4 Mlops Workflows Jobs

As an AI/MLOps Platform Sales Specialist, you will play a crucial role in driving the adoption of our AI and MLOps platform among SMBs and enterprise clients. Your responsibilities will include identifying, qualifying, and closing sales opportunities by developing tailored solutions for industries such as retail, healthcare, and industrial products. Through strategic sales execution and client engagement, you will showcase the platform's capabilities in addressing specific challenges in areas like sales forecasting, supply chain optimization, and personalized customer experiences. Client engagement will be a key aspect of your role, requiring you to interact with stakeholders to understand their AI/ML challenges and provide guidance on deploying solutions effectively. Collaboration with technical teams and marketing will be essential to ensure seamless integration, design targeted campaigns, and build long-term relationships with clients. Leveraging your domain expertise in sales forecasting, AI applications, and industry-specific insights, you will contribute to improving decision-making processes and supporting clients in adopting AI for various use cases. To excel in this role, you should possess a strong understanding of AI/ML concepts, MLOps workflows, cloud platforms, and containerization tools. Your expertise in computer vision, NLP, and data science use cases, coupled with experience in sales forecasting and knowledge of retail, healthcare, and industrial sectors, will be invaluable. Your ability to meet or exceed sales quotas, communicate technical concepts effectively, and design scalable solutions based on client needs will be critical to your success. Ideally, you should have 7-10 years of experience in technical sales, platform sales, or enterprise solution sales, with a background in industries relevant to our target sectors. A Bachelor's degree in Computer Science, Engineering, Business, or a related field is required, while a technical MBA or equivalent qualification would be advantageous. Your excellent communication skills, both verbal and written, along with strong presentation abilities, will enable you to engage with diverse audiences and drive the adoption of our AI/MLOps platform effectively.,

About Biz-Tech Analytics At Biz-Tech Analytics, the focus is on developing production-grade computer vision and AI-driven automation solutions that turn complex data into actionable insights through scalable AI infrastructure. Currently, we are in search of a Senior Machine Learning Engineer to lead the design, development, and deployment of Computer Vision solutions in production environments. Responsibilities As a Senior ML Engineer at Biz-Tech Analytics, you will be responsible for leading the development and deployment of advanced computer vision systems that drive AI automation across various operational workflows. Your role will involve overseeing the entire solution lifecycle, from problem scoping and model development to deployment and performance monitoring. You will also collaborate with a team of ML engineers to: - Lead the design and deployment of computer vision models for tasks such as object detection, tracking, human activity analysis, and visual quality control. - Build and optimize image and video data pipelines to ensure a robust data flow from sensors, cameras, and other sources. - Architect real-time vision systems with a focus on latency, accuracy, and scalability for edge and cloud environments. - Mentor and guide junior ML engineers, promoting a culture of high technical standards and collaborative problem-solving. - Stay updated on the latest computer vision research and integrate new models into existing workflows. - Collaborate with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects. Qualifications To be considered for this role, you should possess: - At least 5+ years of experience in Machine Learning with a focus on Computer Vision projects deployed in production environments and optimizing models for runtime efficiency. - Proficiency in Python and demonstrated expertise in computer vision applications such as object detection, facial recognition, defect detection, and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc. - A solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies. - Previous experience in leading ML teams, mentoring engineers, and managing project deliverables. - The ability to thrive in an agile, startup-like environment that values problem-solving and ownership. - Excellent communication skills to effectively communicate complex technical concepts and develop actionable project plans. Good to Have Additionally, experience in the following areas would be beneficial: - Vision-based automation in the manufacturing industry. - Exposure to Generative AI workflows. - Familiarity with Large Language Models (LLMs) and building multi-modal AI pipelines. - Understanding of AI governance, data compliance, and security protocols. Why Biz-Tech Analytics Joining Biz-Tech Analytics means: - Tackling challenging AI problems that require innovative solutions. - Leading end-to-end AI projects with complete ownership. - Collaborating with a small, high-performing team where your contributions make a visible impact. - Enjoying a flexible, entrepreneurial work culture with opportunities for leadership and professional growth.,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line combining expertise in strategy, technology, data science, and creative design. As a Transformation Lead, your role will focus on Azure cloud architecture and implementing Generative AI (GenAI) solutions. This position involves designing and building secure, scalable applications using Azure services, leading migration to Azure, applying architectural patterns like microservices, and collaborating with various teams for solution delivery. In the realm of Generative AI Development & Integration, you will be responsible for designing and implementing GenAI solutions using frameworks such as LangChain, LangGraph, Autogen, crewAI, or OpenAI Agent SDK. Your tasks will include creating AI-powered solutions for use cases like intelligent document processing, automated content generation, enterprise search assistants, and decision-support systems. Additionally, you will integrate agentic components into production systems and ensure alignment with enterprise standards and business objectives. To qualify for this role, you should hold a Bachelors or Masters degree in Computer Science, Engineering, or a related field, with strong experience in Azure cloud services and infrastructure. Proficiency in Python for AI/ML development, practical understanding of GenAI frameworks, experience with LLMs and GenAI techniques, familiarity with containerization and orchestration, and knowledge of CI/CD and MLOps workflows are essential. Your ability to translate business needs into scalable technical solutions will be crucial for success in this position. At Capgemini, we value flexible work arrangements to support your work-life balance, offering options like remote work and flexible hours. Our commitment to career growth is evident through various growth programs and professions designed to help you explore diverse opportunities. You will have access to certifications in cutting-edge technologies such as Generative AI. Capgemini, a global business and technology transformation partner, focuses on accelerating organizations" transition to a digital and sustainable world. With a diverse team of over 340,000 members in 50 countries, Capgemini leverages its expertise in AI, cloud, and data to deliver end-to-end services and solutions. Trusted by clients for over 55 years, Capgemini is dedicated to unlocking technology's value to address a broad range of business needs and reported global revenues of 22.5 billion in 2023.,

