14995 Data Science Jobs - Page 42

Suparnix Technologies is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting techn...

3+ years of experience working as data scientist using Python Engineering with GenAI solutions, including large language models. Ability to fine-tune models and utilise services like Langchain. Knowledge of ML model architectures and algorithms Expertise in model development, integration, and optimization. Ability to design, implement, and evaluate machine learning algorithms (classification, regression, clustering, etc.) and optimise their performance for production environments.

Troubleshoot data/model/infra issues across model pipelines, APIs, embeddings, and prompt systems Collaborate with Engineering and Data Science teams to deploy new versions and manage rollback if needed Implement automated logging, alerting, and retraining pipelines Handle prompt performance drift, input/output anomalies, latency issues, and quality regressions Analyze feedback and real-world performance to propose model or prompt enhancements Conduct A/B testing, manage baseline versioning and monitor model outputs over time Document runbooks, RCA reports, model lineage and operational dashboards Support GenAI adoption by assisting in evaluations, hallucination detection, and prompt optimiz...

JD Databricks Platform Engineer Experience Level Level 3 (5+ years) We are seeking a Databricks Platform Engineer to lead the automation of MLOps pipelines and ensure scalable model deployment workflows. This role plays a critical part in bridging data science and operations. Key Build and automate MLOps pipelines for model deployment and monitoring. Ensure scalability, security, and operational efficiency of ML workflows. Collaborate with cross-functional teams to align infrastructure with data science needs. Required Skills MLOps, CI/CD (Azure DevOps/GitHub Actions) Kubernetes, Docker, Python Cloud Platforms (Azure/AWS/GCP), Model Monitorin JD Databricks Platform Engineer Experience Level ...

As a Marketing & Data Associate , you ll combine analytical thinking with creative marketing insights to support our event planning and promotional efforts. Your work will directly impact how we design, market, and measure the success of our large-scale events across India. If you enjoy working with data, analyzing performance, and collaborating with marketing teams this role is the perfect blend of strategy, numbers, and creativity. Key Responsibilities Marketing & Data Associate Collect, clean, and manage event and marketing data including website traffic, email metrics, ad performance, registrations, and surveys. Analyze and interpret data to identify trends, insights, and opportunities f...

Overview The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML and GenAI solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks along with LLM frameworks like LangChain / LlamaIndex, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines. Responsibilities Understand the existing Proof of concepts that were built to showcase capability of LLMs to deliver the accurate response to any natural...

Educational Requirements Bachelor of Engineering Service Line Quality Responsibilities Assess the complete ML development process.- Data Engineering- Evaluate the maturity level of ML systems. - Software Development- Provide recommendations for improvement - DevOps- Implement and maintain CI/CD pipelines for ML models. - Monitor and manage model performance in production. Technical and Professional Requirements: 3+ years in MLOps or related roles - Data Science- Hands-on experience with ML model deployment and monitoring - System Administration- Proven track record of implementing CI/CD pipelines - Automation Tools- Experience with version control systems (Git). Preferred Skills: Technology-...

Roles and Responsibilities Develop predictive models using statistical modeling techniques to drive business outcomes. Design and implement machine learning algorithms for data analysis, forecasting, and optimization. Collaborate with cross-functional teams to integrate data science solutions into existing systems. Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights from large datasets. Communicate complex technical findings effectively through reports, presentations, and visualizations. Desired Candidate Profile 3-8 years of experience in Data Science or related field with expertise in Predictive Modeling, Statistical Modeling, Time Series Analysis, Python pro...

At Thomson Reuters, our strategic vision is to build a world-class Data & Analytics company by fostering a data-driven culture across the organization. We are seeking a highly motivated Senior Data Scientist with strong organizational and technical skills to play a pivotal role in our data-driven journey. In this position, you will leverage predictive models, machine learning, and generative AI to deliver actionable business insights and drive informed decision-making. You will also mentor junior team members and collaborate with cross-functional teams to design and implement impactful data solutions. About the Role As a Senior Data Scientist, you will: Engage with stakeholders, business ana...

Picture Yourself at Pega: As an experienced Senior Data Scientist with strong expertise in Large Language Models (LLMs), Predictive modeling, and Natural Language Processing (NLP) you will lead advanced analytics initiatives and mentor junior team members. The ideal candidate will combine a research-oriented mindset with exceptional hands-on Python coding skills and proven ability to communicate complex technical concepts to diverse stakeholders. You should have a track record of delivering impactful machine learning solutions while driving innovation through research and experimentation. What You'll Do at Pega: Design, develop, and deploy advanced machine learning models with focus on LLMs,...

Roles and Responsibilities Teach undergraduate and postgraduate students in Computer Science, Artificial Intelligence, Machine Learning, Data Science, and related fields. Develop and deliver course materials, assessments, and evaluations to ensure student learning outcomes meet program requirements. Conduct research in areas of specialization and publish papers in reputable journals or present at conferences. Participate in departmental activities such as curriculum development, committee work, and faculty meetings.

Azure AI Trainer will teach the fundamentals of Azure AI services, including machine learning, data analysis, cognitive services, and AI model deployment. They will help learners develop skills to build intelligent solutions using Azure tools prepare

As a Senior Software Engineer - Front End React NodeJS at Incedo, you will be responsible for developing user interfaces using ReactJS and NodeJS. You will be expected to have a strong understanding of HTML, CSS, JavaScript, ReactJS, and NodeJS. You should also have experience in working with state management libraries like Redux and MobX. Roles & Responsibilities: Strong proficiency in JavaScript, including DOM manipulation & java script object model Thorough understanding of React JS, its core principles like Hooks, Lifecycle, etc and workflows such as Flux / Redux Familiar in writing test cases and providing thorough test coverage Familiar with newer specifications of ECMA Scripts along w...

