790 Ml Algorithms Jobs - Page 2

Role & responsibilities - Fine-tune and optimize foundation models for agent tasks - Implement RAG and memory systems - Develop evaluation pipelines for model performance - Prepare datasets for training and inference - Integrate models into agent frameworks - Research continual learning techniques Preferred candidate profile - Fine-tune and optimize LLMs for agent-specific tasks - Implement retrieval-augmented generation and memory systems - Develop pipelines for model evaluation and monitoring - Collaborate on dataset preparation and integration - Research and apply continual learning techniques - Expertise in LLMs (OpenAI, HuggingFace), ML frameworks (PyTorch, TensorFlow) - Familiarity wit...

Role & responsibilities Hybrid Models -Develop hybrid models that blend physics/domain knowledge and statistical learning. Simulations and Optimization - Simulating various scenarios for optimization using hybrid/ ML / Statistical models. Preferred candidate profile Hands on experience developing, validating, and implementing statistical & ML models. Proficient with Python for data handling, algorithm development and model building. Familiarity with SQL and NoSQL databases. Familiarity with Cloud based environments. (Preferred AWS). Proven track record on coding platforms e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions. Comfortable working in...

We are seeking a Data Scientist AI/ML with a strong background in Data Analytics and Agile delivery to drive strategic AI/ML initiatives across cross-functional teams. The ideal candidate will have hands-on experience managing complex analytics programs, guiding technical decisions, mentoring junior teams, and driving business outcomes through data-driven decision-making. Experience - 7-12 years Location - Pan India- Apexon 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 capabilities. Collaborate with ML Eng...

Role Overview: As a Consultant in the S&C Global Network AI team at Accenture, specifically in the CFO & EV FinOps Analytics domain, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your role will involve providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. Key Responsibilities: - Lead client engagements encompassing model development, validation, governance, strategy, transformation, and end-to-end delivery of FinOps & CFO agenda solutions for Accenture's clients. - Advise clients on various...

As an AI Enabled Automation Developer Senior at EY, you will have the opportunity to build a unique career with global support, an inclusive culture, and cutting-edge technology to unlock your full potential. Your distinct voice and perspective are essential in contributing to EY's continuous improvement. Join us to create an exceptional experience for yourself and contribute to building a better working world for all. **Responsibilities:** - Develop and implement AI-enabled automation solutions in alignment with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to showcase the potential of AI-enabled automation appl...

Role Overview: At PE, we are focused on building applications where financial decisions are driven by data, adaptive, and tailored to specific domains. We leverage AI/ML to extract hidden patterns from vast amounts of data across different industries, aiming to enhance businesses and improve overall quality of life. Key Responsibilities: - Utilize AI to identify patterns and correlations that are deeply embedded within Big Data. - Develop an AI system capable of selecting the optimal response from millions of potential options across various scenarios, ranging from capital markets to healthcare. - Ensure the accuracy of our platform by consistently evaluating and improving the predictions we...

As a Data Architect with 12+ years of experience, you will play a crucial role in leading the design and implementation of modern data platforms to support AI/ML, Analytics, NLP, and GenAI workloads. Your expertise in data architecture, technical skills, and leadership abilities will be instrumental in shaping the data strategy of the company. **Key Responsibilities:** - **Architectural Leadership:** - Design and implement scalable, secure, and high-performance data architectures for AI/ML, analytics, and real-time data processing. - Architect data platforms for ML experimentation, training, and deployment across various domains like classical ML, deep learning, NLP, and GenAI. - Lead the de...

About the Role The ML Developer will design, build, and maintain machine learning models and data pipelines powering core business use cases. The role is hands-on with Python for model development, feature engineering, and pipeline automation, leveraging Azure ML, and Azure DevOps. Success means robust, production grade models with proven business impact, traceable lineage, and operational excellence at scale. Role & responsibilities Feature Engineering & Model Development - Translate model prototypes from Data Scientists into Azure ML production pipelines, including data ingestion, training, inference, and retraining. - Build and iterate on ML models (forecasting/classification/regression) ...

