230 Ml Pipelines Jobs - Page 6

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...

Key Skills: Technical Skills: Proficiency with Data bricks Lakehouse platform, Delta Lake, Genie, ML Flow (e.g., Data bricks Certified Data Engineer Associate) is a plus. SQL and NoSQL: Experienced working with both SQL and NoSQL data sources (e.g., MySQL, PostgreSQL, MongoDB etc.) Strong knowledge of Spark, especially in PySpark or Scala, for data transformation. Proficiency in Python, R and other programming languages used in data processing. Experience with cloud platforms like Azure, AWS, particularly Azure storage & services Knowledge of ML Pipelines, data streaming platforms (e.g., Apache Kafka, AWS Kinesis). Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) E...

As a skilled and passionate Platform Architect specializing in GenAI/LLM Systems, you will be responsible for architecting scalable, cloud-native infrastructure to support enterprise-grade GenAI and LLM-powered applications. Your role will involve designing and deploying secure, reliable API gateways, orchestration layers (such as Airflow, Kubeflow), and CI/CD workflows for ML and LLM pipelines. Collaboration with data and ML engineering teams will be essential to enable low-latency LLM inference and vector-based search platforms across GCP (or multi-cloud). You will define and implement a semantic layer and data abstraction strategy to facilitate consistent and governed consumption of data ...

We are seeking individuals who are smart, self-driven, high-energy, and possess exceptional communication skills along with intellectual curiosity and a strong passion for technology within the Machine Learning space. Our analysts exhibit a deep understanding of one or more areas in the Retail and CPG domain, coupled with robust business acumen and excellent soft skills. Proficiency in technology is also a key requirement. The ideal candidate must possess the following technical skills: - MLOps Implementation and Support Experience - Expertise in Python Programming with a minimum of 4-5 years of experience - Working knowledge of DevOps with implementation experience in at least 1 or 2 projec...

You are an experienced professional with over 13 years of total experience, specializing in machine learning. You have a proven track record of delivering impactful solutions in Natural Language Processing (NLP), machine vision, and Artificial Intelligence (AI). Your proficiency includes programming languages like Python or R, as well as experience with data manipulation libraries such as Pandas and NumPy. You possess a strong understanding of statistical concepts and techniques, applying them effectively to real-world problems. Your expertise extends to deep learning frameworks like TensorFlow, PyTorch, or JAX, along with machine learning libraries like scikit-learn. You have proficient exp...

As a Lead Machine Learning Data Engineer with 10-15 years of experience, you will be responsible for designing, developing, and optimizing ML models for NLP, CV, and data-driven applications. You will work with transformer architectures, multimodal AI models, and generative AI techniques to implement ML pipelines, including data preprocessing, feature engineering, training, evaluation, and deployment. Your role will involve designing and implementing a Speech LLM-based virtual assistant, along with developing and maintaining Python code for audio capture, encoding, modality fusion, LLM interaction, and text output. Additionally, you will integrate and configure pre-trained models for audio e...

You are seeking a Lead - Python Developer / Tech Lead to take charge of backend development and oversee a team handling enterprise-grade, data-driven applications. In this role, you will have the opportunity to work with cutting-edge technologies such as FastAPI, Apache Spark, and Lakehouse architectures. Your responsibilities will include leading the team, making technical decisions, and ensuring timely project delivery in a dynamic work environment. Your primary duties will involve mentoring and guiding a group of Python developers, managing task assignments, maintaining code quality, and overseeing technical delivery. You will be responsible for designing and implementing scalable RESTful...

Join as Principal AI, Blockchain & Payments Architect (Remote). Lead AI/ML & Blockchain integration in a cutting-edge payments platform. FinTech, Java, Python, AI, DLT, global rails. DM or send resume to suresh@goldenpicktech.com. Flexi working Work from home Performance bonus

The Product Engineer AI-Powered Developer Tools (On-Prem) position based in Tower 1, World Trade Center, Kharadi, Pune offers a full-time, in-office work arrangement. As a part of the core engineering squad, you will be involved in building air-gapped, AI-powered developer tooling designed to operate completely behind customer firewalls. Your role will entail transforming ideas and prototypes into refined features, collaborating closely with architects, and delivering code that enhances the experience of developers. The product is specifically tailored to function within customer firewalls, incorporating customized LLM models and on-prem systems. Your key responsibilities will include owning...