138 Ml Pipelines Jobs - Page 5

Dear Candidate, We are seeking a Machine Learning Engineer to develop predictive models and deploy them into production. Ideal for professionals passionate about AI and data science. Key Responsibilities: Develop and train machine learning models Preprocess and analyze large datasets Deploy models using scalable infrastructure Collaborate with product teams to integrate ML solutions Required Skills & Qualifications: Strong knowledge of Python and ML libraries (scikit-learn, TensorFlow, PyTorch) Experience with data preprocessing and feature engineering Familiarity with model deployment techniques Bonus: Experience with cloud ML services (AWS SageMaker, Google AI Platform) Soft Skills: Strong...

Design, develop, and deploy AI/ML models; build scalable, low-latency ML infrastructure; run experiments; optimize algorithms; collaborate with data scientists, engineers, and architects; integrate models into production to drive business value. Required Candidate profile 5–10 yrs in AI/ML, strong in model development, optimization, and deployment. Skilled in Azure, ML pipelines, data science tools, and collaboration with cross-functional teams.

This is an urgent and fast filling position - Need immediate joiners OR l1 month notice period We are Looking for 1)Junior AI/ML Engineer - Positions 2 open 2)Mid-level AI/ML Engineer -1 position open 3)Lead AI/ML Engineer - 1 position open Location: Ambattur, Chennai Fulltime position Job Summary: We are looking for a AI/ML Engineer to develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model depl...

Role Summary: We are seeking an experienced and talented Senior Engineer to join our MLOps team. In this role, you will play a crucial part in designing, developing, and maintaining scalable and reliable machine learning operations (MLOps) pipelines and infrastructure. You will collaborate closely with data scientists, software engineers, and other stakeholders to ensure the successful deployment and monitoring of machine learning models in production environments. Responsibilities: Design and implement robust MLOps pipelines for model training, evaluation, deployment, and monitoring using industry-standard tools and frameworks Collaborate with data scientists to streamline the model develop...

About Aplazo Aplazo is a Mexican BNPL startup redefining financial access for the underbanked. Unlike its global counterparts, Aplazo isnt just about debtits an alternative to cash, offering fair, simple, and transparent financial solutions. Founded four years ago, Aplazo enables users to split payments online and in-store without a credit card, empowering financial freedom and opportunity across Latin America. Our tech-driven approach minimizes credit loss while ensuring accessibility—even for the 40% of users with no credit history. With in-store transactions making up more than half of our business, we bridge the gap in Mexico’s evolving financial landscape. Merchants benefit from increas...

We're Hiring: Data Scientist Databricks & ML Deployment Expert Location: Mumbai/Pune Experience: 38 Years Apply Now! Are you passionate about deploying real-world machine learning solutions? We're looking for a versatile Data Scientist with deep expertise in Databricks, PySpark , and end-to-end ML deployment to drive impactful projects in the Retail and Automotive domains. What Youll Do Develop scalable ML models (Regression, Classification, Clustering) Deliver advanced use cases like CLV modeling , Predictive Maintenance , and Time Series Forecasting Design and automate ML workflows on Databricks using PySpark Build and deploy APIs to serve ML models (Flask, FastAPI, Django) Own model deplo...

As Lead ML Engineer , you'll lead the development of predictive models for demand forecasting, customer segmentation, and retail optimization, from feature engineering through deployment. As Lead ML Engineer, you'll lead the development of predictive models for demand forecasting, customer segmentation, and retail optimization, from feature engineering through deployment. Responsibilities: Build and deploy models for forecasting and optimization Perform time-series analysis, classification, and regression Monitor model performance and integrate feedback loops Use AWS SageMaker, MLflow, and explainability tools (e.g., SHAP or LIME)

Hi everyone. Open Positions in the Cloud Engineer Role Greetings from Tekaccel! This is an excellent opportunity with us. If you have that unique and unlimited passion for building world-class enterprise software products that turn into actionable intelligence, then we have the right opportunity for you and your career. What are we looking for? Job Title: Cloud Engineer Location: Gurgaon (Hybrid)Minimum once a month onsite (may increase as per project needs like deployments) Experience Required: 4-6 years Hire type: Contract Job Description: We are seeking a cloud engineer with strong hands-on experience in operationalizing AI/ML workloads in a GCP cloud environment. The ideal candidate will...

