184 Regularization Jobs - Page 2

About GITAA: GITAA, an IIT Madras incubated company, is founded by experienced academics from the Indian Institute of Technology, Madras. Our founders bring in a wealth of expertise and knowledge in data science and engineering disciplines. GITAA is a leading provider of edtech solutions, training and technology consulting services. We build custom AI & ML solutions that turn data into business outcomes. Recent work spans retail analytics (SERVQUAL-based customer segmentation on service-request data to drive upsell, cross-sell, and loyalty), engineering analytics in manufacturing (self-supervised anomaly detection under sparse labels to cut scrap and downtime), data audit & governance (DGQI evaluations with IIT Madras to close policy–practice gaps), sports analytics (real-time cricket innings forecasts and dynamic win probabilities), and aviation—including regional carriers like FLY91—(network and revenue optimization across route profitability, demand forecasting, dynamic pricing, on-time performance, and customer segmentation). These are a few of our focus areas; we’re continually expanding into new domains. Job Description: We are looking for Junior Data Scientists who are passionate about mathematics, data science, and Python programming. You will work alongside subject matter experts to create innovative, impactful solutions and contribute to the development of data-driven applications. Candidates with knowledge of data analytics, AI/ML methods, and tools will be given preference. Responsibilities: Conceptualize and develop solutions in core subjects such as linear algebra, statistics, and probability. Design and implement solutions for data science and machine learning problems, Python language and toolboxes. Qualifications: B.Tech, Dual Degree, M.Tech, or Master’s in Engineering, Computer Science or Data Science from a reputed institution, with a minimum CGPA of 7.5. Minimum 1+ years of industry or research experience in data science and machine learning. Required Skills: Strong foundation in statistics, linear algebra, probability, and basic ML algorithms, with excellent analytical skills. Proficiency in Python; experience with IDEs such as PyCharm or VS Code. Hands-on SQL with MySQL and PostgreSQL. Familiarity with Git and GitHub; LLM/GenAI fundamentals: prompting; embeddings/tokenization; using APIs/libraries (e.g., Hugging Face, OpenAI); basics of RAG and evaluation. AI algorithms & foundations beyond the basics: regularization, ensembles, search/optimization heuristics. Reinforcement learning basics: MDPs, bandits, policy/value methods; exposure to Gym or RLlib is a plus. Deployment exposure: simple services/apps with FastAPI/Flask or Streamlit; packaging and virtual environments. Big data & systems: willingness to explore front-end/back-end concepts and big data frameworks (e.g., Spark, Kafka); containers/cloud familiarity (Docker; AWS/Azure/GCP). Excellent communication (oral and written) and interpersonal skills. Strong time management; able to work independently and within teams. What We Offer: A collaborative, intellectually rich environment in Chennai. Opportunities to work on meaningful EdTech innovations. Exposure to real-world AI/ML applications in the education sector. Chance to work alongside IITM professors and domain specialists from the industry Salary: To be determined based on experience and qualifications. Interested candidates may send their resume to: 📧admin@gitaa.in 📧shreenithiya@gitaa.in To know more about us, visit gitaa.in

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.

Position: Data Science Intern Job ID: RF387 Work Mode: Remote Experience Required: Fresher Stipend: ₹20,000 – ₹25,000 per month About the Internship Are you fascinated by data, machine learning, and AI-driven solutions? Do you want to gain hands-on experience in solving real-world business challenges using cutting-edge technology? As a Data Science Intern, you’ll work on projects that directly impact business decisions in the AdTech ecosystem, customer analytics, and generative AI applications. This internship is designed for freshers who are eager to apply their academic knowledge to industry problems. You’ll collaborate with data scientists, engineers, and product managers to design models, analyze data, and deliver insights that power smarter strategies and solutions for clients. Key Responsibilities As part of the team, you’ll contribute to both research and development tasks, ensuring real business impact: Business Translation: Work closely with stakeholders to translate business requirements into solvable data science problems. Algorithm Development: Design and implement algorithms for multi-channel budget and bid optimization, particularly within the Walled Garden AdTech ecosystem. Customer Analytics: Develop solutions for customer segmentation, churn prediction, and other predictive models using large-scale datasets. Machine Learning: Build and train ML models using Python (Pandas, NumPy, Scikit-learn), focusing on real-world applications like ensemble methods, time series modeling, and boosting techniques. Generative AI: Explore and implement solutions with Large Language Models (LLMs) and Generative AI tailored to client needs. Continuous Improvement: Document, evaluate, and enhance algorithms and models for better performance and scalability. Metrics & Outcomes: Define and track key performance indicators (KPIs) to measure the success of proposed solutions. Collaboration: Partner with a cross-functional team of data scientists, engineers, and product managers throughout the product lifecycle. Skills and Qualifications We’re looking for motivated learners with a solid foundation in data science concepts: Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field. Programming: Proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn. SQL: Intermediate-level skills to query, manage, and analyze large datasets. Machine Learning Knowledge: Familiarity with techniques such as regularization, boosting, random forests, ensemble methods, and time series modeling. AI/ML Exposure: Prior experience or academic projects with LLMs and Generative AI. Additional Plus: Knowledge of REST APIs, web services, and production-grade model deployment. Soft Skills: Strong problem-solving mindset, excellent written and verbal communication, and the ability to work effectively in a team. What You’ll Gain This internship isn’t just about learning — it’s about creating impact. You’ll get: Hands-on experience with real-world datasets and business use cases. Exposure to AdTech optimization, customer analytics, and generative AI. Mentorship from senior data scientists and engineers. An opportunity to strengthen your portfolio with projects that blend AI, ML, and business problem-solving. A chance to sharpen both your technical expertise and your ability to communicate data insights effectively. Who Should Apply? If you’re a fresher with strong technical skills, curiosity for data-driven problem solving, and an eagerness to work on projects that push the boundaries of AI and analytics, we’d love to hear from you.

