399 Lstm Jobs - Page 3

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description: Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description: We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications: • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills.

Our Company: A fast-growing start-up headquartered in San Francisco, CA, USA in the heart of Silicon Valley. We recruit worldwide as our customer base is global. Reliable ground transportation provider, any type of vehicle globally. Vision: Reliable ground transportation services globally with all types of vehicles. Mission: Empower high-quality local fleets Corporate Culture: team first Partner-centric Team collaboration, Never "not my job", end-to-end ownership, Continuous learning and improvement, Hard-working and pragmatic, Don’t be a middleman, Result-driven Job title: Sr Machine Learning Engineer Job description Develop and implement machine learning models using Python, SQL, and other relevant tools. Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques to business problems. Conduct research and experimentation to explore new machine learning approaches and technologies. Optimize existing machine learning models for improved performance and efficiency. Provide technical leadership and mentorship to junior members of the team. Job requirements Strong background in machine learning, natural language processing, artificial intelligence, predictive modeling, statistical modeling. In-depth knowledge of reinforcement learning algorithms (e.g., DQN, PPO, Actor-Critic) with hands-on project experience. Proven experience in time series forecasting methods (e.g., ARIMA, LSTM, Prophet) and their practical application Proficient in Python, SQL, and other relevant programming languages. Familiarity with cloud computing platforms such as AWS or Azure is a plus. Ability to work collaboratively in a dynamic environment and communicate effectively with stakeholders at all levels of the organization. Bachelor’s or master’s degree in computer science, mathematics, statistics, or related field with a minimum of 5 years of experience Qualifications: Expertise in Python with the ability to write performant production-quality code, familiarity with SQL. Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, CloudFormation, EKS, AWS Security and Networking). Experience with distributed large-scale data processing Basic understanding of the machine Learning project lifecycle. Experience building and scaling machine learning models using large amounts of data Expertise in Python and the ability to write performant production-quality code, familiarity with SQL. It’s great, but not required, if you have Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions

Job Requirements Design, develop, and deploy intelligent AI agents using LLMs (e.g., GPT-4, Claude, Mistral, LLaMA). Integrate AI agents with external tools, APIs, databases, and user interfaces (tool use / function calling). Build autonomous workflows for document processing, knowledge retrieval (RAG), decision making, and user interaction. Develop model/network architecture for computer vision problems. Contribute to all phases of the software development lifecycle. Work with other team members to develop/maintain products. Take ownership of new feature development, bug fixes, and enhancement activities. Mentor and guide junior engineers while promoting knowledge sharing within the team. Communicate effectively with internal and external stakeholders. Work Experience Required Skills (Technical Competency): Strong understanding of ML/DL concepts: CNN, LSTM, FCN, classification, regression and clustering Ability to develop robust DL/ML models in Python, MATLAB etc. Background in cloud infrastructure (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes). Experience with standard DL tools and libraries like TensorFlow, PyTorch, etc. Hands-on experience with LLMs and AI APIs (OpenAI, Anthropic, Meta etc). Deep understanding of prompt engineering, tool use/function calling, agents, and autonomous reasoning. Proficient in Python and modern AI frameworks (LangChain, LlamaIndex etc). Familiarity with vector databases (e.g., FAISS, Pinecone), and embedding models. Analytical, problem solving and debugging skills. Ability to explore/evaluate alternative solutions and/or workarounds. Good verbal and oral communication skills in English Desired Skills: C++/C#/.Net programming skills are desirable. Experience in building process and tools. Experience of version control tools. Experience in scripting. Experience in using bug tracking tools.

