33 Ml Workflows Jobs - Page 2

2+ Yrs of relevant experience Strong Python programming skills Experience with Generative AI / LLMs Hands-on with LangChain / Hugging Face / OpenAI APIs Knowledge of ML workflows & data pipelines Opportunity to work on cutting-edge AI solutions

As a candidate for the position, your main responsibility will involve designing and implementing intelligent Agentic AI systems using LLMs, vector databases, and orchestration frameworks. You will also be tasked with building, deploying, and maintaining ML workflows utilizing AWS SageMaker, Lambda, and EC2 with Docker. Another key aspect of the role will be developing and managing ETL pipelines through AWS Glue and integrating them with structured/unstructured data sources. Additionally, you will be expected to implement APIs and full-stack components to support ML agents, including visualization tools using Streamlit, as well as reverse-engineer existing codebases and APIs to integrate AI ...

Senior Data Scientist(6-8 Yrs) Data Scientist Manager (Architect Exp is mandatory) :- 8-12 Yrs As a Senior Data Scientist/Manager specializing in Generative AI, you will: Shape Next-Generation Solutions : Partner with cross-functional teams to design and implement AI-driven systems that transform user experiences and streamline business processes. Enhance AI Through Data : Employ data-centric methodologies to improve model accuracy and responsiveness by curating high-quality datasets and optimizing real-time performance. Finetune Industry-Specific Gen AI Models : Adapt and fine-tune large language models for domain-specific applications using advanced techniques like instruction tuning, doma...

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 supp...

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 d...

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...