Key Result Areas/Accountabilities Key Result Areas/Accountabilities Supporting Actions Pre-shipment activities and documentation: LC draft checking, follow up and ensure LC receipt from banks. Advance record keeping. Indent approval of containers basis financial arrangements and SBU-H approvals. LC entry in module, MIS and linkage with SO on receipt of LC. Ensure Shipping Bill filing as per checklist. Co-ordinate and finalize BL drafts with CHA and Shipping Lines. Co-ordinate and finalize ISPM, Fumigation, Physto certificates through third party via emails. Prepare and issue Insurance through portal of appointed Insurance company. Check FTA/COO certificates as per checklist and ensure issuance through Third party vendor. Share Estimated vessel details, pre-shipment docs to Agents / Buyers. Post shipment activities and documentation: Share vessel sailing confirmation to Agents / Buyers. Co-ordinate and ensure issuance of OBLs from Shipping Lines. Apply and get FTA/COO certificates issued through Third party vendor. Sales booking system. Preparation and submission of Documents to bank as per LC terms & conditions, or CAD (as per PFI) and CAFD scan docs to Buyers for payment release as per Payment terms. Ensure release of original docs from Bank and share DHL details with buyer. Payment to be received from customer and release documents to customer. Follow up with Agents and Buyers for payments release on due dates. Ensure release of original docs directly to Buyer or telex on receipt of funds. Ensure release of original docs from Bank and share DHL details. Advance and Payment Record keeping. FEEMA Compliance GR regularization with Bank and deal generation. Payment regularization with bank against deals. Issuance of e-BRC. Ensure IRM and EDPMS closures. MIS to management. Update and maintain Export MIS. Validate sales booking as per Ex India report thrice in a month. Daily & Monthly report Audit queries

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.

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Job Summary – We are seeking a highly motivated and experienced Senior Computer Vision Engineer to join our dynamic Engineering and Research team. The work involves leveraging the latest advancements in deep learning to create robust and highly accurate systems for image classification, object detection, and semantic segmentation. This position offers the opportunity to contribute to impactful projects, work with the latest technologies, and shape the future of technological innovation and research-driven solutions. Roles & Responsibilities : Lead Deep Learning Model Development: Architect, design, develop, and implement state-of-the-art deep learning models for image classification, object detection, and semantic segmentation tasks. Algorithm Research and Selection: Stay abreast of the latest research and advancements in deep learning for computer vision. Evaluate, benchmark, and select appropriate algorithms and architectures (e.g., CNNs, Transformers, GANs, etc.) based on project requirements and performance metrics. Data Strategy and Preprocessing: Collaborate with data scientists and engineers to define data collection strategies, perform extensive data augmentation, labeling, and preprocessing to ensure optimal model training and performance. Model Training and Optimization: Design and execute robust training methodologies, including hyperparameter tuning, regularization techniques, and distributed training strategies to achieve high accuracy and efficiency. Performance Evaluation and Analysis: Conduct rigorous model evaluation, performance profiling, error analysis, and interpretability studies to identify areas for improvement and ensure robust model behavior in diverse scenarios. Deployment and Integration: Work closely with software engineers to integrate trained deep learning models into production systems, considering performance, scalability, and resource constraints. Research and Innovation: Actively contribute to the team's research agenda, identifying new opportunities, proposing innovative solutions, and potentially publishing research findings. Mentorship and Knowledge Sharing: Provide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and knowledge sharing within the team. Cross-Functional Collaboration: Collaborate effectively with other R&D teams, product managers, and stakeholders to understand requirements, define project scope, and deliver impactful solutions. Documentation: Maintain comprehensive documentation of models, algorithms, experiments, and results. Qualifications Educational qualification: ME/M. Tech/MS (Electronics, Computer Science or related) Experience : 6 to 8 years of professional experience. Mandatory/requires Skills : Excellent programming & rapid prototyping skills in Python. Exposure to Object Oriented Programming and Design, Data structures / Algorithms is a must. Expertise on OpenCV, DLib, Numpy. Excellent knowledge on any/all of the given concepts in Computer Vision - namely Image Classification, Object Detection and Semantic Segmentation developed using state of the art deep learning algorithms. Hands on experience in developing efficient and real-time convolution neural network models. Awareness of Machine learning concepts, hyperparameters tunning, metrics and training methods, and able to make benchmarks with other SOTA models. Hands on working experience with anyone of the deep learning frameworks - TensorFlow, Caffe, Pytorch, Keras, MXNet, Theano. Experience on Foundation Models especially with EVA & DINO a big plus. Well conversed with MLOps concepts (Hands on experience with mlflow a big plus) Exposure to model compression and pruning in deep learning. Familiarity with GPU computing (CUDA, OpenCL), HPC and and, should have hands on experience in local GPU Linux servers or cloud machine learning service providers like AWS, Azure, etc. Strong Problem Solving & Communication skills. Highly Motivated, Creative and a Team player. Responsible on taking the ownership of modules/projects as well as contributing/collaborating the team with individual contributions. Preferred Skills : Experience/exposure to usage of Open-Source technologies, State of Art models and understanding of famous model backbones. Knowledge on containerizing the CV applications as docker or pod and REST API services for DL inference modules. Experience of CV solution deployment on Edge (NVIDIA, etc.) would be big plus. Additional Information Why Bosch Research? At Bosch Research, you will experience a startup culture within a global corporate environment, providing access to cutting-edge research, significant computing infrastructure including large-scale LLM farms, and real-world challenges that demand immediate solutions. Join us to architect scalable, impactful, and state-of-the-art Agentic AI solutions.

Company Description Blend is building a scalable Media Mix Optimization (MMO) solution designed to help clients maximize the impact of their marketing investments. We are seeking a Data Scientist with strong expertise in media mix modeling, statistical modeling, and interactive application development to join our advanced analytics team. This role goes beyond model building — you will design, implement, and productionize end-to-end solutions that integrate statistical rigor with business impact. The ideal candidate will have deep knowledge of marketing analytics, advanced Python skills, and hands-on experience with Streamlit or similar frameworks for interactive data applications. You will be central in creating robust pipelines, experimentation frameworks, and client-facing tools that directly inform media allocation decisions. Job Description Project Overview: Media Mix Optimization (MMO) Our MMO platform is an in-house initiative designed to empower clients with data-driven decision-making in marketing strategy. By applying Bayesian and frequentist approaches to media mix modeling, we are able to quantify channel-level ROI, measure incrementality, and simulate outcomes under varying spend scenarios. Key Components Of The Project Include Data Integration: Combining client first-party, third-party, and campaign-level data across digital, offline, and emerging channels into a unified modeling framework. Model Development: Building and validating media mix models (MMM) using advanced statistical and machine learning techniques such as hierarchical Bayesian regression, regularized regression (Ridge/Lasso), and time-series modeling. Scenario Simulation: Enabling stakeholders to forecast outcomes under different budget allocations through simulation and optimization algorithms. Deployment & Visualization: Using Streamlit to build interactive, client-facing dashboards for model exploration, scenario planning, and actionable recommendation delivery. Scalability: Engineering the system to support multiple clients across industries with varying data volumes, refresh cycles, and modeling complexities. Responsibilities Develop, validate, and maintain media mix models to evaluate cross-channel marketing effectiveness and return on investment. Engineer and optimize end-to-end data pipelines for ingesting, cleaning, and structuring large, heterogeneous datasets from multiple marketing and business sources. Design, build, and deploy Streamlit-based interactive dashboards and applications for scenario testing, optimization, and reporting. Conduct exploratory data analysis (EDA) and advanced feature engineering to identify drivers of performance. Apply Bayesian methods, regularization, and time-series analysis to improve model accuracy, stability, and interpretability. Implement optimization and scenario-planning algorithms to recommend budget allocation strategies that maximize business outcomes. Collaborate closely with product, engineering, and client teams to align technical solutions with business objectives. Present insights and recommendations to senior stakeholders in both technical and non- technical language. Stay current with emerging tools, techniques, and best practices in media mix modeling, causal inference, and marketing science. Qualifications Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field. Proven hands-on experience in media mix modeling, marketing analytics, or econometrics. Strong proficiency in Python and key data science libraries (pandas, NumPy, scikit-learn, statsmodels, PyMC or similar Bayesian frameworks). Experience with Streamlit or equivalent frameworks (Dash, Shiny) for building data- driven applications. Proficiency in SQL for querying, joining, and optimizing large-scale datasets. Solid foundation in statistical modeling, regression techniques, and machine learning. Strong problem-solving skills with the ability to structure ambiguous business problems into data-driven solutions. Excellent verbal and written communication skills to translate technical outputs into business decisions. Preferred Qualifications Experience with Bayesian hierarchical models, time-series decomposition, and marketing attribution approaches. Familiarity with cloud-based platforms (AWS, GCP, Azure) for data processing, model training, and deployment. Experience with data visualization tools beyond Streamlit (Tableau, Power BI, D3.js, Plotly). Exposure to big data ecosystems (Spark, Hadoop) for large-scale data processing. Knowledge of causal inference techniques (propensity scoring, uplift modeling, geo- experiments).