About Position: We are looking for a Principal Solutions Consultant (AI/GenAI) with 15+ years of experience to lead the design and delivery of advanced AI solutions across BFSI and Healthcare domains. The ideal candidate will bring deep expertise in Generative AI, cloud-native architectures, and MLOps, while also playing a key role in client engagement, technical evangelism, and business development. Role: Principal Solutions Consultant (AI/GenAI) Job Location: Pune Experience: 15 Years of Experience Job Type: Full Time Employment What You'll Do: Solution Design & Implementation: Design and develop AI-powered solutions tailored to the industry, leveraging LLMs, predictive analytics and automation. Come up with architecture that support large-scale model deployment, automation of ML workflows, and real-time data processing using cloud-native technologies (AWS, Azure, GCP). Spearhead the development and implementation of Generative AI solutions for diverse applications such as text to query, search and summarization, chatbot, autonomous agents. Ensure responsible AI deployment with a focus on ethics, bias reduction, and compliance. Leverage AI to extract actionable insights from consumer behavior, market trends, and operational data. Enable AI-powered customer experiences, including chatbots, recommendation engines, and predictive analytics. Technical Leadership: Act as a technical authority, providing deep insights and guidance to the team while demonstrating advanced knowledge of our solutions and industry trends. Develop and execute the technical pre-sales strategy, aligning it with broader business objectives and contributing to revenue growth. Participate in early-stage conversations with critical clients, understanding their needs and contributing to solution development, ensuring alignment with client requirements. Collaborate with internal teams to design and create innovative, scalable AI solutions aligned with clients’ requirements, leveraging in-depth technical knowledge. Evangelism & Enablement: Keeping abreast with latest developments in the industry and competitors’ offerings; evaluating and recommending new and emerging AI/GenAI architectures/patterns, technologies, and standards. Serve as a technical advisor to clients, educating them on the benefits of our solutions; guiding them on best practices in architecture, platform selection, and the end-to-end deployment of ML/AI solutions. Develop and deliver workshops, webinars, and technical presentations. Create white papers, case studies and reusable artifacts to showcase our company’s AI/GenAI value proposition. Business Development Support: Create/own different point-of-view documents for industries and practice areas, case studies, white papers, and other sales collaterals, and assist sales in pitch evangelism. Assist and collaborate with sales and pre-sales teams to provide technical guidance, deliver compelling presentations and lead the creation of comprehensive proposals, RFP responses, and technical documentation, ensuring client alignment and adherence to industry best practices. Present capabilities and proposals to clients to support the sales cycle. Articulate the technical aspects of our solutions, addressing client queries with clarity and confidence. Identify upsell and cross-sell opportunities within existing accounts by showcasing AI/ GenAI potential for extended use cases. Expertise You'll Bring: 15+ years in Data Science, AI, and ML, with a strong focus on production-scale environments and AI/ML platform development with recent experience in Generative AI technologies. Strong analytical skills with proficiency in the application of statistical analysis and machine learning algorithms like Linear Regression, Logistic Regression, Random Forest, Boosting Trees, SVM, ARIMAX, LSTM, Deep Learning etc. Strong experience in AI/ML frameworks (TensorFlow, PyTorch, Keras), MLOps practices, and automation tools for continuous model deployment and monitoring. Programming proficiency in Python, R, and experience with containerization technologies (Docker, Kubernetes). Experience solving high business value problems using AI for BFSI/Pharma/HLS. Exceptional communication and presentation skills, capable of explaining technical concepts to non-technical stakeholders. Strong interpersonal skills to foster collaboration with diverse teams. A self-starter with a growth mindset and the ability to adapt in a fast-paced environment. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let’s unleash your full potential at Persistent - persistent.com/careers “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Job Overview: We are seeking an experienced and passionate Data Science Trainer to join our team and deliver comprehensive training programs on Data Science, Machine Learning, Deep Learning, and related technologies. The ideal candidate will have a strong background in data science concepts, practical industry experience, and a proven ability to teach complex topics effectively. This role involves designing and conducting interactive sessions based on our structured syllabus, guiding learners through hands-on projects, and fostering a deep understanding of data-driven problem-solving. Key Responsibilities : Deliver Engaging Training Sessions: Conduct classroom or online sessions on core Data Science topics, including introductions to Data Science vs. Data Analytics vs. AI, project lifecycles, statistical fundamentals, Python programming, data visualization, machine learning algorithms, unsupervised learning, deep learning, natural language processing (NLP), and generative AI. Hands-On Demonstrations and Projects: Lead practical demos using tools like Jupyter, Spyder, Google Colab, and generative AI for exploratory data analysis (EDA), model building, and deployment. Guide participants through case studies such as breast cancer classification, Bangalore housing prices prediction, sales data analysis, and time series forecasting with ARIMA. Curriculum Alignment and Customization: Follow the provided syllabus to cover subtopics like probability distributions, hypothesis testing, regression models (linear, logistic), classifiers (SVM, Decision Trees), ensemble techniques (Random Forests, Gradient Boosting, XGBoost), dimensionality reduction (PCA), clustering (K-Means, DBSCAN), recommendation systems, neural networks (ANN, RNN, LSTM), text preprocessing, word embeddings (Word2Vec), and large language models (LLMs) with transformers. Mentor and Assess Learners: Provide guidance on roles in data science, important learnings, and career paths. Handle Q&A sessions, evaluate participant progress through assignments, cross-validation exercises, and final projects involving model deployment. Incorporate Best Practices : Teach data transformation techniques (scaling, encoding), model validation (K-Fold CV), handling overfitting/underfitting, regularization (Lasso, Ridge), and ethical considerations in AI/ML. Stay Updated and Innovate : Integrate emerging trends like Hugging Face libraries for LLMs and pre-trained models. Collaborate with the team to update the curriculum based on industry advancements. Administrative Duties: Prepare training materials, datasets, and code examples. Track participant engagement and provide feedback for program improvement. Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A PhD is a plus. Certification in Data Science, Machine Learning, or related areas (e.g., from Coursera, edX, or Google) is desirable. Essential Skills and Experience: Technical Expertise: Proficiency in Python programming, including data types, control structures, loops, functions, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, and libraries for NLP (e.g., NLTK, spaCy) and generative AI (e.g., Hugging Face Transformers). Strong knowledge of statistics: central tendency, distributions (normal, skewness, kurtosis), charts (histograms, box plots, scatter plots), probability, hypothesis testing (Z-test, t-test), and confidence intervals. Expertise in Machine Learning: Supervised (regression, classification with metrics like RMSE, R², AUC, confusion matrix), unsupervised (PCA, clustering), ensemble methods (Bagging, Boosting, XGBoost, LightGBM), time series analysis (ARIMA), and recommendation systems (collaborative/content-based filtering). Deep Learning proficiency : Neural networks (perceptrons, backpropagation, activation functions, optimizers), RNNs, LSTMs/GRUs, and language modeling (N-grams, Word2Vec). NLP skills: Text preprocessing (tokenization, stemming, lemmatization), representations (BoW, TF-IDF), sentiment analysis, NER, and applications of pre-trained models. Familiarity with data handling : EDA, cleaning, transformation, partitioning, visualization, and deployment techniques. Teaching and Communication Skills: 3+ years of experience as a trainer, instructor, or mentor in Data Science/ML courses, preferably in academic or corporate settings. Ability to explain complex concepts simply, using real-world use cases (e.g., business problems in mobile/banking). Experience with interactive tools like Google Colab for in-class exercises and AI-assisted learning. Professional Experience: 5+ years in Data Science or related roles, with hands-on project experience in ML model development, deployment, and optimization. Proven track record of working on diverse datasets and case studies, including overfitting mitigation, feature engineering, and hyperparameter tuning (e.g., Grid Search CV). Soft Skills: Excellent presentation and interpersonal skills to engage diverse audiences. Problem-solving mindset with a focus on practical, industry-relevant training. Ability to adapt to learner needs, handle Q&A effectively, and promote collaborative learning. Preferred Qualifications Industry experience in deploying ML models or working with big data tools. Publications, contributions to open-source projects, or speaking engagements in Data Science conferences. Familiarity with ethical AI practices and bias mitigation in models.

