336 Ml Ops Jobs - Page 9

Experience as a DevOps Engineer. Good knowledge of CI/CD tools like Jenkins Proficient with Python/Golang Good knowledge of AWS, Docker, and Kubernetes. Ml ops, Airflow and LLM Deployment. Infrastructure scaling.

One of the Healthcare AI Product Start up based out of Hyderabad is looking out for a AI Architect. If you are looking for a challenging environment and would like to be a part of building AI products, let us connect and discuss. Position: AI Architect Experience: 5+ yrs Qualification: B.Tech / B.E from Tier 1 Academic Institutions Job Type: Permanent & Hybrid Model Job Location: Hyderabad Position Overview We are seeking an experienced AI Architect to lead the design, development, and deployment of large-scale AI solutions. The ideal candidate will bridge the gap between business requirements and technical implementation, with deep expertise in generative AI and modern MLOps practices. Key ...

You have the opportunity to join RiDiK Consulting Private Limited as a Senior Software Engineer specializing in ETL Testing with Python. The position is based in Pune and requires a notice period of 15 days or immediate availability. With over 7 years of experience in automation testing, particularly in a product organization, you will be responsible for the technical design, development, and deployment of automation frameworks for large core products and functional components using Python. Your role will involve developing automation frameworks for web, data pipeline, and API based applications. You will also lead technology stack evaluation and proof of concepts for automation processes. C...

One of the Healthcare AI Product Start ups based out of Hyderabad is looking out for a AI Architect. If you are looking for a challenging environment and would like to be a part of building AI products in a start up environment, let us connect and discuss. Title: AI Engineer Experience: 3 to 5 yrs Qualification: B.Tech / M.Tech Job Location: Hyderabad Job Type & Model: Permanent & Hybrid Position Overview: We are looking for a skilled AI Engineer to develop, implement, and optimize AI solutions using cutting-edge generative AI technologies. This role focuses on hands-on development of AI applications, model integration, and production deployment while working closely with our AI architecture...

Exp: 5+ yrs in Machine Learning Engineering big data technologies ( Spark, Hadoop, Kafka) A/B testing and experimental design for ML models Knowledge of data governance,privacy & security best practices in ML share CV-garimaimaginators@gmail.com Required Candidate profile Exceptional Programming Skills: Expert-level proficiency in Python, including experience with writing production-grade End-to-End ML Application Development Software Design & Architecture

We are hiring a AIML Technical Lead for the Noida location. Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine...

We are hiring a AIML Technical Lead for the Noida location. Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine...

We are hiring a AIML Technical Lead for the Noida location. Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine...

We are hiring a AIML Technical Lead for the Noida location. Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine...

We are hiring a AIML Technical Lead for the Noida location. Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine...

We are looking for a skilled and innovative Machine Learning Engineer with expertise in Large Language Models (LLMs) to join our team. The ideal candidate should have hands-on experience in developing, fine-tuning, and deploying LLMs, along with a deep understanding of the machine learning lifecycle. Your responsibilities will include developing and optimizing LLMs such as OpenAI's GPT, Anthropic's Claude, Google's Gemini, or AWS Bedrock. You will customize pre-trained models for specific use cases to ensure high performance and scalability. Additionally, you will be responsible for designing and maintaining end-to-end ML pipelines from data preprocessing to model deployment, optimizing trai...

DESCRIPTION As a Research Analyst, you'll collaborate with experts to develop cutting-edge ML and Gen AI/LLM solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. You are expected to be an Expert in classical ML, generative AI, prompt engineering, and deployment optimization. Capable of building scalable and production-ready AI systems. Provide mentorship and guidance to junior members in the team. Engage in cross-functional collaboration and drive measu...

We are searching for a Lead Data Scientist to become a valuable member of our collaborative team. Your main responsibility will involve creating and implementing AI solutions across a variety of applications, ranging from statistical analysis to natural language processing. If you have a strong passion for utilizing data to develop impactful solutions, we highly encourage you to submit your application. Your primary responsibilities will include developing and deploying AI solutions such as classification, clustering, and anomaly detection. You will be tasked with conducting statistical data analysis, applying machine learning techniques, and overseeing the entire project lifecycle from data...

Job Description ML Ops Engineer (2–3 Years Experience) Position Overview We are looking for a passionate and skilled ML Ops Engineer with 2–3 years of experience to join our AI initiatives and services team. The ideal candidate will not only be strong in operationalizing machine learning workflows but also have hands-on exposure or working knowledge in Large Language Models (LLMs), Computer Vision, Speech-to-Text, and Image Recognition to solve real-world problems. This role requires strong adaptability to multiple technologies, excellent communication skills, and a creative problem-solving mindset to bridge the gap between AI research and scalable business solutions. Key Responsibilities De...