Job Title : Python - AI/ML Engineer Location : Onsite - Gurugram, Haryana Experience Required : 58 Years Employment Type : Full-Time (Payroll) Duration : Long-Term Job Summary We are seeking a passionate and skilled Python AI/ML Engineer to join our team in Gurugram. The ideal candidate will have strong expertise in building and productionizing AI/ML solutions, designing end-to-end pipelines, and applying MLOps best practices. You will work on a variety of ML use cases including classification, regression, NLP, and generative AI tasks, while collaborating with cross-functional teams to deliver scalable and impactful solutions. Key Responsibilities Design, develop, and deploy scalable ML/DL models for classification, regression, NLP, and generative AI. Build and optimize data transformation workflows using Python, Pandas, and related libraries. Lead AI/ML project lifecycles from data ingestion, training, validation, deployment, and monitoring. Implement model observability, monitoring for data drift/concept drift, and ensure continuous evaluation. Develop and expose ML models through REST APIs using frameworks like FastAPI. Ensure high code quality via unit testing, integration testing, and participation in code reviews. Collaborate with Data Engineers, DevOps, and Product Managers to deliver enterprise-grade solutions. Leverage MLOps/DevOps tools to automate ML workflows and CI/CD pipelines. Stay updated with advancements in AI, ML frameworks, Generative AI, and deployment practices. Required Skills & Experience & Python Ecosystem Advanced expertise in Python (5+ years) with Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Strong knowledge of asynchronous programming, concurrency (FastAPI, Starlette). Deep understanding of multithreading, multiprocessing, and Python GIL. Ability to write clean, efficient, and testable code. Machine Learning & Deep Learning Strong grasp of ML fundamentals : classification, regression, regularization, multicollinearity. Hands-on experience with DL concepts : RNNs, transformers/attention, loss functions, GANs, diffusion models. Experience with transfer learning and fine-tuning pre-trained models. MLOps & Model Lifecycle Management Proficiency in ML pipeline design, deployment, and monitoring. Experience handling data drift, concept drift, and model observability. Exposure to automated monitoring and drift alerting frameworks. Software Engineering & DevOps Strong expertise in REST API development and integration. Experience with CI/CD pipelines, Docker, and containerized deployments. Familiarity with cloud-based ML (AWS/Azure/GCP) and logging frameworks. Data Engineering & Problem-Solving Proficiency in dataframe operations : joins, filtering, ranking, mapping, aggregation. Ability to design efficient data preprocessing and transformation workflows. Nice-to-Have Skills Experience working with Generative AI and LLMs (Large Language Models). Familiarity with MLOps platforms (MLflow, Kubeflow, Airflow). Hands-on exposure to NLP, embeddings, and transformer architectures. Contributions to open-source ML projects or active GitHub portfolio. (ref:hirist.tech)

Job Responsibilities Streamline the process of vendor empanelment and evaluation. Regularization of POs towards regular material/job indents received within the timeline and non-regular materials as and when the requirement arises. Regular communication with the internal stakeholders regarding the procurement process. Monitoring of day-to-day requirements of material/job and ensuring timely delivery. 100% adherence to the procurement process and the required approvals Process orientation to ensure each monthly audit or Purchase and vendor management passes without observations. Cross-checking with the internal customers when abnormal material/job quantity is observed in the PRs. Forecasting / Planning of buffer stock. Timely completion of material/job extension requests. Timely completion of material/job creation request. Getting a minimum of 3 comparative quotes for getting best rates. Reduction in average TAT (turnaround time) for closure of indents in SAP. Regular inventory checks with central stores and sometimes involved in deliveries. Ensuring timely submission of invoices/bills from the vendors to finance. Identify vulnerabilities and redundancies in the supply chain. Interaction with the suppliers and agreement on expectations for C metrics. Good Understanding of PI/PO/Invoice processes. Educational qualifications and minimum professional experience needed MBA from a top-tier college with a minimum of 7 years of experience in vendor management, purchasing, and financial management.

Job Title: Freelance Data Science & AI Trainer Job Type: Freelance / Contract Job Description: We are looking for an experienced Data Science & AI Trainer to deliver comprehensive training on data science, machine learning, deep learning, and related technologies. The trainer will be responsible for conducting interactive sessions, guiding learners through practical projects, and ensuring strong conceptual understanding aligned with industry needs. Key Responsibilities: Deliver high-quality training on Data Science, Python Programming, Machine Learning, Deep Learning, and AI concepts. Teach foundational topics such as Excel-based EDA, Statistics, and Python for Data Science. Conduct sessions on Supervised Machine Learning, including regression, classification, model evaluation, and regularization techniques. Provide hands-on training in Feature Engineering, Model Tuning, and Dimensionality Reduction techniques. Train students on Deep Learning concepts including ANN, CNN, RNN, and LSTMs using frameworks like Tensor Flow and Keras. Guide participants through Capstone Projects, helping them with EDA, preprocessing, model selection, evaluation, and deployment. Support learners with career readiness, including mock interviews, resume building, and LinkedIn optimization. Create and share assignments, assessments, and project guidelines for practical learning. Ensure learners understand real-world applications of Data Science & AI by using case studies and industry examples. Required Skills & Expertise: Strong proficiency in Python programming, including Numpy, Pandas, Matplotlib, and Seaborn. Solid understanding of statistical concepts, hypothesis testing, and data visualization. Expertise in Machine Learning algorithms, model evaluation, and tuning techniques. Hands-on experience with Deep Learning frameworks (TensorFlow, Keras). Knowledge of data preprocessing, feature engineering, and dimensionality reduction methods. Familiarity with model deployment and visualization tools (e.g., Streamlit, dashboards). Ability to explain complex concepts in a simplified and engaging manner.

