14995 Data Science Jobs - Page 49

Database design and architecture using KDB+/q and knowledge of python or C++/Java with minimum of 2+ years of experience. Equities Algorithmic trading stack, transaction data and FIX protocol. market, transaction and reference data for various products like Equities, FX, Futures, FX, Indices, options etc. Different market data vendors API and experience working with their data. High capacity/low latency infrastructure like solace. Software development, build and deployment management using tools like JIRA, Git, Jenkins, Geneos (ITRS) and scripting languages. pre- and post- trade analytics like Transaction Cost analysis (TCA) reports. Mandatory Competencies Database - Other Databases - KDB Be...

Senior Principal Systems Development Engineer Our customers system requirements are usually highly complex. Bringing together hardware and software systems design, Systems Development Engineering operates at the very cutting edge of technology to meet them. We design and develop electronic and electro-mechanical or systems-orientated products, conduct feasibility studies on engineering proposals and prepare installation, operation and maintenance specifications and instructions. We’re proud to deliver programs and products to the highest quality standards, on time and within budget. Join us to do the best work of your career and make a profound social impact as a Senior Principal Systems Dev...

Our Team: The ServiceNow team is a multinational team that supporters 70 manufacturing sites and all of Sanofis locations in 170 countries using ServiceNow. Main responsibilities: Administer and maintain the ServiceNow platform, including user management, security, and data integrity. Configure and customize ServiceNow applications and facilitate the rollout of new applications and modules. Develop and implement workflows, business rules, and UI policies. Monitor system performance and troubleshoot issues to ensure optimal functionality. Build, maintaining, and optimize CI/CD pipelines Responsible for operations lifecycle, comfortable to add value to the End-to-end BUILD lifecycle Trouble sh...

Experience in conducting EDAs and analyze large volumes of structured and unstructured data from various sources. Experience in Develop, deploy, and maintain machine learning models for demand forecasting, assortment analytics, e.t.c.

Exceptional Analytical and Problem-Solving Abilities: Demonstrated excellence in analytical reasoning, including a keen ability to analyze complex situations and data, leading to creative solutions and successful problem resolution. Great Overall understanding of E-commerce and the D2C sector in India. Prior experience in working with a D2C brand or directly working on an agency end with a D2C brand Bachelordegree in Analytics, Statistics, Computer Science, Engineering, or a related field. Minimum of 3 years of experience in analytics, data science, or a related consulting role. Proficient in data analysis tools and programming languages such as SQL, Python, R, or SAS. Strong problem-solving...

1. Technical Leadership : Serve as a key technical expert in designing, developing, and deploying AI/ML solutions with a focus on GenAI and LLM applications for healthcare. Architect and implement AI agents that automate complex workflows, such as generating real-time clinical summaries and assisting in patient care management. Integrate LLM capabilities with healthcare datasets, ensuring robust performance, scalability, and adherence to compliance standards. 2. Generative AI & LLM Innovation : Develop and fine-tune LLMs for healthcare-specific use cases, such as automated documentation, question answering, and predictive analytics. Apply generative AI to synthesize insights from multi-modal...

Lead all aspects of design development for multiple teams that incorporate current short- and long-term needs Build new technical solutions that will handle the future expected scale and create a technical roadmap for new product features that will shape the experience for our earners Direct efforts within the organization to understand requirements, consolidate them, translate them into strategically important business needs, and deliver extensible designs You will be developing scalable micro-services and partner with Product Managers & Data Scientists to deliver solutions Define standards in testing, monitoring, and alerting systems and lead the efforts of the organization to execute agai...

Strong understanding of Machine Learning (ML) concepts Knowledge of Deep Learning architectures Experience with Natural Language Processing (NLP) embeddings, tokenization, text generation, summarization. Familiarity with Large Language Models (LLMs) GPT, LLaMA, Claude, Mistral, etc. Programming & Tools Python (core language for AI/ML). Libraries: OpenAI API, Lang Chain. Familiarity with REST APIs, GraphQL APIs to integrate AI models. Strong SQL skills for data extraction & preparation. Experience on Azure platform - Semantic Kernel, Azure Foundry, Agentic AI Skills and Qualifications: Excellent communication and collaboration skills, with the ability to work effectively with diverse stakehol...

