138 Ml Pipelines Jobs - Page 2

Role: AI/ML Engineer Location: Ambattur, Chennai(Onsite) Fulltime Position Job Summary: We are looking for an AI/ML Engineer to Lead, develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Key Responsibilities: Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, featu...

Principal Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed org...

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organiza...

Principal Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed org...

As a Principal Machine Learning Engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company. Job responsibilities You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals. You will play a pivotal role in program inception, shaping the develop...

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (N...

Job Role: Lead - AIML DS/ GEN AI Developer Preferred Location: Chennai Shift Timing (IST): General shifts Description Primary Responsibilities: o Utilize solid development skills in programming languages such as Java, .Net, Python, or Node.js. o Oversee the design, development, and deployment of AI/ML models and solutions o Optimize and fine-tune AI/ML models for performance and scalability o Ensure best practices in coding, testing, and deployment o Own technology decisions and solutions for business problems o Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions o Work on the full life cycle of AI/ML...

So, what’s t he r ole all about? We are seeking an experienced AI Architect who is not only capable of strategic thinking but also enthusiastic about hands-on coding and contributing directly to both proof-of-concept (POC) and production-grade AI projects. The ideal candidate will play a key role in mentoring team members, establishing ethical and responsible AI practices, and making critical decisions around AI deployment strategies. A strong background in deploying AI solutions on cloud platforms such as Azure or AWS is essential, along with deep expertise in building secure, compliant data and machine learning pipelines . This role demands a proactive leader who can bridge the gap between...

About Awiros Founded in 2015, Awiros is enabling individuals to create and leverage advanced Computer Vision and AI applications in their daily lives through its app-centric, open, and unified Operating System model. With a dedicated team of researchers and engineers, our primary mission is to push the boundaries of technology while providing significant value to our clientele. Awiros stands as a sophisticated technology platform with a dynamic approach to development, deployment, and issue resolution. The core engineering at Awiros revolves around real-time deep-learning-based video/image inference, distributed processing, high-throughput data management, and cutting-edge tools/frameworks l...

Role & responsibilities Building and deploying applications using AWS cloud technologies as an AI/ML engineer or in at least one of the following areas: Data engineering, Cloud engineering, backend or full-stack engineering, MLOps, DevOps. Data Science, AI/ML pipelines on Amazon Sagemaker, Bedrock or other cloud environments Experienced designing APIs & microservices, integration among AWS databases, backend services Skills in automation and virtualisation related to model deployment and scaling, Infra as Code with Terraform Familiarity with different microservice deployment methodologies, including A/B testing, blue-green and canary deployments Proficient in Python or other programming lang...

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BCom Service Line Data & Analytics Unit Responsibilities Roles & Responsibilities: Understand the requirements from the business and translate it into an appropriate technical requirement. Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Help team with ML Pipelines from creation to execution Guide team to debug on issu...

Responsibilities: Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon). • Fine-tune and customize foundation models using domain-specific datasets and techniques • Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses. • Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain. • Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP). • Ensure robustness, scalability, and compliance of AI models in deployment environments. • Good to have experi...

Job overview: In this role, youll be part of our Data Science team. With a track record of innovation and taking large ML-based products from conception to delivering value, you will be responsible for developing ML and deep learning models to improve innovation within our Knowledge Graph curation. Your success will result in informed decision-making and stakeholder empowerment for Knowledge Graph use cases within Crayon. You will also directly impact the evolution of our content catalogue. Can you say Yes, I have! to the following? 5+ years of experience with developing solutionsusing machine learning, operation research and pattern searching methods onlarge scale data. B.E/B.Tech/MSin Mach...

It is exciting to work in a company where individuals truly BELIEVE in the mission and vision of the organization. The commitment to bringing passion and customer focus to the business is evident in every aspect of our work culture. The job is based in multiple locations including Bangalore, Mumbai, Pune, Gurgaon, Chennai, Hyderabad, Coimbatore, and Noida. As a Machine Learning Operations (MLOps) Engineer, you will play a crucial role in addressing the challenge faced by large companies in transitioning to an AI-driven organization by building the machine learning production system. This opportunity is perfect for an experienced server-side developer looking to expand their expertise in this...

Were looking for a Machine Learning Engineer to join our AI and analytics division. Youll be building real-world models for computer vision, NLP, and geospatial intelligence that drive Technowells smart solutions across government and enterprise sectors. Key Responsibilities Develop, train, and deploy ML models for vision, text, and structured data problems Work with image datasets from drones, CCTV, and satellites for object detection and segmentation Build NLP models for classification, summarization, and chat-based retrieval Collaborate with data engineers and frontend teams for end-to-end ML pipelines Conduct model evaluation, tuning, and documentation for production readiness Requiremen...

5 years of experience inMLOpsand building ML pipelines Deep understanding of the MLOps lifecycle and automation of ML workflows Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow Strong experience in GPU accelerators and CUDA for model training and optimization Proven experience in model monitoring drift detection and maintaining model accuracy over time Familiarity with CICD pipelines Docker Kubernetes and cloud infrastructure Strong problem solving skills with the ability to work in a fastpaced environment Preferred Qualifications Experience with tools like Evidently AI for model monitoring and drift detection Knowledge of data versioning and model version c...

Role & responsibilities Experience working on AWS Cloud is a must, Data Science, Machine Learning , LLP, Deployment Experience. Preferred candidate profile Machine learning engineer having minimum 7 years of relevant experience & Aws minimum 3 Years.

Skills Required: ML Engineer Strong Python programming skills Hands-on experience with TensorFlow, especially in training custom models/modules Experience working with OpenAI's Whisper ASR (Automatic Speech Recognition) model Following is the skillset: Primary Skills - Llama, Whisper, DistilBert, Spacy, any document database, any vector database, model training and finetuning Secondary Skills TensorFlow, any agentic framework

Job Role: ML Engineer Skills Required: ML Engineer Strong Python programming skills Hands-on experience with TensorFlow, especially in training custom models/modules Experience working with OpenAI's Whisper ASR (Automatic Speech Recognition) model

Responsibilities: * Develop immunotherapy strategies using computational methods. * Collaborate with cross-functional teams on research. * *Education* PhD/MSc in Immunology, Cancer Biology, Computational Biology, Bioinformatics, or related field.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intellig...

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 a...

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 and workflows Coll...

We are looking for a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to address new and unique challenges, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings. You should have strong statistical and machine learning intuition along with the ability to design, develop, and deploy end-to-end data science solutions, POCs, and pro...

You will be part of the AI squad within the CDO office of the bank, playing a critical role in driving AI adoption and enablement across the bank's functions. Your main responsibility will be to deploy as a member of the functional AI Squads. Your key responsibilities include: Strategy: - Delivering, building, and maintaining solutions for AI use cases and enhancing functionalities of AI tools within the bank. Business: - Accelerate the delivery of AI use cases for various Business & Functions of the bank. - Responsible for implementing product roadmaps, product improvement, building applications with modern architecture design, RESTful web services / APIs, web-based application enhancements...