46399 Machine Learning Jobs - Page 20

1. Deep expertise in Python and the modern AI stack. 2. Proven experience with LangChain; specific experience with LangGraph for multi-agent systems is highly preferred. 3. Experience implementing "LLM-as-a-Judge" patterns, or similar evaluation frameworks. 4. Understanding of PEFT (Parameter-Efficient Fine-Tuning) and Prompt Tuning techniques.

We are looking for a Technical Product Owner. As a Technical Product Owner, you will be at the forefront of our product development efforts, playing a pivotal role in shaping the direction of our technical solutions. You will serve as the bridge between our technical teams and business stakeholders, ensuring that our products meet both functional requirements and technical standards. By leveraging your expertise in product management and technical acumen, you will drive the successful delivery of innovative and high-quality solutions that address the evolving needs of our customers. In this role, you will have the opportunity to collaborate closely with cross-functional teams, including soft...

As an Instructor at our Offline Learning Centres, you will deliver engaging sessions in Data Science, Machine Learning, Deep Learning, and related fields to students and working professionals. You will play a vital role in ensuring high-quality learning outcomes through classroom teaching, mentorship, and academic support. This is a unique opportunity to combine your passion for technology and education, while shaping the careers of tomorrow. 6 Reasons to Join upGrad Offline Learning Centres 1. Career Growth & SME Pathway: Accelerate your career with opportunities to move into leadership roles and grow as a Subject Matter Expert by contributing to content development, curriculum design and n...

What Youll Do: Develop advanced and efficientstatistically effective algorithms that solve problems of highdimensionality. Utilizetechnical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques toidentify trends, createfigures, and analyze other relevantinformation. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies thatimpact our analytical platform. What Youll Bring: Amasters degree in computer science, Statistics, or a relevant field; A robust academic performance history with coursework emph...

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems. We are Hiring Machine Learning Engineers at goML! Key Responsibilities: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches. Fine-tune pre-trained LLMs for specific tasks and domains. Conduct research on new techniques for improving the performance and capabilities...

PepsiCo Data Analytics & AI Overview: With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCos leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS com...

About The Role Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating w...

About The Role Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration...

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities : Developing and implementing machine learning models and algorithms to solve complex bus...

Role Description As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments. Roles & Responsibilities : Designing and developing machine learning (ML) models and algorithms Implementing and maintaining ML pipelines ...

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and ...

Your role and responsibilities An AI Data Scientist at IBM is not just a job title - it€™s a mindset. You€™ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requ...

Dear Applicant, PFB the details. Role: Individual will be responsible for implementing AI solutions and leading a team of data scientists & AI Engineers. Key Responsibilities: This role will involve developing, implementing, and managing AI projects to extract insights and create predictive solutions. Experiment on different emerging techniques to improve the performance of AI solutions Individual will be responsible for mentoring and guiding junior data scientists, AI engineers, providing technical leadership, defining solutions & architectures, The role will also be contributing to the overall AI strategy of the company Work with internal stakeholders to collaborate on delivering solutions...

Role You will be part of a cutting-edge team working on Large Language Models (LLMs), Machine Learning, Deep Learning, and Retrieval-Augmented Generation (RAG) pipelines. Youll help design, build, and evaluate AI systems that solve complex real-world problems at scale. Key Responsibilities Develop and optimize RAG pipelines: document chunking, embedding generation, vector storage, retrieval, reranking, and grounded generation with citations. Work on LLM-based applications: fine-tuning open-source models ( LLaMA , Mistral, etc.), building prompt strategies, and deploying inference services. Contribute to machine learning models (classification, regression, recommendation, anomaly detection) a...

Expertise in C/C++, Linux Development, Performance Engineering. Hands-on Experience in Application/System Profiling Utilities like vTune , Nvidia Nsight , Linux native utilities Good debugging skills in using gdb and Linux system utilities to troubleshoot timing sensitive distributed applications. Use object-oriented principles and design patterns to develop fault-tolerant and extendable software Good knowledge on HPC system components - including CPU/GPU architecture, scalable/distributed storage, high-bandwidth inter-connects, and cloud-based computing architectures Proficiency in Python and Shell scripting languages. Preferred Qualifications : Proficiency in parallel programming (MPI, SLU...

Key Responsibilities Create a repository and hierarchy of the Contracts in Contract Life Cycle Management (CLM) tool by clearly identifying parent-child linkage. Analysis of commercial contracts such as Master Agreements, Service Agreements, , NDAs, etc. Assessment of key clauses such as Governing Law, Jurisdiction, Assignment, Change of control, Indemnification, Limitation of liability, Intellectual property Rights etc., essential for commercial contracts. Perform manual and auto-extraction of contract data through AI (Artificial Intelligence) and Data visualisation tools resulting in contract management and interpretation. Ensure the data in the CLM is up-to-date, continuous, and set param...