1. Programming: Python 2. Deep Learning: PyTorch/TensorFlow 3. Machine Learning: scikit-learn 4. LLMs: GPT-based models, RAG, prompt engineering 5. Anomaly Detection: Time-series and unsupervised anomaly detection 6. GenAI: Text generation, content summarization, retrieval systems 7. Databases: SQL, Hive, Phoenix, PostgreSQL, MySQL 8. Containerization: Docker 9. APIs: REST APIs 10. MLOps: Experience with MLOps tools What You Need to Be Successful 1. Experience: 3-6 years of experience 2. Technical Skills: Programming: Python Deep Learning: PyTorch/TensorFlow Machine Learning: scikit-learn LLMs: GPT-based models, RAG, prompt engineering Anomaly Detection: Time-series and unsupervised anomaly ...

"Job Title: GenAI Application Engineer (Associate Consultant)Location: Bangalore \/ Chennai \/ NCR (Hybrid)Experience: 3 5 yearsqualificationsPreferred Qualifications: Master s degree in Computer Science, Data Science, Engineering, or related field Experience in the life sciences or healthcare domain is a plus Strong communication and stakeholder management skills Ability to work in a fast-paced, collaborative environment

Applies and integrates statistical, mathematical, predictive modelling and business analysis skills to manage and manipulate high volume data from a variety of sources and able to identify business opportunities from the insights and predictions that result from that analysis. Collates, models, interprets and analyses data, explains variances and trends and recommends business opportunities from that analysis. Works on and off the cloud. Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources and to identify business growth opportunities for Nasdaq and their clients. Generat...

Harness the capabilities of machine learning and generative AI to develop cutting-edge solutions that enhance the troubleshooting and problem-solving capabilities of our current products and methodologies. Leverage statistical and financial expertise in analytics projects to drive insights and support data-driven decision-making. Implement automated workflows, develop dashboards, and streamline processes to enhance operational efficiency. Integrate proprietary research and financial planning concepts into a global set of advice engines by working closely with Morningstar research, product managers, and developers to bring intellectual property and new methodology to market. Develop an in-dep...

Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, t...

Crest Infosystems is looking for LLM/Gen AI Engineer to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing exis...

Intern Data Science Artificial Intelligence Cyber Security Cyber Forensics eDiscovery GeoPolitic

Design and implement data pipelines for data ingestion, transformation, and loading using Microsoft Fabric tools. Develop and maintain data warehouses and data lakes within the Fabric environment. Create and manage data models for efficient data storage and retrieval. Build and deploy data science models using Fabrics machine learning capabilities. Develop real-time analytics solutions for streaming data processing. Create and maintain Power BI reports and dashboards for data visualization and analysis. Collaborate with cross-functional teams to understand data requirements and provide data solutions. Monitor and optimize the performance of data solutions. Ensure data security and compliance...

The Microsoft Fabric role involves designing, implementing, and managing data solutions using Microsoft Fabric This includes data integration, data warehousing, data science, real-time analytics, and business intelligence The role requires a strong understanding of data engineering principles, cloud computing, and the Microsoft Fabric platform Responsibilities:Design and implement data pipelines for data ingestion, transformation, and loading using Microsoft Fabric tools Develop and maintain data warehouses and data lakes within the Fabric environment Create and manage data models for efficient data storage and retrieval Build and deploy data science models using Fabrics machine learning cap...

1. Data Analysis: Gather, clean, and analyze large datasets from various sources to extract meaningful insights and trends. 2. Dashboard and Report Development: Design and develop interactive dashboards, reports, and visualizations in Power BI & ServiceNow to present data in a clear and concise manner. 3. ServiceNow Analytics: Utilize ServiceNow Reporting and Performance analytics to monitor KPIs and business performance. 4. Data Modeling: Create data models and relationships within Power BI to ensure accurate representation of data and enable efficient analysis. 5. Requirement Gathering: Collaborate and work with stakeholders to gather requirements and translate them into actionable insight...

The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgens Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and...

Hiring for Data science Gen AI with experience range 5 to 10 years Mandatory Skills: machine learning, NLP, Data science Education: BE/B.Tech/MCA/M.Tech/MSc./MS Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifica...

Your role and responsibilities Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and i...

Your role and responsibilities Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Required education Bachelor's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, ...

Your role and responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects * Writing programs to cleanse and integrate data in an efficient and reusable man...

Your role and responsibilities Lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world€™s technology leader Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and deploy models using CML workspaces, Build CI/CD pi...

Your role and responsibilities Architect and deliver production-grade AI agents and tools using IBM Watsonx Orchestrate. Oversee data pipeline strategy, reliability, and compliance. Lead technical innovation and process optimization initiatives. Collaborate with global teams and stakeholders to translate business needs into AI solutions. Mentor and coach team members; contribute to hiring and talent development. Ensure adherence to enterprise data platform governance and standards. Create and maintain clear, comprehensive documentation for solutions and processes. Develop and maintain a test and evaluation framework to assess performance and quality. Design test plans and collaborate with te...