334 Ml Ops Jobs - Page 8

!!! Hiring !! Soft skills Combination of business focus, analytical and problem solving skills in order to quickly define a data-driven solution within different initiatives Ability to work within a team and with a proactive attitude Ability to communicate and popularize technical topics Main skills - Programming in Python (Numpy, Pandas, Scikit-learn, ) - Mastery of basic Devops tools (Versionning Git, Docker, CI/CD concepts e.g. Gitlab CI framework) - Mastery of ML Ops and ML Engineering frameworks (Experiment trackers e.g. MLFlow, Orchestrators – e.g. Airflow, Kubeflow, Sagemaker) - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neura...

Job Title: Senior Android Engineer (ML Ops) arun.raja@dhira.ai Job Title: Senior Android Engineer (ML Ops) Type: Full-time Experience Level: Mid to Senior (5 to 10 years) Position Summary We are seeking an experienced Senior Android Engineer (ML Ops) with a strong background in Android-based ML deployments to lead the integration and scaling of machine learning solutions across diverse domains. The ideal candidate will have hands-on experience deploying computer vision models, particularly ResNet and dlib , on Android devices. This role involves end-to-end ownership of ML pipelines, from model optimization and deployment to monitoring, asset management, and ensuring seamless production perfo...

Role Overview: You will be joining the team in Hyderabad, Telangana as either a Mid-Level Machine Learning Engineer or a Junior Machine Learning Engineer. Your main responsibility will be developing custom Large Language Models (LLMs) and optimizing their performance for legal research applications. This role presents a unique opportunity to contribute to an innovative project's AI backend and React-based frontend. Key Responsibilities: - As a Mid-Level Machine Learning Engineer, you will lead the design, implementation, and maintenance of machine learning models with a focus on NLP and LLMs for legal applications. - Enhance model training processes, data pipelines, and performance optimizat...

As a Mid-Level Machine Learning Engineer in our company, your primary responsibility will be to lead the design, implementation, and maintenance of machine learning models, particularly focusing on Natural Language Processing (NLP) and Large Language Models (LLMs) for legal applications. Your role will also involve enhancing model training processes, data pipelines, and performance optimization to ensure scalability. Collaborating with front-end developers to integrate AI functionalities into our React UI for a seamless user experience will be an essential part of your job. Additionally, rigorous testing and performance evaluations will also be part of your responsibilities. Key Responsibili...

Role Description: We are looking for someone who is interested in harnessing machine learning to power marketing optimization. Someone who is fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale. Someone who loves building high-scale distributed systems using a diverse set of state-of-the-art technologies. The work will span across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, Flyte, Databricks, Kubernetes, AWS and much more! What youll do You work in a cross-functional team of ML Engineers and ML Scientists to operationalize ML models in production. You build scalable, hig...

As a Firefly models & Services architect in the Adobe Firefly Gen AI Models and services group, you will be crucial in supporting the creation, improvement, and deployment of model pipelines for Adobe's top products across various domains. Your expertise in machine learning will play a key role in designing and optimizing large-scale foundation model pipelines in Generative AI. Collaborating with outstanding Applied researchers and engineers, you will bring innovative ideas to production, providing technical leadership and mentorship for junior team members. - Design and develop the GenAI backend services for Firefly - Create efficient model pipelines to power generative AI features on Adobe...

Role Overview: As an AI/ML Full Stack Engineer, you will be responsible for implementing end-to-end, AI-powered solutions. Your primary focus will be on building and integrating AI solutions, full stack development, conversational flow & orchestration, data engineering & infrastructure, and cross-functional collaboration. Key Responsibilities: - Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. - Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. - Designing REST or GraphQL APIs to enable real-time c...

In this role as a Senior R&D Infrastructure and Data Engineer at Barclays, you will be a key player in driving innovation within the digital landscape, particularly within the Cyber Fraud Fusion Centre. Your main responsibility will be to deliver scalable CFFC services to disrupt and prevent upstream economic crime. Key Responsibilities: - Work as a cloud engineer in a global organization with expertise in deployment of GUI applications, data transformation, automation, and data storage solutions. - Coach software and data engineers to deliver complex projects under consistent delivery processes like CI/CD. - Drive technical projects to completion, identify risks and costs, challenge archite...

Function/ Department: Data & Analytics. Job Purpose : 'As an MLOps Engineer, you will be responsible for deploying, scaling, and monitoring ML & GenAI models in production. You will own the infrastructure, automation, and observability layer while collaborating with ML Engineers and Data Scientists to ensure models (LLMs, embeddings, recommendation systems, etc.) are reliably served at scale. This role combines DevOps best practices with ML-specific needs, ensuring smooth model lifecycle management and robust GenAI-powered applications. Key / Primary Responsibilities: ' '* Design and manage CI/CD pipelines for ML model deployment. * Provision and maintain scalable infrastructure using Kubern...

Hiring Sr.ML Engg(Applied AI) – 5+ yrs exp. Python, ML algos, PyTorch/Sklearn, MLOps (CI/CD, monitoring), SQL/NoSQL, data pipelines Preferred: Big Data, A/B testing, open-source. 35-40 LPA Nancy 8586914964 Nancy.imaginators7@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

Role & 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 issues with pipeline failures Understand and take requirements on Operationalization of ML Models from Data Scientist Engag...