As a Senior Cloud Data Platform (GCP) Engineer at Incedo, you will be responsible for managing and optimizing the Google Cloud Platform environment, ensuring its performance, scalability, and security. You will work closely with data analysts and data scientists to develop data pipelines and run data science experiments. You will be skilled in cloud computing platforms such as AWS or Azure and have experience with big data technologies such as Hadoop or Spark. You will be responsible for configuring and optimizing the GCP environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team to ensure that th...

Role Description As a Senior Cloud Data Platform (GCP) Engineer at Incedo, you will be responsible for managing and optimizing the Google Cloud Platform environment, ensuring its performance, scalability, and security. You will work closely with data analysts and data scientists to develop data pipelines and run data science experiments. You will be skilled in cloud computing platforms such as AWS or Azure and have experience with big data technologies such as Hadoop or Spark. You will be responsible for configuring and optimizing the GCP environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team ...

Role Description As a Senior Cloud Data Platform (GCP) Engineer at Incedo, you will be responsible for managing and optimizing the Google Cloud Platform environment, ensuring its performance, scalability, and security. You will work closely with data analysts and data scientists to develop data pipelines and run data science experiments. You will be skilled in cloud computing platforms such as AWS or Azure and have experience with big data technologies such as Hadoop or Spark. You will be responsible for configuring and optimizing the GCP environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team ...

Experience- 4 to 12 yrs Job Description - Sr. Data Science - Python + AI/ML + GenAI + LLM + Azure (Required hands-on knowledge on Python, Gen AI + AI/ML) SKILLS Machine Learning Python +LLM JD Have experience in developing production level Gen AI solutions by utilizing Azure OpenAI Google services Familiar with prompt engineering retrieval augmented generation and finetuning of opensource LLMs. Collaborate with data scientists and data engineers to build production level models and pipelines including any required preprocessing of input datasets and postprocessing after model inference. Develop and Deploy advanced Generative AI large language models Azure OpenAI Google Machine Learning and D...

Hive/Python/Spark Technical hands on data processing Database SQL knowledge for retrieval of data - transformation queries such as joins (full, left , right) , ranking , group by Database SQL/Oracle Good Communication skills. Additional skills - GitHub , Jenkins , shell scripting would be added advantage, large-scale data processing model implementation, and performance tracking Mandatory Competencies Big Data - Big Data - HIVE Big Data - Big Data - Pyspark Big Data - Big Data - SPARK Data Science and Machine Learning - Data Science and Machine Learning - Data Analyst Database - Oracle - PL/SQL Packages Programming Language - Python - Python Shell Beh - Communication and collaboration

Are you passionate about building AI-driven software that transforms how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we invest deeply in AI technologies and explore emerging fields with the backing of a global leader. As a Senior Software Engineer AI, you will play a key role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains. About The Role: As a Software Engineer AI , you will collaborate with a cross-functional team of product managers, UX designers, and engineers to design, build, and deliver AI-powered solutions. Build AI-Driven Systems : Architect and implement adv...

Urgent Hiring for Technology Analyst Bangalore Exp- 4-9Y Pckg- 20LPA Notice- Imm-30 days Skill-AIEngineer,Pandas,Node.Js,HTML,Javascript,Flask,Django,Docker,Kubernetes,CI/CD, Cloud Kindly drop your CV's at rashibimaginators@gmail.com or 9027310680 Required Candidate profile Skills-AI Engineer,Tensorflow,Python,Pytorch,Opencv,Scikit-Learn,Pandas,Node.Js,HTML,Javascript,Flask,Django,Docker,Kubernetes, CI/CD, Cloud

Generic JD- Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment JD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frame...

About the role : Experience / skills required: 2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc. Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc. Strong language coding skills required in Python/pyspark. Knowledge & experienc...

Roles & Responsibilities: Conducting office internal audits. Scheduling the Office External Audit with Class. Arranging for MLC audits. Applying for the MLC Interim Certificate during Takeover (ISM & ISSC) Arranging for CSR. Applying New CSR for the DSSM. Management review. Collect 6 Monthly data (PSC , FSC & External Audit)(Broadcast, NMs, Best Practice and LARP)for the Management Review Reviewing various QHSE related documents received from the vessel. Maintain the MOC register and follow-up with the status. Need to Close the MOC within 3 months from the Takeover Tracking the QHSE excellence campaign progress. Track and Update the Campaign in Docmap and Share point folder Initiating drug a...

Roles & Responsibilities: Conducting office internal audits. Scheduling the Office External Audit with Class. Arranging for MLC audits. Applying for the MLC Interim Certificate during Takeover (ISM & ISSC) Arranging for CSR. Applying New CSR for the DSSM. Management review. Collect 6 Monthly data (PSC , FSC & External Audit)(Broadcast, NMs, Best Practice and LARP)for the Management Review Reviewing various QHSE related documents received from the vessel. Maintain the MOC register and follow-up with the status. Need to Close the MOC within 3 months from the Takeover Tracking the QHSE excellence campaign progress. Track and Update the Campaign in Docmap and Share point folder Initiating drug a...

Educational Requirements Bachelor of Engineering Service Line Quality Responsibilities 1. Develop, refine, and lead the implementation of the organization's Responsible AI (RAI) compliance program, aligning it with regulatory requirements and ethical best practices. 2. Design and implement governance frameworks that ensure ethical AI development, deployment, and monitoring. 3. Collaborate with legal and regulatory teams to ensure compliance with global AI regulations (e.g., EU AI Act, GDPR, CCPA) and internal governance policies. 4. Lead risk assessments to identify ethical, legal, and operational risks in AI systems, with a focus on fairness, transparency, accountability, and bias mitigatio...