399 Lstm Jobs - Page 5

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.

Job Title: Quantitative Analyst (Forex) Location: Indore, MP, India (Onsite only - Work from office) Experience Level: 3–5 years Employment Type: Full-time Role Overview Tecnomi is seeking a talented Quantitative Analyst to join our team full-time and play a key role in building, validating, and optimising systematic forex trading strategies. You will work closely with the project owner and development team to develop actionable models, implement risk frameworks, and contribute to data-driven insights. This full-time position offers the opportunity to drive innovative solutions in a collaborative environment, with a focus on long-term project impact. Key Responsibilities Strategy Development: Design, test, and optimise quantitative trading strategies using price data, volatility measures, sentiment indicators, and macroeconomic variables. Modelling & Backtesting: Build robust forecasting models (e.g., time-series, LSTM/Transformer hybrids) and perform rigorous backtesting to ensure reliability. Risk Frameworks: Develop and integrate risk-control tools (e.g., Value-at-Risk, drawdown limits, exposure thresholds) while aligning with compliance best practices. Data Integration: Aggregate and analyse multi-source data (news feeds, order-book snapshots, economic calendars) for model inputs and enhancements. Mentorship: Provide ongoing guidance and knowledge-sharing sessions to educate non-technical team members, including the project owner, on forex fundamentals and quantitative concepts. Collaboration & Documentation: Work with development teams to integrate model outputs into systems; maintain clear, comprehensive documentation of assumptions, processes, and results. Required Qualifications 3–5 years of experience in quantitative research, preferably in forex or systematic trading. Hands-on experience with backtesting platforms and statistical validation techniques. Strong understanding of FX market dynamics, macro drivers, and risk modelling. Excellent communication and teaching skills to mentor non-experts effectively. Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, or a related field. Verifiable 3-year portfolio showcasing prior models, backtests, or strategy reports. Preferred Skills Experience across multiple forex instruments or asset classes. Proficiency in Python or R (e.g., pandas, NumPy, statsmodels, scikit-learn). Familiarity with regulatory frameworks (e.g., RBI/FEMA). Exposure to tools like QuantConnect, MLflow, or similar platforms.

Job Summary We are seeking a highly experienced AI/ML Engineer with 10–12 years of hands-on experience to lead the complete AI/ML pipeline—from data ingestion and exploration to model deployment and monitoring. The ideal candidate will design and implement machine learning models, leveraging advanced Generative AI (GenAI) techniques to drive content generation, summarization, text classification, and intelligent automation. This role requires expertise in large language models (LLMs), including fine-tuning, optimization, and deployment of models such as GPT, BERT, and LLaMA using transfer learning and LoRA techniques. The candidate will also develop Retrieval-Augmented Generation (RAG) pipelines, integrate GenAI APIs and services into internal platforms, and implement guardrails for responsible AI practices. Beyond model development, the AI/ML Engineer will collaborate with product and engineering teams to deliver GenAI-powered features, drive model governance, and mentor junior team members to foster AI innovation. Experience with MLOps, CI/CD, feature engineering, dimensional modeling, and data engineering will be essential for success in this role. This position is perfect for someone passionate about cutting-edge AI/ML advancements, Generative AI applications, and building impactful machine learning solutions for real-world business challenges. Job Responsibility Lead the complete AIML pipeline from data ingestion and exploration to model deployment and monitoring. Leads development, build, and test scenrios for data solutions to deliver business value while meeting quality & technical requirements Accountable for end-to-end delivery of source data acquisition, complex transformation and orchestration pipelines, AI/ML engineering, and front-end visualization Design, build, and deploy machine learning models (classification, regression, deep learning etc) with real-world business applications. Leverage advanced GenAI techniques to solve problems in content generation, summarization, text classification, and intelligent automation. Fine-tune, optimize, and deploy LLMs (e.g., GPT, BERT, LLaMA) for custom use cases using techniques like transfer learning and LoRA. Develop prompt engineering frameworks and reusable GenAI patterns to accelerate model development. Build Retrieval-Augmented Generation (RAG) pipelines for domain-specific applications using vector databases and embedding models. Integrate GenAI APIs and services (e.g., OpenAI, Azure OpenAI, Hugging Face, LangChain) into internal platforms and products. Implement guardrails, safety filters, and evaluation metrics for GenAI models to ensure responsible AI practices. Perform advanced text mining, semantic search, document clustering, and knowledge graph generation using GenAI. Drive GenAI model governance including versioning, bias/fairness assessments, and monitoring drift in deployed systems. Collaborate with product and engineering teams to deliver GenAI-powered features in production systems. Mentor junior AI/ML team members and foster adoption of GenAI techniques across the organization. Design and implement robust ML models (classification, regression, deep learning) to solve real-world problems. Apply advanced statistical techniques to derive insights and build predictive models. Optimize model performance through hyperparameter tuning and evaluation metrics analysis. Deploy models to production environments using best practices in MLOps and CI/CD pipelines. Work on state-of-the-art architectures including Transformers, LSTM, CNNs for deep learning use cases (e.g., NLP, computer vision). Translate complex technical concepts into clear business insights and recommendations. Lead end-to-end ML lifecycle: data exploration, feature engineering, model selection, training, evaluation, deployment, and monitoring. Develop and fine-tune GenAI models including foundational models and LLMs (fine-tuning, prompt engineering, RAG). Mentor junior data scientists and ML engineers on best practices, tools, and techniques. Qualifications Bachelore /Master’s / PhD in Computer Science, Data Science, Statistics, Mathematics, or related field. Skills 10–12 years of experience in applied machine learning and artificial intelligence. Strong grounding in statistics, probability, and mathematics. Proven experience in feature engineering, model tuning, and understanding of data structures and algorithms. Deep knowledge of classification/regression techniques, ensemble methods, and deep learning architectures. Expertise with transformer models (e.g., BERT, GPT), RNNs, CNNs, etc. Solid experience with GenAI tools and frameworks (e.g., OpenAI, LangChain, HuggingFace Transformers). Proficiency in programming languages such as Python, with experience using ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Strong knowledge of model deployment techniques using Docker, Kubernetes, MLflow, or similar tools. Experience working with large-scale datasets and distributed computing frameworks like Spark is a plus. Good understanding of data engineering practices, ETL pipelines, and dimensional modeling. Working knowledge of SQL, Snowflake, and other cloud data warehouses is an added advantage. Familiarity with MLOps principles, version control (Git), and model monitoring tools. Experience with cloud platforms (e.g., Azure, AWS, GCP) for scalable AI/ML deployment. Experience with CI/CD pipelines in ML model delivery. Excellent communication and stakeholder management skills.