ExcelR is seeking experienced AI and Machine Learning trainers to deliver a comprehensive AI and Machine Learning curriculum. The training program will span 40 working days, with daily classes of 5–6 hours, tentatively from August 20, 2025, to October 21, 2025. The role involves teaching theoretical concepts, guiding hands-on projects, and mentoring students on real-world AI/ML applications. Skills Required : Foundational ML: Logistic Regression, SVM, Decision Trees, Ensemble Methods (Bagging, Random Forests), Boosting (Gradient Boosting, AdaBoost, XGBoost, LightGBM), PCA, Clustering (K-means, Hierarchical, DBSCAN), Market Basket Analysis, and Recommendation Systems. Deep Learning: ANN, CNN, RNN, LSTM, GRU, Transformers, GANs, Autoencoders, Diffusion Models (Stable Diffusion), and LLMs (e.g., GPT, BERT). Data Preprocessing: Standardization, normalization, encoding, train-test split, cross-validation, regularization (Lasso, Ridge, ElasticNet), and feature engineering. Generative AI: Text-to-image/audio/video generation, chatbots, sentiment analysis, and Retrieval-Augmented Generation (RAG) with FAISS. Web & Cloud Deployment: Building and deploying RESTful APIs using Flask/FastAPI, cloud computing with AWS (EC2, S3, Lambda) and Azure (Blob, App Services), and Streamlit for project deployment. Mathematics: Calculus, vector algebra, probability. Prompt Engineering: Zero-shot, few-shot, prompt tuning, and designing effective prompts. Case Studies: Hands-on projects (e.g., Bangalore housing prices, Breast cancer classification, Sales dataset). Qualifications : Education: Bachelor’s/Master’s in Computer Science, AI, ML, or related fields. Experience: 3–5 years in Machine Learning, Deep Learning, and Full Stack AI development, with hands-on experience in: Python and libraries like scikit-learn, TensorFlow, Keras, PyTorch. Generative AI (GANs, Diffusion Models, LLMs like GPT-2, LLaMA). Web development (Flask, FastAPI) and cloud deployment (AWS EC2, Azure). Tools like Hugging Face, FAISS, LangChain, and Streamlit. Teaching Skills: Prior teaching/training experience preferred, with the ability to explain complex topics (e.g., attention mechanisms, PCA) to undergraduate students. Certifications: Relevant certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional ML Engineer) are a plus.

Job Overview: We are seeking an experienced and passionate Data Science Trainer to join our team and deliver comprehensive training programs on Data Science, Machine Learning, Deep Learning, and related technologies. The ideal candidate will have a strong background in data science concepts, practical industry experience, and a proven ability to teach complex topics effectively. This role involves designing and conducting interactive sessions based on our structured syllabus, guiding learners through hands-on projects, and fostering a deep understanding of data-driven problem-solving. Key Responsibilities: Deliver Engaging Training Sessions: Conduct classroom or online sessions on core Data Science topics, including introductions to Data Science vs. Data Analytics vs. AI, project lifecycles, statistical fundamentals, Python programming, data visualization, machine learning algorithms, unsupervised learning, deep learning, natural language processing (NLP), and generative AI. Hands-On Demonstrations and Projects: Lead practical demos using tools like Jupyter, Spyder, Google Colab, and generative AI for exploratory data analysis (EDA), model building, and deployment. Guide participants through case studies such as breast cancer classification, Bangalore housing prices prediction, sales data analysis, and time series forecasting with ARIMA. Curriculum Alignment and Customization: Follow the provided syllabus to cover subtopics like probability distributions, hypothesis testing, regression models (linear, logistic), classifiers (SVM, Decision Trees), ensemble techniques (Random Forests, Gradient Boosting, XGBoost), dimensionality reduction (PCA), clustering (K-Means, DBSCAN), recommendation systems, neural networks (ANN, RNN, LSTM), text preprocessing, word embeddings (Word2Vec), and large language models (LLMs) with transformers. Mentor and Assess Learners: Provide guidance on roles in data science, important learnings, and career paths. Handle Q&A sessions, evaluate participant progress through assignments, cross-validation exercises, and final projects involving model deployment. Incorporate Best Practices: Teach data transformation techniques (scaling, encoding), model validation (K-Fold CV), handling overfitting/underfitting, regularization (Lasso, Ridge), and ethical considerations in AI/ML. Stay Updated and Innovate: Integrate emerging trends like Hugging Face libraries for LLMs and pre-trained models. Collaborate with the team to update the curriculum based on industry advancements. Administrative Duties: Prepare training materials, datasets, and code examples. Track participant engagement and provide feedback for program improvement. Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A PhD is a plus. Certification in Data Science, Machine Learning, or related areas (e.g., from Coursera, edX, or Google) is desirable. Essential Skills and Experience: Technical Expertise: Proficiency in Python programming, including data types, control structures, loops, functions, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, and libraries for NLP (e.g., NLTK, spaCy) and generative AI (e.g., Hugging Face Transformers). Strong knowledge of statistics: central tendency, distributions (normal, skewness, kurtosis), charts (histograms, box plots, scatter plots), probability, hypothesis testing (Z-test, t-test), and confidence intervals. Expertise in Machine Learning: Supervised (regression, classification with metrics like RMSE, R², AUC, confusion matrix), unsupervised (PCA, clustering), ensemble methods (Bagging, Boosting, XGBoost, LightGBM), time series analysis (ARIMA), and recommendation systems (collaborative/content-based filtering). Deep Learning proficiency: Neural networks (perceptrons, backpropagation, activation functions, optimizers), RNNs, LSTMs/GRUs, and language modeling (N-grams, Word2Vec). NLP skills: Text preprocessing (tokenization, stemming, lemmatization), representations (BoW, TF-IDF), sentiment analysis, NER, and applications of pre-trained models. Familiarity with data handling: EDA, cleaning, transformation, partitioning, visualization, and deployment techniques. Teaching and Communication Skills: 3+ years of experience as a trainer, instructor, or mentor in Data Science/ML courses, preferably in academic or corporate settings. Ability to explain complex concepts simply, using real-world use cases (e.g., business problems in mobile/banking). Experience with interactive tools like Google Colab for in-class exercises and AI-assisted learning. Professional Experience: 5+ years in Data Science or related roles, with hands-on project experience in ML model development, deployment, and optimization. Proven track record of working on diverse datasets and case studies, including overfitting mitigation, feature engineering, and hyperparameter tuning (e.g., Grid Search CV). Soft Skills: Excellent presentation and interpersonal skills to engage diverse audiences. Problem-solving mindset with a focus on practical, industry-relevant training. Ability to adapt to learner needs, handle Q&A effectively, and promote collaborative learning. Preferred Qualifications Industry experience in deploying ML models or working with big data tools. Publications, contributions to open-source projects, or speaking engagements in Data Science conferences. Familiarity with ethical AI practices and bias mitigation in models.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description: Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description: We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications: • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills.

