MLOps Engineer

Role & responsibilities Design and implement scalable AI/ML models for real-world business applications. Manage the end-to-end ML model lifecycle: data acquisition, preprocessing, training, validation, deployment, and monitoring. Collaborate with data engineers, software developers, and product managers to integrate AI seamlessly into products and solutions....

We are hiring a ML Engineer to design and deliver cutting-edge computer vision solutions. You will lead end-to-end projects, mentor engineers, and work directly with clients to build scalable AI systems that make a real impact. Key Responsibilities- Develop and deploy computer vision models (object detection, tracking, activity analysis, quality control).-...

Classical ML- XGBoost, Random Forest, SVM, Deep Learning- CNNs, RNNs, LSTMs, Transformers, NLP- BERT, GPT, LLaMA, T5, GenAI- Diffusion models, LLM fine-tuning, prompt engineering, Python, SQL, and ML libraries-scikit-learn, Hugging Face, LangChain Required Candidate profile Experience with cloud platforms (Azure, AWS, GCP) and MLOps tools (AML, MLflow,...

What does day-to-day look like: Develop and maintain DS/ML solutions, including data pipelines, model training, evaluation, and optimization. Collaborate with business stakeholders to gather and clarify requirements Translate business requirements into DS/ML code that accurately reflects business logic Write efficient, maintainable, and well-documented DS/ML...

Role & responsibilitiesDesign and implement scalable AI/ML models for real-world business applications.Manage the end-to-end ML model lifecycle: data acquisition, preprocessing, training, validation, deployment, and monitoring.Collaborate with data engineers, software developers, and product managers to integrate AI seamlessly into products and...

We are hiring a seasoned AI/ML leaderThe candidate will bridge client needs with technical delivery through solution design, estimation, coding, and deploymentHands-on coding in Python is essentialExperience with LLMs, Agentic AI, Hugging Face, LangChain, Azure, and MLOps is requiredThe ideal candidate will lead AI architecture and guide teams to build...

We are seeking a highly skilled Machine Learning Lead with a minimum of 5+ years of proven experience in developing, deploying, and optimizing computer vision projects in production environments. The ideal candidate should have hands-on expertise in building and scaling computer vision solutions such as object detection, facial recognition, defect detection,...

Description : Role : Software Architect Location : Bengaluru / NCR / Hyderabad / Mumbai / Pune (Hybrid)About the Opportunity : Were looking for a Software Architect to drive high-level design and system architecture decisions for our AI and MLOps platform. Youll define frameworks, ensure scalability, and guide teams in implementing reliable,...

Education Bachelors or Masters degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline; PhDs preferredSpecialization or research in applied machine learning, MLOps, or ML systems preferredExperience7+ years of experience designing, developing, and deploying ML models in production environments4+ years of experience...

Description :Role Overview : We are seeking a seasoned hands-on AI/ML professional to lead initiatives in computer vision, with a strong focus on vision models, image & video processing and knowledge of low-footprint edge deployments. This role will drive innovation across industrial use cases, collaborating with cross-functional teams to deliver...