17 Boosting Jobs

Role Overview: At PE, we are dedicated to building applications that drive financial decisions through data-driven insights, adaptability, and domain expertise. Leveraging AI/ML technologies, we aim to uncover hidden patterns in vast amounts of data across various industries, fostering business growth and improving quality of life. Key Responsibilities: - Utilize AI/ML techniques to identify and analyze hidden patterns and correlations within extensive datasets. - Develop an AI system capable of selecting the optimal response from a multitude of options across diverse scenarios, ranging from capital markets to healthcare. - Ensure the accuracy and reliability of our platform by consistently ...

Role Overview: As a Data Scientist at mPokket, you will be responsible for collaborating with the data science team to plan projects and build analytics models. Your strong problem-solving skills and proficiency in statistical analysis will be key in aligning our data products with our business goals. Your primary objective will be to enhance our products and business decisions through effective utilization of data. Key Responsibilities: - Oversee the data scientists" team and data specialists, providing guidance and support. - Educate, lead, and advise colleagues on innovative techniques and solutions. - Work closely with data and software engineers to implement scalable sciences and techno...

As a Data Scientist Associate Manager at Accenture, you will play a crucial role in leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your responsibilities will involve collaborating with cross-functional teams to create platforms that identify cost-saving opportunities, enhance supplier management, and provide business intelligence to enterprise clients. Your main tasks will include analyzing procurement spend through various techniques to classify it into a custom taxonomy within Accenture's spend analytics tool. You will also be involved in gathering data from different sources during calls with stakeholders, assessing data quality, ...

We are hiring an ML Engineer/ML Ops Engineer with 5+ years’ experience to design scalable ML pipelines, deploy production-ready models, and implement CI/CD for enterprise AI systems. Strong skills in ML algorithms, MLOps, & data engineering required. Required Candidate profile Experienced ML/MLOps Engineer with expertise in ML pipelines,scalable model deployment,CI/CD,automation, & advanced machine learning algorithms.Strong background in software engineering &data systems.

Job description Key Responsibilities Understand business requirements by engaging with business teams. Data extraction from valuable data sources & automating data collection process. Data processing, cleaning and validating integrity of data to be used for analysis. Exploratory data analysis to identify trends and patterns in large amount of data. Build machine learning based models using algorithms and statistical techniques like Regression, Decision trees, Boosting etc. Present insights using data visualization techniques. Propose solutions and strategies to various complex business challenges Build GenAI models using RAG frameworks for chatbots, summarisation etc. Develop model deployeme...

Job description Key Responsibilities Understand business requirements by engaging with business teams. Data extraction from valuable data sources & automating data collection process. Data processing, cleaning and validating integrity of data to be used for analysis. Exploratory data analysis to identify trends and patterns in large amount of data. Build machine learning based models using algorithms and statistical techniques like Regression, Decision trees, Boosting etc. Present insights using data visualization techniques. Propose solutions and strategies to various complex business challenges Build GenAI models using RAG frameworks for chatbots, summarisation etc. Develop model deployeme...

You should possess a Master's or PhD degree to be considered for this role. You must have experience in object detection, tracking, classification, recognition, scene understanding, and facial expression analysis. Proficiency in ML techniques such as SVM, boosting, K-means, KNN, HMM, GMM, Ensemble classifier, deep learning, etc., is required. It is essential to have international publications in relevant fields in top-tier conferences and journals. A strong mathematical understanding of signal processing algorithms is necessary, along with up-to-date knowledge of recent trends in machine learning/vision. You should have a solid background in image and video processing techniques, specificall...

Job Description The Lead Data Scientist will deliver on activities related to the strategy, design, development, implementation of Data Science, Artificial Intelligence (AI) and Machine Learning (ML) for enterprise application functions. Frequently interacting with key stakeholders, the Data Scientist will lead and create advanced analytics models from conceptualization to completion. This position will support different products or lines of businesses to build innovations around AI. Responsibilities Collaborate with business functions/stakeholders on discovery for data science idea generation, provide ideas and influence as well as drive changes End-to-end ownership of work from ideation to...