You are a skilled and experienced Senior Data Scientist with a strong focus on Natural Language Processing (NLP), recommendation engines, and neural search technologies. With over 5 years of relevant experience, you have a proven track record of developing and deploying sophisticated data-driven models and systems. In this role, you will play a critical part in shaping the future of data products and services. Your key skills include holding a BTech/BE degree, proficiency in Python, data structures, and system design. You have experience with NumPy and Pandas, and possess knowledge of neural networks such as CNN, GANs, CGAN, Transformers, RNN, and LSTM. You are adept at fine-tuning embedding models like SBERT and E5, along with experience in fine-tuning and quantizing LLMs using PyTorch/TensorFlow. Your understanding spans across natural language processing (NLP), recommender systems, part-of-speech tagging (POS), and named entity recognition (NER). Additionally, you have skills in forecasting, classification, and regression techniques. As a Senior Data Scientist, your responsibilities include creating Machine Learning (ML) models for various product needs, analyzing client data to comprehend the data and the issues, managing data changes and model performance over time, improving embedding and large language models (LLMs), enhancing retrieval-augmented generation (RAG) pipelines, and developing feedback loops for ML models. If you are ready to take on this challenging role and contribute to the innovative field of data science, we encourage you to reach out to us via email at careers@grazitti.com. You can also visit us at Plot No. 198, Industrial Area Phase II, 134113, Panchkula, Haryana, India.,

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description: Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description: We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications: • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills.

Experience: 10+ years Key Skills: Artificial Intelligence, Generative AI, Traditional AI What will your role look like Design AI solutions using both traditional ML and GenAI approaches based on problem needs Lead end-to-end implementation of ML projects including data preparation, model development, deployment, and monitoring Build GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks (e.g., LangChain, LangGraph) Conduct research and proof-of-concepts to evaluate emerging GenAI models and techniques Guide and mentor junior engineers; review designs, architecture, and code quality Develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, Cohere, etc. Build agentic AI systems involving tool use, memory, and reasoning frameworks Ensure AI models are robust, explainable, and cost-efficient in production Collaborate with stakeholders to understand business goals and translate them into technical solutions Communicate complex AI concepts to both technical and non-technical audiences. This is a strategic role where you will play a key part in shaping our AI offerings, guiding teams, and solving complex problems using both modern and established AI techniques. Why you will love this role Besides a competitive package, an open workspace full of smart and pragmatic team members, with ever-growing opportunities for professional and personal growth Be a part of a learning culture where teamwork and collaboration are encouraged, diversity is valued and excellence, compassion, openness and ownership is rewarded. We would like you to bring along Experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. Experience in classical AI/ML and 2-3 years in GenAI, total 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. 6-7 years in traditional ML/DL, including regression, classification, clustering, NLP, time series forecasting, and deep learning techniques such as feedforward networks, CNNs, RNNs, LSTMs, GRUs, and attention-based models for structured, unstructured, and sequential data 2-3 years in Generative AI (LLMs, embeddings, RAG, fine-tuning, prompt engineering) Experience with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers Understanding of ML lifecycle: data wrangling, feature engineering, model training, evaluation, and deployment Deep experience with LLMs such as GPT, LLaMA, Mistral, Claude, or Gemini and tools like LangChain, LangGraph, and LLamaIndex Experience building agentic AI solutions (e.g., AutoGPT, ReAct, CrewAI, BabyAGI) Proficiency with vector databases (FAISS, Pinecone, Weaviate, Chroma) and embedding models (OpenAI, Cohere, BGE, etc.) Excellent communication and presentation skills Strong research mindset with the ability to quickly learn and adapt to new GenAI technologies Ability to assess trade-offs between classic and generative AI techniques and recommend the best-fit approach