Summary: In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projects Duties & Responsibilities: Job Description Summary Need ML Engineer to develop and enhance telecom product. Selected candidate will be working on 'Telecom Artificial Intelligence Product', on the latest cutting edge technologies! We are seeking a highly skilled and experienced Machine Learning Engineer with a strong background in machine learning, deep learning, and extensive experience in implementing advanced algorithms and models to solve complex problems. This role is focused on developing and deploying cutting-edge solutions for anomaly detection, forecasting, event correlation, and fraud detection. Hiring Requirements Job Description You will be playing a key role in the next-gen SaaS product and platform development. Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on live customer data to improve efficacy, and robustness Research and test novel machine learning approaches for analysing large-scale distributed computing applications. End-to-End ML Ops Lifecycle: Implement and manage the full ML Ops lifecycle using tools such as Kubeflow, MLflow, AutoML, and Kserve for model deployment. Model Implementation: Develop and deploy the machine learning models using PyTorch, TensorFlow ensuring high performance and scalability. Distributed Systems: Run and manage PySpark and Kafka on distributed systems with large-scale, non-linear network elements. Proficient in Python programming and experienced with machine learning libraries such as Scikit-Learn and NumPy. Experience in time series analysis, data mining, text mining, and creating data architectures. Processing Approaches: Utilize both batch processing and incremental approaches to manage and analyse large datasets. Algorithm Experimentation: Experiment with multiple algorithms, optimizing hyperparameters to identify the best-performing models. Cloud Knowledge: Execute machine learning algorithms in cloud environments, leveraging cloud resources effectively. Model Retraining: Continuously gather feedback from users, retrain models, and update them to maintain and improve performance. Network Domain Expertise: Quickly understand network characteristics, especially in RAN and CORE domains, to provide exploratory data analysis (EDA) on network data. Transformer Architecture: Implement and utilize transformer architectures and have a strong understanding of LLM models. GAN AI: Apply GAN AI techniques to address network-related use cases and challenges. Build, train, and test multiple machine learning models. Perform hyperparameter tuning on trained models to achieve the best possible results. Make end to end pipelines for machine learning models. Act as an individual contributor within the team. Interact with a cross-functional team of data scientists, software engineers, and other stakeholders. Proven track record of end-to-end machine learning projects. Understanding and experience with leading supervised and unsupervised machine learning methods such as regression, neural networks, deep learning, RNN, LSTM, KNN, Naive Bayes, SVM, decision trees, random forest, gradient boosting, ensemble methods, and text mining. Experience in MLOps is a plus for the deployment of developed models. Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform Create use cases with respect to domain for solving a business problem Familiarity with well-known Python packages like Pandas, Numpy, etc., and DL frameworks Keras, TensorFlow, PyTorch. And knowledge of Big Data tools and environment. Knowledge of MySQL/No SQL is an added advantage Experience on end to end ML models deployment in production Proven track record of end-to-end machine learning projects. Understanding and experience with leading supervised and unsupervised machine learning methods such as regression, neural networks, deep learning, RNN, LSTM, KNN, Naive Bayes, SVM, decision trees, random forest, gradient boosting, ensemble methods, and text mining. Experience in MLOps is a plus for the deployment of developed models. Additional Job Description Bachelor's degree in Science/IT/Computing or equivalent 1-3 years of experience in ML Engineering role Significant proficiency/in-depth knowledge in the domain (technology and/or products) Engineering/Mathematics/ Statistics disciplines are acceptable, but candidate must have strong quantitative and applied mathematical skills. Certification courses in Data Science/ML will be an added advantage. In-depth working, beyond coursework, familiarity with statistical techniques and current ML techniques, both supervised and unsupervised learning techniques and other ML Techniques. Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization. Experience with Telecom Product development with TMF standards preferred Experience testing scalable SaaS platform clear advantage. Pre-Requisites / Skills / Experience Requirements:

