AI Engineering Manager

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 7 months ago
5-9 years
All India
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Posted: 7 months ago
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Applicants: 149+
Job Description
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Job Description

    As a Full Stack Developer specializing in AI and machine learning applications, you will be responsible for developing, designing, and implementing applications utilizing a full-stack development approach. Working closely with multi-functional teams, you will architect scalable AI solutions, integrate APIs, and ensure seamless user experiences. Your role will involve developing and implementing machine learning models and pipelines to support various business needs, as well as applying Generative AI techniques to enhance application capabilities such as natural language processing, image generation, and predictive modeling.
    In addition to creating new applications, you will also be tasked with maintaining and improving existing AI applications, with a focus on performance, scalability, and robustness. Collaboration with data scientists, product managers, and other partners will be essential in designing and implementing AI strategies. You will also be expected to stay up-to-date with emerging technologies, continuously researching and evaluating new tools to drive innovation within the organization.
    To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with proven experience as a Full Stack Developer in the AI and machine learning domain. Strong proficiency in programming languages like Python, JavaScript, or Node.js is required, as well as experience with frontend frameworks such as React, Angular, or Vue.js, and backend technologies including RESTful APIs, Django, or Flask.
    Expertise in machine learning frameworks like PyTorch or Scikit-learn, along with experience in Generative AI models and techniques such as GANs or transformers, will be beneficial. Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI/ML applications is also essential. A strong understanding of databases such as SQL, NoSQL, and data warehousing solutions like Snowflake is necessary for success in this role.

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    In addition to technical skills, excellent problem-solving abilities and the capability to work in a fast-paced, collaborative environment are key requirements. Experience with DevOps practices, continuous integration and deployment tools, microservices architectures, and containerization tools like Docker and Kubernetes will be advantageous. Familiarity with version control systems like Git, as well as experience in establishing development standards, security protocols, and compliance requirements across projects, are also important for this position.
    If you have experience in enterprise-level integrations and data engineering projects, along with familiarity with data visualization tools such as Tableau or Power BI, it would be considered a plus. Joining our team will provide you with the opportunity to work on cutting-edge technology and contribute to digital healthcare advancements. Your expertise will help shape and define the technologies of the future, with the support and investment needed to succeed. If you are ready to make an impact and thrive in a dynamic and innovative environment, we encourage you to apply now and be part of our ambitious world.,

Skills

FlaskNodejsScikitlearnMicroservices ArchitecturesDockerSnowflakeAngularGenerative AIPythonOpenAISQLRESTful APIsJavaScriptDjangoReactAWSGitAzureNoSQLVuejsGoogle CloudDevOpsTransformersPyTorchGANsKubernetes

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About Company

AstraZeneca is a global, science-led biopharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines.

Important dates & deadlines?

Application Deadline

23 Oct 25, 04:07 PM IST

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