Company Description Tatvic, is a marketing analytics company focusing on generating insights from data using long association with Google & its infrastructure. We breed,recognize and reward performance. As a company we are growing very fast & we are under transformation. To enable this transformation we need future leaders with eyesight which balances execution & strategic understanding. Website: www.tatvic.com We’re Hiring: Senior Data Scientist Location : Ahmedabad | Experience : 3–6 years Education: M.Tech Computer Science preferred Turn noise into narrative. Models into movement. Data into decisions. At Tatvic , we’re not a company — we’re a team. A high-performing sports team . We build. We pass. We grow together. What You’ll Do Predict Customer Lifetime Value, model sentiment & uplift Build real-time pipelines & deploy scalable ML solutions Solve marketing-first business problems with smart ML/DL applications Experiment, deploy, and optimize with MLOps-first thinking Must-Have Skills 3+ years hands-on in Python, SQL, and ML/DL projects Solid experience with model deployment, feature engineering Tools: XGBoost, LSTM, CNNs, YOLO, RAGs, LLMs Cloud & MLOps: GCP (BigQuery, Vertex AI, Kubeflow), AWS, API integrations Strong communication: translating insights into client action Good To Have Demonstrated exposure to AutoML and real-time analytics, with a focus on deploying data-driven solutions in dynamic environments. Hands-on experience in marketing-centric analytics, driving insights that impact campaigns and ROI. Proven track record in consulting or client-facing roles, showcasing strong communication and problem-solving skills. Bonus points for standout achievements—high LeetCode scores, Kaggle rankings, certifications, or any recognitions that reflect your technical depth and commitment to continuous learning. Who This Role Is Not For Lone stars don’t win championships — every player’s move matters, and we play as one team People who need constant handholding — we value initiative Those looking for just a "job" — this is a mission. Our Culture & Perks — Where Passion Meets Purpose Competitive CTC: ₹12–18 LPA (based on experience & skills) Medical Insurance for you and your family. Return-to-Work Program for New Moms — we support your comeback, your way 1 Work From Home Day/Month — flexibility when life calls 2 Birthday Leaves/Year — one for you, one for someone you love Monthly Engagement Activities — from game nights to sports days Inclusive Culture & Equal Opportunity Employer — diversity is our strength We Think Like Athletes: We train, we fail, we grow, we win — together 5-day workweek, because your personal time matters .We Welcome Grit & Heart: Ex-founders, team players, and dreamers who hustle with purpose. Ready to Join the Squad? Let’s turn data into your greatest career move yet. → Apply Now

Job Description About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. Job Description Summary Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Job Description Key Responsibilities AI/ML Development & Research Design, develop, and deploy advanced machine learning and deep learning models for complex business problems Implement and optimize Large Language Models (LLMs) and Generative AI solutions Build agentic AI systems with autonomous decision-making capabilities Conduct research on emerging AI technologies and their practical applications Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP Develop full-stack applications integrating AI models with modern web technologies Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) Implement CI/CD pipelines for ML model deployment and monitoring Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management Design and implement data pipelines for large-scale data processing Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Optimize database performance for ML workloads and real-time applications Implement data governance and quality assurance frameworks Handle streaming data processing and real-time analytics Leadership & Collaboration Mentor junior data scientists and guide technical decision-making Collaborate with cross-functional teams including product, engineering, and business stakeholders Present findings and recommendations to technical and non-technical audiences Lead proof-of-concept projects and innovation initiatives Required Qualifications Education & Experience Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field 5+ years of hands-on experience in data science and machine learning 3+ years of experience with deep learning frameworks and neural networks 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) Knowledge of LangChain, LlamaIndex, or similar LLM frameworks Experience with model compression and edge deployment Familiarity with distributed computing and parallel processing Experience with computer vision and NLP applications Knowledge of federated learning and privacy-preserving ML Experience with quantum machine learning Expertise in MLOps and production ML system design Key Competencies Technical Excellence Strong mathematical foundation in statistics, linear algebra, and optimization Ability to implement algorithms from research papers Experience with model interpretability and explainable AI Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation Strong analytical and critical thinking skills Ability to translate business requirements into technical solutions Creative approach to solving complex, ambiguous problems Experience with rapid prototyping and experimentation Communication & Leadership Excellent written and verbal communication skills Ability to explain complex technical concepts to diverse audiences Strong project management and organizational skills Experience mentoring and leading technical teams How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/ . TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. Req Id: R_2507_10295_0 Posted At: Thu Jul 31 2025 00:00:00 GMT+0000 (Coordinated Universal Time)

Location : Kochi Employment Type : Full Time Work Mode : Hybrid Experience : 3-6 yrs Job Code : BEO-5640 Posted Date : 28/08/2025 Job Description Responsibilities Roles & Responsibilities 1. Conduct original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies. 2. Build Proof of Concepts (POCs) with emerging AI innovations and assess their feasibility for production. 3. Design and experiment with multimodal generative models (text, images, audio, and other modalities). 4. Develop autonomous, agent-based AI systems (agentic AI) capable of adaptive decision-making. 5. Lead the design, training, fine-tuning, and deployment of generative AI systems on large datasets. 6. Optimize AI algorithms for efficiency, scalability, and computational performance using parallelization, distributed systems, and hardware acceleration. 7. Manage data preprocessing and feature engineering (cleaning, normalization, dimensionality reduction, feature selection). 8. Evaluate and validate models using industry-standard benchmarks; iterate to achieve target KPIs. 9. Provide technical leadership and mentorship to junior researchers and engineers. 10. Document research findings, model architectures, and experimental outcomes in technical reports and publications. 11. Stay updated with the latest advancements in NLP, DL, and generative AI, fostering a culture of innovation within the team. Mandatory Technical & Functional Skills Strong expertise in PyTorch or TensorFlow. Proficiency in deep learning architectures: CNN, RNN, LSTM, Transformers, and LLMs (BERT, GPT, etc.). Experience fine-tuning open-source LLMs (Hugging Face, LLaMA 3.1, BLOOM, Mistral AI, etc.). Hands-on knowledge of PEFT techniques (LoRA, QLoRA, etc.). Familiarity with emerging AI frameworks & protocols (MCP, A2A, ACP, etc.). Deployment experience with cloud AI platforms: GCP Vertex AI, Azure AI Foundry, or AWS SageMaker. Proven track record in building POCs for cutting-edge AI use cases. Desired Candidate Profile Preferred Technical & Functional Skills Experience with LangGraph, CrewAI, or Autogen for agent-based AI. Large-scale deployment of GenAI/ML projects with MLOps/LLMOps best practices. Experience handling scalable data pipelines (BigQuery, Synapse, etc.). Strong understanding of cloud computing architectures (Azure, AWS, GCP). Key Behavioral Attributes Strong ownership mindset: able to lead end-to-end project deliverables, not just tasks. Ability to align AI solutions with business objectives and data requirements. Excellent communication and collaboration skills for cross-functional projects.