About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers. The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. ________________________________________ Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and ...

About Info Edge InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behavior, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to em...

As a Data Scientist Associate Manager at SC&O - S&P I&F Decision Science, you will play a crucial role in leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your responsibilities will involve collaborating with cross-functional teams to create platforms that identify cost-saving opportunities, improve supplier management, and provide valuable business intelligence to enterprise clients. One of your key duties will be to analyze procurement spend using various techniques to classify it into a custom taxonomy within Accenture's spend analytics tool. You will also be involved in collecting data from different sources through interactions wi...

As a Data Scientist Associate Manager in the SC&O - S&P I&F Decision Science team at Accenture, you will play a crucial role in leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your responsibilities will involve collaborating with cross-functional teams to create platforms that drive cost-saving opportunities, improve supplier management, and provide valuable business intelligence to our enterprise clients. Your primary roles and responsibilities will include analyzing procurement spend through various techniques to classify it into a custom taxonomy within Accenture's spend analytics tool. You will also be involved in collecting data ...

Navaera Worldwide is a global, full-service firm specializing in advanced knowledge management products and services tailored to assist Financial organizations in enhancing operational efficiency, managing risk, detecting fraud, and gaining a competitive advantage. The company, a privately held entity, boasts a diverse client base across the globe, including major corporations within the financial services industry. Navaera Worldwide, under the brand Navaera Global Services, offers sophisticated business products and solutions to organizations of varying sizes. With offices situated across three continents, Navaera Worldwide's global headquarters is based in New York, with additional locatio...

ABOUT THE ROLE Hunger Tail, a fast-growing pet care and nutrition brand, is looking for a Performance Marketing Manager with 46 years of experience to drive our digital growth. Youll lead multi-channel campaigns across Meta, Google, ecommerce (Amazon, Flipkart), quick commerce (Swiggy Instamart, BlinkIt), and affiliate platforms, optimizing our mid-funnel performance and boosting ROAS WHAT YOULL DO Lead end-to-end campaign planning, execution, and optimization across Google Ads, Meta (FB/Instagram), e-commerce platforms (Amazon, Flipkart), Q-commerce (Swiggy Insta, BlinkIt), and affiliate networks. Own media budget planning and forecasting across digital channels. Build daily, weekly, and mo...

AI/ML Engineer to join our fast-growing. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven applications that deliver business value and customer impact. Key Responsibilities Research and develop machine learning models using supervised, unsupervised, or reinforcement learning techniques. Deploy models into production using MLOps best practices (e.g., containerization, CI/CD, model monitoring). Work on datasets involving structured and unstructured data (e.g., text, image, video, time-series). Collaborate with data engineers, product managers, and other stakeholders to define problem statements and deliver solutions. Continu...

Key Responsibilities Work hands-on for critical risk modeling projects as well support team&rsquos project deliverables with statistical and domain expertise .Works hands-on in development, re-development and calibration of Credit Decision Scorecards .Develop presentations to be shared with senior client management .Data and quantitative analysis to support modeling decisions .Leading development of model methodologies, algorithms and diagnostic tools for testing model robustness, sensitivity and stability .Detailing model techniques and interpretation of variables used in the models to be documented and presented to client Stakeholders .Validation for the source data quality, forecast data ...

So, what’s the role all about? Within Actimize, the AI and Analytics Team is developing the next generation advanced analytical cloud platform that will harness the power of data to provide maximum accuracy for our clients’ Financial Crime programs. As part of the PaaS/SaaS development group, you will be responsible for developing this platform for Actimize cloud-based solutions and to work with cutting edge cloud technologies. How will you make an impact? NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions & has been consistently ranked as number one in the space At NICE Actimize, we recognize th...