5049 Mlflow Jobs - Page 22

Job Description Technical Expertise and Required Qualifications 5–8 years of experience in ML engineering, DevOps, or data platform engineering, with at least 2 years in MLOps or model operations. Proficiency in Python, particularly for automation, data processing, and ML model development. Solid experience with SQL and distributed query engines (e.g., Trino, Spark SQL). Deep expertise in Docker, Kubernetes, and cloud-native container orchestration tools (e.g., OCI Container Engine, EKS, GKE). Working knowledge of open-source data lakehouse frameworks and data versioning tools (e.g., Delta Lake, Apache Iceberg, DVC). Familiarity with model deployment strategies, including batch, real-time in...

Job Description Role Summary The Director of AI Platform & MLOps is a critical, hands-on technology leader responsible for the architecture, execution, and day-to-day management of the infrastructure powering our AI Training Data Services. You will lead a world-class team of engineers to build, scale, and operate a robust, secure, and highly automated platform. This role requires a deep technical background in cloud infrastructure, MLOps, and large-scale systems, combined with proven experience in leading high-performing engineering teams. Responsibilities Technical Execution & Architecture: Translate the long-term vision into an executable technical roadmap, making key architectural decisio...

Description About the Role We are seeking a highly skilled and motivated Solutions Architect to join our team in a mid sized firm. In this role, you will play a pivotal role in designing, developing, and implementing complex software solutions that utilize technologies such as React, Node, Angular, and AWS DevOps. As a Solutions Architect, you will collaborate with cross-functional teams to ensure our systems are scalable, secure, and performant. Job Responsibilities Design & Architecture Design end-to-end AI/ML solution architectures that include data ingestion, model development, deployment, and integration with enterprise systems. Evaluate business requirements and recommend scalable, sec...

**Role Overview:** As an ML / Data Science Engineer at Anervea, you will be responsible for designing, training, deploying, and maintaining machine learning models across multiple products. Your role will involve building models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. Collaboration with AI engineers, backend developers, and product owners will be key to translating data into product features that are explainable, reliable, and impactful. **Key Responsibilities:** - Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic ...

Role Overview: As an AI/ML Engineer, your primary responsibility will be to build, deploy, and scale Python applications along with AI/ML solutions. You will work closely with clients and software engineers to implement machine learning models and deploy them into production environments. Your expertise in Python programming and AI/ML frameworks will be crucial in developing intelligent solutions tailored to specific business requirements. Key Responsibilities: - Expertise in Python, with a deep understanding of Flask/FastAPI. - Proficient in server programming to implement complex business logic effectively. - Understanding of fundamental design principles for scalable applications. - Desig...

Role Overview: As an experienced and results-driven AI Developer, you will be responsible for developing, deploying, and optimizing AI and machine learning models to solve real-world business problems. Your collaboration with cross-functional teams will be crucial in delivering scalable and ethical AI solutions using state-of-the-art tools and technologies. Key Responsibilities: - Collaborate with data scientists and engineers to source, clean, and preprocess large datasets. - Perform feature engineering and data selection to improve model inputs. - Design, build, and validate machine learning and deep learning models, including: - Convolutional Neural Networks (CNNs) - Recurrent Neural Netw...

Role Summary The Director of AI Platform & MLOps is a critical, hands-on technology leader responsible for the architecture, execution, and day-to-day management of the infrastructure powering our AI Training Data Services. You will lead a world-class team of engineers to build, scale, and operate a robust, secure, and highly automated platform. This role requires a deep technical background in cloud infrastructure, MLOps, and large-scale systems, combined with proven experience in leading high-performing engineering teams. Responsibilities Technical Execution & Architecture: Translate the long-term vision into an executable technical roadmap, making key architectural decisions for the platf...

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank o...

We are looking for a passionate and skilled AI/ML Engineer with 24 years of experience to design, develop, and deploy machine learning models and intelligent automation solutions. You will work closely with data scientists, backend engineers, and product teams to integrate AI-driven functionalities into production systems. Design, develop, and deploy machine learning and deep learning models for real-world applications. Work with Python-based frameworks like TensorFlow, PyTorch, and Scikit-learn. Implement data preprocessing, feature engineering, and model optimization techniques. Collaborate with product and engineering teams to integrate models into production environments (APIs, microserv...

Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientist and experience with software development and test automation. Good understanding of advanced AI/ML algorithms & their applications Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designin...

Were Hiring: Senior Full Stack Developers / Technical Leads (MERN + Modern JS Stack)(Experience: 8+ Years | Rapid hiring with 20+ open positions ) Locations: Pune / Mohali / Gurugram / Navi Mumbai / Bengaluru Shift: Night Shift (6 PM 3 AM IST) Employment Type: Full-Time Clients: Fortune 500 Companies Industry: Digital Consulting / Fortune 500 Clients (Staffing via Hatchtra Innotech Pvt. Ltd.) About us: We are a premier staffing and workforce solutions provider, working with Fortune 500 companies and global enterprises to build modern Martech and Digital Analytics teams. About the Role Were looking for experienced Full Stack Developers / Technical Leads (majorly backend-focused) to design, de...

Position Overview: We are looking for a motivated and skilled Python Developer with expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our expanding technology team. The ideal candidate should possess strong programming abilities in Python, practical experience with ML algorithms, and a passion for leveraging data-driven solutions to address complex business challenges. Key Responsibilities: Design, develop, and optimize ML models, algorithms, and pipelines. Handle large datasets, including preprocessing, feature engineering, and model training. Build scalable, production-ready ML solutions using Python frameworks. Collaborate with data scientists, product teams, and...