Role Overview: As a Machine Learning and AI Solutions Architect at Wipro, your main responsibility will be to define, architect, and lead the delivery of cutting-edge machine learning and AI solutions. You will play a crucial role in demand generation, revenue generation through building and operationalizing machine learning and deep learning solutions, as well as team management. Key Responsibilities: - Collaborate with sales, pre-sales, and consulting teams to create solutions and propositions for proactive demand generation. - Develop solutions and proof of concepts aligned with key offerings to facilitate solution-led sales. - Partner with various colleges and institutes for recruitment,...

Hiring Sr.ML Engg(Applied AI) – 5+ yrs exp. Python, ML algos, PyTorch/Sklearn, MLOps (CI/CD, monitoring), SQL/NoSQL, data pipelines, strong software engg. Preferred: Big Data, A/B testing, open-source. Salary: Upto 35-40 LPA Call Latika: 9810996899 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 CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization. You have an entrepreneurial spirit. You enjoy working ...

As a Lead Software Engineer at our company, you will be responsible for designing, building, and scaling high-performance infrastructure with expertise in ML Ops, distributed systems, and platform engineering. Your key responsibilities will include: - Designing and developing scalable, secure, and reliable microservices using Golang and Python. - Building and maintaining containerized environments using Docker and orchestrating them with Kubernetes. - Implementing CI/CD pipelines with Jenkins for automated testing, deployment, and monitoring. - Managing ML workflows with MLflow to ensure reproducibility, versioning, and deployment of machine learning models. - Leveraging Temporal for orchest...

KONE Technology and Innovation Unit (KTI) is where the magic happens at KONE. It's where we combine the physical world - escalators and elevators - with smart and connected digital systems. We are changing and improving the way billions of people move within buildings every day. We are on a mission to expand and develop new digital solutions that are based on emerging technologies. KONE's vision is to create the Best People Flow experience by providing ease, effectiveness and experiences to our customers and users. In line with our strategy, Sustainable Success with Customers, we will focus on increasing the value we create for customers with new intelligent solutions and embed sustainabilit...

Expert on MLOps, Model lifecycle + Python + PySpark + GCP (BigQuery, Dataproc & Airflow), CI/CD Call or Watsapp (ANUJ - 8249759636) for more details.

Data Science Senior Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. Whats more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor on our Pr...

Role Overview: You will be joining as a Senior AI Architect in the Office of the CTO, where you will play a crucial role in designing, developing, and deploying AI and Machine Learning solutions using Python. Your primary focus will be to collaborate with enterprise customers to address critical business challenges by leveraging Azure's advanced AI capabilities. Key Responsibilities: - Lead hands-on design and development efforts using Python to create robust, scalable AI/ML solutions - Work closely with enterprise customers to strategize and implement AI-driven solutions leveraging Azure AI services - Translate complex requirements into practical technical solutions - Develop end-to-end pro...

Aera Technology is the Decision Intelligence company. Our platform, Aera Decision Cloud, integrates with enterprise systems to digitize, augment, and automate decisions in real time. We deliver millions of AI-powered recommendations each year, generating significant value for some of the world's largest brands. We are seeking a Machine Learning Engineer (Support & Ops focus) to ensure our AI-powered decision systems run reliably at scale. This role is less about building models from scratch, and more about keeping production AI systems healthy, observable, and performant, while enabling Data Science teams to deliver faster. This position is also a strong career pathway into ML feature develo...

As a Python Developer in this position, you will be responsible for utilizing your expertise in Python programming to design and develop solutions for various projects. You should have a strong educational background in Computer Engineering with at least 10+ years of experience in the field. The role offers the flexibility of working from home on a full-time basis with a work schedule aligned with US timings. Your key responsibilities will include working on Load Balancers, Distributed Systems, Sticky Sessions, SQL and NoSQL Databases, Caching mechanisms like Redis and Memcached, and handling a large number of requests per second efficiently. Additionally, you should have experience in DevOp...

As a Senior AI/ML Engineer, you will be responsible for designing, developing, and continuously improving AI and machine learning solutions. Your main tasks will include ensuring the scalability, accuracy, and reliability of models, collaborating with team members, and providing technical expertise to drive success. You will be involved in various key responsibilities including model development where you will design, develop, and deploy machine learning models to address complex business problems. Data analysis is another crucial aspect where you will analyze datasets to uncover trends, patterns, and insights while ensuring data quality for model training. Algorithm optimization will also b...

You will be part of a globally renowned company, dunnhumby, the leader in Customer Data Science, dedicated to empowering businesses to excel in the modern data-driven economy with a strong focus on prioritizing the Customer First approach. The company's mission revolves around enabling businesses to evolve and advocate for their Customers by leveraging deep expertise in retail, catering to businesses worldwide across various industries. As an Engineering Manager with ML Ops expertise, you will lead a team of engineers in developing innovative products aimed at assisting Retailers in enhancing their Retail Media business, ultimately driving maximum ad revenue and scalability. Your role will i...

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 ...