Basic Qualifications Experience: 4+ years. Hands-on development experience playing the role of Data Analyst and/or ML Engineer. Experience in working with excel for data analytics Experience with statistical modelling of large data sets Experience with ML models and ML algorithms Coding experience in Python Nice to have Qualifications Experience with wide variety of tools used in ML Experience with Deep learning Benefits Competitive salary. Hybrid work model.

Role Overview: You will be joining the Lifecycle Innovation and Optimization (LIO) team at Cisco, specifically the Cisco.com Engineering team. Your primary focus will be on crafting a top-tier digital experience for customers and partners interacting with the Cisco.com website. You will be at the forefront of developing modern technologies and integrating artificial intelligence tools to ensure agility and adaptability in the constantly evolving market. Key Responsibilities: - Develop and implement solutions for business problems related to Cisco.com and web platforms, and provide operational support - Ensure code quality assurance, provide design and architectural guidance, conduct code rev...

Job Title: AI/ML Engineer Senior Level Location: Chennai (Ambattur) Employment Type: Full-time, Permanent Job Description: We are hiring a Senior AI/ML Engineer to lead projects in Deep Learning, Generative AI, and Agentic AI. The candidate should be experienced in developing advanced ML models, integrating APIs, and deploying solutions in cloud and containerized environments. Skills Required: Domain: Machine Learning / Deep Learning / Generative AI / Agentic AI Framework / Library: scikit-learn, PyTorch or TensorFlow / Keras, Transformers, LangGraph, Hugging Face, RAG / Graph RAG / n8n Programming Languages: Python (Data Structures & Algorithms), Bash scripting Optional Language: R / C++ Li...

What you can look forward to as Senior Data Scientist -AI/ML (m/f/d): Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL). Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms. Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques. Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training me...

Perform exploratory data analysis (EDA), visualize data, and evaluate and select appropriate ML algorithms for solving specific challenges Manage data acquisition processes, identify relevant datasets, and oversee data preprocessing and feature engineering Train, optimize, and deploy machine learning models, ensuring scalability, reliability, and performance Implement robust monitoring and validation strategies to maintain model accuracy and efficiency in production environments Demonstrate deep understanding of AI/ML applications, including integration with business processes and operational systems Mentor junior team members, providing technical guidance and fostering a culture of innovati...

Role Overview: You will be part of a team that is dedicated to developing custom silicon solutions for Google's direct-to-consumer products, pushing boundaries and shaping the future of hardware experiences. Your expertise will play a key role in delivering high-performance, efficient, and integrated hardware solutions. Key Responsibilities: - Develop front-end CAD tools and flows for Google Silicon SoC projects in various domains such as RTL generation, design verification, AI-enabled CAD flows, design QA and release management, and low power flows. - Collaborate with design teams to understand requirements and implement CAD solutions. - Collaborate across functional domains to enable the d...

You will be responsible for: - Designing, training, and evaluating machine learning models, optimizing for performance and scalability. - Developing efficient data pipelines, ensuring high-quality training and inference data. - Analyzing and comparing ML algorithms to determine the most effective approaches. - Exploring and visualizing data to identify patterns and insights. - Implementing feature engineering, data augmentation, and validation strategies. **Qualifications Required**: - Relevant experience in designing and evaluating machine learning models. - Proficiency in developing data pipelines and analyzing ML algorithms. - Strong skills in data visualization and feature engineering. -...

As a Senior Data Scientist with over 5 years of experience, you will have a significant impact on our team based in Indore/Pune. Your primary role will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to support business decision-making. - Strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. - Expertise in Model Tuning, Model Validation, Supervised and Unsupervised Learning - Hands-on experience with model development, data preparation, and deployment of models for training and inference - Proficiency in descriptive and inferential statistics, hypothesis testing, an...

