Machine Learning Engineer
1 week ago
Job Description: We are seeking a talented and motivated Machine Learning Engineer with a focus on Generative AI and MLOps to join our dynamic team. The ideal candidate will design, develop, and deploy machine learning models, leveraging generative AI techniques and operational best practices. You will collaborate closely with data scientists, software engineers, and product teams to deliver scalable AI-driven solutions that enhance business outcomes and customer experiences. Key Responsibilities: Design, build, and optimize machine learning and generative AI models , including model fine-tuning, embedding generation, and evaluation. Develop and maintain MLOps pipelines for model deployment, monitoring, retraining, and scaling across production environments. Implement data preprocessing, feature extraction, labeling, and augmentation workflows for robust model performance. Deploy and manage models in containerized environments using Docker and Kubernetes , integrating with cloud AI services (AWS, Azure, or GCP). Collaborate with cross-functional teams to identify, prototype, and productionize AI-driven solutions aligned with business objectives. Conduct A/B testing , monitor model drift and performance, and iterate model improvements. Implement data versioning , feature store management , and experiment tracking to ensure reproducibility. Maintain comprehensive documentation for algorithms, data pipelines, and model lifecycle management. Stay current with advancements in machine learning, generative AI , and MLOps practices . Skills and Tools Required: Solid foundation in Python , NumPy , Pandas , Scikit-learn , and Matplotlib for data analysis and model development. Strong hands-on experience with TensorFlow or PyTorch for ML/DL model development. Understanding of AI model serving , API exposure , and inference optimization for real-time predictions. Familiarity with MLOps principles and tools such as MLflow , Kubeflow , and DVC for model orchestration and version control. Exposure to Generative AI techniques, including transformer architectures , GANs , VAEs , and fine-tuning for domain-specific tasks. Basic understanding of RAG (Retrieval-Augmented Generation) pipelines , vector databases , and similarity search mechanisms . Experience in A/B testing , model monitoring , and cloud-based ML operations . Knowledge of data versioning and feature store tools such as Feast or Tecton . Familiarity with version control systems like Git and CI/CD practices for ML workflows. Tools & Technologies: Machine Learning Frameworks: TensorFlow, PyTorch, Keras Data Processing Libraries: Pandas, NumPy, Scikit-learn Visualization Tools: Matplotlib, Seaborn MLOps Tools: MLflow, Kubeflow, DVC, Airflow Feature Stores & Data Versioning: Feast, Tecton Containerization & Orchestration: Docker, Kubernetes CI/CD & Automation: Jenkins, GitHub Actions Cloud Platforms: AWS, Azure, or GCP (AI/ML Services) Vector Databases: FAISS, Pinecone, Chroma (for embedding-based search) Preferred Qualifications: Experience working on projects involving Generative AI applications. Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes. Understanding of data privacy and ethical considerations in AI and machine learning. If you are passionate about leveraging machine learning to create innovative solutions and have a keen interest in Generative AI and MLOps, we encourage you to apply and join our forward-thinking team. Mandatory Skills AI ML Engineer, MLOps, Kubernetes
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Machine Learning Engineer
1 day ago
bangalore, India Machine Learning Plus Full timeKey responsibilities:1. Design, develop, and implement machine learning/python models and algorithms for production systems.2. Build and maintain scalable ML training and inference pipelines.3. Preprocess and analyze large datasets, including feature engineering and data validation.4. Deploy machine learning models into production environments and ensure...
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Machine Learning Engineer
21 hours ago
bangalore, India Machine Learning Plus Full timeKey responsibilities: 1. Design, develop, and implement machine learning/python models and algorithms for production systems. 2. Build and maintain scalable ML training and inference pipelines. 3. Preprocess and analyze large datasets, including feature engineering and data validation. 4. Deploy machine learning models into production environments and ensure...
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Machine Learning Associate
3 days ago
bangalore, India Machine Learning Plus Full timeKey responsibilities:1. Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines.2. Design and maintain modular, clean, and production-ready Python codebases.3. Collaborate with cross-functional teams (data, infra, and research engineers) to deliver reliable backend components.4. Write efficient, maintainable, and...
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Machine Learning Associate
2 days ago
bangalore, India Machine Learning Plus Full timeKey responsibilities: 1. Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines. 2. Design and maintain modular, clean, and production-ready Python codebases. 3. Collaborate with cross-functional teams (data, infra, and research engineers) to deliver reliable backend components. 4. Write efficient, maintainable,...
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Machine Learning Engineer
2 days ago
bangalore, India Capgemini Full timeAIML Engineer Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models...
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Machine Learning Engineer
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bangalore, India Animaker Inc. Full timeMachine Learning Engineer Job Description Job Title: Machine Learning Engineer – Creative Video Solutions Experience - 3+ Years Job Description: We are seeking a Machine Learning Engineer with a creative mindset and technical expertise to join our R&D team. This role bridges the gap between cutting-edge AI advancements and creative video solutions. The...
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Machine Learning Engineer
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bangalore, India Animaker Inc. Full timeMachine Learning Engineer Job Description Job Title: Machine Learning Engineer – Creative Video Solutions Experience - 3+ Years Job Description: We are seeking a Machine Learning Engineer with a creative mindset and technical expertise to join our R&D team. This role bridges the gap between cutting-edge AI advancements and creative video solutions. The...
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Machine Learning Engineer
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Bangalore, India Aqilea (formerly Soltia) Full timeWe are a consulting company with a bunch of technology-interested and happy people! We love technology, we love design and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where each individual is highly valued.With us, each individual is her/himself and respects others for who they are and we believe that when...
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Machine Learning Engineer
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bangalore, India OWOW Full timeAbout the Role:We're seeking experienced Machine Learning Engineers and Software Engineers with ML experience to design and build high-quality RL training environments for LLM agents. As an RL Environment Engineer, you'll create diverse machine learning tasks that challenge and improve language models, working with minimal supervision to deliver consistent,...
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Machine Learning Engineer
4 weeks ago
Bangalore Division, India Capgemini Full timeAIML Engineer Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models...
