193 Ml Pipelines Jobs

4+ years of experience with at least 2+ years of relevant DS experience. Proficient in a structured Python (preferred) Follows good software engineering practices and has an interest in building reliable and robust software. Good knowledge of DS concepts and professional experience in developing and enhancing algorithms and models to solve business problem. Conducting quantitative analyses and interpreting results. Working knowledge of Linux or Unix environments ideally in a cloud environment. Working knowledge of Spark/PySpark is desirable. Excellent written and verbal communication skills.

Role Summary: Designs and implements machine learning models and algorithms to solve complex data problems. Responsibilities: Build and train ML models using structured and unstructured data. Optimize model performance and scalability. Collaborate with data scientists and software engineers. Qualifications: Bachelors or Master’s in Computer Science, AI, or related field. Experience with ML frameworks and libraries. Key Skills: Python, R TensorFlow, PyTorch, Scikit-learn Data preprocessing and feature engineering Model evaluation and deployment

Key Responsibilities : We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the R&D team at Siemens EDA. In this role, you will : Architect, design, and implement AI algorithms and applications using modern software development practices to enhance simulation tools performance and capabilities. Create prototypes to validate ideas and features quickly. Experiment with various algorithms and technologies to improve AI capabilities and software solutions. Contribute to the development and enhancement of production-quality components, algorithms, and engines while supporting and improving existing codebases. Solve complex, open-ended probl...

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...

Role & responsibilities ML ENGINEER - Production MLOps & Model Deployment Preferred candidate profile ML ENGINEER - Production MLOps & Model Deployment Position Title: ML Engineer - Vertex AI Pipeline Specialist Position Summary: The ML Engineer will operationalize Clients predictive models through robust MLOps pipelines on GCP Vertex AI. This role focuses on model deployment, monitoring, and CI/CD integration to ensure scalable, reliable analytics solutions for lead scoring, pricing optimization, and retention modeling within Client’s semi-Agile delivery framework. Core Responsibilities: Build end-to-end MLOps pipelines using Vertex AI Pipelines and Feature Store Implement model versioning,...

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting chall...

Job Description: Designation: Sr. MLOps Engineer Location: Hyderabad Advanced Analytics Center Role Value Proposition Bridging the gap between machine learning and operational excellence within a Advanced Analytics team. By automating the deployment, monitoring, and maintenance of machine learning models, this role ensures that data-driven insights are seamlessly integrated into business processes. Collaboration with data scientists and engineers, the ML Ops Engineer enhances model performance, scalability, and reliability. Drive efficiency and innovation, fosters a culture of continuous improvement, enabling the organization to leverage machine learning for data decision-making. Job Respons...

5 years of experience in MLOps and 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

5 years of experience in MLOps and 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

About the Role: We are seeking an experienced Machine Learning Engineer Manager with 8-10 years of hands-on experience in machine learning, data science, and AI development, combined with proven leadership skills. You will lead a team of talented ML engineers and data scientists to design, build, and deploy scalable machine learning solutions that drive business impact. This role involves strategic planning, cross-functional collaboration, and mentoring team members to excel technically and professionally. Key Responsibilities: Design, develop, and deploy machine learning models and algorithms for various applications. Collaborate with data scientists, data engineers, and product teams to un...

CONTRACT TO HIRE OPPORTUNITY Must Have Skills 7+ years in AI/ML model development & deployment. Hands-on with TensorFlow, PyTorch, scikit-learn. Strong in Python, ML pipelines, and real-time data tools (e.g., Kafka). Experience in productionizing, optimizing, and monitoring AI/ML models. Collaboration with data engineering teams for data prep & consistency. Good to Have Knowledge of MinIO/S3/object storage. Experience with AWS SageMaker or other cloud AI/ML platforms.

Job Overview Summary The Lead Data Architect is a strategic and technical leadership role responsible for architecting, scaling, and evolving enterprise-grade data platforms that enable advanced analytics, AI/ML, and data-driven decision-making. Reporting to the Senior Director of Data Platforms , this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data solutions. This position combines hands-on engineering expertise with architectural vision and cross-functional leadership. The Lead Data Architect will guide engineering teams, influence platform strategy, and estab...

Job Overview Summary The Lead Data Architect is a strategic and technical leadership role responsible for architecting, scaling, and evolving enterprise-grade data platforms that enable advanced analytics, AI/ML, and data-driven decision-making. Reporting to the Senior Director of Data Platforms , this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data solutions. This position combines hands-on engineering expertise with architectural vision and cross-functional leadership. The Lead Data Architect will guide engineering teams, influence platform strategy, and estab...

Job Overview Summary The Lead Data Architect is a strategic and technical leadership role responsible for architecting, scaling, and evolving enterprise-grade data platforms that enable advanced analytics, AI/ML, and data-driven decision-making. Reporting to the Senior Director of Data Platforms , this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data solutions. This position combines hands-on engineering expertise with architectural vision and cross-functional leadership. The Lead Data Architect will guide engineering teams, influence platform strategy, and estab...

