1119 Model Development Jobs - Page 13

As an AI Lead or Architect at V Ascendus International Tech Park in Hi-Tech City, Hyderabad, your main responsibility is to oversee the development, implementation, and growth of the organization's Artificial Intelligence (AI) initiatives. **Key Responsibilities:** - **Solution Design and Architecture** - Develop end-to-end AI/ML solution architectures, including data ingestion, model development, and deployment. - Define and document AI architecture blueprints, best practices, and standards. - Evaluate and select appropriate AI frameworks, tools, and technologies for project requirements. - **Practice Development** - Build and manage a team of AI specialists, data scientists, machine learni...

You will be responsible for building the machine learning production system (MLOps) to help large companies transition into AI-driven organizations. As an MLOps Engineer, you will collaborate with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your key responsibilities will include: - Enabling model tracking, experimentation, and automation - Developing scalable ML pipelines - Building MLOps components using Model Repository (e.g., MLFlow, Kubeflow Model Registry) and Machine Learning Services (e.g., Kubeflow, DataRobot, HopsWorks, Dataiku) - Working across all phases of the Model development life cycle to build MLOps components - Buildin...

Overview The Workplace Technology (WPT) team is focused on building intelligent and automated solutions that enhance employee productivity, streamline IT processes, and improve digital workplace experiences. As an AI Engineer in this team, you will: Design and build scalable AI-driven solutions to address diverse workplace technology challenges. Create automations using agentic workflows to enable systems that can reason, act, and coordinate across multiple tools and processes. Integrate and adopt to new technologies/platforms to deliver next-generation digital workplace capabilities. Ensure the solutions are secure, reliable, and efficient, supporting the growth and transformation of workpl...

Sapiens is on the lookout for a Senior Data Scientist to become a key player in our Bangalore team. If you're a seasoned Data Scientist pro and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit. Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity. This position will be part of Sapiens Digital (Data Suite) division, for more information about it, click here: We are looking for an enthusiastic Senior Data Scientist with a foundational understanding of data science principles and an interest in the insurance industry. The role involves working alo...

We are seeking a Generative AI Engineer with expertise in GenAI technologies to design, fine-tune, and deploy cutting-edge AI models for various business applications. This role involves working with Large Language Models (LLMs) , Natural Language Processing (NLP) , text-to-image generation , and Azure AI services to drive innovation and deliver AI-powered solutions. Key Responsibilities: Generative AI Model Development Design, fine-tune, and deploy state-of-the-art Generative AI models for business applications. Train and customize LLMs for domain-specific use cases. Work with NLP, text-to-image generation , and other AI modalities . Azure OpenAI Integration Utilize Azure OpenAI Service for...

About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the entire machine learning lifecycle from data wrangling to deployment without relying on a dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive business outcomes. Key Responsibilities : Own the full ML pipeline : data ingestion, cleaning, feature engineering, model development, deployment, and monitoring. Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost, TensorFlow, or PyTorch. Deploy models using Databricks , MLflow , and c...

We are looking for a skilled Anaplan Model Builder with 4 to 6 years of experience to join our team in Gurgaon and Bangalore. The ideal candidate will have expertise in model development and business process architecting using EPM tools. Roles and Responsibility Design and develop complex models using Anaplan, ensuring data accuracy and integrity. Collaborate with stakeholders to understand business requirements and translate them into effective models. Develop and maintain databases, data warehouses, and data integration systems. Create reports, dashboards, and visualizations to support business decision-making. Troubleshoot and resolve issues related to model performance and data quality. ...

Meta is looking for a Software Engineer, Machine Learning to join our dynamic team and embark on a rewarding career journey. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services. The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis. Responsibilities: Problem Definition: Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions. Translate business req...

We are looking for a skilled ML/DL Lead Senior Data Scientist with 7 to 12 years of experience to join our team in Pune. The ideal candidate will have a strong background in Machine Learning and Deep Learning, with excellent data analysis and problem-solving skills. Roles and Responsibility Develop and implement machine learning models and algorithms to solve complex problems. Collaborate with cross-functional teams to design and deploy deep learning models. Work on large datasets to train and validate machine learning models. Design and implement data pipelines and architectures to support machine learning model development. Stay updated with industry trends and advancements in machine lear...

We are looking for a skilled Data Scientist with 8-10 years of experience to join our team in Bangalore. The ideal candidate will have expertise in data science, advanced analytics, and machine learning. Roles and Responsibility Develop and implement data models and algorithms to drive business growth. Analyze complex data sets to identify trends and patterns. Design and deploy data visualization tools to communicate insights to stakeholders. Collaborate with cross-functional teams to integrate data-driven solutions into existing systems. Develop predictive analytics models to forecast future business outcomes. Implement statistical modeling techniques to optimize business processes. Job Req...

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: Delivery - Financial Risk Data & Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AIStrengthen the management of credit, market and liquidity risks (from identification/ assessment through to reporting) including stress testing, scenario modeling, model development & validation, portfolio analytics, underwriting analytics, actuarial analytics, risk weighted asset & capital calculation, early warning signal generation, risk decisioning, and data visualization, using data governance & management, data science, analytics - AI, ML, Network analysis - and techno...

About The Role Skill required: Delivery - Financial Risk Data & Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AIStrengthen the management of credit, market and liquidity risks (from identification/ assessment through to reporting) including stress testing, scenario modeling, model development & validation, portfolio analytics, underwriting analytics, actuarial analytics, risk weighted asset & capital calculation, early warning signal generation, risk decisioning, and data visualization, using data governance & management, data science, analytics - AI, ML, Network analysis - and techno...