We are seeking an experienced ML/MLOps Engineer to join our team in India. The ideal candidate will have a strong background in machine learning operations, capable of bridging the gap between data science and production environments. Responsibilities Design, implement, and maintain machine learning systems and pipelines. Collaborate with data scientists to integrate models into production environments. Monitor and optimize the performance of deployed models. Automate and streamline ML workflows and processes. Ensure data integrity and quality throughout the lifecycle of machine learning projects. Develop CI/CD pipelines for ML model deployment and monitoring. Participate in code reviews and...

We are seeking an experienced ML/MLOps Engineer to join our team in India. The ideal candidate will have a strong background in machine learning operations, capable of bridging the gap between data science and production environments. Responsibilities Design, implement, and maintain machine learning systems and pipelines. Collaborate with data scientists to integrate models into production environments. Monitor and optimize the performance of deployed models. Automate and streamline ML workflows and processes. Ensure data integrity and quality throughout the lifecycle of machine learning projects. Develop CI/CD pipelines for ML model deployment and monitoring. Participate in code reviews and...

Strong understating of Python, ML concepts and frameworks, Fast API, Graph QL Experience in developing scalable APIs. Knowledge of AWS, preferred services are storage, EC2, Kubernetes Exposure of ML best practices, documentation and unit testing. ML Flow, AirFlow, ML pipeline creation, drift monitoring and control Experience in developing and deploying machine learning models in a production environment using CI/CD. Communicate with clients to understand requirements and ask right questions. Knowledge of Django and database design will be added advantage. Strong analytical and problem-solving skills. Standards : Model Deployment Standards Use standardized APIs (e.g., RESTful) to interface wi...

Key Responsibilities: AI/ML Architecture & Development Architect and implement end-to-end AI/ML solutions using Gen AI and LLMs tailored to business use cases. Design, fine-tune, and deploy large language models such as OpenAI GPT-4o, Gemini, Claude, LLaMA 3.2, and Phi. Build and scale production-ready applications using frameworks like FastAPI, Django, or similar. Develop, maintain, and optimize MLOps pipelines for automated model training, deployment, monitoring, and governance. Generative AI & NLP Expertise Lead the development and integration of generative AI models for applications including summarization, Q&A, sentiment analysis, and translation. Apply NLP and deep learning to enhance ...

As the Engineering manager, you will be managing the roadmap priorities for AI/MLSolution andwill bepoint of contactfor all technical issues and decisions, while managing stakeholders and partners across the organization. Provide technical leadership manage a high-performing engineering team to build and scale our next generationAI Solutions. Hire and directly lead a diverse team of top-tier ML and software engineers, taking charge of allfacetsof AI Products Design, Build,optimize, fine-tune Generative AI/LLM models/AI Solutions that can be integrated withnumerousapplications, support thousands of tenants, andoperateat scale in production to support variousPaypalAI Personalization initiative...

AI/ML Architect Location : Bangalore (Hybrid) Experience : 1015 years Key Requirements: Experience & Education 10+ years in total, 8+ years in AI/ML development 3+ years in AI/ML architecture Bachelor’s/Master’s in CS, AI/ML, Engineering, or similar Core Technical Skills Strong in TensorFlow, PyTorch Expertise in time series modeling and computer vision (object detection, facial/intrusion/anomaly detection) Hands-on with MLOps tools: MLflow, TFX, Kubeflow, SageMaker Experience in cloud (AWS, Azure, GCP) and edge AI (Jetson, Coral, OpenVINO) Proficient with Docker, Kubernetes, CI/CD pipelines Architecture & Integration Designed hybrid edge-cloud AI systems Integrated ML models into IIoT platf...

Job Description: Who are we Infosys NYSE INFY is a global leader in consulting technology and outsourcing solutions with annual revenues of over 15 64 B as of 2022 We enable clients in more than 50 countries to stay a step ahead of emerging business trends and outperform the competition Infosys Recognized as one of the 2022 World s Most Ethical Companies for the Second Consecutive Year by Ethisphere What are we looking for Lead Machine Learning Engineer We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning Space Our analysts have a blend of in depth domain expertise in one or more area...

Responsibilities: Design and develop AI/ML models Process large dataset Build Python pipeline or React UIs deploy models as APIs or UI features Collaborate with teams, test models, present results Maintain clear documentation of tools and workflows

Role: Data Science Leader Experience: 10-15 years of overall experience, with at least 5+ years in Data science roles along with 24 years in a Leadership or Managerial capacity. Technical Skills: Data Science & Machine Learning Deep understanding of statistical modeling, predictive analytics, clustering, NLP, and time series forecasting. Strong grasp of model evaluation, fairness, explainability, and business alignment. Programming Proficient in Python (or R) with experience in data science libraries like pandas, NumPy, scikit-learn, TensorFlow, or PyTorch. Ability to read and review code, debug, and advise on best practices. Cloud Computing Working knowledge of at least one major cloud plat...

