGig.. Show more Show less

Commitment: 10-20 hours/week for 1–2 months (with potential extension).. Compensation: Among the highest in the industry, aligned with experience and expertise.. Who should apply. We are not looking for general translators, freelancers, or content writers. We are looking for the top 1% of academic and cultural experts who meet all the following:. Native fluency in one or more of the following (reading and writing):. Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Tamil, Telugu, or Punjabi. Strong command of English (for prompt interpretation and evaluation). Deep academic or research expertise in History or Literature & Linguistics. PhD, MPhil, or Master’s degree is preferred, but credible, extensive experience in the field is also valued.. Passion for precision, language, and cultural nuance. Based in the respective state/region where the language is natively spoken. Comfortable using AI tools like ChatGPT, Claude, Gemini, etc.. Your Role? Challenge and Teach AI Models to Understand the Depth of Indian History and Literature in Your Language. Design advanced, historically and culturally rooted prompts in your regional language that challenge state-of-the-art AI models. Evaluate model outputs for factual accuracy, literary nuance, historical context, tone, and regional relevance. Identify blind spots and weaknesses in current AI understanding within your domain. Collaborate with an international team shaping how AI understands Indian languages, history, literature, and knowledge systems. This is not a translation or content-writing gig. We're seeking true experts to shape the next generation of language models.. Show more Show less

Summary. The Machine Learning Engineer position focuses on developing machine learning models to solve real-world business challenges in a global industrial context. The primary goal is to support the AI team's efforts in creating innovative solutions for various applications across multiple industries.. Main Responsibilities. As a Machine Learning Engineer, your core duties will include:. Develop, train, test, and deploy machine learning models in areas such as computer vision, LLMs, and time series data.. Experiment with deep learning technologies, including self-supervised learning and generative AI.. Set up MLOps infrastructure for AI products.. Work with customer data to establish data pipelines for collection and transformation.. Collaborate with cross-functional teams to extend and build new AI products.. Analyze and interpret large datasets using advanced AI techniques.. Key Requirements. Bachelor or Master’s Degree in Data Science, Computational Statistics/Mathematics, Computer Science, or related field.. Basic understanding of neural networks and practical experience with deep learning frameworks like PyTorch and TensorFlow.. Experience in backend and API development using Python (e.g., FastAPI, Flask).. Knowledge of Object Oriented Programming, design patterns, algorithms, and version control systems (e.g., Git).. Nice to Have. Basic experience with cloud platforms (e.g., Azure), Docker, and Kubernetes.. Fluency in English.. Other Details. Location: Bengaluru, India. Team: Artificial Intelligence team, part of a global division.. Show more Show less

Minimum qualifications:. Bachelor’s degree or equivalent practical experience.. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.. 2 years of experience with data structures or algorithms.. 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).. Preferred qualifications:. Master's degree or PhD in Computer Science or related technical fields.. Experience developing accessible technologies.. About The Job. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Write product or system development code.. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.. Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Commitment: 10-20 hours/week for 1–2 months (with potential extension).. Compensation: Among the highest in the industry, aligned with experience and expertise.. Who should apply. We are not looking for general translators, freelancers, or content writers. We are looking for the top 1% of academic and cultural experts who meet all the following:. Native fluency in one or more of the following (reading and writing):. Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Tamil, Telugu, or Punjabi. Strong command of English (for prompt interpretation and evaluation). Deep academic or research expertise in History or Literature & Linguistics. PhD, MPhil, or Master’s degree is preferred, but credible, extensive experience in the field is also valued.. Passion for precision, language, and cultural nuance. Based in the respective state/region where the language is natively spoken. Comfortable using AI tools like ChatGPT, Claude, Gemini, etc.. Your Role? Challenge and Teach AI Models to Understand the Depth of Indian History and Literature in Your Language. Design advanced, historically and culturally rooted prompts in your regional language that challenge state-of-the-art AI models. Evaluate model outputs for factual accuracy, literary nuance, historical context, tone, and regional relevance. Identify blind spots and weaknesses in current AI understanding within your domain. Collaborate with an international team shaping how AI understands Indian languages, history, literature, and knowledge systems. This is not a translation or content-writing gig. We're seeking true experts to shape the next generation of language models.. Show more Show less

JIDOKA SYSTEMS PRIVATE LIMITED is looking for Data Science Engineers to join our dynamic team and embark on a rewarding career journey Data Exploration and Preparation:Explore and analyze large datasets to understand patterns and trends Prepare and clean datasets for analysis and model development Feature Engineering:Engineer features from raw data to enhance the performance of machine learning models Collaborate with data scientists to identify relevant features for model training Model Development:Design and implement machine learning models to solve business problems Work on both traditional statistical models and modern machine learning algorithms Scalable Data Pipelines:Develop scalable and efficient data pipelines for processing and transforming data Utilize technologies like Apache Spark for large-scale data processing Model Deployment:Deploy machine learning models into production environments Collaborate with DevOps teams to integrate models into existing systems Performance Optimization:Optimize the performance of data pipelines and machine learning models Fine-tune models for accuracy, efficiency, and scalability Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders Communicate technical concepts and findings to non-technical audiences Continuous Learning:Stay current with advancements in data science and engineering Implement new technologies and methodologies to improve data engineering processes

Role & responsibilities Lead the development and implementation of advanced analytical models and algorithms to support decision-making processes. Utilize statistical analysis and machine learning techniques to extract insights from large and complex datasets. Collaborate with business stakeholders to understand their needs and requirements, and translate them into actionable analytical solutions. Design and conduct experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions. Mentor and coach junior members of the team, providing guidance on technical skills and professional development. Communicate findings and recommendations to stakeholders through data visualization, reports, and presentations. Stay current with the latest advancements in data science, machine learning, and technology trends, and evaluate their potential impact on the business. Preferred candidate profile 5-8 years of experience in data analysis, statistical modelling, and machine learning, with a proven track record of delivering actionable insights and solutions. Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries. Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design. Experience working with cloud technologies (especially Azure) is preferred. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes.

