7013 Mlflow Jobs - Page 49

Looking for experienced AIML Engineer with Exp level 4+ years. Design, build, and optimize machine learning pipelines using Google Cloud Services . * Core Python Fundamentals *: OOPs concepts, Functions & Modules, Iterators / Generators, Exception handling, Decorators, Typing / Dataclasses, Data Structures & Algorithms, Design Patterns. * Machine Learning :* NumPy, Pandas, Scikit-learn, XGBoost, Light GBM, PyTorch, TensorFlow, MLflow, Matplotlib*Natural Language Processing (NLP & OCR)*: spaCy, NLTK, Transformers, Sentence-Transformers, Gensim, pytesseract, EasyOCR. * Generative & Agentic AI *: LangChain, LangGraph, LlamaIndex, FAISS / Pinecone, OpenAI / Anthropic / Gemini APIs, LangGraph Age...

About the Role Architect scalable ML pipelines, services, and platforms using modern cloud and MLOps practices. Responsibilities Build, fine-tune, and integrate Generative AI models (LLMs, Vision Models, Multimodal Models) into business applications. Work with agentic AI frameworks to design autonomous and semi-autonomous AI agents. Collaborate with cross-functional stakeholders to translate business needs into AI-driven solutions. Review code, guide junior engineers, and ensure best practices in model development and deployment. Evaluate new tools, frameworks, and approaches to keep the AI ecosystem cutting-edge. Qualifications 8–10 years of hands-on experience in Machine Learning, Deep Lea...

Job Description **NOTE- We are looking for a person with Finance and Asset Management experience** We are seeking a highly skilled Databricks Architect with deep expertise in Databricks features including Delta Lake, Unity Catalog, Databricks SQL , and strong experience in Azure Data Factory (ADF) . The ideal candidate will design and optimize large-scale data platforms, ensure governance and security compliance, and drive innovation in advanced analytics and machine learning workflows. 8+ years of extensive knowledge of Databricks features: Delta Lake, Unity Catalog, Databricks SQL, MLflow. Strong experience with Azure Data Factory for orchestration and integration. Hands-on expertise in pe...

Job Description We are seeking an experienced and highly specialized Senior CloudOps Engineer to manage, automate, and secure our production cloud infrastructure and Machine Learning (ML)/Large Language Model (LLM) operational pipelines. This role is strictly focused on the operations and infrastructure that supports our data science and engineering teams—it is not a data science or core LLM development position. Key Responsibilities And Required Expertise The successful candidate will be an expert in all the following areas, driving high availability, scalability, and security. I. Cloud Infrastructure & Automation Infrastructure as Code (IaC): Deep expertise in managing and provisioning inf...

Location: Vadodara Department: Technology / Data & AI Job Summary We are seeking a skilled and innovative AI Engineer to design, build, and deploy AI-driven solutions using cutting-edge technologies like LLMs (Large Language Models) & its integration, RAG pipelines, Agentic AI , and enterprise-grade data platforms such as Azure Fabric, Data Lakes, and Power BI. This role requires a blend of software engineering, data engineering, and applied AI/ML capabilities with a focus on production-ready solutions that create tangible business impact. Key Responsibilities Area Responsibility AI/ML Development Design, train, and fine-tune ML models including NLP, recommendation systems, predictive analyt...

Machine Learning Engineer About The Opportunity A fast-growing player in Enterprise Software Product Engineering and AI/ML solutions, delivering scalable machine-learning features and intelligent automation across cloud-native SaaS platforms. We build production ML systems that power analytics, personalization, and automation for business-critical applications. Remote role based in India. Role & Responsibilities Design, implement, and maintain end-to-end ML models and pipelines for production use—data ingestion, feature engineering, training, validation, and deployment. Develop and optimize model code in Python using PyTorch or TensorFlow; ensure reproducibility and robust evaluation. Contai...

Job Title: Lead ML Engineer Experience: 7+ Years Location: Remote—India Work Mode: Full-time (Remote) About the Role We are looking for a Lead ML Engineer to drive architecture, innovation, production deployment, and team leadership across ML initiatives. This role is ideal for someone who loves building enterprise-scale ML systems, leading teams, and transforming prototypes into high-performing production systems. Key Responsibilities 🔹 Team Leadership Lead and mentor ML engineers and foster high-quality engineering culture. Guide team members on ML system design, coding practices, and problem-solving. 🔹 Architecture & Strategy Design high-throughput, scalable ML/AI systems. Develop the tec...

Job Role- AI Engineer (Data Pipelines & RAG) Job Type- Full-time Work Mode- Remote(6 days working) We are looking for a hands-on AI/Data Engineer (4–7 years) to build and scale data pipelines powering GenAI and agentic applications. You’ll architect data models, build ETL/ELT workflows, and integrate pipelines with RAG-based systems in a fast-paced startup environment. What You’ll Do Data Pipelines & Modeling Build scalable ETL/ELT pipelines (batch & streaming) using Python + Spark Automate ingestion from databases, APIs, files, SharePoint and other document sources Process & structure unstructured files (PDFs, tables, charts, drawings, etc.) Own chunking, indexing & embedding strategies for...