This is an urgent and fast filling position - Need immediate joiners OR less than 1 month notice period AI/ML Engineer Location: Chennai Job Summary: We are looking for a Senior AI/ML Engineer to develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Role & responsibilities Key Responsibilities: Design, build, and optimize machine learning models for various business...

Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment Collaborate with data scientists and software engineers to operationalize ML models Develop and maintain CI/CD pipelines for ML workflows Implement monitoring and logging solutions for ML models Optimize ML infrastructure for performance, scalability, and cost-efficiency Ensure compliance with data privacy and security regulations Strong programming skills in Python, with experience in ML frameworks Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes) Proficiency in cloud platform (AWS) and their ML-specific services Experience with MLOps tools Experi...

Roles and Responsibilities: • Design, develop, and deploy machine learning models to solve real-world business problems. • Develop production-quality machine learning pipelines and frameworks using Python and Java. • Collaborate with data scientists, engineers, and business teams to define data requirements, model specifications, and system architecture. • Preprocess and clean large datasets, perform feature engineering, and ensure data quality for ML applications. • Implement, optimize, and deploy algorithms, ensuring scalability and performance in production systems. • Work with cloud-based platforms (AWS, GCP, Azure) for deploying and scaling machine learning models. • Stay current with t...

We are Hiring Senior Python with Machine Learning Engineer Level 3 for a US based IT Company based in Hyderabad. Candidates with minimum 7 Years of experience in python and machine learning can apply. Job Title : Senior Python with Machine Learning Engineer Level 3 Location : Hyderabad Experience : 7+ Years CTC : 28 LPA - 30 LPA Working shift : Day shift Job Description: We are seeking a highly skilled and experienced Python Developer with a strong background in Machine Learning (ML) to join our advanced analytics team. In this Level 3 role, you will be responsible for designing, building, and deploying robust ML pipelines and solutions across real-time, batch, event-driven, and edge computi...

We seek an innovative professional with expertise in AI tools like Copilot to boost engineering productivity. The role involves identifying bottlenecks, proposing tailored GenAI solutions, and integrating them into networking product development to streamline workflows and drive AI adoption across teams. Technologies: ------------------- GenAI Algorithms, LLM's, NLP, Hugging Face, RAG, OpenAI models, Microsoft and GitHub Copilot, Agentic AI, AI-powered tools, Advanced python for Datascience, Flash , REST API, debugging tools, parser tools, troubleshooting and investigating capabilities. Required Qualifications: ------------------------ 2+ years using GitHub Copilot, OpenAI, and other AI codi...

We are seeking a highly skilled AI Engineer with demonstrated expertise in both traditional Machine Learning modelling and modern GenAI techniques. This role involves building scalable AI systems using foundation models, parameter- efficient fine-tuning (PEFT), and robust MLOps pipelines, while also grounding your solutions in classical machine learning principles. The ideal candidate excels at blending structured data modelling with large language model capabilities to drive intelligent, efficient, and production-ready AI systems. Key Responsibilities: Design, build, and deploy predictive systems by combining traditional ML models (e.g., regression, tree-based, time series) with Generative ...

Job Summary We are seeking an AI Leader for building Guardrail Platform to drive the design, deployment, and governance of AI guardrails that ensure ethical, responsible, and compliant AI operations . This role involves collaborating with cross-functional teams to implement AI fairness, explainability, bias mitigation, security, and regulatory compliance frameworks across AI/ML pipelines. Roles & Responsibilities AI Guardrail Strategy & Implementation Define and implement AI guardrails to ensure ethical AI development, risk mitigation, and compliance. Establish automated monitoring for AI fairness, bias detection, and explainability. Lead the operationalization of Responsible AI (RAI) princi...

Job Overview (Primary Skills - GCP, Kubeflow, Python, Vertex.ai) As a Machine Learning Engineer, you will oversee the entire lifecycle of machine learning models. Your role involves collaborating with cross-functional teams, including data scientists, data engineers, software engineers, and DevOps specialists, to bridge the gap between experimental model development and reliable production systems. You will be responsible for automating ML pipelines, optimizing model training and serving, ensuring model governance, and maintaining the stability of deployed systems. This position requires a blend of experience in software engineering, data engineering, and machine learning systems, along with...