About TULS Corp TULS Corp Pvt. Ltd. is a leading renewable energy and infrastructure consulting company headquartered in Thane, Maharashtra. Over the past decade, TULS Corp has delivered end-to-end consulting services across: Solar PV (ground-mounted, rooftop, and floating solar) Hybrid renewable projects (solar + wind + BESS) Battery Energy Storage Systems (BESS) Transmission, distribution, and evacuation studies Manufacturing advisory for solar modules and cells Techno-Economic Viability (TEV) reports, DPRs, and EPCM consulting Our clients include state utilities, PSUs, private developer, BIG4, and leading corporates. The company has successfully executed projects in India, Africa, Europe, and Asia, partnering with global institutions such as PWC, THDCIL, MAHAGENCO, MSEDCL IIT, MSRDC and many more. TULS Corp with portfolio of 16 GW , is known for its technical depth, integrity, and forward-looking consulting approach , enabling clients to transition toward net-zero and sustainable energy solutions. Recently, we have also expanded our global presence through TULS Sun OC LLP , a joint venture with European partners . This partnership further enhances our expertise and provides international exposure opportunities for our engineers. Position: Graduate Engineer Trainee (GET) Vacancies: 5 (Three Female and Two Male candidates) Duration: 12 months training period Regularization: Successful trainees will be confirmed as Project Engineers after completion of 12 months, subject to satisfactory performance. Compensation Stipend during Training: ₹10,500 per month (lump sum towards expenses). Post Training Salary: ₹25,000 per month (on regularization as Project Engineer). GLOBAL Opportunity: After 1 year, at least two engineers will be selected for a 7-day international training tour with our JV partners in Europe. Mindset: Intelligent, ambitious, problem-solvers with a hunger to learn, innovate, and take ownership. Eligibility Criteria Education: B.E./B.Tech. from any engineering stream . Experience: 0 to 1 year (freshers strongly encouraged to apply). Academic Requirement: Must have secured First Class in all 4 years of engineering. Location Preference: Candidates residing in and around Thane will be preferred. Gender Preference: 3 female and 2 male candidates for this intake. Key Responsibilities Work with senior consultants on feasibility studies, DPRs, and technical due diligence. Support design, BOQs, layouts, and project documentation. Contribute to site surveys, project execution, and quality checks. Collaborate with clients, vendors, and global partners. Assist in presentations, RFPs, and project management activities. You will be: Analytical Thinking: Perform techno-commercial analysis, financial modeling support, and feasibility assessments of large-scale renewable projects. Creative Presentation: Develop impactful reports, dashboards, and client presentations for senior decision-makers in India and abroad. Policy & Strategy: Research government policies, regulatory frameworks, and international best practices to support consulting assignments. Innovation & Problem Solving: Contribute ideas to optimize project costs, improve efficiency, and design innovative solutions for renewable energy challenges. Ownership & Accountability: Take responsibility for deliverables, manage project documentation independently, and support senior consultants in client interactions. Exposure to Global Consulting: Collaborate with partners on technical, financial, and policy matters. Leadership Skills: Gain direct mentoring from industry experts and gradually take ownership of mini-projects within your first year. Key Skills Required Analytical & Problem-Solving Ability Strong aptitude for analyzing technical, financial, and policy data. Ability to break down complex problems and propose practical, innovative solutions. Technical Proficiency Sound knowledge of engineering fundamentals (any stream). Familiarity with MS Excel, PowerPoint, and engineering software/tools will be an added advantage. Interest in renewable energy technologies, solar PV, BESS, and sustainability. Creative & Structured Communication Ability to prepare impactful presentations, client reports, and visual dashboards. Clear, structured, and professional communication skills (written and verbal). Research & Policy Orientation Keen interest in energy policies, government regulations, and international practices. Ability to extract insights from research and translate them into actionable inputs. Ownership & Accountability Self-driven with a sense of responsibility for assigned tasks. Capability to work independently with minimal supervision. Strong commitment to meeting deadlines and maintaining quality. Collaboration & Teamwork Openness to working in diverse teams with senior consultants, clients, and global partners. Ability to contribute effectively in cross-functional and multicultural environments. Leadership Potential Ambition to grow into roles of responsibility within 2–3 years. Positive attitude, resilience under pressure, and strong ethical values. Career Path After successful completion of the training period, GETs will be confirmed as Project Engineers , with career progression opportunities in technical consulting, project management, and international assignments. Job Types: Full-time, Permanent, Fresher Pay: ₹300,000.00 - ₹425,000.00 per year Benefits: Cell phone reimbursement Health insurance Shift availability: Day Shift (Preferred) Work Location: In person

