Machine Learning, Java Software Engineering
As a Machine Learning, Java Software Engineer at Salesforce, you will have the opportunity to work at the forefront of cutting-edge technology and make a significant impact on the world's leading customer relationship management platform. We are looking for passionate and driven individuals with a strong background in Machine Learning and Java development to join our dynamic team. If you are a self-motivated problem-solver with a desire to continuously learn and innovate, we want you to be a part of our team at Salesforce. Join us in shaping the future of digital transformation and revolutionizing the way businesses connect with their customers.
- Develop and implement machine learning algorithms and models to enhance Salesforce's customer relationship management platform.
- Collaborate with cross-functional teams to identify and solve complex business problems using machine learning techniques.
- Design and develop Java-based solutions to integrate machine learning capabilities into existing systems.
- Stay updated with the latest advancements in machine learning and Java development to continuously improve our platform.
- Perform data analysis and provide insights to drive business decisions.
- Troubleshoot and debug technical issues related to machine learning and Java development.
- Document and communicate technical solutions and recommendations to team members and stakeholders.
- Participate in code reviews and provide constructive feedback to team members.
- Proactively identify and propose ideas for new features and improvements to our platform.
- Collaborate with product managers and designers to understand user needs and translate them into technical requirements.
- Ensure the security, scalability, and performance of our machine learning and Java-based systems.
- Mentor and guide junior team members in developing their skills and knowledge.
- Adhere to coding standards and best practices set by the company.
- Participate in Agile development processes and contribute to sprint planning and retrospective meetings.
- Represent Salesforce at industry events and conferences to showcase our machine learning and Java capabilities.
Proficiency In Java Programming Language: As A Software Engineer At Salesforce, Strong Knowledge And Experience In The Java Programming Language Is Essential For Developing And Maintaining Machine Learning Models And Applications.
Experience In Machine Learning And Data Science: The Ideal Candidate Should Have A Solid Understanding Of Machine Learning Algorithms And Techniques, As Well As Experience In Data Manipulation And Analysis.
Familiarity With Salesforce Platform: Knowledge Of The Salesforce Platform And Its Various Tools And Services Is Highly Desirable For Developing And Deploying Machine Learning Solutions Within The Salesforce Ecosystem.
Strong Problem-Solving And Critical Thinking Skills: Machine Learning Engineers At Salesforce Should Possess Excellent Problem-Solving Abilities And Be Able To Think Critically To Identify And Resolve Complex Issues In A Timely Manner.
Team Player And Strong Communication Skills: Working In A Collaborative Environment, The Candidate Should Have Strong Interpersonal Skills And The Ability To Communicate Effectively With Team Members, Stakeholders, And Clients.
Data Analysis
Agile development
Database Management
Distributed systems
Deep Learning
Object-oriented design
Cloud Computing
Natural language processing
Statistical modeling
Java Programming
Predictive analytics
Communication
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
flexibility
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Machine Learning, Java Software Engineering in Hyderabad, Telangana, India is between ₹ 8,00,000 to ₹ 12,00,000 per year. This salary range can vary depending on the specific skills, experience, and qualifications of the individual, as well as the company they are working for.
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Salesforce.com, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer-relationship management service and also sells a complementary suite of enterprise applications focused on customer service, marketing automation, analytics, and application development.
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