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Title-Senior AI Engineer Overall Years Of Experience-4 To 6 Years Relevant Years of Experience-4+ Technical Lead: The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning. Position Summary 4+yrs of experience in a similar profile with strong service delivery background Lead and guide a team of Junior Developers. Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same. Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings. Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning. Plan and implement version control of source control Define and implement best practises for software development Excellent computer skills - proficient in excel, PowerPoint, word and outlook Excellent interpersonal skills and a collaborative management style Ability to analyse and suggest solutions Strong command on verbal and written English language Essential Roles and Responsibilities Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production. Solid understanding and experience of deep learning architectures and algorithms Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc Should have experience of 2-3 production implementation of machine learning projects. Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch Experience in LLMs, Gen AI Solution development Exposure to Agentic AI concept and hands on experience in POCs or Projects Work with business analysts/consultants and other necessary teams to create a strong solution Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc Skills in Java/C are a plus Should developing solutions using python in AI/ML projects Should be able to train and build a team of technical developers Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC Desired to have knowledge on any of the cloud solutions such as Azure or AWS Desired to have knowledge on any of container technology such as Docker Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders Should be able to build strong relationship with project stakeholders EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Title-Senior AI Engineer Overall Years Of Experience-4 To 6 Years Relevant Years of Experience-4+ Technical Lead: The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning. Position Summary 4+yrs of experience in a similar profile with strong service delivery background Lead and guide a team of Junior Developers. Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same. Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings. Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning. Plan and implement version control of source control Define and implement best practises for software development Excellent computer skills - proficient in excel, PowerPoint, word and outlook Excellent interpersonal skills and a collaborative management style Ability to analyse and suggest solutions Strong command on verbal and written English language Essential Roles and Responsibilities Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production. Solid understanding and experience of deep learning architectures and algorithms Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc Should have experience of 2-3 production implementation of machine learning projects. Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch Experience in LLMs, Gen AI Solution development Exposure to Agentic AI concept and hands on experience in POCs or Projects Work with business analysts/consultants and other necessary teams to create a strong solution Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc Skills in Java/C are a plus Should developing solutions using python in AI/ML projects Should be able to train and build a team of technical developers Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC Desired to have knowledge on any of the cloud solutions such as Azure or AWS Desired to have knowledge on any of container technology such as Docker Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders Should be able to build strong relationship with project stakeholders EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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.

Kovai.co is a catalyst, sparking a revolution in the world of enterprise software and B2B SaaS, we are a technology powerhouse delivering best-in-class enterprise software and game-changing SaaS solutions across industries. At Kovai.co , we're rewriting the B2B landscape by empowering over 2,500 businesses worldwide with our award-winning SaaS solutions. Our Products: Biztalk360 Turbo360 Document360 “UK headquarters. Indian innovation. Global impact.” Our journey has been nothing short of remarkable, having witnessed exponential growth and profitability right from our inception. We are on track towards $30 million in annual revenue – and we're just getting started. Kovai.co is fueled by a tribe of thoughtful helpers, obsessed with empowering customers, uplifting colleagues, and igniting our own journeys. Redefining tech is our game. Are you in? Join Kovai.co – where passion meets purpose. What's the job: Data Scientist What you’ll do on the job: Understand business problems and formulate hypothesis Collecting and interpreting data, analyzing results, identifying patterns and trends in large data sets Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data Build custom machine learning models for various use-cases such as recommendation, insight generation, forecasting, anomaly detection, and so on Performing data quality checks for quality assurance Build data pipelines to supply quality data to machine learning model in production environment Supports innovative analytical thinking & solutions that results into improved business performance Writing reports based on insights gained from exploratory data analysis and able to articulate it to product owner Practice industry well-known Machine Learning Framework and best practices Who’ll be a good fit: Proven working experience of 2+ years as a Data Scientist Strong in mathematics - statistics, probability, linear algebra, time series Proficiency in working with large datasets and data wrangling using SQL (Structured Query Language) Familiar with tools such as JuPyteR, Tensorflow ,Python , Azure ML, Prophet (Open source software), MS SQL Server Working knowledge of applied machine learning techniques such as regression, clustering, forecasting of time-series data and Classification models Proficiency in LSTM, hypothesis testing and supervised learning / unsupervised learning. Familiarity with all aspects of the analytical cycle such as data wrangling and visualisation, feature engineering, and model building Write scalable scripts to fetch or modify data from API endpoints Exposure to cloud technology is preferred (Azure) Excellent critical thinking, verbal, and written communication skills Equal Opportunities: Kovai.co is committed to building a workforce that reflects the richness of our society. We believe in fostering a culture of belonging and respect for all. Kovai.co stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career.