Machine Learning Engineer (3–5 Years Experience) Overview Torinit Technologies Inc. is a Canadian-based digital consulting company. At Torinit, we don't just serve our clients; we work with them to create transformative digital journeys by leveraging the latest technologies and world-class best practices. Our goal is to create an environment of continuous learning and success for our team and our clients. We are a fast-growing team of passionate problem-solvers and life-long learners who aren't afraid of tackling complex problems. We've got a talented team of skilled, friendly, and driven individuals spanning the globe (primarily based in Canada and India), now we're looking to add more worl...

Role Summary We’re looking for a hands-on Senior ML Engineer (6–10 years) who can: • Lead design and delivery of LLM & Document AI solutions end-to-end • Own ML services in production (APIs, pipelines, monitoring) • Mentor a team of ML engineers and work directly with clients (US & India) This is a technical leadership role, not a pure manager role. Key Responsibilities • Own the end-to-end lifecycle of AI features – from requirement understanding and solution design to development, deployment and monitoring. • Build LLM/RAG-based solutions using vector databases (e.g., pgvector, FAISS, Chroma, OpenSearch) for search, Q&A, extraction and summarization over documents. • Develop Document AI mo...

Role Summary We’re looking for a hands-on Senior ML Engineer (6–10 years) who can: • Lead design and delivery of LLM & Document AI solutions end-to-end • Own ML services in production (APIs, pipelines, monitoring) • Mentor a team of ML engineers and work directly with clients (US & India) This is a technical leadership role, not a pure manager role. Key Responsibilities • Own the end-to-end lifecycle of AI features – from requirement understanding and solution design to development, deployment and monitoring. • Build LLM/RAG-based solutions using vector databases (e.g., pgvector, FAISS, Chroma, OpenSearch) for search, Q&A, extraction and summarization over documents. • Develop Document AI mo...

Role Summary We’re looking for a hands-on Senior ML Engineer (6–10 years) who can: • Lead design and delivery of LLM & Document AI solutions end-to-end • Own ML services in production (APIs, pipelines, monitoring) • Mentor a team of ML engineers and work directly with clients (US & India) This is a technical leadership role, not a pure manager role. Key Responsibilities • Own the end-to-end lifecycle of AI features – from requirement understanding and solution design to development, deployment and monitoring. • Build LLM/RAG-based solutions using vector databases (e.g., pgvector, FAISS, Chroma, OpenSearch) for search, Q&A, extraction and summarization over documents. • Develop Document AI mo...

We are seeking a seasoned AI Architect and Engineering Leader with proven expertise in end-to-end AI solution development, deployment, and architecture across multiple domains. In this dual-capacity role, you will be responsible for driving the AI technology strategy, leading execution, and managing a team of AI engineers and architects. This role blends hands-on Technical Leadership with Strategic Delivery ownership — ensuring innovation, scalability and client confidence across a growing portfolio of AI initiatives. It goes beyond building models — it’s about anchoring BOT’s AI practice, scaling talent and ensuring enterprise-grade outcomes from design to production. Key Responsibilities :...

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide. Our Culture We foster a vibrant startup culture that values: Intellectual curiosity Continuous learning Positive work environment Collaborative problem-solving Role Overview We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science ...

Company Description AdZeta turns insights from your data lake to profit signals that seamlessly integrate with your ad stack. We unify your first-party data, predict lifetime value, activate high-value signals, and prove revenue impact— governed, auditable and real-time. AdZeta was built on the premise that data without activation means nothing. Role Description: We’re not hiring a model‑tuner. We’re hiring a builder‑owner . The ideal candidate loves taking ownership, accountability and thrives in 0 → 1 execution. You'll own the entire end‑to‑end ML pipeline and orchestration layer — from raw data → features → models → deployment → monitoring → activation. You’ll ship scrappy v1s fast, then ...

Company Description Winbold is a startup working on a AI driven investment platform. Job Description This requires immediate joining. Do not apply if you have notice period. We are looking for a very motivated Data Science and Machine Learning Engineer with hands-on experience in feature engineering, model training and building models that run and provide real-time predictions and forecasts. The candidate must be well versed with the following: ML Packages - sklean, xgboost, timeseries models Feature engineering and feature stores MLFlow for Model experimentation Model visualization Model deployment in Cloud and in hosted environments at scale AI driven developers are welcome!! For immediate...

Position Overview Job Title: Data Scientist – ML Ops Engineer - Senior Engineer, AVP Location: Pune, India Role Description The Deutsche India is seeking a talented Data Scientist- ML Ops Engineer to join our growing team. At the “Service Solutions and AI” Domain, our mission is to revolutionize our Private Bank process landscape by implementing holistic, front-to-back process automation. As a Private Bank AI Centre of Excellence, we are responsible for strategy building and execution of AI innovation, governance, and delivery across Private Bank, ensuring standardization, compliance, and accelerated adoption of AI solutions. We are dedicated to leveraging the power of data and AI to drive i...

