1130 Model Development Jobs - Page 25

Location: Ahmedabad / Hyderabad (Work from office mandatory) The Key responsibilities are: Proficiency in Python, SQL, and distributed data technologies (Hive, Spark) Minimum Type of Experience the Job Requires 4+ years of industry experience, with experience in machine learning, data analysis, and business analysis Fluency in Python, R, SQL Experience in computer vision or natural language processing is a plus. Other Ability to draw insights and present conclusions from data to inform model development and business decisions. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences. Deep understanding of Machine Learning concepts and sta...

About the role: This is a highly technical position where the candidate will be responsible for understanding the requirements and designing solutions for machine learning models and AI algorithms to support the Blackbaud Artificial Intelligence (AI) initiative across multiple projects/business units. The candidate must be able to articulately present expertise in data modeling and data science as well as MLOps . The ideal candidate will be goal-oriented, independent, motivated, self-driven, result-oriented, and act as an agent of change. The candidate must act as an influencer, be pragmatic, function as a team player, be able to handle multiple competing priorities in a dynamic environment,...

In this role you will work on SoC/Sub-system level Emulation model development and design bring up on Zebu/Veloce HW platforms. Additionally, you will work closely with design, verification, validation, and SW teams to implement emulation testbench (XTORs, Speed Adaptors) and features required to develop content on emulation models. You would develop tests to qualify models. Key Skills 8-15 years of experience on SoC/Sub-system Emulation of multi-million gate and complex design with multiple clocks and power domains Experience in microcontroller architecture, Cores ARM A/M series, Interconnect (NIC, FlexNoC), Protocols like AHB, AXI, Memory (Flash, SRAM, DDR4/5), and memory controllers Exper...

DWS Risk Manager - Investment Risk Models, AVP Position Overview Job Title: DWS Risk Manager - Investment Risk Models, AVP Location: Pune, India Role Description Today, markets face a whole new set of pressures - but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. We're looking for creative thinkers and innovators to join us as the world continues to transform. As whole marke...

Media Intern ABOUT THE ROLE Centre for Wildlife Studies (CWS) is recruiting a GIS/ RS Fellow to work on a range of ongoing and upcoming research and conservation research projects with national and international collaborators. KEY RESPONSIBILITIES 1. Satellite Data Algorithm Identification: Identify various satellite datasets and algorithms for detecting forest fires. 2. Model Development for Wildfire Prediction: Prepare the AI/ML models to predict wildfires. 3. Field Assessment of Model Performance: Travel to field sites and assess the performance of AI/ML models 4. API Development Training: Develop API to host models through Power BI and train forest department staff to use it. 5. Manuscri...

Core Technical Skills: Power BI Development, Advanced DAX, Complex Data Modeling, Power Query (M Language), Star/Snowflake Schema design, My SQL, Stored Procedures/Views, troubleshooting performance issues (DAX, visuals, gateway), Auditing and ensuring data accuracy and consistency, Google Cloud Platform, Dataflows (Optional)Integration & Advanced Features: Integration with Other tools such as Power Automate, API & REST API usage for automation, NLP Feature, and AI VisualsBusiness & Analytical Skills: Ability to translate business KPIs into effective dashboards, Storytelling through data and visual insights, 360 degree review of all reports available to discover redundancies and optimize das...

Model Validation (Credit risk/ Market risk) We are hiring for a leading Financial KPO organization based at Bangalore/Gurugram/ Kolkatta Position : Experience : 8-10 yrs in experience in model validation/ development, quantitative modelling Strong understanding of model risk, validation frameworks, and regulatory requirements. Strong technical skills in python for model development. Education : B.tech/ Masters / MBA - in Economics, Mathematics, Statistics, Finance, Computer science Role & Responsibilities : Responsible for being validator for a wide range of models like IRRBB, credit risk, market risk, counterparty credit risk, fraud detection, Stress Testing, AML and forecasting models Work...

Optum's Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search. Primary Responsibilities: Own the end-to-end data science lifecycle - from problem definition and experimentation to deployment, monitoring, and continuous improvement Design and deploy robust, explainable, and scalable ML models for clinical document understanding, ...

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities: Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applicat...

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities: Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applicat...

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities: Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applicat...

Key Responsibilities: Model Development: Design, train, and deploy machine learning models for various applications, including predictive analytics, NLP, recommendation systems, etc. Data Preprocessing: Clean, preprocess, and transform raw data into formats suitable for machine learning algorithms. Algorithm Optimization: Tune and optimize machine learning models for performance, scalability, and accuracy. Collaboration: Work with cross-functional teams to gather requirements, iterate on model improvements, and integrate models into production systems. Model Evaluation: Implement robust testing and validation methodologies to ensure the accuracy and reliability of models. Research & Innovati...