As a Specialized Analytics Senior Analyst at our company, you will be a seasoned professional contributing to the development of new techniques and processes within the analytics field. You will be responsible for integrating subject matter expertise and industry knowledge to evaluate complex issues and provide valuable insights to drive business objectives. Your role will have a significant impact on project outcomes and team performance within the area. **Responsibilities:** - Partner closely with Strategy partners and Model Risk Management validators throughout the model lifecycle, including validation, ongoing evaluation, and annual reviews. - Develop, validate, and test fraud detection ...

As a Senior/Lead Data Scientist - Market Mix Modelling at BLEND360 India, you will have the opportunity to work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints. Your role will involve translating the business program into solvable Data Science problems by proposing different approaches and their pros and cons. You will be responsible for identifying, analyzing, and interpreting trends or patterns in complex data sets and building Econometric/market mix models (MMM) and multi-touch attribution models (MTA) to optimize marketing spend and provide implementable recommendations and strategies. Your communication ...

Datamatics is a CMMI Level 5 company. Datamatics, a global Digital Solutions, Technology, and BPM Company, provides intelligent solutions for data-driven businesses to increase productivity and enhance the customer experience. With a completely digital approach, Datamatics portfolio spans across Information Technology Services , Business Process Management, Engineering Services, and Big Data & Analytics all powered by Artificial Intelligence. The Company has a presence across 4 continents with major delivery centers in the USA, India, and Philippines. Job Role - AI Engineer -Jr, Senior & AI Lead Experience - 3 to 8 Years Job location - Mumbai, Bangalore, hyderabad We are seeking an experienc...

In our company, freshers in Data Science and Data Analytics are expected to learn and support core analytical tasks. They will assist in data collection, cleaning, and preprocessing while gaining hands-on experience with tools such as Python, SQL, and visualization platforms. Freshers will work under senior guidance to explore datasets, generate basic dashboards, document findings, and contribute to small analytical projects. Their primary responsibility is to develop strong problem-solving and statistical skills while actively participating in team discussions and training sessions. Experienced professionals will lead complex data projects, build predictive models, optimize data pipelines, ...

Role Overview: At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Key Responsibilities: - Lead the end-to-end design, development, and deployment of scalable and robust AI-powered applications, from frontend interfaces to backend services. - Architect and implement Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic frame...

As an experienced AI/ML Trainer, you will be responsible for leading learners through foundational and advanced concepts in Artificial Intelligence and Machine Learning. Your role will involve practical project development, algorithm training, and guiding learners through the AI lifecycle. Responsibilities: - Teach ML algorithms, data preprocessing, model training, and evaluation. - Conduct hands-on sessions using Python, TensorFlow, Scikit-learn, or PyTorch. - Create practical use cases and datasets for learners. - Monitor student progress and provide individual guidance. Qualifications Required: - Proven experience in Artificial Intelligence and Machine Learning. - Proficiency in Python, T...

About Us Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry exper...

About the Role: 09 Job Title: Python Developer The Team: Join our innovative and collaborative team at S&P Global's IT - Enterprise Technology department. We pride ourselves on fostering a culture that values excellence, teamwork, and continuous learning. Our team is dedicated to pushing the boundaries of AI technology and delivering impactful solutions that drive business success. Job Description: We are seeking a motivated and talented AI/Software Engineer to join our team and assist with GenAI projects. This is an excellent opportunity for someone looking to gain hands-on experience in cutting-edge AI technologies and cloud solutions while actively contributing to team goals and initiativ...

Key Responsibilities Design, develop, and deploy end-to-end machine learning models into production environments. Build and maintain scalable data pipelines , model training workflows, and automated processes. Collaborate with data scientists, data engineers, and product teams to translate business needs into ML-driven solutions. Conduct model experimentation, evaluation, and optimization to improve performance and reliability. Implement MLOps best practices , including CI/CD, model monitoring, and retraining workflows. Required Qualifications 8+ years of professional experience in machine learning engineering or a related field. Strong proficiency in Python and ML frameworks such as TensorF...