Position Summary Role: Online Instructor Location: Remote (Online) Employment Type: Project Contractor / Consultant Duration: 4 months (22nd September to 22nd Jan 2025) - Potential longer-term engagement based on candidate performance Availability Window: 12:00 PM - 4:00 PM IST Compensation: ~INR 1.5 lakhs per month (INR 5.5 - 6 Lakhs for the entire duration) Role Description: As the AI Project Management Instructor, you will train students to address a critical need in the market, where companies are actively seeking professionals who can bridge the gap between technical AI capabilities and business implementation. These specialists would navigate regulatory compliance while translating AI potential into practical business value. The Online Instructor will lead an interactive, hands-on AI Project Management Boot Camp. They are expected to engage students for 4 hours per day, 5 days per week. This engagement window will include: Delivering engaging live sessions based on a pre-designed curriculum (See Appendix for a detailed list of topics). Live sessions are expected to be ~2 hours per day. Actively engaging with students, answering questions, and providing assistance with exercises, projects, and assignments. Conducting open office hours to resolve student queries Integrating interactive elements such as quizzes, demonstrations, practice exercises, and presentations during the sessions Mentoring and guiding students throughout the program, offering academic and career support. Encouraging collaboration and critical thinking by guiding students through challenges and fostering a growth mindset. Managing check-ins, take attendance, and maintain accurate student records. Providing constructive feedback on student progress and performance. Facilitating hands-on exercises and real-world projects to reinforce learning. Staying updated with the latest trends and advancements in the project management field. Offer ongoing student support via email. NOTE - The instructor is expected to provide the above support within the 4-hour window on a daily basis. Who are we looking for? Educational Background Preferably a Master’s degree or higher in a relevant field such as Computer Science, Information Technology / Systems from Tier-1 institutions (e.g., IITs, NITs, BITS) or other renowned universities. Professional certifications in relevant domains obtained in the last 3–5 years, like Project Management Professional, AWS Cloud Certifications, and other Scrum/Agile-related certifications. Must have advanced experience with relevant tools / languages (Python - NumPy/Pandas, Data Visualization Tools - Tableau/PowerBI, Database Management - MongoDB/NoSQL) Professional Experience The candidate must have at least 5 years of combined experience in both corporate and academic/teaching roles - Industry Experience - Must have industry experience in Technical Project Management or a related domain, preferably in leading technology MNCs such as Genpact, IBM, Infosys, Accenture, Deloitte, Amazon, etc. Should have held roles such as Technical Project / Program Manager, Engineering Manager, etc. Should have demonstrated experience working in Machine Learning/Deep Learning, ML Ops, API/App Development, AWS Cloud, and Project Management Good to have experience working with global teams based in the Americas or EMEA regions Teaching / Training Experience - Conducting workshops, corporate training, and boot camps in IT Project Management or related fields. Experience in teaching or mentoring working professionals with leading organizations such as Emeritus, UpGrad, etc., or at prestigious institutions is an advantage. Key Attributes Strong Communication Skills: Ability to explain complex technical concepts clearly and concisely. Passion for Teaching: A genuine desire to share knowledge and help others succeed. Industry Expertise: Deep understanding of project management principles and practices. Adaptability: Ability to adjust teaching style to meet the needs of diverse learners. Engagement: Ability to engage the audience for longer duration Next Steps : Interested applicants should send their resumes specifying their work experience, education qualifications (including grade achieved), achievements to recruitment@linceducation.com with the subject “AI Project Management - Instructor | May 2025” APPENDIX List of Topics (abridged) that the Instructor will deliver as part of the course: Python and Design Thinking Data Visualisation & Design Thinking Data Collection and Project Management Business Model and Regulations Version Control & App Development Machine Learning Advanced Machine Learning Applied Machine Learning Deep Learning RNN, LSTM, and Big Data ML Ops and API Development GCP & ML Flow AWS Cloud CI/CD & AI Deployment

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description: Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description: We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications: • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills.

Responsibilities Roles & Responsibilities Conduct original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies. Build Proof of Concepts (POCs) with emerging AI innovations and assess their feasibility for production. Design and experiment with multimodal generative models (text, images, audio, and other modalities). Develop autonomous, agent-based AI systems (agentic AI) capable of adaptive decision-making. Lead the design, training, fine-tuning, and deployment of generative AI systems on large datasets. Optimize AI algorithms for efficiency, scalability, and computational performance using parallelization, distributed systems, and hardware acceleration. Manage data preprocessing and feature engineering (cleaning, normalization, dimensionality reduction, feature selection). Evaluate and validate models using industry-standard benchmarks; iterate to achieve target KPIs. Provide technical leadership and mentorship to junior researchers and engineers. Document research findings, model architectures, and experimental outcomes in technical reports and publications. Stay updated with the latest advancements in NLP, DL, and generative AI, fostering a culture of innovation within the team. Mandatory Technical & Functional Skills Strong expertise in PyTorch or TensorFlow. Proficiency in deep learning architectures: CNN, RNN, LSTM, Transformers, and LLMs (BERT, GPT, etc.). Experience fine-tuning open-source LLMs (Hugging Face, LLaMA 3.1, BLOOM, Mistral AI, etc.). Hands-on knowledge of PEFT techniques (LoRA, QLoRA, etc.). Familiarity with emerging AI frameworks & protocols (MCP, A2A, ACP, etc.). Deployment experience with cloud AI platforms: GCP Vertex AI, Azure AI Foundry, or AWS SageMaker. Proven track record in building POCs for cutting-edge AI use cases. Desired Candidate Profile Preferred Technical & Functional Skills Experience with LangGraph, CrewAI, or Autogen for agent-based AI. Large-scale deployment of GenAI/ML projects with MLOps/LLMOps best practices. Experience handling scalable data pipelines (BigQuery, Synapse, etc.). Strong understanding of cloud computing architectures (Azure, AWS, GCP). Key Behavioral Attributes Strong ownership mindset: able to lead end-to-end project deliverables, not just tasks. Ability to align AI solutions with business objectives and data requirements. Excellent communication and collaboration skills for cross-functional projects. Back