Key Responsibilities: Model Development: Design, train, and deploy machine learning models for various applications, including predictive analytics, NLP, recommendation systems, etc. Data Preprocessing: Clean, preprocess, and transform raw data into formats suitable for machine learning algorithms. Algorithm Optimization: Tune and optimize machine learning models for performance, scalability, and accuracy. Collaboration: Work with cross-functional teams to gather requirements, iterate on model improvements, and integrate models into production systems. Model Evaluation: Implement robust testing and validation methodologies to ensure the accuracy and reliability of models. Research & Innovati...

Key Responsibilities: Model Development: Design, train, and deploy machine learning models for various applications, including predictive analytics, NLP, recommendation systems, etc. Data Preprocessing: Clean, preprocess, and transform raw data into formats suitable for machine learning algorithms. Algorithm Optimization: Tune and optimize machine learning models for performance, scalability, and accuracy. Collaboration: Work with cross-functional teams to gather requirements, iterate on model improvements, and integrate models into production systems. Model Evaluation: Implement robust testing and validation methodologies to ensure the accuracy and reliability of models. Research & Innovati...

Key Responsibilities: Model Development: Design, train, and deploy machine learning models for various applications, including predictive analytics, NLP, recommendation systems, etc. Data Preprocessing: Clean, preprocess, and transform raw data into formats suitable for machine learning algorithms. Algorithm Optimization: Tune and optimize machine learning models for performance, scalability, and accuracy. Collaboration: Work with cross-functional teams to gather requirements, iterate on model improvements, and integrate models into production systems. Model Evaluation: Implement robust testing and validation methodologies to ensure the accuracy and reliability of models. Research & Innovati...

Key Responsibilities: Model Development: Design, train, and deploy machine learning models for various applications, including predictive analytics, NLP, recommendation systems, etc. Data Preprocessing: Clean, preprocess, and transform raw data into formats suitable for machine learning algorithms. Algorithm Optimization: Tune and optimize machine learning models for performance, scalability, and accuracy. Collaboration: Work with cross-functional teams to gather requirements, iterate on model improvements, and integrate models into production systems. Model Evaluation: Implement robust testing and validation methodologies to ensure the accuracy and reliability of models. Research & Innovati...

Were Hiring! AI/ML Intern. Are you passionate about artificial intelligence and looking to kickstart your career in machine learning? Join EICE as an AI/ML Intern and get hands-on experience working on real-world challenges in machine learning, generative AI, and advanced domains like LLMs, GenAI, and retrieval-augmented generation (RAG/REAG). What youll work on: 1. Intelligent system development 2. Generative AI & data-driven solutions 3. Data preprocessing, model development & deployment 4. Cutting-edge projects using advanced AI technologies Internship Mode : onsite

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine...

In this role, you will: Lead or participate in moderately complex initiatives and deliverables within Securities Quantitative Analytics Contribute to large-scale departmental planning Combine mathematical programming and market expertise to build and generate systematic strategies Review and analyze moderately complex business, operational, or technical challenges within Securities Quantitative Analytics that require an in-depth evaluation of variable factors Use quantitative and technological techniques to solve complex business problems Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation Resolve moderately comple...

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Assoc Mgr Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 10 to 14 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 cou...

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills :Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are ...

Role Description: You will support a wide range of transport planning services, including but not limited to: Multimodal transport strategy development Future mobility planning (EVs, MaaS, alternative fuels) Business case and funding bid support Multimodal and junction modelling Pedestrian and active travel planning Feasibility studies and concept design Transport inputs to masterplanning and planning applications Behaviour change and sustainable travel strategies Local operational modelling and transport assessments Role Accountabilities: Experience in transport modelling (e.g. highways, public transport, multimodal) Knowledge of strategic model development and application Proficiency in to...

Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation : Lead the team of data scientists, GenAI developers and ML engineers in hands-on mode. The team is engaged in developing and deploying advanced LLM, SLM and RAG based models along with classical machine learning models including anomaly detection, predictive analytics, causal inferencing and action recommendation models, to develop pipelines that autonomously discover problems, identify root causes and recommend actions in real-time and batch processing scenarios while ensuring that models are interpretable, scalable, and optimized for performance in production environments at big data scale. Gen-AI-Powered Analysis ...

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and...

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9...