The Senior Manager, Data Science will be responsible for building and scaling Netsmarts data science capabilities. You will lead the development and deployment of advanced analytics, AI/ML models, and predictive tools to support decision-making across product, clinical, and operational domains. This is a strategic and hands-on leadership role for someone who thrives in both managing teams and shaping technical direction. Key Responsibilities: Lead the strategy, work with various stakeholders to define the roadmap, and delivery of healthcare products Run the business based on operational metrics and status. This includes but is not limited to queue churn, trending, resource utilization, risk assessment and mitigation, project initiatives, and department-related data elements Make timely and effective decisions to ensure the team is prepared to deliver solutions on a strategic roadmap not just for the short-term Lead cross-functional change initiatives and develop strategies to support change in engineering processes and strategy Accountable for ensuring the capability and capacity of the team to advance and leverage the latest in programming languages, industry standards and software development methodologies. Become a trusted advisor for executive leaders across the company. This position may require availability outside of standard business hours as part of a rotational on-call schedule What Youll Need to Be Successful (Required Skills): At least 10+ years of professional experience in data science, machine learning, or applied analytics roles. Must have experience leading data science or machine learning teams. Experience with variable cost analysis and management for complex cloud-based solutions Experience in leading, coaching, and mentoring a team of data scientists; foster a culture of innovation and learning. Experience with full lifecycle development in product or engineering leadership using Agile methods for large, complex projects Deep understanding of statistical modelling, machine learning algorithms, and real-world data applications. Hands-on experience with data science frameworks and cloud platforms such as AWS, Azure, GCP. Education/ Certifications: Bachelor's degree in computer science, or related field. Preferred Skills: Experience designing, building and operating secure, scalable and highly available web and mobile applications, large-scale distributed systems using service-oriented architecture and message queue architecture in the cloud Understanding of cloud-based SaaS architectures – involves designing elastic solutions, distributed state, availability, scalability, etc. Experience building ML platforms or MLOps workflows. Exposure to driving adoption of AI/Automation to make the product development/QA cycle better Experience in healthcare, life sciences, or human services domains. Knowledge of healthcare regulatory and compliance including data governance, privacy, HIPAA, or FHIR standards Strong business acumen with the ability to link data insights to actionable outcomes. We work 5 days from office. Netsmart, India has setup our new Global Capability Centre(GCC) at Godrej Centre, Byatarayanapura (Hebbal area) -(https://maps.app.goo.gl/RviymAeGSvKZESSo6) .