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.

Job Description: Data Science Trainer (Offline Training)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. The training program spans approximately 80 hours, covering foundational to advanced topics, and emphasizes real-world applications in sectors like mobile, banking, and healthcare. 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. *** Food and Accommodation will be provided. **** This is offline opportunity, people who are looking for online opportunity please don't apply.

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.

Senior Manager EXL/SM/1452874 ServicesGurgaon Posted On 14 Aug 2025 End Date 28 Sep 2025 Required Experience 6 - 10 Years Basic Section Number Of Positions 2 Band C2 Band Name Senior Manager Cost Code 8111248 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 2500000.0000 - 4000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Banking & Financial Services Organization Services LOB Consulting SBU Analytics Country India City Gurgaon Center Gurgaon-SEZ BPO Solutions Skills Skill STATISTICAL MODELING BUSINESS DEVELOPMENT DEEP LEARNING NLP SQL BIG DATA TOOLS AND TECHNIQUES TEAM MANAGEMENT AND LEADERSHIP SKILL Minimum Qualification BACHELOR'S DEGREE Certification No data available Job Description 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 Workflow Workflow Type L&S-DA-Consulting

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

The successful candidate will be part of highly productive teams working on implementing core AI algorithms, Cryptography libraries, AI enabled products, and intelligent 3D interfaces. You will work on cutting edge products and technologies in highly challenging domains and will need to have the highest level of commitment and interest to learn new technologies and domain-specific subject matter very quickly. Successful completion of projects will require travel and working in remote locations with customers for extended periods. Your skillset and expertise should include: - Strong software development experience using Python - Strong background in mathematical, numerical, and scientific computing using Python - Knowledge in Artificial Intelligence / Machine learning - Experience working with SCRUM software development methodology - Strong experience with implementing Web services, Web clients, and JSON protocol is required - Experience with Python Meta programming - Strong analytical and problem-solving skills - Design, develop, and debug enterprise-grade software products and systems - Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools - Excellent written and verbal communication skills; Proficiency in English. Verbal communication in Hindi and other local Indian languages - Ability to effectively communicate product design, functionality, and status to management, customers, and other stakeholders - Highest level of integrity and work ethic Frameworks you should be familiar with include: - Scikit-learn - Tensorflow - Keras - OpenCV - Django - CUDA - ReactJS - SVN - Apache Kafka Your mathematics background should cover: - Advanced Calculus - Numerical Analysis - Complex Function Theory - Probability You should be familiar with one or more of the following concepts: - OpenGL-based 3D programming - Cryptography - Artificial Intelligence (AI) Algorithms - Statistical modeling - DNN - RNN - LSTM - GAN - CNN Education Qualification: Bachelor, Master, or PhD degree in Computer Science, Mathematics, Electronics, Information Systems from a reputed university and/or equivalent Knowledge and Skills Location: Hyderabad, Bengaluru, Delhi, If needed Client Locations Please send your resume to hr@meslova.com,

We are looking for a Software Developer with strong skills in Python, particularly in the field of Natural Language Processing (NLP). The ideal candidate must have a minimum of 3-7 years of relevant experience. One of the primary responsibilities will be to work on core problems and develop algorithms from scratch. Additionally, the candidate should have the ability to seamlessly integrate into ongoing projects, understand existing codes and algorithms, and contribute effectively. The candidate should have expertise in NLP application areas such as Sentiment Analysis, Document Classification, Question-Answer Matching, Text Summarization, and Topic Modeling. It is essential that the candidate has successfully trained and deployed at least one Machine Learning / Deep Learning model for the NLP domain. Proficiency in web scraping will be considered a significant advantage. Apart from technical skills, the candidate must possess strong interpersonal and communication skills. They should be able to engage with customers to solve business problems using AI and identify opportunities to embed AI/ML services into enterprise architecture seamlessly. Keeping up-to-date with the latest technological advancements in the fields of AI, ML, Computer Vision, and NLP is crucial for this role. This position is based in Pune and requires a proactive individual who is passionate about leveraging AI technologies to drive innovation and solve real-world challenges.,

