Top Machine Learning Jobs in India
The Lead ML Scientist is responsible for transforming data problems into analysis plans, developing tools for data collection and cleaning, creating predictive algorithms, and improving model performance. Additionally, they will supervise Junior Data Scientists and collaborate with various teams to develop software solutions for scientific problems.
The Senior MLOps Engineer will design and implement cloud solutions for ML applications, develop and manage CI/CD pipelines, and create data pipelines. They will oversee data science model lifecycle management and collaborate with multidisciplinary teams while documenting processes.
The DevOps/ML Engineer will design and maintain infrastructure on Google Cloud, implement containerization strategies, and integrate machine learning models into products. Responsibilities include CI/CD pipeline development, ensuring infrastructure reliability, and collaborating with cross-functional teams for product improvement.
The Senior MLOps Engineer role involves designing and implementing cloud solutions for ML applications, managing CI/CD pipelines, constructing data pipelines, overseeing data science model lifecycles, and collaborating with a multidisciplinary team to optimize and document processes.
The Senior AI Software Engineer is responsible for developing algorithms for medical datasets, including CT and MRI, utilizing machine learning and deep learning techniques. This role involves validating results, creating documentation, training team members, and supporting deployment of algorithms without daily supervision.
Develop innovative AI solutions, clean data for machine learning, build backend systems, train machine learning models, and optimize systems for scale. Engage with clients and justify AI/ML solutions.
Implement secure, scalable, and robust product features independently within Agile teams. Responsible for planning, identifying solutions, implementing features, and ensuring code quality at cloud scale. Experience in enterprise web applications and Microsoft technology stack required. Exposure to Windows Azure is desirable.
Seeking a Lead Software Engineer for the AI/ML team at Icertis to develop enterprise web applications using ASP.NET Core, ASP.NET, C#, and Python. Responsibilities include translating business objectives into product features, owning the end-to-end process, and mentoring team members. Requires 8+ years of experience and a Bachelor's degree in Computer Science or equivalent.
Design and develop enterprise-grade SaaS products using Microsoft stack on Azure. Take ownership of implementing Icertis Contract Management at customers. Evangelize best practices for security and performance. Mentor technical teams and recommend technology for successful implementation.
The Senior AI/ML Engineer will design and implement AI solutions using technologies like LangChain and LlamaIndex, focus on natural language processing, and contribute to open-source projects. Responsibilities also include mentoring junior engineers and optimizing AI models for cloud deployment.
As a Senior ML Engineer at Zuora, you'll leverage cutting-edge AI technologies to drive monetization across Zuora's products, focusing on developing end-to-end machine learning models, maintaining their performance, and collaborating with various teams to solve complex business challenges. Your work will greatly influence customer relationships and business strategies in the Subscription Economy.
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The Cloud ML/Ops Engineer will design and implement machine learning operations on Google Cloud Platform, working with tools like VertexAI and MLFlow. Responsibilities include creating end-to-end data pipelines, deploying ML models, and automating workflows using CI/CD and Infrastructure as Code. Strong programming skills in Java, Python, and SQL are crucial for performance monitoring and collaboration with cross-functional teams.
As a Senior Product Manager, you will lead the development of the Earnings platform, emphasizing Machine Learning solutions to enhance user experience. Your role includes defining product vision, collaborating with cross-functional teams, using data-driven insights for decision-making, and guiding the team in implementing scalable solutions.
The Data Annotator role involves accurately extracting, annotating, and quality controlling data from trade and financial documents. Responsibilities include using OCR tools, correcting data extraction errors, and collaborating with teams to improve automated processes. This position contributes to enhancing data accuracy and operational efficiency.
The Head of Solutions Implementation will manage client relationships, lead project teams, drive business development, and mentor team members. This role involves strategic planning, contributing to the firm's methodologies, and enhancing client solutions through advanced data analysis and automation.
The Software Developer I will design, develop, and implement software products for business projects, collaborating with teams and stakeholders. Responsibilities include coding, testing, quality assurance, and maintaining documentation while staying updated on new technologies and best practices.
The Analytics Engineer will work in the Data Analytics team to perform data analysis, implement analytics and machine learning solutions. Responsibilities include understanding data lifecycle, creating data models, enhancing data collection, ensuring data quality, and collaborating with business teams for analytics insights.
The Lead Data Scientist will lead the design, development, and implementation of advanced machine learning models and generative AI solutions for clients, overseeing data science projects using AWS and other cloud-native technologies from inception to deployment.
The Senior Software Engineer will contribute to AI/ML projects by designing, developing, integrating, deploying, and monitoring models across various media. The role emphasizes ownership, problem-solving, and independent decision-making to drive results in a fast-paced environment.
Join Symbl.ai as an ML Engineer - Generalist to develop and enhance the Conversation AI platform, particularly focusing on the Nebula product. Collaborate on innovative projects, optimize data pipelines, experiment for model improvement, and stay updated on ML advancements.
As a Product Manager at BuzzBoard, you will take ownership of product lines, develop roadmaps, and ensure user-centric solutions. You will collaborate across teams, leverage AI and ML technologies, and work in an agile environment to deliver high-quality products and optimize based on user feedback.
The Solutions Architect will lead the design and implementation of AI/ML solutions tailored to client needs. The role involves collaborating with sales and engineering teams, conducting technical workshops, and translating complex concepts into actionable solutions that enhance business outcomes. The candidate will also mentor junior staff and manage multiple projects effectively.
The AI/ML Team Lead will provide technical guidance to a team of engineers and data scientists, design scalable AI/ML solutions, oversee project execution, and cultivate a culture of learning and innovation. Responsibilities include collaboration with cross-functional teams and staying updated on AI/ML advancements.
The Senior Software Engineer at Shipsy will build and enhance features and tools for their AI-powered SaaS platform, working closely with company founders to support multiple businesses. Responsibilities include in-depth engineering work, ensuring product efficiency and security, and adapting to a dynamic startup environment.
The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.
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