Job Description: AI/ML Model Development & Deployment Focused on marketing and operations use cases Deep Learning – CNNs, RNNs, Transformers, Attention Mechanisms Generative AI – Experience with OpenAI (GPT, DALL•E, Whisper) and Anthropic (Claude) Agentic AI Platforms – AutoGen, CrewAI, AWS Bedrock Multimodal AI – Building agents using text, voice, and other inputs for automation Python Programming – Proficient with NumPy, Pandas, Matplotlib, TensorFlow, PyTorch Traditional ML Techniques – Supervised/Unsupervised Learning, PCA, Feature Engineering, Model Evaluation, Hyperparameter Tuning Data Analytics – Predictive analysis, clustering, A/B testing, KPI monitoring MLOps & CI/CD – Model versi...

About the Role We are seeking a Machine Learning Ops Engineer to support and scale our ML/AI infrastructure. The role involves working with LangServe, LangFuse, Docker, and Kubernetes to deploy, monitor, and optimize ML models in production environments. Key Responsibilities • Assist in designing and managing ML model deployment pipelines . • Work with LangServe to deploy and serve ML/LLM applications. • Implement monitoring and logging using LangFuse for model performance tracking. • Containerize ML applications with Docker and deploy them on Kubernetes clusters . • Collaborate with Data Scientists to integrate ML models into production systems. • Support CI/CD pipelines for model updates a...

As a Lead Data Scientist specializing in Natural Language Processing (NLP) and Computer Vision (OpenCV), you will play a crucial role in driving our AI initiatives. Your primary responsibilities will include designing, developing, and deploying cutting-edge NLP and computer vision models to address real-world challenges across various data domains such as text, image, and structured data. Your expertise will be instrumental in setting the technical direction, guiding junior team members, and enhancing our data science capabilities organization-wide. A key aspect of your role will involve hands-on leadership in research and development using advanced ML/DL techniques. You will lead by example...

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 focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Wh...

As a member of the Pega Product Management India team, you will focus on Pega Decision Management and Analytics. You will work closely with our Engineering teams and Technical Services Operations (TSO) teams to drive and deliver the market-differentiating Decision Management capabilities in our Products. Pega Product Management team drives the Product vision and strategy with an innovation mindset to deliver a low-code platform for AI-powered decisioning and workflow automation. As the Product Manager for Decision Management, Predictive and Adaptive Analytics, you will define the roadmap and vision for Decision Management, Predictive Analytics, Marketing in the Pega Products. You will be ens...

Job Description Oracle Cloud Infrastructure team is continuing our fast-paced growth, bringing on new customers around the world daily. Our Customer Operations team is responsible for making sure our customers receive prompt & informative answers that quickly solve any question or issue they have encountered. At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Values are OCIs foundation and how we deliver excellence. We strive for equity, inclusion, and respect for al...

Inviting applications for the role of Assistant Manager, ML Ops Engineer! We are seeking a highly skilled and experienced ML Ops / LLM Ops Engineer to join our team. You will play a crucial role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, working closely with the Generative AI Full Stack Architect. Your expertise in automating and streamlining the ML lifecycle will be instrumental in ensuring the efficiency, scalability, and reliability of our Generative AI models in production. Responsibilities Design, develop, and implement ML/LLM pipelines for generative AI models, encompassing data ingestion, pre-processing, training, depl...

Exciting opportunity for an ML Platform Specialist to join a leading technology-driven firm. You will be designing, deploying, and maintaining scalable machine learning infrastructure with a strong focus on Databricks, model lifecycle, and MLOps practices. Location: Gurugram (Hybrid) Your Future Employer Our client is a leading digital transformation partner driving innovation across industries. With a strong focus on data-driven solutions and cutting-edge technologies, they are committed to fostering a collaborative and growth-focused environment. Responsibilities Designing and implementing scalable ML infrastructure on Databricks Lakehouse Building CI/CD pipelines and workflows for machine...

As a Machine Learning Engineer, your primary responsibility will be to develop, train, and validate predictive and analytical models using machine learning techniques. You will collaborate closely with data engineers and business teams to define data requirements and success metrics. In addition, you will deploy machine learning models into production following ML Ops best practices and build automated pipelines for model training, testing, monitoring, and retraining. Your role will also involve optimizing model performance, ensuring scalability and reliability, monitoring model drift and performance degradation, and continuously improving the models. Furthermore, you will implement CI/CD pr...

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Colla...

Profile Description Were seeking someone to join our team as AI Platform Engineering Specialist who will have strong hands-on experience building software platforms on any combination of the following platforms - Kubernetes, Cloud (AWS, Azure, and/or Google), API based development, REST framework, data engineering, and large-scale API Gateway environments etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have great communication skills, a team-based mentality and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements. Enterprise_Technology En...