5 Ml Workflows Jobs

Build predictive & GenAI models (LLM chatbots, RAG pipelines) Deploy models using MLOps practices on cloud (AWS/GCP/Azure) Design A/B tests and run impact-focused data experimentsEnsure data quality, governance,

OneDose is revolutionizing medication management through the utilization of advanced AI and data-driven solutions. The primary objective is to enhance the intelligence, safety, and accessibility of every dose on a large scale. Patients often face challenges such as cost constraints, availability issues, or allergies, resulting in missed medications. Addressing this multifaceted clinical and supply chain dilemma necessitates seamless data integration, real-time intelligence, and precise recommendations. The responsibilities include integrating formulary data, supplier inventories, salt compositions, and clinical guidelines into a unified ontology. Moreover, developing a clinical decision support system that offers automated suggestions and deploying real-time recommendation pipelines using Foundry's Code Repositories and Contour (ML orchestration layer). The role of Palantir Foundry Developer is a full-time, on-site position based in Jaipur. The key responsibilities involve constructing and managing data integration pipelines, creating analytical models, and enhancing data workflows using Palantir Foundry. Daily tasks encompass collaborating with diverse teams, troubleshooting data-related issues, and ensuring data quality and adherence to industry standards. The ideal candidate should possess profound expertise in Palantir Foundry ranging from data integration to operational app deployment. Demonstrated experience in constructing data ontologies, data pipelines (PySpark, Python), and production-grade ML workflows is essential. A solid grasp of clinical or healthcare data (medication data, EHRs, or pharmacy systems) is highly advantageous. Additionally, the ability to design scalable, secure, and compliant data solutions for highly regulated environments is crucial. A strong passion for addressing impactful healthcare challenges through advanced technology is desired. A Bachelor's degree in Computer Science, Data Science, or a related field is required. Joining OneDose offers the opportunity to make a significant impact by enhancing medication accessibility and patient outcomes in India and globally. You will work with cutting-edge technologies like Palantir Foundry, advanced AI models, and scalable cloud-native architectures. The work environment promotes ownership, growth, innovation, and leadership, enabling you to contribute to shaping the future of healthcare.,

Develop digital reservoir modeling tools and Petrel plugins. Integrate geological and geophysical data, apply ML and data engineering, and support forecasting through advanced cloud-based workflows. Required Candidate profile Earth scientist with experience in Petrel, Python, and Ocean plugin development. Strong background in reservoir modeling, digital workflows, and cloud-based tools (Azure, Power BI).

Role & responsibilities Proven experience as a Site Reliability Engineer (SRE) or in a similar role. Strong knowledge of machine learning concepts and workflows. Proficiency in programming languages such as Python, Java, or Go. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization technologies like Docker and Kubernetes. Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Strong problem-solving skills and the ability to troubleshoot complex issues. Excellent communication and collaboration skills. Preferred candidate profile Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn Knowledge of data engineering and data pipeline tools such as Apache Spark, Apache Kafka, or Airflow. Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK stack. Familiarity with infrastructure as code (IaC) tools like Terraform or Ansible. Experience with automated testing frameworks for machine learning models. Knowledge of security best practices for machine learning systems and data. Education : Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree in Computer Science, Engineering, or a related field.

Role & responsibilities Engage with clients and prospects during meetings to understand their needs and provide real-time technical solutions for DevOps and ML challenges. Design scalable, secure, and efficient DevOps infrastructures, CI/CD pipelines, and ML workflows tailored to client requirements. Collaborate closely with the sales team to create technical proposals, presentations, and align solutions with business goals. Provide immediate, innovative recommendations for DevOps and ML-related queries, clearly communicating the feasibility and implementation strategies. Lead the technical discussions and ensure that proposed solutions integrate the latest technologies, frameworks, and best practices. Serve as the primary technical point of contact for clients during the sales process, addressing technical concerns and fostering strong client relationships. Collaborate with internal technical teams to ensure that the proposed solutions are aligned with client requirements and that they can be delivered effectively. Share knowledge of tools, best practices, and methodologies with internal teams, enhancing the overall technical capability of the organization. Stay up-to-date with the latest advancements in DevOps, cloud technologies, and machine learning to ensure innovative solution offerings. Mentor junior team members and provide guidance to ensure the overall success of technical initiatives. Prepare and present architecture diagrams, solution briefs, and technical documentation for clients and internal stakeholders.