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Meet Our Team Sr. Data Scientist – Job description The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities The role will focus on building out machine learning solutions for WBD’s Data and Analytics organization. Primary focus will be on unlocking machine learning opportunities and building foundational machine learning training and inference pipelines at scale. You have a deep understanding of different types of data, metrics and KPIs. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments. Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.) Lead data science and model development techniques for the team. Leverage industry best practices and tools to continually improve teams' ability to build machine learning models. What To Bring BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus 5+ years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.) Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...). Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...). Proficiency in programming languages such as Python or R. Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring). Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow. Strong interpersonal skills with the ability to motivate, collaborate and influence Ability to deliver on multiple projects and meet tight deadlines Ability to effectively influence and communicate cross-functionally with all level How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role 4-5 years of experiencehand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good, applied statistics skills, such as distributions, statistical inference & testing, etc. in preferably in Life Sciences domain. Proficient in data mining and data cleansing techniques. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM) etc.). Good applied statistics skills, such as distributions, statistical inference & testing, etc. Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark etc. Your Profile Post - Graduate degree (M.E/ M.Tech/ M.Sc etc) Experience on deployment of model in production. Experience in data management and visualization task. Excellent understanding / hand-on experience in NLP and computer vision. Familiarity with database systems of SQL and NoSQL. Familiarity with data visualization tools such as Tableau, MS PowerBI etc Ability to think creatively to solve real world business problems. Critical thinking and problem solving capabilities. Data-oriented personality. Hands on experience in GenAI. Good presentation skills. Proficient in verbal and written communication. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc. Knowledge/ hand-on experience on deployment of model in production & deployment. What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Primary Skills Time Series Forecasting : Applying models like ARIMA, Prophet, or LSTM for month-on-month estimations Machine Learning : Building and deploying ML models for forecasting and cost optimization Python Programming : For data manipulation, modeling, and automation (Pandas, NumPy, scikit-learn) CDN Domain Knowledge : Understanding content delivery networks, traffic patterns, and cost structures Power BI : Designing dashboards for CDN usage reporting (regional, brand-level, etc.) Data Analysis & Modeling : Statistical analysis, feature engineering, and model evaluation Cost Optimization Techniques : Using ML to model and optimize CDN allocation and expenses SQL : Querying structured data for reporting and model input Secondary Skills These enhance effectiveness and collaboration but are not strictly mandatory: Cloud Platforms : Familiarity with Azure, AWS, or GCP for data storage and compute ETL & Data Wrangling : Preparing and transforming data from multiple sources Version Control : Using Git for code collaboration and tracking Agile Methodologies : Working in sprints, using tools like JIRA or Confluence Communication Skills : Explaining technical insights to non-technical stakeholders Collaboration Tools : Experience with Teams, Slack, or similar platforms This job is provided by Shine.com

Data Science is about pioneering new approaches to help businesses answer critical questions by analyzing massive data sets. As a Senior Advisor on the Data Science Team in Bangalore, you will play a crucial role in shaping methodologies and models to extract meaningful insights from petabyte-scale data. Collaborating with experts, engineers, and academics, you will empower customers to derive valuable insights from large data sets. Your primary responsibilities will include contributing to business strategies, influencing decision-making through deep analysis, and providing actionable recommendations based on complex data interpretations. You will design processes to extract insights from unstructured data, develop predictive models and algorithms, and work closely with stakeholders to deliver actionable business insights. Key Responsibilities: - Collaborate with internal and external teams to understand customer needs and propose solutions - Engage with external clients to gather project requirements and share analytical insights - Conduct data exploration and preparation for model development and validation - Apply statistical, machine learning, and business intelligence techniques to deliver actionable insights - Solution, build, deploy, and monitor models effectively Requirements: - Minimum 8 years of experience in NLP, Machine Learning, Computer Vision, and GenAI - Proficiency in data visualization tools like Power BI, matplotlib, and plotly - Hands-on experience with CNN, LSTM, YOLO, SQL, Postgres SQL, PGVector, and ChromaDB - Strong understanding of MLOps and ML lifecycle management - Expertise in large language models, prompt engineering, and NLP tasks Desired Skills: - Knowledge of streaming/messaging frameworks like Kafka, RabbitMQ, ZeroMQ - Familiarity with cloud platforms such as AWS, Azure, GCP - Experience with web technologies and frameworks like HTTP, REST, GraphQL, Flask, Django - Proficiency in programming languages like Java or JavaScript Join Dell Technologies to work with cutting-edge technology and drive impactful change. We value diversity and are committed to providing an inclusive work environment where everyone can thrive and grow. If you are passionate about leveraging data science to make a difference, apply now and take the first step towards a rewarding career with us. Application closing date: 8 August 2025 Job ID: R260848,

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 Lead Data Scientist Job Description For Lead Data Scientist Use the Mastercard standardized job description template to design a simple and engaging vision of the job opportunity you have available. Remember to: Follow the guidelines in each section to write the content for your position. Copy and paste it into the Workday Job Description Summary field. Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses. The Data Science and Analytics team is looking for a Data Scientist II. The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much more. Join our team to make an impact across all sectors of the economy by consistently innovating and problem-solving. The ideal candidate is passionate about leveraging data to provide high quality customer solutions. Also, the candidate is a strong technical leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. Role Develops machine-learning models to monitor open banking transactions in order to glean insights from the data and create data science algorithms to detect data anomaly observed in fraudulent transactions. Manipulates large data sets and applies various technical and statistical analytical techniques (e.g., OLS, multinomial logistic regression, LDA, clustering, segmentation) to draw insights from large datasets. Apply various Machine learning (i.e. SVM, Radom Forest, XGBoost, LightGBM, CATBoost etc), Deep learning techniques (i.e. LSTM, RNN, Transformer etc.) to solve analytical problem statement. Design and implement machine learning models for a number of financial applications including but not limited to: Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data. Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models. Propose creative solutions to existing challenges that are new to the company, the financial industry and to data science. Present technical problems and findings to business leaders internally and to clients succinctly and clearly. Leverage best practices in machine learning and data engineering to develop scalable solutions. Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team Be a strong, confident, and excellent writer and speaker, able to communicate your analysis, vision and roadmap effectively to a wide variety of stakeholders Test current cutting-edge AI technologies to enhance data science modeling work. All About You: 5-7 years in data science/ machine learning model development and deployments Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation and credit risk modeling is a plus. A strong understanding of NLP, Statistical Modeling, Visualization and advanced Data Science techniques/methods. AI experience is a plus. Gain insights from text, including non-language tokens and use the thought process of annotations in text analysis. Solve problems that are new to the company, the financial industry and to data science SQL / Database experience is preferred. Strong Python programming background/experience. Experience with Kubernetes, Containers, Docker, REST APIs, Event Streams or other delivery mechanisms. Familiarity with relevant technologies (e.g. Tensorflow, Sklearn, Pandas, etc.). Familiarity with Databricks Platform. Strong desire to collaborate and ability to come up with creative solutions. Additional Finance and FinTech experience preferred. Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics. Corporate Security Responsibility Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security. All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And Therefore, It Is Expected That The Successful Candidate For This Position 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: Candidates go through a thorough screening and interview process. 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.

