45 Boosting Jobs

Full time with Japan MNC Senior Software Engineer - AI/ML Engineer We are seeking an experienced AI/ML Engineer with a strong academic and research foundation to contribute to the design, development, and implementation of advanced machine learning and deep learning solutions. The role requires expertise in state-of-the-art architectures, model optimization, and problem-solving applied to real-world scenarios. Qualifications Mandatory: M.Tech in AI/ML with background in Electronics & Communication (EC) or Computer Science (CS). Experience: 4+ years total, with at least 3+ years relevant in AI/ML domain. Core Skillset (Must-Have): Expertise in Deep Learning architectures: CNN, RNN, GNN, Trans...

Role Overview: At PE, we are focused on building applications where financial decisions are driven by data, adaptive, and tailored to specific domains. We leverage AI/ML to extract hidden patterns from vast amounts of data across different industries, aiming to enhance businesses and improve overall quality of life. Key Responsibilities: - Utilize AI to identify patterns and correlations that are deeply embedded within Big Data. - Develop an AI system capable of selecting the optimal response from millions of potential options across various scenarios, ranging from capital markets to healthcare. - Ensure the accuracy of our platform by consistently evaluating and improving the predictions we...

As a Data Scientist Associate Manager at Accenture, your role will involve leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Working closely with cross-functional teams, you will conceptualize and deploy platforms to identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. **Key Responsibilities:** - Analyze procurement spend using various techniques to classify into a custom taxonomy in Accenture's spend analytics tool. - Participate in calls with stakeholders to gather data from different sources like email, Dropbox, Egnyte, and databases. - Lead assessment of data quali...

Role & responsibilities Proficient in Python with strong credit risk and BFSI domain knowledge , including experience with banks, NBFCs, or FinTechs. Build AI/ML models for credit originations, behaviour, and collections using techniques such as linear/logistic regression, boosting, and bagging. Apply solid understanding of scikit-learn and statsmodels for model development. Work extensively with bureau data for analytics and modelling. Develop frameworks for model validation, monitoring, and documentation . Manage multiple projects simultaneously while ensuring quality and timely delivery. Demonstrate strong technical skills in Python, PySpark, SQL , and Git . Communicate insights clearly w...

As an Assistant Director, Risk Modeling and Monitoring at HSBC, you will play a crucial role in developing and implementing data science applications for higher business value. Your responsibilities will include: - Having a fundamental understanding of ML models such as Boosting, Random Forests, Deep Learning, Anomaly Detection, and Unstructured Data Analysis, as well as major Statistical algorithms used in Credit Scoring and Strategy. - Partnering with functional business leaders to create data science applications that can be deployed across regions and markets. - Translating key analytical solutions into generic and re-deployable strategies. - Assessing the relationship between recommende...

As a Data Scientist at NiCE, you will be part of a dynamic team dedicated to solving complex fraud-related problems using advanced analytics and machine learning techniques. Your role will involve working with large, complex datasets to analyze fraud cases, build predictive models, and enhance existing models to detect and prevent fraudulent transactions effectively. Key Responsibilities: - Analyze fraud cases and identify inconsistencies in large, complex datasets. - Build, validate, and optimize machine learning models for fraud detection and prevention. - Research data patterns to predict fraudulent transactions and improve model performance. - Enhance existing models using advanced compu...

Job description Role name Data Scientist 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....

Job Title: Clinical Data Scientist - Axtria Clinical Center of Excellence Location: Gurugram & Pune (preferred), Noida, Bengaluru, Hyderabad Core Responsibilities: As a Clinical Data Scientist, you will independently perform data analysis, data mining on various clinical trial data sources. You will develop, test, productionize and maintain AI/ML/GenAI models. You will leverage cloud-based solutions for scalable data processing and collaborate with cross-functional teams to deliver cutting edge data science solutions. Domain Experience Skills and Experience : Should have knowledge of Clinical R&D domain with hands on experience on data sources from one more clinical business functions e.g. C...

Job description Role name Data Scientist 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....

ABOUT SAIVA AI SAIVA AI applies machine learning to make optimal use of electronic health data for the most vulnerable healthcare population. Our mission is to improve patient outcomes by augmenting clinical decision-making with the power of AI. Based in Silicon Valley, our team is a group of passionate healthcare technology veterans, engineers, and data scientists, including from Stanford University, leveraging cutting edge technology to predict patient risk and provide tools that drive timely intervention. POSITION DESCRIPTION As a Senior Applied ML Scientist, you will build and improve models across structured and unstructured clinical data, pairing boosting models with language models to...