Business FunctionCorporate and Investment Banking provides corporate customers with a full range of commercial banking products and services, including cash management services, current accounts, time deposits, trade finance, working capital finance, term loans and foreign exchange. Through our continued commitment, DBS has cultivated long-standing relationships with its customers in the region that are based on account relationship management, service differentiation, product development and rigorous credit standards.Job Purpose* To support Relationship Management teams in the following activities,* Preparation and submission of Credit Memos to CCG* Completion of documentation formalities in coordination with the client & CCU* Assisting RM in completing client onboarding/KYC reviews, Legal & Valuation reports* Follow up for regularization of overdues* Client servicing in coordination with internal units.* Highlighting any early warning signs of the portfolio to the RMs* Manage the existing portfolio of all clients for the designated relationship teams as well as explore opportunities for cross sell of other banking products and help the team in detecting early warning signals in their portfolios.Key Accountabilities* To prepare accurate credit proposals in a consistent, concise and lucid manner.* To maintain close working relationship with Business Unit to ensure that IBG deliverables are met.* Need-based meeting with customers to understand business and attendant risks.* Cross sell of other products such as trade, cash, foreign exchange etc.* To monitor portfolio for irregularities/ excesses/ breaches/ delays.* Ensure all regulatory reporting & compliances are enforced. Work with the legal team to ensure recoveries & minimize bad debts & NPAs. Also ensure assistance to external & internal audits.* Ensure customer retention & increase in wallet share by constantly monitoring customer satisfaction levels through detailed MIS & tracking of operations & complaints.* Control the quality of the portfolio, using available triggers and adherence to Risk management guidelines and policies.* Monitor levels of complaints and quality of handling.* Communicates all key messages to customers including agreed service standards, negotiated pricing, relationship team contact points (including introductions to new personnel) and new product changes.* Monitor and ensure adherence to risk service standardsJob Duties & Responsibilities* Preparing spreads which are consistent, error-free and in line with classification parameters used in DBS.* Providing concise and relevant financial analysis by clearly identifying risks.* Ensure reviews are completed prior to due date and are error free.* Interact and follow up with clients on required information and clarifications.* Adhere to the risk management guidelines of DBS, MAS and RBI.* Ensuring that irregularities/ excesses in the portfolio are kept within control. Develop and maintain a detailed knowledge of industry sectors within the customer portfolio.* Control and manage the risk profile for the overall Team portfolio.* Manage performance against key financial (risk-adjusted contribution) sales, service and operational targets.* Develop Account Relationship Plans for customers in portfolio.Required Experience* Overall 4-5 years of experience in CAM writing.* A few years of sales experience in cash management/trade finance would be added advantage* Knowledge of competitors and market* Market knowledge and experience in the IBG 1/2 segment, with reference to customer preferences and requirement would be preferable.Education * An MBA or CA with relevant number of years of experience in Corporate BankingCore Competencies* Good written and verbal communication skills* Good Analytical skills.* Self-driven and highly ambitious* Results-orientated & the ability to handle pressure* Relationship building & management skills* Understanding of competitor products* Comfortable with tight deadlinesTechnical Competencies* Sound understanding of asset products and associated technology platforms and operational procedures* Understanding of regulatory guidelines on banking policies issued by MAS/ RBI/SEBI (local regulations in India) and local laws and regulations that impact businesses in general. Understanding of KYC requirements & Anti-money Laundering Policies are critical.* Knowledge of financial markets, products & competitor offerings to assist in meaningful dialogue with clientsWork Relationship* Close interaction with RMs / Branch Manager to ensure consistent on boarding of good quality customers and thereby assisting in delivery of Sales targets.* Close interaction with various stakeholders to ensure consistent and reliable service delivery to the customer.DBS India - Culture & Behaviors* Performance through Value Based Propositions.* Ensure customer focus by delighting customers & reduce complaints.* Build pride and passion to protect, maintain and enhance DBS’ image and reputation.* Enhance knowledge base, build skill sets & develop competencies.* Execute at speed while maintaining error free operations.* Maintain the highest standards of honesty and integrity.Apply NowWe offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.-en

About the job About Senzcraft: Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. Senzcraft vision is to Radically Simplify Today's Work. And Design Business Process For The Future. Using intelligent process automation technologies. We have a suite of SaaS products and services, partnering with automation product companies. Please visit our website - https://www.senzcraft.com for more details Our AI Operations SaaS platform – https://MagicOps.ai Senzcraft on linkedin -> https://www.linkedin.com/company/senzcraft Senzcraft is awarded by Analytics India Magazine in it’s report “State of AI in India” as a “Niche AI startup”. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider. About the Role (Data Scientist): We are looking for a Data Scientist with 4+ years and should have experience in AI/ML, forecasting, segmentation, classification, prediction, and cloud platforms (GCP preferred). Experience in MLOps is required, and familiarity with LLMs is a good advantage. If you are passionate about this role, this opportunity is for you. Must have CLASSIC DATA SCIENCE ALGORITHMS - Intermediate knowledge of common DS algorithms (unsupervised approaches like clustering, regression methods, optimization) - understanding of where these different approaches are applicable and how they might fit together Ability to effectively frame and propose a solution to a problem end to end given a use case or simple business problem statement Understanding of basic linear algebra/matrix theory Understanding of basic code performance considerations (e.g., understanding big-O) Understanding of basic probability & statistics theory Nice to have Example projects to demonstrate all the above Understanding of advanced mathematics (DEs/PDEs, Graph Theory, Optimization Theory, etc.) Experience reviewing and applying academic literature to real world problems Experience with advanced DS algorithms (e.g., LLM fine-tuning, Graph clustering, custom neural network regularization, etc.) Technical Must have Intermediate proficiency using python 3 (HANDS-ON CODING TEST) Intermediate proficiency of at least one graphing & visualization library (e.g., matplotlib, seaborn, plotly, etc.) Intermediate knowledge of common DS stack packages (scipy, sklearn, tensorflow, pytorch, numpy, pandas, etc.) CLASSIC DATA SCIENCE ALGORITHMS Basic to intermediate knowledge of SQL Experience with reading (writing) data from (to) a cloud service (e.g., Google Cloud Storage Experience with deploying ML solutions at scale (e.g., Kubeflow, VertexAI, Airflow, PySpark, etc.)GCP or any cloud is must to have GOOGLE CLOUD EXPERIENCE Minimum Educational Qualifications: Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.) OR Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.) OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics ALSO Knowledge of SQL and various statistical modeling or machine learning techniques Conceptual Work Mode: Hybrid, In-Office (Senzcraft or Client) and Work from Home 👉 Location: Bangalore (Hybrid) 👉 Experience Required: 4+ years 👉 Notice Period: Candidates with 15 days notice periods preferred