Role Overview: We are seeking a skilled Data Scientist to join our cutting-edge research team working on EEG and EMG signal analysis. This role offers the unique opportunity to implement state-of-the-art algorithms from research papers, develop deep learning models for neural signal processing, and contribute to groundbreaking neuroscience research. What makes this role exciting: You'll work with advanced signal processing techniques, implement algorithms from the latest research papers, and develop Machine Learning/Deep Learning models for neural recordings. Your work will directly contribute to published research and conference presentations Key Responsibilities Algorithm Implementation: Implement advanced signal processing algorithms from research papers, including spatial filtering techniques, time-frequency analysis methods, and other cutting-edge approaches Data Preprocessing & Cleaning: Handle complex EEG/EMG datasets, perform signal filtering, artefact removal, and data preparation for analysis Model Development: Build and train machine learning and deep learning networks for neural signal classification Model Training & Optimization: Conduct hyperparameter tuning, cross-validation, and model optimization for various machine learning approaches Performance Evaluation: Implement metrics, validation frameworks and statistical analysis to evaluate model performance Documentation: Maintain comprehensive documentation of methods, results, and experimental procedures MLOps Implementation: Adopt best practices of MLOps for model training, evaluation and inference capabilities. Feature Engineering: Extract and analyze statistical features from EMG signals including spectral analysis, entropy measures, and channel dominance Required Qualifications Experience: 2-3 years minimum in data science, machine learning, or signal processing roles Programming Skills: Proficiency in Python and optionally in MATLAB Deep Learning: Hands-on experience with TensorFlow, PyTorch, Keras frameworks or at least a strong experience with scikit-learn. Machine Learning: Strong foundation in supervised learning, particularly SVM and neural networks Time Series Analysis: Demonstrated experience working with time series data and signal processing techniques Implementation Skills: Excellent ability to translate research papers into working code implementations Technical Stack Python , MATLAB, TensorFlow, PyTorch, SVM ,CNN-LSTM Preferred Qualifications Time series analysis experience in any domain (finance, IoT, sensor data is also acceptable) Strong mathematical background in signal processing or machine learning theory Experience scaling ML models with large datasets Knowledge of statistical feature extraction and spectral analysis Personal Traits We Value Complete Ownership: Take full responsibility for your work, owning both successes and failures with accountability Collaborative Spirit: Genuine desire to help colleagues and contribute to the organization's success Data Enthusiasts: Someone who genuinely enjoys exploring data and finds satisfaction in uncovering insights Research Mindset: Curiosity to explore independent research directions and contribute to scientific knowledge Growth & Development This is a permanent position with exceptional growth opportunities Leadership Development: We mentor and encourage leadership qualities in every role we hire Industry Partnerships: Work with leading neuroscience labs and premier medical institutions to drive real-world impact Research Publications: Active involvement in publishing basic and applied neuroscience papers Conference Presentations: Opportunities to present research findings at scientific conferences Mentorship Opportunities: Future prospects to mentor interns and junior team members Independent Research: Encouraged and supported to pursue your own research interests You'll receive close mentorship on research methods while having the autonomy to implement and optimize solutions independently. Skills: research,learning,machine learning,deep learning,algorithms,processing,data,signal processing,signal,contribute,python,tensorflow,matlab,pytorch,keras,support vector machine (svm),cnn-lstm

Role Overview: We are seeking a skilled Data Scientist to join our cutting-edge research team working on EEG and EMG signal analysis. This role offers the unique opportunity to implement state-of-the-art algorithms from research papers, develop deep learning models for neural signal processing, and contribute to groundbreaking neuroscience research. What makes this role exciting: You'll work with advanced signal processing techniques, implement algorithms from the latest research papers, and develop Machine Learning/Deep Learning models for neural recordings. Your work will directly contribute to published research and conference presentations Key Responsibilities Algorithm Implementation: Implement advanced signal processing algorithms from research papers, including spatial filtering techniques, time-frequency analysis methods, and other cutting-edge approaches Data Preprocessing & Cleaning: Handle complex EEG/EMG datasets, perform signal filtering, artefact removal, and data preparation for analysis Model Development: Build and train machine learning and deep learning networks for neural signal classification Model Training & Optimization: Conduct hyperparameter tuning, cross-validation, and model optimization for various machine learning approaches Performance Evaluation: Implement metrics, validation frameworks and statistical analysis to evaluate model performance Documentation: Maintain comprehensive documentation of methods, results, and experimental procedures MLOps Implementation: Adopt best practices of MLOps for model training, evaluation and inference capabilities. Feature Engineering: Extract and analyze statistical features from EMG signals including spectral analysis, entropy measures, and channel dominance Required Qualifications Experience: 2-3 years minimum in data science, machine learning, or signal processing roles Programming Skills: Proficiency in Python and optionally in MATLAB Deep Learning: Hands-on experience with TensorFlow, PyTorch, Keras frameworks or at least a strong experience with scikit-learn. Machine Learning: Strong foundation in supervised learning, particularly SVM and neural networks Time Series Analysis: Demonstrated experience working with time series data and signal processing techniques Implementation Skills: Excellent ability to translate research papers into working code implementations Technical Stack Python , MATLAB, TensorFlow, PyTorch, SVM ,CNN-LSTM Preferred Qualifications Time series analysis experience in any domain (finance, IoT, sensor data is also acceptable) Strong mathematical background in signal processing or machine learning theory Experience scaling ML models with large datasets Knowledge of statistical feature extraction and spectral analysis Personal Traits We Value Complete Ownership: Take full responsibility for your work, owning both successes and failures with accountability Collaborative Spirit: Genuine desire to help colleagues and contribute to the organization's success Data Enthusiasts: Someone who genuinely enjoys exploring data and finds satisfaction in uncovering insights Research Mindset: Curiosity to explore independent research directions and contribute to scientific knowledge Growth & Development This is a permanent position with exceptional growth opportunities Leadership Development: We mentor and encourage leadership qualities in every role we hire Industry Partnerships: Work with leading neuroscience labs and premier medical institutions to drive real-world impact Research Publications: Active involvement in publishing basic and applied neuroscience papers Conference Presentations: Opportunities to present research findings at scientific conferences Mentorship Opportunities: Future prospects to mentor interns and junior team members Independent Research: Encouraged and supported to pursue your own research interests You'll receive close mentorship on research methods while having the autonomy to implement and optimize solutions independently. Skills: research,learning,machine learning,deep learning,algorithms,processing,data,signal processing,signal,contribute,python,tensorflow,matlab,pytorch,keras,support vector machine (svm),cnn-lstm

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.