Role Overview: As a Data Science Specialist in Spend Analytics and Project Management at Accenture, you will lead the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your role will involve working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Key Responsibilities: - Analyze procurement spend using various techniques to classify into a custom taxonomy in Accenture's spend analytics tool. - Participate in calls with stakeholders to gather data from sources like email, Dropbox, Egnyte, and databas...

Job description Role name Data Scientist 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....

Role description A Position Overview Position Title Data Science Department TDABSG Level/ Band VP Role Summary : He or She will be responsible for advancing analytics opportunities in the BFSI* sector, managing project delivery, people, and stakeholders. The ideal candidate will have a strong background in advanced analytics and experience in leading high-impact analytics solutions and programs with Indian clients. He/she should have setup and managed large, scaled Business intelligence unit B Organizational Relationships Reports to SVP Supervises NA C Job Dimensions Geographic Area Covered Pan India Stakeholders Internal TDA-BSG and all other TATA AIA internal departments External Partners ...

Data Science with GenAI (Sr. Manager) Location Bengaluru, Karnataka, Work Mode Work from Office (Full-time) The candidate will drive advanced analytics opportunities in the BFSI sector , leading end-to-end project delivery, stakeholder engagement, and team management. The ideal professional will bring a strong background in advanced analytics and proven success in delivering high-impact solutions for Indian clients. Key Skills Strong proficiency in Python (NumPy, Pandas, Scikit-learn, etc.). Expertise in handling massive datasets (local/distributed) using tools such as Apache Spark, Vaex, Dask. Hands-on experience in building and deploying models including: Promotion optimization, NLP (BERT,...

Role Overview: As a Data Science Specialist in Spend Analytics and Project Management at Accenture, you will lead the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your role involves working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Key Responsibilities: - Analyze procurement spend using various techniques to classify into a custom taxonomy in Accenture's spend analytics tool. - Participate in calls with stakeholders to gather data from sources like email, Dropbox, Egnyte, and databases. ...

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role Responsibilities: The successful candidate will be responsible to manage and controls model risk, specifically associated ...

Job description Role name Data Scientist 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....

Job Description At American Express, our culture is built on a 175-year history of innovation, shared and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role Responsibilities: The successful candidate will be responsible to manage and controls model risk, specifically as...

Job Description At American Express, our culture is built on a 175-year history of innovation, shared and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do pr...

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Design, develop, and deploy scalable AI/ML models to solve complex business challenges Le...

As an AVP - Data Science at GenAI, you will be responsible for driving advanced analytics opportunities in the BFSI sector. Your role will involve leading end-to-end project delivery, stakeholder engagement, and team management to deliver high-impact solutions for Indian clients. **Key Responsibilities:** - Build strong partnerships with BFSI clients and channel partners - Communicate methodologies effectively to drive stakeholder confidence - Scope, plan, and deliver end-to-end analytics projects - Design and deploy high-impact data science and GenAI models - Mentor, coach, and upskill junior data scientists - Ensure adherence to SOPs, documentation, and governance frameworks **Qualificatio...

As an AI/ML (Associate Role) at Navaera Worldwide, you will have the opportunity to work in the areas of Data Analytics, Computer vision, NLP, OCR related tasks. Your responsibilities will include data collection, dataset preparation, architecture modeling, model training/testing, and deployment. Additionally, you will be expected to handle digital data extraction and processing, create training and testing pipelines with different aspects of data, and develop model architecture from scratch or transform pre-trained models. Staying updated with the latest AI trends to ensure the process is up-to-date is crucial. You will also identify opportunities for process improvements and recommend syst...

Responsibilities: * Lead data science initiatives from ideation to implementation. * Develop predictive models using ML, DL & NLP techniques. * Collaborate with cross-functional teams on project delivery. Provident fund

Location Chennai Shift 12 to 9pm Years of experience 8 to 14 years Must have skills Data Science, ML, Python, LLM, Agentic AI, GenAI PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience Experience in creating GenAI and Agentic AI applications Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artific...

Data Scientist (AI & LLM) Experience: 8 to 11 years Shift: 12-9 PM Shift Location: Chennai Work Mode: Office PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience Experience in creating GenAI and Agentic AI applications Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc...