ML engineer

Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Software Engineering

General Summary:

Develops, creates, and modifies general computer applications software or specialized utility programs. Analyzes user needs and develops software solutions. Designs software or customizes software for client use with the aim of optimizing operational efficiency. May analyze and design databases within an application area, working individually or coordinating database development as part of a team. Modifies existing software to correct errors, allow it to adapt to new hardware, or to improve its performance. Analyzes user needs and software requirements to determine feasibility of design within time and cost constraints. Confers with systems analysts, engineers, programmers and others to design system and to obtain information on project limitations and capabilities, performance requirements and interfaces. Stores, retrieves, and manipulates data for analysis of system capabilities and requirements. Designs, develops, and modifies software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design. 

Preferred Qualifications

• 2+ years of experience as a ML Engineer or in a similar role 
• Experience with data modeling, data warehousing, and building ETL pipelines 
• Solid LLM experience
• Solid working experience with Python, AWS analytical technologies and related resources (Glue, Athena, QuickSight, SageMaker, etc.,) 
• Experience with Big Data tools, platforms and architecture with solid working experience with SQL
• Experience working in a very large data warehousing environment 
• Solid understanding on various data exchange formats and complexities 
• Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
• Strong data visualization skills             
• Understanding of Machine Learning; Prior experience in ML Engineering a must
• Ability to manage on-premises data and make it inter-operate with AWS based pipelines
• Ability to interface with Wireless Systems/SW engineers and understand the Wireless ML domain; Prior experience in Wireless (5G) domain a plus

Education

• Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
• Preferred Qualifications: Masters in CS/ECE with a Data Science / ML Specialization

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field.
 

• 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Principal Duties and Responsibilities:

• Completes assigned coding tasks to specifications on time without significant errors or bugs.
• Adapts to changes and setbacks in order to manage pressure and meet deadlines.
• Collaborates with others inside project team to accomplish project objectives.
• Communicates with project lead to provide status and information about impending obstacles.
• Quickly resolves complex software issues and bugs.
• Gathers, integrates, and interprets information specific to a module or sub-block of code from a variety of sources in order to troubleshoot issues and find solutions.
• Seeks others' opinions and shares own opinions with others about ways in which a problem can be addressed differently.
• Participates in technical conversations with tech leads/managers.
• Anticipates and communicates issues with project team to maintain open communication.
• Makes decisions based on incomplete or changing specifications and obtains adequate resources needed to complete assigned tasks.
• Prioritizes project deadlines and deliverables with minimal supervision.
• Resolves straightforward technical issues and escalates more complex technical issues to an appropriate party (e.g., project lead, colleagues).
• Writes readable code for large features or significant bug fixes to support collaboration with other engineers.
• Determines which work tasks are most important for self and junior engineers, stays focused, and deals with setbacks in a timely manner.
• Unit tests own code to verify the stability and functionality of a feature.

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