Job Summary We are seeking an experienced Machine Learning Engineer to design, build, and deploy production-grade models for demand forecasting, customer churn prediction, and inventory optimization. You'll work with large-scale transactional data (e.g., orders, customer behavior) to create robust systems that predict rental demand, identify at-risk customers, and manage inventory efficiently, including handling returns and refurbishments. This role is ideal for someone passionate about e-commerce/retail analytics and proficient in Python-based ML workflows. Key Responsibilities Demand Prediction: Develop and implement time-series forecasting models (e.g., using Prophet, ARIMA, or LSTM) to predict rental demand by product (SKU), category, and city. Incorporate features like seasonality, holidays, promotions, and external factors (e.g., weather, economic indicators) to achieve high accuracy. Churn Prediction: Build classification models (e.g., XGBoost, Random Forests) to predict customer churn based on subscription history, order patterns, and behavioral features. Use outputs to inform retention strategies and integrate with inventory models (e.g., estimating returns from churned users). Inventory Management: Design optimization models (e.g., using PuLP or linear programming) to manage stock levels, reorder points, and refurbishment cycles, leveraging demand and churn forecasts to minimize stockouts and overstock costs. End-to-End ML Pipeline: Create data pipelines (ETL) for ingesting and preprocessing order data (e.g., from CSV sources with timestamps, SKUs, cities). Feature engineering: Generate 50-100+ features like lagged orders, customer tenure, day-of-week effects, and holiday flags. Model Deployment & Monitoring: Deploy models as APIs (e.g., using FastAPI, Docker, Kubernetes) for real-time predictions. Implement monitoring for model drift and retraining workflows. Conduct A/B testing and evaluate models using metrics like RMSE (for demand), AUC-ROC (for churn), and cost savings (for inventory). Scalability & Experimentation: Optimize models for large datasets (e.g., millions of orders) using cloud platforms (AWS/GCP). Experiment with advanced techniques like reinforcement learning for dynamic pricing tie-ins. Required Qualifications Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Experience: 3-5+ years as an ML Engineer or similar role, with hands-on experience in retail/e-commerce analytics (e.g., demand forecasting, churn, inventory). Technical Skills: Proficiency in Python (pandas, NumPy, scikit-learn) and ML libraries (Prophet, XGBoost, TensorFlow/PyTorch). Time-series forecasting (ARIMA, Prophet) and optimization tools (PuLP, SciPy). Data pipelines (Airflow, Spark) and deployment (Docker, Kubernetes, AWS SageMaker). SQL for data querying and cloud computing (AWS/GCP/Azure). Soft Skills: Strong problem-solving, ability to work in a small team, and experience with Agile/Scrum methodologies. Domain Knowledge: Familiarity with subscription/rental models (e.g., handling returns, refurbishments) in e-commerce. Preferred Qualifications Experience with reinforcement learning or advanced optimization for dynamic pricing. Knowledge of big data tools (e.g., Hadoop, Spark) for scaling models. Publications or projects in retail predictive analytics Familiarity with RentoMojo-like platforms or the Indian e-commerce market. Skills: data tools,python,demand forecasting,inventory optimization,model deployment,sql,data pipelines

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Title-Senior AI Engineer Overall Years Of Experience-4 To 6 Years Relevant Years of Experience-4+ Technical Lead: The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning. Position Summary 4+yrs of experience in a similar profile with strong service delivery background Lead and guide a team of Junior Developers. Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same. Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings. Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning. Plan and implement version control of source control Define and implement best practises for software development Excellent computer skills - proficient in excel, PowerPoint, word and outlook Excellent interpersonal skills and a collaborative management style Ability to analyse and suggest solutions Strong command on verbal and written English language Essential Roles and Responsibilities Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production. Solid understanding and experience of deep learning architectures and algorithms Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc. Should have experience of 2-3 production implementation of machine learning projects. Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch Experience in LLMs, Gen AI Solution development Exposure to Agentic AI concept and hands on experience in POCs or Projects Work with business analysts/consultants and other necessary teams to create a strong solution Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in Java/C are a plus Should developing solutions using python in AI/ML projects Should be able to train and build a team of technical developers Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC Desired to have knowledge on any of the cloud solutions such as Azure or AWS Desired to have knowledge on any of container technology such as Docker Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders Should be able to build strong relationship with project stakeholders EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.