About The Role Skill required: Delivery - Financial Risk Data & Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Data & AIStrengthen the management of credit, market and liquidity risks (from identification/ assessment through to reporting) including stress testing, scenario modeling, model development & validation, portfolio analytics, underwriting analytics, actuarial analytics, risk weighted asset & capital calculation, early warning signal generation, risk decisioning, and data visualization, using data governance & management, data science, analytics - AI, ML, Network analysis - and techn...

About The Role Skill required: Delivery - Financial Risk Data & Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AIStrengthen the management of credit, market and liquidity risks (from identification/ assessment through to reporting) including stress testing, scenario modeling, model development & validation, portfolio analytics, underwriting analytics, actuarial analytics, risk weighted asset & capital calculation, early warning signal generation, risk decisioning, and data visualization, using data governance & management, data science, analytics - AI, ML, Network analysis - and techno...

Understand and contribute to model compression techniques (quantization, pruning, distillation, etc.) while developing theoretical understanding of Information Theory and Deep Learning fundamentals Work with senior researchers to optimize Gen AI models for edge platforms using Amazons Neural Edge Engine Study and apply first principles of Information Theory, Scientific Computing, and Non-Equilibrium Thermodynamics to model optimization problems Assist in research projects involving custom Gen AI model development, aiming to improve SOTA under mentorship Co-author research papers for top-tier conferences (NeurIPS, ICLR, MLSys) and present at internal research meetings Collaborate with compile...

Quantitative development to implement and optimize algorithms for asset pricing, risk management, and trading strategies and migrate analytics from c++ to Python Writes secure and high-quality code using Python or C++ with limited guidance Required Candidate profile 3+ years of Python, C++ Quantitative finance background with strong experience in bonds Experience with calculating Risk or Pricing of asset classes

Description: As a Lead AI Engineer, you will be at the forefront of our AI-driven transformation, shaping the future of intelligent solutions within our organization. You will champion best practices in AI development, foster innovation, and serve as a technical leader guiding teams to deliver impactful AI-powered products. This role requires a hands-on leader who is passionate about building scalable, reliable, and secure AI systems, while mentoring engineers and collaborating across disciplines to embed AI into our core offerings. This position emphasizes a product-focused approach, integrating AI solutions that align with organizational goals, and promoting a culture of continuous learnin...

Development of application software for wind turbine power converter in Matlab/Simulink Specification of application software for wind turbine power converter in typical agile tools VHDL Development for FPGA for wind turbine power converter in Matlab/Simulink Specifying and development of validation tests for power converter application software. Test validation for application software development. Support power converter test bench validation Simulation model development for Hardware-in-the-loop (HiL) tests of wind turbine power converters Collaborate closely with power converter development team, as well as internal departments.

Role Overview: You will be leading the development, implementation, and management of the Data Lake (Artificial Intelligence) and Robotic Process Automation (RPA) capabilities at Larsen & Toubro. Your main responsibility will be to ensure a robust, scalable data architecture and intelligent automation solutions that drive data-driven decision-making and operational efficiency throughout the organization. You will need to excel in execution, maintain strong governance, measure ROI, manage vendors effectively, and align with the business. Key Responsibilities: - Demonstrate strong expertise in data platforms, cloud architectures, lake house/data lake design, and integration of large-scale ERP ...

As a Data Analyst at New Age Data & Analytics, you will be responsible for gaining a deep understanding of the business and identifying opportunities to leverage analytical solutions for driving business decisions and outcomes. You will have the chance to work closely with various business stakeholders and explore cutting-edge analytical techniques. **Key Responsibilities:** - Scope out business requirements and priorities by thoroughly understanding the retail portfolio - Gain expertise in data analysis to derive meaningful insights by exploring various data fields from source systems and data marts - Design and implement analytical solutions to address business needs - Utilize new age algo...

Role Overview: As an LLM (Large Language Models) / AI-ML Specialist at our company, you will be an essential part of our growing team. You are expected to utilize your expertise in building and deploying AI/ML solutions, possess a strong understanding of modern AI frameworks, and excel in solving complex problems with innovative strategies. Key Responsibilities: - Demonstrate proven experience of 5+ years in the field of AI/ML or Large Language Models. - Showcase a robust background in AI frameworks, model development, and deployment. - Apply AI/ML techniques effectively to address real-world business challenges. - Utilize excellent problem-solving skills and collaborate efficiently with tea...

You will be responsible for leading the development, implementation, and management of the Data Lake (Artificial Intelligence) and Robotic Process Automation (RPA) capabilities at Larsen & Toubro. Your role will involve ensuring robust and scalable data architecture, as well as intelligent automation solutions to drive data-driven decision-making and operational efficiency across the organization. It is essential to focus on execution excellence, strong governance, ROI measurement, vendor management, and business alignment. **Key Responsibilities:** - Expertise in data platforms, cloud architectures, lake house/data lake design, and integration of large-scale ERP systems. - Leadership in AI/...

Senior AI/ML Engineer to lead the development and deployment of machine learning models and AI-driven solutions. The ideal candidate will have a strong background in machine learning algorithms, AI systems, and data-driven problem-solving and will be responsible for mentoring junior engineers while ensuring the delivery of high-quality AI/ML solutions Lead the design, development, and deployment of machine learning models and AI-driven solutions. Architect AI/ML pipelines and ensure seamless integration with existing data infrastructure. Mentor and guide junior engineers, enforcing best practices in AI/ML development. Collaborate with cross-functional teams (data science, engineering, produc...

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...