46132 Machine Learning Jobs

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data tra...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and d...

AI/ML Engineer Experience: 3+ years of overall experience Primary Skills (Must-have): Generative AI, ML, Python, LLM, NLP, Deep Learning, OCR, RAG, Vector DB, Computer Vision, AWS Location: Pune (Hybrid) Shift: General Shift (IST Hours) Minimum Qualifications: - Proficiency with machine learning and deep learning frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras, along with collaboration tools like Jupyter Notebook and VS Code. - Expertise in Natural Language Processing (NLP) tasks, including part-of-speech tagging, named entity recognition (NER), text parsing, and Optical Character Recognition (OCR). - Experience working with unstructured data, including text, image, and audio...

Design & deploy ML/NLP models, chatbots, and search systems. Lead AI architecture, scaling, and production integration. Skilled in Python, TensorFlow/PyTorch, LLMs, RAG, vector DBs. 5+ yrs experience. Strong collaboration & problem-solving skills.

Project Role : Custom Software Engineer Must have skills : Microsoft Azure Machine Learning Python (Programming Language) Git

Key Responsibilities: 08*6 general shift and provide on call support for critical issues Platform management for SIEM, SOAR, UEBA, NBAD, DLP, Anti-APT, Deception, VM, and any other in scope solutions. Log Source Management, Ensure timely integration of log sources SIEM Rule Management - Ensure rules are up to date to reduce false positives Performance Tuning: Optimize SIEM performance to ensure efficient processing and alerting. Compliance and Reporting: Generate reports for compliance and audit requirements. Integrate UEBA solutions with existing security infrastructure. Model Development: Develop and fine-tune machine learning models to detect abnormal activities. Provide insights and cont...

Work you ll do As a Senior Consultant in our Consulting team, you ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You ll: Experience - 4 to7 years Primary skill: Develop AWS Cloud services using Terraform script . Candidate is proficient in scripting and should come with 3+ years of Terraform scripting experience and overall 4+ years of AWS cloud implementation. Strong in API service development. Should have good understanding of API service development in Python , and deployment of API Gateway and lambdas functions. Candidate should come with 2+ years on serverless development experience. Good understanding of deve...

Key Responsibilities Advanced Analytics Model Development Design and develop machine learning, statistical, and predictive models. Work on supervised, unsupervised, and deep learning techniques (regression, classification, clustering, NLP, forecasting, etc.). Build scalable ML pipelines and deploy models into production environments. Perform feature engineering, data preprocessing, and model optimization. Data Engineering Cloud Work with large datasets and ETL pipelines. Build and optimize data workflows using: Python, SQL, PySpark, Scala Deploy solutions on cloud platforms: AWS, Azure, GCP (preferred). Work with cloud services such as Databricks, BigQuery, Redshift, Synapse, EMR, or similar...

Role Summary As a Consultant in our Consulting team you ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You ll: Takes responsibility for own work or workstream meeting engagement/project objectives and Deloitte quality standards Develop solution using Salesforce configure and customization features. Proactively identifies workstream risks and issues; resolves them or escalates to engagement/account leadership Identifies opportunities to improve the efficiency and effectiveness of key processes within a business function Builds knowledge in a sector by contributing to relevant firm initiatives and eminence, and/or by...

Design & deploy ML/NLP models, chatbots, and search systems. Lead AI architecture, scaling, and production integration. Skilled in Python, TensorFlow/PyTorch, LLMs, RAG, vector DBs. 4+ yrs experience. Strong collaboration & problem-solving skills.

About Us ProcDNA is a global consulting firm focused on establishing Commercial Analytics and Technology solutions for life science firms. We work side by side with our clients, partnering to achieve their goals. Our people bring in a strong blend of design thinking, the latest technology, and a client-centric approach to create a lasting impact. For a firm starting right at the onset of the pandemic, we had a stellar growth in 2022-23. We grew from 2 150+ people and are continuing with rapid but organic growth. Each one of us at ProcDNA (ProcDees) boast about a healthy blend of learning, new opportunities, and growth which gives a feeling of swimming in the open waters rather than confining...

SUMMARY Experience: Minimum of 5 years of professional experience in a Data Scientist or related analytical role. Python Expertise: Exceptional, hands-on expertise in Python for data science, including deep familiarity with the full scientific stack (Pandas, NumPy, Scikit - learn). Modeling: Proven ability to build, train, and validate sophisticated machine learning models in a production environment. SQL & Databases: Strong proficiency in SQL and experience working with large datasets in databases like PostgreSQL, MySQL, or cloud-based data warehouses (e.g., BigQuery, Snowflake). Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Familiarity with big data processing ...

Job Title: AIML Engineer AWS Experience: 6 to 8 Years Location: Hyderabad (Hybrid) Employment Type: Full-time Job Summary We are looking for an experienced AI Engineer with deep expertise in designing, developing, and deploying AI/ML solutions on the AWS cloud platform. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and MLOps, along with a strong understanding of AWS AI/ML services and end-to-end model lifecycle management. Key Responsibilities Design, build, and deploy AI/ML models and pipelines using AWS services such as SageMaker, Lambda, Glue, and Step Functions. Collaborate with data scientists, data engineers, and cross-functional teams to ...

" id="description_113"> MLOps Engineer Location: Hyderabad Exp: 5-8yrs We are seeking a highly skilled MLOps Engineer to support the development and operation of automation tools and dashboards within our Machine Learning Platform and Search infrastructure. This role is critical in ensuring the reliability, scalability, and efficiency of our ML inference services, CI/CD workflows, and training data pipelines. What s the role all about Web UI Development: Design and develop web-based dashboards for monitoring ML inference services. Design and develop web-based tools to manage and visualize the Search CI/CD and release workflows. Model Lifecycle Management: Onboard new ML models onto the exist...