Meet the Team The LIO (Lifecycle Innovation and Optimization) team is a dynamic group of people working on big transformational, highly visible initiatives and acquired company integrations. The Engineering team within the LIO organization is leading the charge on crafting a first-in-class digital experience for our customers and partners everywhere they connect with Cisco. We are at the epicenter of developing modern, cloud-native and AI-driven technologies that allow us to stay agile and adaptable in a constantly evolving market. Pioneers in our field, Engineering team enables customers and partners to maximize value with a simple, unified Cisco experience, driving accelerated time to impa...

Key Responsibilities Data Strategy & Leadership Own and advance the commercial data strategy, ensuring a single source of truth for reporting, analytics, and AI/ML initiatives. Provide strategic directions for data integration and management. Team Leadership & Mentorship Lead, mentor, and develop a team of Commercial Data Intelligence Analysts. Drive best practices in data modeling, pipeline development, and AI-ready data preparation. Data Engineering Oversight Oversee the design, implementation, and maintenance of scalable ETL/ELT pipelines using Microsoft-based tools (e.g., Data Factory, Synapse, Fabric pipelines). Ensure adoption of standardized data infrastructure, replacing non-standard...

Tech Lead-Cloud Architect 7+ Yrs Exp Upto 35LPA BLR,Pune,Jaipur,Chennai,Hyd Hands-on expertise in design & optimization of AI model-driven architecture,technologies (Docker,Kubernetes,OCI) microservices architecture mansikohliimaginator@gmail.com Required Candidate profile AI/GenAI developers & engineers. The role involves facilitating development & deploying AI solutions, ensuring project success Immediate Joiner or Max 30Days Bangalore,Pune,Jaipur,Chennai,Hyderabad

Job Summary The AI/ML Engineer will design, develop, and deploy machine learning models and AI-driven solutions to solve complex business problems. The role involves working with large datasets, building predictive models, optimizing algorithms, and collaborating with cross-functional teams to implement scalable AI solutions. Key Responsibilities Machine Learning & AI Development Build, train, and deploy ML models using supervised, unsupervised, and deep learning techniques. Develop scalable AI pipelines, including preprocessing, feature engineering, and model evaluation. Optimize algorithms for performance, scalability, and accuracy. Conduct exploratory data analysis (EDA) and identify key ...

This Position reports to: Technology Product Manager What we believe in At ABB, being engineered to outrun means enabling our customers to transform their operations, making them leaner, cleaner and more sustainable. Through ABB Genix, we unite Industrial IoT, AI, and significant domain knowledge to assist industries in predicting developments, responding efficiently, and executing with assurance in a rapidly shifting world. The group will advance digital functionalities through a scalable, reusable, and industry-relevant analytics and AI platform to perform well in IoT and system integration, alongside generative AI, predictive modelling, and innovative analytics applications and solutions ...

This Position reports to: Manager - Advanced Analytics and AI What we believe in ABB Services provides shared services to the business delivering operational and expert services in Finance, Human Resources, and Information Systems. With employees based in five main hubs and front offices, we support ABB teams across the globe. Your role and responsibilities In this position, you will be able to work with essential stakeholders to create, execute, and support the onboarding of digital solutions and the integration of digital platforms into the customer business setting, along with their ongoing operations and upkeep. The work model for the role is: #LI Onsite, #LI Hybrid This role is contribu...

This Position reports to: Digital Solution Engineering Manager What we believe in At ABB, we are a worldwide technology leader committed to advancing the future of industrial digital innovations. Central to our mission is the Software Development Center, which creates advanced software to support industries dealing with substantial asset management issues. Roles & Responsibilities: To enhance our Process Automation Analytics team, we are looking for a Senior R&D Engineer with experience in machine learning to develop an extensive code base for industrial analytics applications. The candidate should have good knowledge of theory of statistics and machine learning. The focus should be on devel...

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What Youll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical Skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, an...

Quantitative Analytics, Quant Research, Calculation Services– Mumbai The Group : Morningstar’s Quantitative Research Group creates independent investment research and data-driven analytics designed to help investors and Morningstar achieve better outcomes by making better decisions. We utilize statistical rigor and large data sets to inform the methodologies we develop. Our research encompasses hundreds of thousands of securities within a large breadth of asset classes including equities, fixed income, structured credit, and funds. Morningstar is one of the largest independent sources of fund, equity, and credit data and research in the world, and our advocacy for investors’ interests is the...