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design, to help CxOs envision and build what's next for their businesses. As a part of the team, your role will involve understanding client business requirements and providing suitable approaches to solve business problems across different domains. You will be responsible for developing strategies to solve problems in logical yet creative ways and managing teams of data scientists to produce project deliverables. This will include processing, cleansing, and verifying the integrity of data for analysis, as well as data mining and performing exploratory data analysis using state-of-the-art methods. You will also be involved in selecting features, building, and optimizing classifiers/regressors using machine learning and deep learning techniques, enhancing data collection procedures, conducting ad-hoc analysis, and presenting results in a clear manner. Additionally, you will follow and help improve Analytics-Delivery procedures using detailed documentation, create custom reports and presentations with strong data visualization and storytelling, and present analytical conclusions to senior officials and other stakeholders. To be successful in this role, you should have a minimum of 4 years of relevant experience and hold a degree in Engineering (B.E/B.Tech) or other related fields such as Mathematics, Statistics, Operational Research, Computer Science & Applications. You should have experience in data management and visualization tasks, as well as familiarity with common data science toolkits and frameworks. Furthermore, you should possess excellent understanding and hands-on experience in Natural Language Processing (NLP) and computer vision, and be proficient in building deep-learning models for text and image analytics using frameworks like Tensorflow, PyTorch, etc. Experience with large-scale datasets, deployment of models in production, and exposure to tools like Hadoop and PySpark will be advantageous. Working at Capgemini Invent, you will have the opportunity to enjoy flexible work arrangements, career growth programs, and valuable certifications in the latest technologies like Generative AI. Capgemini is a global business and technology transformation partner with a strong heritage of over 55 years, trusted by clients to deliver end-to-end services and solutions in AI, cloud, data, and more, with a focus on creating tangible impact for enterprises and society. Join us at Capgemini Invent to be a part of a diverse team of professionals working towards accelerating the dual transition to a digital and sustainable world while unlocking the value of technology to meet the evolving business needs of our clients.,

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is a company of inventors that unlocked AI on Edge - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. QUALCOMM is the world's leading developer of next generation wireless and multimedia technology. Immediate opportunities exist in QUALCOMM's Multimedia Audio Systems Group to work in the area of Voice AI. Responsibilities: The candidate will be expected to work with a team of engineers to prototype and productize Voice AI Models such as ASR, TTS, NLP, Multilingual Translation, Summarization, Language modeling and other Speech/text generation tasks. Develop, Train, and Optimize Voice AI models for efficient offload to NPU, GPU and CPU. Perform Model evaluation study and Competitive analysis with Mutiple open source model variants, work on different model architectures. Work closely with other R&D and Systems team for system integration, use case validation, efficient offload to HW accelerators and commercialization support. Requirements: Strong programming skills in C/C++, Python Experience working on ML inference optimizations Proficiency in designing, implementing and training DL models in any high-level languages/frameworks (e.g. PyTorch, TensorFlow, ONNX) Knowledge of ML architectures and operators such as Transformers, LSTM, GRUs.. Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques. Experience working on Speech-to-text, Text-to-Speech, Speech-to-Speech, NLP applications in academics or industry Knowledge of Model quantization and compression techniques. Expertise in developing and debugging software on embedded platforms Knowledge of software design patterns and multi-threaded programming, Eg POSIX or PTHREADS Knowledge of computer architecture, operating systems, data structures, and basic algorithms Knowledge of fixed-point coding Experience working on any AI HW accelerator NPU or GPU is a plus Educational Qualification: Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed. 2+ years of Audio Systems engineering or Audio Signal Processing modules or ML Model development or related work experience. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Description: Developing a software pipeline for end-to-end ML Model Inference for specific hardware accelerator by achieving maximum performance & accuracy. Implementing cutting edge deep learning layers for various model categories like CNN, RNN, LSTM, GANs, etc using customized inference pipeline for NN Processor. Performance optimization for inferencing the LLM Models in customized hardware with various layer types including transformer, encoder-decoder, etc based models. Hardware architecture aware and computation conscious implementation of solutions in an embedded device and maximize the throughput. Develop tools and applications by producing clean, efficient code. Identify, prioritize and execute tasks based on requirement. Implementation, Review, Debug code, Product Delivery and quick turn arounds. Collaborate with team to brainstorm and create new products. Mentor fresh joiners and foster team culture. Must-Have: BE/BTech/MS/MTech graduates with Computer science Engineering with 4+ yrs of experience. Solid programming experience in C/C++ with proven experience as Senior Software Engineer. Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms with a focus on optimization. Extensive experience in software development and project management. Strong analytical and problem-solving skills. Adaptable to execute complex tasks, under tight schedules and dynamic conditions. Familiarity with various operating systems (Linux, Mac OS, Windows). Ability to work independently and manage a team. Excellent organizational and leadership skills. Working knowledge on Deep Learning frameworks (Like ONNX, TensorFlow, PyTorch or Any Hardware Accelerator Software Pipeline Experience). Nice-to-Have: Knowledge in Python. Experience in managing team size of 4 or more. Experience Working in an Agile Environment. Experience in using automated testing frameworks.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Systems Engineering General Summary Qualcomm is a company of inventors that unlocked AI on Edge - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. QUALCOMM is the world's leading developer of next generation wireless and multimedia technology. Immediate opportunities exist in QUALCOMM's Multimedia Audio Systems Group to work in the area of Voice AI. Responsibilities The candidate will be expected to work with a team of engineers to prototype and productize Voice AI Models such as ASR, TTS, NLP, Multilingual Translation, Summarization, Language modeling and other Speech/text generation tasks. Develop, Train, and Optimize Voice AI models for efficient offload to NPU, GPU and CPU. Perform Model evaluation study and Competitive analysis with Mutiple open source model variants, work on different model architectures. Work closely with other R&D and Systems team for system integration, use case validation, efficient offload to HW accelerators and commercialization support. Requirements Strong programming skills in C/C++, Python Experience working on ML inference optimizations Proficiency in designing, implementing and training DL models in any high-level languages/frameworks (e.g. PyTorch, TensorFlow, ONNX) Knowledge of ML architectures and operators such as Transformers, LSTM, GRUs.. Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques. Experience working on Speech-to-text, Text-to-Speech, Speech-to-Speech, NLP applications in academics or industry Knowledge of Model quantization and compression techniques. Expertise in developing and debugging software on embedded platforms Knowledge of software design patterns and multi-threaded programming, Eg POSIX or PTHREADS Knowledge of computer architecture, operating systems, data structures, and basic algorithms Knowledge of fixed-point coding Experience working on any AI HW accelerator NPU or GPU is a plus Educational Qualification Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed. 2+ years of Audio Systems engineering or Audio Signal Processing modules or ML Model development or related work experience. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