Business Function Corporate and Investment Banking provides corporate customers with a full range of commercial banking products and services, including cash management services, current accounts, time deposits, trade finance, working capital finance, term loans and foreign exchange. Through our continued commitment, DBS has cultivated long-standing relationships with its customers in the region that are based on account relationship management, service differentiation, product development and rigorous credit standards. Job Purpose To support Relationship Management teams in the following activities, Preparation and submission of Credit Memos to CCG Completion of documentation formalities in coordination with the client & CCU Assisting RM in completing client onboarding/KYC reviews, Legal & Valuation reports Follow up for regularization of overdues Client servicing in coordination with internal units Highlighting any early warning signs of the portfolio to the RMs Manage the existing portfolio of all clients for the designated relationship teams as well as explore opportunities for cross sell of other banking products and help the team in detecting early warning signals in their portfolios Key Accountabilities To prepare accurate credit proposals in a consistent, concise and lucid manner To maintain close working relationship with Business Unit to ensure that IBG deliverables are met Need-based meeting with customers to understand business and attendant risks Cross sell of other products such as trade, cash, foreign exchange etc To monitor portfolio for irregularities/ excesses/ breaches/ delays Ensure all regulatory reporting & compliances are enforced. Work with the legal team to ensure recoveries & minimize bad debts & NPAs. Also ensure assistance to external & internal audits Ensure customer retention & increase in wallet share by constantly monitoring customer satisfaction levels through detailed MIS & tracking of operations & complaints Control the quality of the portfolio, using available triggers and adherence to Risk management guidelines and policies Monitor levels of complaints and quality of handling Communicates all key messages to customers including agreed service standards, negotiated pricing, relationship team contact points (including introductions to new personnel) and new product changes Monitor and ensure adherence to risk service standards Job Duties & Responsibilities Preparing spreads which are consistent, error-free and in line with classification parameters used in DBS Providing concise and relevant financial analysis by clearly identifying risks Ensure reviews are completed prior to due date and are error free Interact and follow up with clients on required information and clarifications Adhere to the risk management guidelines of DBS, MAS and RBI Ensuring that irregularities/ excesses in the portfolio are kept within control. Develop and maintain a detailed knowledge of industry sectors within the customer portfolio Control and manage the risk profile for the overall Team portfolio Manage performance against key financial (risk-adjusted contribution) sales, service and operational targets Develop Account Relationship Plans for customers in portfolio Required Experience Overall 4-5 years of experience in CAM writing A few years of sales experience in cash management/trade finance would be added advantage Knowledge of competitors and market Market knowledge and experience in the IBG 1/2 segment, with reference to customer preferences and requirement would be preferable Education An MBA or CA with relevant number of years of experience in Corporate Banking Core Competencies Good written and verbal communication skills Good Analytical skills Self-driven and highly ambitious Results-orientated & the ability to handle pressure Relationship building & management skills Understanding of competitor products Comfortable with tight deadlines Technical Competencies Sound understanding of asset products and associated technology platforms and operational procedures Understanding of regulatory guidelines on banking policies issued by MAS/ RBI/SEBI (local regulations in India) and local laws and regulations that impact businesses in general. Understanding of KYC requirements & Anti-money Laundering Policies are critical Knowledge of financial markets, products & competitor offerings to assist in meaningful dialogue with clients Work Relationship Close interaction with RMs / Branch Manager to ensure consistent on boarding of good quality customers and thereby assisting in delivery of Sales targets Close interaction with various stakeholders to ensure consistent and reliable service delivery to the customer DBS India - Culture & Behaviors Performance through Value Based Propositions Ensure customer focus by delighting customers & reduce complaints Build pride and passion to protect, maintain and enhance DBS’ image and reputation Enhance knowledge base, build skill sets & develop competencies Execute at speed while maintaining error free operations Maintain the highest standards of honesty and integrity Apply Now We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements . en Primary Location India-Haryana-Gurgaon-DBIL Job Risk Management Schedule Regular Job Type Full-time Job Posting Aug 23, 2025, 9:30:00 AM

Greetings for the Day…!!! We are hiring for *Sr.Manager-Treasury & Compliance* Exp: - 5-10 years CTC upto 20LPA Location - Mumbai Work Mode - Hybrid Qualification - CA/MBA/CMA Only 1) E-net Banking access and Support (Transaction / View) for Treasury/Business/- Beneficiary Mapping -Treasury/Factoring/Business 2) Bank accounts management: Overviewing and ensuring Account Opening / Closing for W/C accounts Treasury/Business/Trust account. Periodic KYC regularization-updates of Signatory for TML, TMPVL & TPEML and Trust- accounts. 3) Overview of account statement and Opening Balances submission on daily basis to Treasury/Exports/ Business. 4) Overview of Budget Allocation and PO Creation on receipt of, SIO code, SAC code, Follow-up for IDT release, Finance Release, Business release, GDC Release. Upload of Invoice in Kofax. Follow-up with GDC and business for approval and Payment 5) Monthly Provisioning of Outstanding Treasury Invoices. 6) RBI filing - ALM1, ALM2 & ALM3 Filing on monthly/quarterly basis, CP compliances . NCD related compliances 7) DLT compliances of NCD covenants, Understanding of RBI compliances/CIMS platform/ XBLR format. The Adjusted Net Worth (ANW) and CRAR calculation 8) SEBI compliances/ALCO committee LCR ration etc. 9) Rating Compliances - No Default Statement to rating agencies on Monthly Basis. All Credit rating related compliances like stock exchange filing etc. Investment compliances- Filing of Foreign Liabilities & Assets (FLA), Filing of Annual Performance Report (APR) for foreign WOS / JV, Reporting of Investment/Disinvestment of WOS / JV Repatriation of dues like dividend, interest on loan etc. within 60 days of falling due. Foreign Currency Gross Provisional Returns ( FCGPR/ FC-TRS). Step Down Subsidiary reporting ( Inv / DisInv). 10) All Investor relations- All Credit rating related compliances like stock exchange filing etc 11) RBI/FEMA compliances-For Exports and Imports 12) EDPMS/IDPMS- To manage end-to-end compliance of the Export Data Processing and Monitoring System (EDPMS) and Import Data Processing and Monitoring System (IDPMS), by ensuring timely closure of Shipping Bills, Bills of Entry matching inward and outward remittances, coordinating with banks and internal stakeholders, and adhering to RBI guidelines. 13) Detailed compliance checks and regular reconciliation of open shipping bills and IRMs 14) -Banking relationships and liaisoning for these compliances 15) -Tracking, monitoring and reporting 16) -Seeking approvals for extensions for realization of export receivables 17) Foreign branch related compliances - Handling related audits, assessments, developing/strengthening controls. 18) GR Waiver Management- Ensure compliance with RBI/FEMA guidelines for GR waivers and related export documentation 19) System development If you find this interesting and inline with your career aspiration , please share your CV on mrunalini@rightmoveconsultants.com

