Senior AI Engineer(Gen AI+machine learning)

1 month ago

Bangalore, India Motorola Solutions Full time

Company Overview

At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We're solving for safer by building the best possible technologies across every part of our safety and security ecosystem. That's mission -critical communications devices and networks, AI-powered video security & access control and the ability to unite voice, video and data in a single command center view. We're solving for safer by connecting public safety agencies and enterprises, enabling the collaboration that's critical to connect those in need with those who can help. The work we do here matters.

Department Overview

AI

Job Description

Responsibilities:

1. Design, develop and implement Gen-AI applications and projects aligned to the business use cases and stories

2. Implement and showcase Proof-Of-Concept (POCs), showcase viability and impact of Gen-AI to the Product Development and Sales team.

3. Collaborate with cross-functional teams to identify business problems and develop solutions in AI.

4. Create scalable Gen-AI systems capable of processing vast amounts of data.

5. Perform feature engineering, model selection, and hyperparameter tuning to optimize the performance of the models.

6. Build tools for monitoring, observability and deploying Gen-AI applications

7. Mentor and provide guidance to junior team members on Gen-AI and machine learning best practices and techniques.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.

2. Minimum of 7 years of industry experience working with machine learning algorithms and Python programming.

3. Hands-on experience in building Gen-AI application, working with Gen-AI frameworks, LLM Models

4. Proficiency in Python programming, with experience in libraries such as NumPy, Pandas, and scikit-learn. Knowledge of libraries like Tensorflow, Pytorch and Keras is crucial.

5. Hands-on expertise in understanding of frameworks like Langchain, Hugging face and worked on any vector database.

6. Solid understanding of machine learning algorithms and concepts, such as supervised and unsupervised learning, regression, classification, and clustering.

7. Strong analytical and problem-solving skills, with the ability to effectively communicate complex ideas to both technical and non-technical stakeholders.

8. Familiarity of cloud platforms and AI services in Azure or Google.

Travel Requirements

None

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

No

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please email

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