Position Overview Job Title: Data Scientist – ML Ops Engineer - Senior Engineer, AS Location: Pune, India Role Description The Deutsche India is seeking a talented Data Scientist- ML Ops Engineer to join our growing team. At the “Service Solutions and AI” Domain, our mission is to revolutionize our Private Bank process landscape by implementing holistic, front-to-back process automation. As a Private Bank AI Centre of Excellence, we are responsible for strategy building and execution of AI innovation, governance, and delivery across Private Bank, ensuring standardization, compliance, and accelerated adoption of AI solutions. We are dedicated to leveraging the power of data and AI to drive in...

As a visionary Generative AI Architect at GlobalLogic, your role will involve designing, implementing, and scaling enterprise-grade GenAI solutions. You will be leading the technical strategy and architecture for large language models (LLMs), RAG systems, Agentic AI frameworks, and end-to-end LLMOps pipelines to transform how the organization leverages AI for innovation and efficiency. **Key Responsibilities:** - Architect scalable GenAI solutions leveraging LLMs, RAG fine-tuning, embeddings, and vector databases - Design and operationalize LLMOps pipelines covering prompt management, evaluation, monitoring, and continuous improvement of model performance - Architect and build Agentic AI sys...

As a Senior AI Engineer, you will be responsible for designing, building, and deploying AI/ML models for various use cases including recommendation engines, NLP, computer vision, forecasting, and predictive analytics. You will lead model experimentation, validation, and optimization efforts to ensure high performance and accuracy. Additionally, you will develop and maintain MLOps pipelines for model versioning, deployment, and monitoring. Collaboration with data scientists, data engineers, and software developers to integrate models into production systems is a key aspect of your role. It is essential to stay updated with the latest AI research and industry trends and translate them into act...

As an Assistant Manager Data Engineering, your role will involve designing, building, and deploying scalable and robust AI solutions with deep expertise in Databricks Lakehouse platform. You will be responsible for the following key responsibilities: - Build and Deploy AI/ML Pipelines: Design and deploy end-to-end AI/ML pipelines at scale on Databricks using PySpark and MLflow. - Develop MLOps Workflows: Create and implement comprehensive MLOps workflows, including CI/CD, model monitoring, drift detection, and automated retraining strategies. - Implement Inference Solutions: Build both real-time and batch inference solutions, exposing models via APIs or integrated workflows. - Generative AI ...

You will be responsible for building the machine learning production System (or MLOps) and deploying state-of-the-art AI solutions for Fractal clients. As an MLOps Engineer, you will collaborate with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Your key responsibilities will include: - Enabling Model tracking, model experimentation, Model automation - Developing scalable ML pipelines - Developing MLOps components in the Machine learning development life cycle using Model Repository (e.g., MLFlow, Kubeflow Model Registry) - Working across all phases of the Model development life cycle to build MLOPS components - Building the knowledge ba...

Role Overview: You will be joining the Data Science and Artificial Intelligence Team at Hitachi Solutions, where you will have the opportunity to fast-track your career and work in a disruptive startup atmosphere focused on hypergrowth and innovation. As a Data Scientist, you will play a critical role in transforming the company into a billion-dollar product company by focusing on engineering excellence and simplifying cloud solutions for customers. Key Responsibilities: - Execute: Be action-oriented, detail-oriented, and customer-focused, building strong collaborative relationships with other teams, and iterating rapidly towards innovative solutions. - Learn: Continuously explore new techni...

Role Overview: As a Generative AI Engineer at our company, you will be a key member of our dynamic team, responsible for designing, building, and deploying cutting-edge generative models and applications. You will work on various tasks ranging from large language model (LLM) training and fine-tuning to developing sophisticated Natural Language Processing (NLP) solutions. If you are passionate about pushing the boundaries of artificial intelligence, we are excited to welcome you to our team. Key Responsibilities: - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques - Train, fine-tune, and evaluate large language models for specific use...

As a Sr. Python Gen AI Developer with 3 to 5 years of experience, you will be a part of the AI/ML engineering team contributing to building production-grade LLM solutions. Your responsibilities include: - Developing & optimizing ML models using PyTorch / TensorFlow / Keras - Building end-to-end LLM + RAG pipelines using LangChain / LangGraph - Working with OpenAI, Anthropic Claude, Azure APIs - Fine-tuning models using Hugging Face Transformers - Implementing semantic search with embedding models + pgvector - Working on transformer-based architectures (BERT, GPT, LLaMA, Mistral) - Implementing evaluation & monitoring: RAGAS, LangSmith - Developing FastAPI microservices (REST/GraphQL + WebSoc...