About The Role We are seeking a talented LLM (Large Language Model) Engineer to join our growing AI/ML team. The ideal candidate will have hands-on experience working with modern natural language processing (NLP) systems, large-scale model training, fine-tuning, and deployment. You will collaborate closely with data scientists, ML engineers, and product teams to design and optimize solutions powered by cutting-edge language models. Key Responsibilities Design, train, fine-tune, and evaluate large language models (LLMs) for various use cases. Implement prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques to optimize model outputs. Build pipelines for data prepr...

Title: ML Engineer Location: Remote first with 30 percent travel. We either spend time on our Campuses or build with the team at our Igatpuri HQ together Number of openings: 10 About NavGurukul: We dream of a world where every learner has a fair chance to grow. At NavGurukul’s AI learning labs, We are on a mission to impact 1 crore underserved students in the next 1 year. We aim to leverage AI and build meaningful, joyful learning experiences. If you believe that technology can be a tool for equity, AI can be leveraged to bridge the learning gap, and want your work to directly touch lives — this might be for you! : ) In this role, you’ll experiment, architect, and build AI/ML solutions that ...

About the Role We are looking for a Systems or Solutions Architect with deep expertise in networking, infrastructure-as-a-service (IaaS), and cloud-scale system design to help architect and optimize AI/ML infrastructure . The ideal candidate combines strong fundamentals in cloud architecture (AWS or equivalent) , networking , compute , and storage , with hands-on experience in Kubernetes, observability, and automation . You’ll design scalable systems that support large AI workloads — enabling efficient training, inference, and data pipelines across distributed environments. Key Responsibilities Architect and scale AI/ML infrastructure across public cloud (AWS / Azure / GCP) and hybrid enviro...

Join us and contribute to the discovery of medicines that will impact lives! Hyderabad, India About Aganitha Accelerate drug discovery and development for Biopharma and Biotech R&D with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps. In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation-ric...

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank o...

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing t...

Job Title: Director — Technology Development (Personalization) Location: Bengaluru Experience: 15+ Years Function: Data Platform & Personalization Why This Role Reimagine travel personalization at platform scale across Flights, Hotels, Holidays, Trains, and Activities. Own end-to-end personalization charter: engineering, data science, MLOps, and experimentation. Collaborate with ContextOS, Myra, and Experience Hub under the “One Brain, Many Adapters” vision. What You’ll Own Strategy & Roadmap: Drive 12–18 months personalization roadmap aligned to KPIs (growth, conversion, retention, experience). Platforms, Not Projects: Build reusable ranking/reco/decisioning platforms (feature/embedding sto...

Role Description Job Title: Senior Data Scientist – Generative AI / AI/ML / MLOps Location: [Hyderabad] Experience 6+ Years Job Type Full-Time | [Permanent] Job Summary We are looking for a highly experienced and innovative Senior Data Scientist with strong expertise in Python , Generative AI , and AI/ML systems , including a deep understanding of LLMs and MLOps best practices . This role is ideal for someone who thrives in solving complex problems using cutting-edge AI technologies and has a proven track record of successfully delivering impactful ML/AI solutions from research to production. You will lead and contribute to the design, development, and deployment of scalable AI/ML systems, i...

Senior AI/ML Engineer– Global Data Analytics, Technology (Maersk) A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator ...

Role: Data Science Engineer Required Technical Skill Set: Data Science & AI lifecycle Mgmt Tools: NumPy, pandas, TensorFlow, Minio, Pachyderm, Kubeflow, Jupyter Python, Java (SpringBoot), C Desired Experience Range: 6+ years Location of Requirement: Pan India Desired Competencies (Technical/Behavioral Competency) Must-Have · 4+ years of experience in Data Science, ML & DL. · Well versed with building Algorithms to predict Network Performance degradation. · Expertise in Acumos AI and MLFlow which are platforms to manage and package ML lifecycle. · Microservices, Cloud native technologies, Serverless Computing · Cloud computing, SDN, NFV · Docker, Kubernetes, Redhat Openshift, Kubeflow · Stron...

Total Exp : 8 to 12 Years Location : Delhi / NCR Region Key Responsibilities GenAI Solution Development Design and implement GenAI-based applications for telecom network domains (e.g., NOC copilots, automated RCA assistants, network testing script generators). Build and fine-tune domain-specific LLMs and prompt libraries for telecom operations, planning, and assurance. Develop RAG (Retrieval-Augmented Generation) pipelines integrating GenAI with OSS/BSS, network data, and knowledge bases. AI/ML Engineering Collaborate with data engineers to build telecom-specific feature stores and data pipelines. Train ML models for predictive maintenance, anomaly detection, KPI forecasting, and integrate t...

Total Exp : 8 to 12 Years Location : Delhi / NCR Region Key Responsibilities GenAI Solution Development Design and implement GenAI-based applications for telecom network domains (e.g., NOC copilots, automated RCA assistants, network testing script generators). Build and fine-tune domain-specific LLMs and prompt libraries for telecom operations, planning, and assurance. Develop RAG (Retrieval-Augmented Generation) pipelines integrating GenAI with OSS/BSS, network data, and knowledge bases. AI/ML Engineering Collaborate with data engineers to build telecom-specific feature stores and data pipelines. Train ML models for predictive maintenance, anomaly detection, KPI forecasting, and integrate t...

Title: Machine Learning Engineer (AWS + MLOps + LLMs) Location: Remote / Hybrid About the Role LowPropTax is looking for a Machine Learning Engineer who can manage the full ML lifecycle — from data preparation and model experimentation to cloud deployment and monitoring. You will build and scale ML systems using AWS tools, with a focus on Lambda, SageMaker, and Databricks. Responsibilities Design and automate end-to-end ML pipelines using AWS Lambda, SageMaker, and Step Functions. Experiment with models including LLMs, regression, and classification tasks. Use Databricks for feature engineering, model training, and performance tuning. Deploy models to production environments with CI/CD autom...