Responsibilities No. Key Responsibilities Of Role Responsible for production planning, execution planning, production data monitoring, appraisal and control. Execute all dredging tasks efficiently and safely through effective time management, planning, process efficiency and product/service quality. Coordination with clients and port representative at site to appraise dredging progress and project deliverables to the satisfaction of the clients. Take ownership for customer issues and strive to deliver superior customer experience by taking continuous feedback Compliances with port and site safety norms, Project risk assessment and safe execution, Emergency Preparedness & drills, Safety MIS Bathymetry survey planning, scrutiny of bathy Surveys reports and analyze productivity. Progress appraisal on Daily & Weekly production and consumption data, Monthly MIS reports, SAP related tasks, Raising Purchase requisition, SES creations and invoices booking. Manage and mentor junior staff and technical personnel on dredging equipment & machinery. Scrutiny, Regularization and booking of vendors invoices to release payments for services availed. Maintaining technical drawing & Specifications, Keep Geo-Technical data updated, Maintenance & Upkeep of dredger & equipment on-board for optimum output. Bunkers and fresh water supplies to the vessel with optimum use of resources and minimum downtime. Vessel movements planning, crew management and liasoning with Shipping Agents and other external agencies for smooth execution of underlined tasks. Qualifications EDUCATIONAL QUALIFICATIONS: (degree, training, or certification required) Graduate or Engineering Diploma/Degree or B. Tech/ B.E or Minimum Second Mate FG/Dredge Mate Grade-I COC Holder RELEVANT EXPERIENCE: (no. of years of technical, functional, and/or leadership experience or specific exposure required) Minimum 05-07 years of experience in marine field operation preferably dredging field Or Minimum 05-07 years of sailing experience onboard dredgers in capacity of minimum Second Mate level

Responsibilities No. Key Responsibilities Of Role Responsible for production planning, execution planning, production data monitoring, appraisal and control. Execute all dredging tasks efficiently and safely through effective time management, planning, process efficiency and product/service quality. Coordination with clients and port representative at site to appraise dredging progress and project deliverables to the satisfaction of the clients. Take ownership for customer issues and strive to deliver superior customer experience by taking continuous feedback Compliances with port and site safety norms, Project risk assessment and safe execution, Emergency Preparedness & drills, Safety MIS Bathymetry survey planning, scrutiny of bathy Surveys reports and analyze productivity. Progress appraisal on Daily & Weekly production and consumption data, Monthly MIS reports, SAP related tasks, Raising Purchase requisition, SES creations and invoices booking. Manage and mentor junior staff and technical personnel on dredging equipment & machinery. Scrutiny, Regularization and booking of vendors invoices to release payments for services availed. Maintaining technical drawing & Specifications, Keep Geo-Technical data updated, Maintenance & Upkeep of dredger & equipment on-board for optimum output. Bunkers and fresh water supplies to the vessel with optimum use of resources and minimum downtime. Vessel movements planning, crew management and liasoning with Shipping Agents and other external agencies for smooth execution of underlined tasks. Qualifications Education Qualifications: Graduate or Engineering Diploma/Degree or B. Tech/ B.E or Minimum Second Mate FG/Dredge Mate Grade-I COC Holder Relevant Experience Minimum 05-07 years of experience in marine field operation preferably dredging field Or Minimum 05-07 years of sailing experience onboard dredgers in the capacity of minimum Second Mate level

Responsibilities Work Actively as a part of the Computer Vision and Deep Learning Team to Train Computer Vision Models Work Closely with the Data Science Team for Appropriate Dataset Curation Work on Challenging Problem Statements to fine-tune models with Huge Dataset Implementation of the SOTA Architectures for Model Training Work closely with the R&D Team towards improving model accuracy and precision for CCTV cameras Requirements Proficient with Training of Detection/Classification/Segmentation Models with Tensorflow/PyTorch Good understanding of Dataset Quality for Computer Vision Applications. Strong understanding of Model Training Dynamics. Should be able to find out the error and resolve it based on training/eval metrics. Good Theoretical and Practical Knowledge with the fundamentals of Deep Learning, eg. CNNs, Regularization Techniques, etc. Familiarity with State-of-the-Art Models like YOLO-series, Efficient Net/EfficientDet, etc. Experience with using Docker containers for Computer Vision/Deep Learning. How We Work We use Microsoft Teams for daily communication, conduct daily standups and team meetings over Teams. We value open discussion, ownership, and a founder mindset. We prioritize design, amazing UI/UX, documentation, to-do lists, and data-based decision-making. We encourage team bonding through bi-weekly town halls, destressing sessions with a certified healer, and fun company retreats twice a year. We offer a 100% remote workplace model, health insurance, top performers eligible for attractive equity options, mental health consultations, company-sponsored upskilling courses, growth hours, the chance to give back with 40 hours for community causes, and access to a financial advisor. Wobot is an Equal Opportunity Employer If you have a passion for developing innovative computer vision solutions and want to work on cutting-edge technology, we encourage you to apply for this exciting opportunity.

Location :- Mumbai, India Type:- Full-time Experience :- 3-6 years Key Responsibilities :- SEBI LODR/SAST/ PIT Compliance Annual filing of the Companies and LLPs Preparation of Director’s Report and ANNEXURES as per Companies Act, 2013 Appointment and resignation of Auditors, Re-appointment of auditor, Key Managerial Persons, Directors Compliances related to transfer of shares and Corporate Action, etc. Change in the registered office of the company Incorporation of LLP, private company, public company, and LLP Filing of Various Forms with ROC as per the applicability under Companies Act, 2013 Appointment and resignation of CS, appointment and resignation of directors, regularization of directors Maintaining Company Registers under Companies Act, 2013 Preparation of Notice, drafting of Agenda and Minutes for Board Meetings, General Meetings, Attendance Sheet Preferential issue, bonus issue, rights issue etc, ISIN Creation, and other secretarial and legal work

Key Responsibilities Design, develop, and deploy scalable machine learning models for classification, regression, NLP, and generative AI tasks. Build and optimize data transformation workflows using Python, Pandas, and related libraries. Lead AI/ML pipelines from data ingestion to model deployment, monitoring, and retraining. Implement model observability and monitoring for drift detection and continuous evaluation. Develop and deploy REST APIs to integrate ML models with production systems using frameworks like FastAPI. Ensure high code quality through unit/integration testing and code reviews. Collaborate with cross-functional teams including Data Engineers, DevOps, and Product Managers. Stay updated with the latest advancements in AI, ML, and GenAI frameworks and tools. Apply DevOps/MLOps practices to automate and manage the full ML lifecycle. Required Skills Programming & Python Ecosystem : Advanced proficiency in Python with expertise in Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Strong understanding of asynchronous programming, concurrency, and FastAPI (Starlette). In-depth knowledge of multithreading, multiprocessing, and Python GIL. Ability to write clean, efficient, and testable code. Machine Learning & Deep Learning Strong grasp of traditional ML concepts : classification, regression, regularization (L1/L2), overfitting/underfitting, multicollinearity. Experience with deep learning architectures : RNNs, attention mechanisms, dropout, early stopping, GANs, diffusion models. Knowledge of transfer learning and pre-trained model fine-tuning. MLOps Hands-on experience in ML pipeline design including training, deployment, and monitoring. Proficiency in data drift and concept drift detection and mitigation. Familiarity with model observability tools, unstructured data drift monitoring, and automated drift alerts. Software Engineering & DevOps Strong expertise in REST API development, CI/CD pipelines, and integration testing. Experience with Docker and containerized deployments. Familiarity with cloud-based ML deployment (AWS, Azure) and logging/monitoring frameworks. Data Engineering & Problem Solving Strong experience with data wrangling, transformation, joins, ranking, filtering, and preprocessing using Python/Pandas. Ability to handle large datasets and build efficient preprocessing workflows. Nice-to-Have Experience in Generative AI and working with LLMs. Exposure to MLOps tools like MLflow, Kubeflow, or Airflow. Knowledge of transformer-based models, embeddings, and NLP pipelines. Prior contributions to open-source ML frameworks or GitHub repositories. Core Skills & Proficiency Python NumPy PyTorch Machine Learning Deep Learning REST API Development Agile Software Development API Development Generative AI Artificial Intelligence (ref:hirist.tech)