As an AI/ML/DNN/DRL Researcher at Bert Labs, you will be responsible for conducting comprehensive research on the application of Artificial Intelligence, Machine Learning, Deep Neural Networks, and Deep Reinforcement Learning in various industrial domains including Commercial Buildings HVAC - Utility Systems, Pharma HVAC - Utility Systems, Pharma Process Equipment, Pharma Drug Discovery, Cement, Chemical/Speciality Chemical, Consumer Goods, Pulp & Paper, Materials, Automobile, and Energy Generation & Distribution. Your role will involve conceptualizing, architecting, designing, developing, productionizing, and enhancing models as part of the Platform Solution. You will be expected to establish scalable pipelines and processes for data pre-processing/cleaning, feature extraction, dimensionality reduction, model construction, and serving. Additionally, you will utilize both existing and emerging algorithms to create prediction and optimization models using time series data. Collaboration is key in this role, as you will work closely with the first principles modeling team to integrate outputs from first principles simulations and deep neural network simulations. You will also collaborate with industrial domain experts to maximize performance in complex manufacturing processes and equipment. Your involvement with Product Management Leaders will focus on tailoring Bert Labs Foundational AI models for different manufacturing plants and buildings. Furthermore, you will engage with front-end developers to incorporate analytics and assist backend developers in creating high-performing distributed computing software modules. This position offers an entrepreneurial leadership role where innovation beyond current capabilities is encouraged on a daily basis. Your collaboration with the IPR team will involve generating innovative ideas for potential patents and participating in freedom to operate searches, technology landscaping, prior art searches, and patent processes. Ideal candidates for this position should hold a BTech/MTech/PhD in CS/ECE/Statistics or related fields from reputable institutions such as IITs/BITS/NITs/IIITs/Jadavpur University/DTU/Top Engineering Institutes in the USA, Europe, UK/NUS. To excel in this role, you should possess 6 to 12 years of demonstrated experience in Computer Vision, Machine Learning, Python, Keras, Scikit-learn, TensorFlow, and statistical time-series analytics and forecasting techniques. Experience with applications to sales/demand forecasting in retail, as well as analytics for industrial IoT time-series data, is preferred. Proficiency in Reinforcement Learning, ANN/RNN/LSTM, Gradient Boosted Machines, SVM, and Ensemble techniques is advantageous. Familiarity with NoSQL DBs, Hadoop, analytics tools like Power BI, Tableau, and data pipelines for ML such as Apache Spark Streaming and Storm is also beneficial. Join Bert Labs today and be part of a dynamic team that challenges the status quo, fosters diversity and inclusion, and encourages collaboration to drive innovation in AI-driven solutions for sustainable business transformation.,

6+ Years of prior analytics and data science experience in driving projects involving Advanced Analytics and Data Science Collaborate with cross-functional teams including Engineering and Business to experiment, implement and deploy complex AI and Gen AI capabilities Strong experience in Statistical Modelling and in Machine Learning techniques like Regression, GBM, Decision Trees, Random Forest, K-Means Clustering, Strong exposure in NLP/Text Analytics, SVM, LSTM, Deep Learning, Neural network Experience in deep learning frameworks such as Tensor Flow, Keras or PyTorch In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Advanced proficiency in Python. Advanced experience in SQL/Hive will be preferred Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus. Power BI/Tableau (preferred) Proven analytical and quantitative skills with an ability to use hard data and metrics to back up assumptions, develop business cases and complete root cause analyses Ability to communicate effectively with diverse clients/stakeholders Ability to manage a team Tier I/II candidates preferred

Develop and implement sales forecasting models using advanced time series forecasting algorithms. Analyze and optimize pricing strategies to maximize revenue and profitability. Proven experience with time series forecasting techniques (ARIMA, Prophet, LSTM, etc.). Pandas, NumPy, Scikit-learn Proven experience with time series forecasting techniques (ARIMA, Prophet, LSTM, etc.). Expertise in sales forecasting and pricing strategy in a retail context. Location : - Remote,New Delhi,Mumbai,Bengaluru