AWS DevOps Engineer Dataviv Media Network

5.0 - 9.0 years

0 Lacs

haryana

On-site

You are an experienced Senior DevOps/MLOps Engineer who will be responsible for leading and managing a high-performing engineering team. Your main focus will be on overseeing the deployment and scaling of machine learning models and backend services using modern DevOps and MLOps practices. It is essential that you have proficiency in FastAPI, Docker, Kubernetes, and CI/CD. Your key responsibilities will include guiding and managing a team of DevOps/MLOps engineers, optimizing, containerizing, and deploying FastAPI applications at scale, managing infrastructure using tools like Terraform or Helm, handling multi-environment Kubernetes clusters (GKE, EKS, AKS, or on-prem), managing ML model lifecycle including versioning, deployment, monitoring, and rollback, designing and maintaining robust CI/CD pipelines for model and application deployment, setting up observability tools such as Prometheus, Grafana, ELK, ensuring secure infrastructure and data pipelines. Your required skills should include a deep understanding of building, scaling, and securing APIs with FastAPI, expert-level experience in Docker and Kubernetes for containerization and orchestration, familiarity with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, ArgoCD, or similar, experience with cloud platforms such as AWS/GCP/Azure, strong scripting and automation skills with Python, and knowledge of ML Workflow Tools like MLflow, DVC, Kubeflow, or Seldon. Preferred qualifications for this role include experience in managing hybrid cloud/on-premise deployments, strong communication and mentoring skills, and an understanding of data pipelines, feature stores, and model drift monitoring. This is a full-time, permanent position that requires in-person work location.,

Posted 1 week ago

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Java Developer with AI/ML Experience Ampstek

2.0 - 6.0 years

0 Lacs

hyderabad, telangana

On-site

You are a Java Developer with AI/ML experience, required to have at least 5+ years of industry experience in Java, Spring Boot, Spring Data, and a minimum of 2 years of AI/ML project or professional experience. You should possess a strong background in developing and consuming REST APIs and asynchronous messaging using technologies like Kafka or RabbitMQ. Your role involves integrating AI/ML models into Java services or making calls to external ML endpoints. You need to have a comprehensive understanding of the ML lifecycle encompassing training, validation, inference, monitoring, and retraining. Familiarity with tools such as TensorFlow, PyTorch, Scikit-Learn, or ONNX is essential. Previous experience in implementing domain-specific ML solutions like fraud detection, recommendation systems, or NLP chatbots is beneficial. Proficiency in working with various data formats including JSON, Parquet, Avro, and CSV is required. You should have a solid grasp of both SQL (PostgreSQL, MySQL) and NoSQL (Redis) database systems. Your responsibilities will include integrating machine learning models (both batch and real-time) into backend systems and APIs, optimizing and automating AI/ML workflows using MLOps best practices, and monitoring model performance, versioning, and rollbacks. Collaboration with cross-functional teams such as DevOps, SRE, and Product Engineering is necessary to ensure smooth deployment. Exposure to MLOps tools like MLflow, Kubeflow, or Seldon is desired. Experience with at least one cloud platform, preferably AWS, and knowledge of observability tools, metrics, events, logs, and traces (e.g., Prometheus, Grafana, Open Telemetry, Splunk, Data Dog, App Dynamics) are valuable skills in this role. Thank you. Aatmesh,

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Principal - Software Engineer Aliqan Services

9.0 - 13.0 years

9 - 13 Lacs

Bengaluru / Bangalore, Karnataka, India

On-site

Lead the development of scalable and efficient machine learning platform products. Develop technical specifications and architectures for new ML platform features and products. Collaborate with cross-functional teams across the globe to ensure product development aligns with business goals. Define and enforce engineering best practices to ensure high-quality deliverables. Participate in the code review process to ensure our code quality standards are met. Stay up-to-date with the latest ML platform technologies and trends to identify opportunities for product innovation. Participate in the hiring and onboarding process for new team members Communicate effectively with technical and non-technical stakeholders to ensure alignment on project goals and timelines. Required Skills and Experience - Candidate should have a Bachelors or Masters in Computer Science or equivalent Demonstrate Technical leadership with hands-on coding experience. 9+ years of experience of commercial software development with at least 3+ years working within the Machine Learning / AI space, Demonstrated excellence participating on cross functional teams in fast-paced environments, both in terms of technical leadership and hands-on coding. Excellent ability to break down complex problems into simple solutions. Willingness and ability to learn, evaluate, and make recommendations for leveraging new technologies. Strong analytical skills and desire to write clean, correct and efficient code. Sense of ownership, urgency and pride in your work. Proven that you are a leader who prioritizes, communicates clearly, and partners effectively with both technical and nontechnical employees. Excellent command of tools and expertise for troubleshooting production issues. Experience working with Python, Docker, Kubernetes. Experience with Kubeflow, Seldon, Spark and AWS / Azure cloud service experience is a plus.

Posted 2 months ago

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