2 yrs of exp in Data Science, NLP & Python Exp in Gen AI+ MLOps Exp in Text data analysis, Prompt Eng, Cloud Vector DB ,Azure OpenAI models API, Graph QL Exp in LLMs, LLM frameworks Exp in Java ,C++,libraries(NLTK, SpaCy, TensorFlow) Exp in big data

2 yrs of exp in Data Science, NLP & Python Exp in Gen AI+ MLOps Exp in Text data analysis, Prompt Eng, Cloud Vector DB ,Azure OpenAI models API, Graph QL Exp in LLMs, LLM frameworks Exp in Java ,C++,libraries(NLTK, SpaCy, TensorFlow) Exp in big data

2 yrs of exp in Data Science, NLP & Python Exp in Gen AI+ MLOps Exp in Text data analysis, Prompt Eng, Cloud Vector DB ,Azure OpenAI models API, Graph QL Exp in LLMs, LLM frameworks Exp in Java ,C++,libraries(NLTK, SpaCy, TensorFlow) Exp in big data

Position Summary: We are seeking a skilled and innovative Machine Learning Developer to design, develop, and deploy machine learning models and AI solutions that solve complex business problems. The ideal candidate will have strong expertise in machine learning algorithms, data preprocessing, model training, and software engineering best practices. You will collaborate with data scientists, engineers, and product teams to integrate ML models into production systems. Key Responsibilities: Develop, train, and optimize machine learning models using large datasets. Design and implement data preprocessing pipelines to clean and prepare data for modeling. Collaborate with data scientists to unders...

10+ years of experience in data architecture, distributed systems, or ML platform engineering. Deep experience building on-premises or hybrid data systems (e.g., Spark, Kafka, Trino, Iceberg, Airflow). Strong understanding of LLM architecture, embeddings, vector search, and agentic workflows. Proven experience designing and implementing ML pipelines, inference runtimes, and data retrieval frameworks. Proficiency with at least one programming language (e.g., Python, Go, Java) and AI/ML frameworks (e.g., LangChain, Haystack, Hugging Face Transformers). Demonstrated expertise in designing and building scalable, production-grade RESTful APIs, enabling seamless integration across distributed syst...

As an MLOps professional, your role involves focusing on efficiency, scalability, and risk reduction in the development and deployment of machine learning models. You will play a crucial part in achieving faster model development, delivering high-quality ML models, and ensuring speedy deployment and production. Additionally, you will be responsible for overseeing, controlling, managing, and monitoring thousands of models for continuous integration, delivery, and deployment, thus ensuring vast scalability and efficient management. Key Responsibilities: - Ensure reproducibility of ML pipelines for seamless collaboration across data teams - Reduce conflict with devops and IT by facilitating tig...

Seeking MLOps Engineer Contractor with 7+ yrs exp in ML pipelines, CI/CD, dashboards. Skilled in Spark, PyTorch, TensorFlow, model ops, data pipelines & quality monitoring. Strong problem-solving & global team skills.

Mandatory Skills: * Python, Supervised / unsupervised modelling techniques, NLP, Extracting Insight from data * Deep learning frameworks -Tensorflow, PyTorch * Strong understanding of machine learning algorithms and principles * Data pre-processing and feature engineering , Model fine tuning Preferred additional skills: Strong hands on experience in developing solutions for Product discovery, Search. Hands on experience with developing ML based solutions for Query classification, intent identification, Vector search Location: Bangalore Notice Period: Immediate

Senior Data Scientist Chennai (AI/ML & BFSI Focus) From models to measurable impact — drive real change with AI. Location: Chennai, India Experience: 6–8 years in Data Science/ML (preferably in BFSI or other data-rich industries) Innovators who don’t just build models but drive measurable business impact. Expertise: Fierce desire to use AI in every aspect of their role, and complement them with human skills in anticipating and meeting client need. Proactive individuals who drive business, think on feet, who see solutions, not problems Role Overview As a Senior Data Scientist, you will design, build, and scale AI/ML solutions that power enterprise sales acceleration. You will collaborate with...

What you will do Build, test, and maintain reusable components for ML pipelines and data science use cases in collaboration with senior engineers and data scientists. Develop model tracking, versioning, and deployment workflows using MLflow and Databricks . Support data scientists across teams with infrastructure needs, connector usage, and dataset preparation. Help prototype and deploy internal tools (e.g., Streamlit apps) to visualize model results or enable user interactions. Follow engineering best practices around version control, documentation, and testing in shared repositories. Collaborate with enterprise engineering and data platform teams to ensure compliance with cloud architectur...

As a Staff Software Developer at Nuvae, your role involves designing large-scale AI systems, leading ML pipelines, designing scalable infrastructure, partnering with product and research teams, ensuring system performance, and mentoring engineers. You will be at the forefront of architecting and scaling next-generation healthcare AI platforms. Your responsibilities include: - Architecting and designing large-scale AI systems for revenue management and conversational intelligence platform. - Leading the development of end-to-end ML pipelines, including training, evaluation, and deployment of LLMs and agentic AI systems. - Designing scalable infrastructure for information retrieval (RAG), mult...