" id="description_116"> Role: Senior QA Engineer Exp: 4-8yrs Location: Hyderabad What s the role all about: Design, develop, and maintain automated test scripts using Python, Selenium, and JavaScript to ensure the quality of web applications. Implement and execute automated testing phases throughout the development lifecycle. Solid understanding of QA principals, models, types of testing etc and have an engineering mind- set to solve the complex QA problems Proficient working with one or more programming languages such as Python & JavaScript Proficient working with frameworks like Selenium, TestNG, WebDriverIO, Robot, Rest-Assured, Cucumber Proficient working with build tools like Maven or G...

Bachelors or Masters degree in Computer Science, Engineering, or related field 9years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud Strong programming skills in languages such as Python, with experience in data science Proficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architectures Good understanding of machine learning concepts, algorithms, and methodologies Experience with data preprocessing, model training, and evaluation using large-scale datasets Excellent problem-solving skills and the ability to work independently as well as part of a team Experience in impleme...

You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within the Consumer and Community Banking, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experi...

This is your chance to change the path of your career and guide multiple teams to success at one of the worlds leading ficial institutions. As a Manager of Software Engineering at JPMorgan Chase within the Consumer & Community Banking Team, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team s work adheres to compliance standards, business requirements, and tactical best practices. Job responsibilities Provides guidance to immediate team of software engineers on daily tasks and activities Sets the overall guidance and expectations for team output, practices, and collaboration Anticipates dependencies with other t...

As a ML Engineer, you will be part of a high performing team working on exciting opportunities in AI/ML. We are looking for a highly skilled, technical, hands-on ML engineer with a solid background in building end-to-end AI/ML applications, exhibiting a strong aptitude for learning and keeping up with the latest advances in AI/ML. Bachelor s degree in computer science or related field. 8+ years of relevant work experience in solution, application, and ML engineering, DevOps with deep understanding of cloud hosting concepts and implementations. 5+ years of hands-on experience in Risk Analytics, MLOps and Engineering Solutions for ML based models. Knowledge of enterprise frameworks and technol...

Job description Role : Agentic AI gen AI Engineer Experience: 8 to 12 yrs Notice Period: 0 to 60 days GenAI & LLM Frameworks Vector Databases (e.g., AWS OpenSearch & Kendra, FAISS, Pinecone) Word and Vector Embeddings (e.g., Word2Vec, BERT, Sentence Transformers) Frameworks & Toolkits (AWS Bedrock, LangChain, LangGraph, LlamaIndex) Cloud - AWS (preferably), Azure Agentic AI & Automation - AWS Bedrock Agents, LangGraph, AutoGen, CrewAI Programming & ML Skills Python (mandatory), SQL (Postgres), NoSQL (Dynamo DB, Mongo DB), Graph DB (Neo4j, Neptune) Libraries numpy, pandas, boto3, plotly, matplotlib, seaborn, ggplot, Scikit-learn, Requests, Beautiful Soup, NLTK) ML algorithms (Supervised, Unsu...

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities. Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore. WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500. Our people are the key to our succ...

Job Title: AI/ML Engineer Experience: 5 + years Work Locations: Bangalore | Chennai | Pune | Hyderabad Job Summary: We are seeking a AIML ENGINEER with a strong background in Data Analytics and Agile delivery to lead strategic AI/ML initiatives across cross-functional teams. The ideal candidate will have hands-on experience managing complex analytics programs, acting as a Scrum Master, and driving business outcomes through data-driven decision-making. Key Responsibilities: Design and implement scalable data architectures to support LLM (Large Language Model) training, fine-tuning, and deployment. Lead the development of Agentic AI systems integrating reasoning, memory, and planning capabilit...

Job Title: AI/ML Engineer Experience: 5 + years Work Locations: Bangalore | Chennai | Pune | Hyderabad Job Summary:We are seeking a AIML ENGINEER with a strong background in Data Analytics and Agile delivery to lead strategic AI/ML initiatives across cross-functional teams. The ideal candidate will have hands-on experience managing complex analytics programs, acting as a Scrum Master, and driving business outcomes through data-driven decision-making. Key Responsibilities: Design and implement scalable data architectures to support LLM (Large Language Model) training, fine-tuning, and deployment. Lead the development of Agentic AI systems integrating reasoning, memory, and planning capabiliti...

We are looking for a dynamic and passionate contributors to work on Intels next generation GPUs.Day-to-day work involves working on Open-source AI Frameworks such as PyTorch, Tensorflow & JAX and enabling cutting edge AI workloads (like LLMs) etc. The job role involves design and developing features for Intel' AI frameworks software stack.You will be participating in enabling and optimizing state of the art software stack for Intel's AI software stack. Role and responsibilities for this role includes: Design and develop SW features for AI frameworks - both HW-agnostic and HW-aware, especially in PyTorch device plugin and ML kernel development. Enhance and extend the Deep learning training an...

Role Overview - SageMaker MLOps Developer: We are seeking a SageMaker MLOps Developer to design and implement machine learning operations workflows on AWS SageMaker . This role focuses on automating ML pipelines, managing model lifecycle, and ensuring scalable, secure deployments in production environments. Key Responsibilities: Develop MLOps Pipelines Build and automate ML workflows using AWS SageMaker , SageMaker Pipelines , and Step Functions for training, deployment, and monitoring. Model Lifecycle Management Manage models through development, staging, and production using SageMaker Model Registry . CI/CD Integration Implement CI/CD pipelines for ML projects using AWS CodePipeline , Code...