Develop and deploy advanced AI solutions using the latest Generative AI techniques including: - Retrieval-Augmented Generation (RAG) pipelines. - Designing and building Agentic AI systems to automate complex decision-making workflows. - Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D . And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. About the Role Love deep data. Love discussing solutions instead of problems. Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift.

Dear Candidate, We are hiring a Data Science Engineer to build production-ready data science pipelines and models. Ideal for professionals who blend software engineering with applied ML skills. Key Responsibilities: Design and develop ML pipelines for training, evaluation, and deployment Engineer data preprocessing and feature extraction systems Integrate models into applications and monitor post-deployment performance Collaborate with data scientists, engineers, and product teams Required Skills & Qualifications: Proficiency in Python, pandas, scikit-learn, and MLflow Experience with Spark, Airflow, or cloud ML pipelines Strong grasp of statistics, data structures, and ML model optimization Bonus: Exposure to MLOps tools and model versioning frameworks Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

Skill Data Science - AI Data Science - ML Minimum Qualification B.Tech/B.E CERTIFICATION No data available Working Language English Job Description Data Analyst with AI/ML expertise responsible for leveraging advanced data analytics, statistical techniques, and machine learning (ML) methodologies to provide actionable insights, optimize business processes, and support data-driven decision-making. The role requires strong collaboration with IT leadership to align analytics initiatives with organizational goals, as well as mentoring junior team members in data analysis and AI/ML practices

Company: Blubridge Technologies Pvt Ltd Role: Data Scientist - R&D Vacancies: 15 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors or Masters degree in Computer Science, IT, AI, Electronics & Communication, Data Science, etc. Job Location: Mandaveli, Chennai Analyze and preprocess large-scale datasets to ensure data quality and reliability. Develop and implement statistical and machine learning models, including transformer-based algorithms. Conduct exploratory data analysis to derive meaningful insights for research projects. Systematically explore and optimize hyperparameters and scaling laws to enhance model accuracy and efficiency. Collaborate with cross-functional teams to develop and refine experimental workflows. Implement comprehensive data collection strategies, scraping publicly available multi-domain sources for diverse content. Perform advanced preprocessing and deduplication, ensuring data is cleaned, normalized, and consistent. Design and manage rigorous quality assurance pipelines to validate data quality, diversity, and representativeness. Employ innovative multilingual tokenization and document packing techniques for efficient and cohesive context learning. Document methodologies, results, and contribute to research publications. Stay updated on the latest research methodologies, tools, and techniques in data science and AI. Requirements: Strong foundation in mathematics and statistics, including calculus, linear algebra, probability, and statistical inference. Excellent analytical and logical reasoning skills. Bachelors/Masters/PhD in Data Science, Statistics, Computer Science, AI, Machine Learning, or related fields. Added Advantage: Proficiency in Python and familiarity with relevant data science libraries (NumPy, Pandas, SciPy, Matplotlib, Scikit-learn). Good understanding of machine learning concepts and techniques. Demonstrated ability to work effectively within a collaborative research environment. Experience or familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face. Knowledge of distributed computing and optimization for GPU-based environments. Prior research experience or publications in data science or related fields. What We Offer: A dynamic and innovative work environment in a cutting-edge AI research team. Opportunities for professional growth, mentorship, and learning. Competitive salary and benefits. Access to high-performance computing resources for data analysis and modeling. Access to the latest tools and technologies in AI.

Company: Blubridge Technologies Pvt Ltd Role: AI Solutions Architect - R&D Vacancies: 12 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors or Masters degree in Computer Science, IT, AI, Electronics & Communication, Data Science, etc. Job Location: Mandaveli, Chennai Key Responsibilities: Architect scalable transformer-based AI model infrastructures. Collaborate with researchers to translate cutting-edge research into robust, scalable architectures. Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. Develop novel frameworks and algorithms tailored to specific research goals. Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. Provide technical leadership and mentorship on AI infrastructure and architectural decisions. Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: Strong logical reasoning and analytical skills. Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. Excellent problem-solving, analytical, and communication skills. Demonstrated ability to work in a collaborative, fast-paced research-driven environment. What We Offer: A dynamic and innovative work environment in a cutting-edge AI research team. Opportunities for professional growth, mentorship, and learning. Competitive salary and benefits. Hands-on access to state-of-the-art hardware and server systems, such as H200 and RTX6000 Ada. Access to the latest tools and technologies in AI.

ClanX is looking for Senior Machine Learning Engineer - Web3 to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

We re hiring a Senior AI Engineer to lead the development and deployment of cutting-edge AI systems, with a focus on large language models (LLMs), real-time conversational agents, multimodal intelligence, and multilingual capabilities This role bridges deep ML expertise, system design, and hands-on implementation ideal for someone excited to turn AI innovation into real world product impact You ll work across open-source and commercial models, cloud platforms, and global user contexts to shape the future of AI-driven user experiences *** This is a hybrid position - working 3 days a week from our Bangalore office