Salesforce Hyderabad AI Engineer or Lead AI Engineer Posts | Bachelor’s Degree/Master’s Degree | Apply Now
Salesforce is an American cloud-based software company, sells a complementary suite of enterprise applications focused on customer service, marketing automation, analytics, and application development.
In the latest job announcement, Salesforce announces job vacancies for AI Engineer or Lead AI Engineer posts, with work location in Hyderabad.
Under Salesforce Hyderabad AI Engineer or Lead AI Engineer 2025 Jobs, candidates having required skills in Python, machine learning, ML frameworks, SQL, Spark, and ETL can apply.
The selected candidate will be recruited with a permanent and full-time job.
An Interested and qualified candidate has to apply through online mode.
Job Designation: AI Engineer or Lead AI Engineer.
Job Code: JR280210.
Education Qualification: Bachelor’s Degree/Master’s Degree.
Experience Level: 5 to 10 years.
Job Location: Hyderabad.
Apply Mode: Online.
Key Responsibilities:
Machine Learning and AI Development:
- Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks.
- Perform model optimization for performance, scalability, and accuracy.
- Implement advanced feature engineering techniques for both structured and unstructured data.
- Leverage leading libraries like TensorFlow, PyTorch, and Hugging Face for experimentation and production.
- Write clean, maintainable, and highly optimized code while following advanced Git workflows like Gitflow.
- Build and optimize machine learning pipelines with tools like AWS SageMaker, Airflow, or Prefect.
- Deployment and tracking of real time and batch models
- Containerize applications using Docker and deploy them to cloud platforms.
- Implement robust CI/CD pipelines for seamless machine learning deployments.
- Design and optimize SQL queries and database schemas for efficient data retrieval.
- Develop and manage scalable feature engineering pipelines.
- Architect scalable, fault-tolerant machine learning systems.
- Drive engineering excellence through best practices in clean, modular code and system design.
Team Leadership:
- Mentor and guide junior data scientists, fostering a culture of learning and innovation.
- Establish and enforce standards and best practices for data science workflows.
- Influence stakeholders beyond the data science team, driving organizational alignment on DS/ML standards.
Operational Excellence:
- Establish and maintain streamlined, scalable processes for data science solution development.
- Align with company standards to ensure consistency and scalability in AI deployments.
Business Impact:
- Collaborate with stakeholders to define problems, metrics, and data-driven solutions.
- Translate complex technical insights into actionable business strategies that deliver measurable value.
Technical Expertise:
- Mastery of Python for data manipulation, machine learning, and software development.
- Proficiency in ML frameworks like TensorFlow, PyTorch, and scikit-learn.
- Knowledge of software engineering principles and best practices, including version control, code optimization, modular design, and testing methodologies.
- Experience with tools like Docker, AWS SageMaker, and Airflow for pipeline optimization.
- Proficiency in SQL, Spark, and ETL processes.
- Familiarity with Generative AI, LLMs, NLP frameworks, and vector databases.
- Hands-on experience with cloud platforms like AWS.
Soft Skills:
- Craft detailed design documents and technical white papers.
- Translate technical concepts into business-friendly language.
- Lead cross-functional discussions and align diverse viewpoints.
- Deliver polished presentations to senior stakeholders.
- Exhibit exceptional problem-solving and leadership abilities.
How to apply:
Interested and qualified job applicants have to apply through online mode, by initially registering with Salesforce career portal and login in to apply.
Apply online:
https://careers.salesforce.com/en/jobs/jr280210/ai-engineerlead-ai-engineer/
For more information about Salesforce vacancies, visit the Salesforce Recruitment page.
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