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description As a DM of the process, need to ensure that agents are meeting their productivity and quality. Appropriate coaching and feedback to be given Leave request to be approved and roster to be released ensuring client clearance expectation is met. Monitor and track work allocation, reviewing and addressing pendency, SLA, and TAT adherence. Manage client relationships and ensure effective query resolution. Oversee hiring and staffing to maintain optimal workforce levels in line with projections. Ensure compliance with InfoSec, contractual metrics, and exception approvals. Manage communication and escalations for onshore SLA managers' direct reportees. Proactively identify risks and red-flag potential issues that could impact deliverables. Drive special projects focused on productivity improvement, business continuity planning (BCP), and cross-utilization within sub-processes Operation and Quality Deliverables Track, review, and manage work allocation, ensuring minimal pendency and timely reallocation to meet SLA and TAT commitments Maintain effective client communication and relationship management to ensure seamless process execution and service delivery. Address and resolve operational queries while proactively managing roadblocks that may impact associates working from home or office. Ensure efficient planning, work allocation, and adherence to SLAs. Resolve operational challenges affecting efficiency and client satisfaction. Ensure compliance with contractual and operational metrics. Identify and escalate IT issues, keeping stakeholders and management informed while maintaining a downtime log with relevant incident numbers. Ensure optimal staffing levels based on business projections and workforce planning needs. Drive continuous improvement initiatives in workforce management Serve as a key point of contact for escalation management, ensuring efficient communication with onshore SLA managers and direct reports. Lead productivity enhancement initiatives at both the process and agent levels, implement Business Continuity Planning (BCP), and drive cross-utilization within sub-processes. WNS & BA Compliance Completion of WNS training within 1 month of onboarding. Completion of all BA mandatory trainings within 7 days from the date of joining. Oversee attendance, leave regularization, schedule adherence, and team communications, ensuring compliance with company policies and procedures. Conduct one-on-one meetings and facilitate necessary training or coaching sessions. Ensure timely and accurate internal and client reporting for process transparency Ensure adherence to InfoSec policies, contractual metrics, and exception approval processes. SKILLS AND KNOWLEDGE Computer Literate Graduate. Minimum 3-4 years of relevant work experience preferred. Advanced ISO Awareness training. Strong analytical skills with a quick learning ability. Attention to detail and problem-solving skills. Methodical, structured, and organized approach to work. Customer service orientation. Excellent communication and presentation skills. Strong sense of responsibility and accountability. Understanding of operational processes and workforce management. Proficiency in MS Office. Effective team player with the ability to manage stress and multitask. Qualifications Graduate

📢 We’re Hiring! | Finance Executive (Entry-Level) 📍 Location: Howrah, West Bengal 🏢 Company: Vedika Metals Pvt. Ltd. 🕒 Type: Full-Time | 0–2 Years Experience Are you looking to launch your finance career in a fast-growing trading firm? Join Vedika Metals as a Finance Executive and get hands-on exposure to end-to-end finance operations. 🔧 Key Responsibilities Include: 💳 Accounts Payable & Receivable • Maintain daily records of debtors & creditors • Track payment cycles & due dates • Calculate TDS, GST & vendor payments • Process online banking uploads for approvals 🏦 Banking & SAP Operations • Reconcile bank entries with SAP • Assist with stock statements & drawing power reports • Calculate interest on loan accounts (CC/WCDL/EPC/Home Loan) • Liaise with banks daily for operational issues 💱 Foreign Currency Transactions • Manage paperwork for inward/outward forex remittances • Handle export bill regularization, Form 15CA, forward contracts 📊 Additional Responsibilities • TDS/Vendor ledger reconciliation • Invoice discounting via RBI portal 🎯 You Should Have: 🎓 M.Com or equivalent degree 📊 Excel skills | ERP/SAP knowledge is a plus 📚 Understanding of GST, TDS, and banking workflows 💡 Sharp attention to detail & willingness to learn 🌟 What You’ll Gain: ✅ Real-time exposure to diverse financial functions ✅ Mentorship from experienced finance professionals ✅ Growth opportunities in a thriving trading company 📩 Ready to apply? Send your resume to: hr@vedikametals.com 📝 Subject: Application for Finance Executive

This role is for one of the Weekday's clients Min Experience: 0 years Location: Gurgaon JobType: full-time We are seeking a Computer Vision Intern to contribute to advancing our AI-powered visualization tools. The ideal candidate will have hands-on experience with computer vision, deep learning, and machine learning techniques. You will work on improving visual accuracy and realism by leveraging models such as Stable Diffusion and other generative AI technologies. This is an opportunity to apply cutting-edge research to real-world applications and shape the future of AI-driven visualization. Requirements Key Responsibilities Evaluate and select appropriate models for specific tasks through R&D. Fine-tune deep neural networks on custom datasets. Benchmark and analyze model performance. Integrate trained models into production environments. Optimize inference using methods such as quantization. Qualifications Currently pursuing or recently graduated with a Bachelor's/Master's in Computer Science, Electronics & Communication, or related fields. Proficiency in Python (C++ knowledge is a plus). Understanding of core deep learning concepts: regression, classification, gradient descent, backpropagation, regularization, CNNs, transformers, GANs, diffusion models, etc. Exposure to computer vision techniques: image generation pipelines, object detection (YOLO, Faster R-CNN), epipolar geometry, photogrammetry, etc. Familiarity with computer graphics concepts: rasterization, global illumination, spatial data structures, etc. Technical Skills CNNs, Diffusion Models, 3D Vision, Object Detection, Image Processing, PyTorch, Computer Vision, Deep Learning, Machine Learning, Generative AI Soft Skills Strong analytical and problem-solving abilities. Clear communication skills to explain complex ideas and architectures. Proactive, collaborative, and eager to contribute in a team environment