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AI ML Engineer
Pace Wisdom Solutions's logo

AI ML Engineer

Punya H's profile picture
Posted by Punya H
2 - 6 yrs
₹6L - ₹18L / yr
Bengaluru (Bangalore), Mangalore
Skills
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
skill iconPython
PyTorch
Scikit-Learn
TensorFlow
Keras
Cloud Computing

Location: Bangalore/ Mangalore

Experience required: 2-6 years.


Role Summary:

We are seeking a skilled and motivated AI/ML Developer to join our dynamic team. In this role, you will be instrumental in designing, developing, and deploying machine learning models that solve real-world challenges and drive our business forward.

The ideal candidate has a strong foundation in software engineering, a passion for machine learning, and hands-on experience building and scaling AI-powered solutions.


Key Responsibilities:

• Model Development & Training: Design, build, train, and validate machine learning models using state-of-the-art frameworks like TensorFlow, PyTorch, or Scikit-learn.

• Data Engineering: Develop robust data pipelines for collecting, cleaning, and preprocessing large datasets to prepare them for model training.

• Algorithm Research: Stay current with the latest advancements in AI/ML and apply cutting-edge algorithms and techniques to enhance our solutions.

• Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to translate business requirements into technical solutions.

• Performance Optimization: Analyze and optimize the performance, scalability, and efficiency of ML systems.


Required Skills & Qualifications

• Experience: 2-6 years of professional experience in a software development or machine learning role.

• Programming: High proficiency in Python is essential. Experience with other languages like Java, C++, or Scala is a plus.

• ML Frameworks: Hands-on experience with core machine learning libraries and frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras.

• Cloud Computing: Proven experience with at least one major cloud platform (AWS, Google Cloud, or Azure) and their associated AI/ML services (e.g., SageMaker, Vertex AI, Azure ML).

• Data Tools: Experience with data processing technologies like SQL, Pandas, NumPy, and Spark.

• Software Engineering: Strong understanding of software development principles, including version control (Git), testing, and CI/CD pipelines.


About the Company:

Pace Wisdom Solutions is a deep-tech Product engineering and consulting firm. We have offices in San Francisco, Bengaluru, and Singapore.

We specialize in designing and developing bespoke software solutions that cater to solving niche business problems.


We engage with our clients at various stages:

• Right from the idea stage to scope out business requirements.

• Design & architect the right solution and define tangible milestones.

• Setup dedicated and on-demand tech teams for agile delivery.

• Take accountability for successful deployments to ensure efficient go-to-market Implementations.


Pace Wisdom has been working with Fortune 500 Enterprises and growth-stage startups/SMEs since 2012. We also work as an extended Tech team and at times we have played the role of a Virtual CTO too. We believe in building lasting relationships and providing value-add every time and going beyond business

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Pace Wisdom Solutions

Founded :
2012
Type :
Services
Size :
100-1000
Stage :
Profitable

About

Pace Wisdom Solutions is a deep-tech product engineering and consulting firm that specializes in designing and developing bespoke software solutions to solve niche business problems. They engage with clients at different stages, from idea stage to successful deployment, and have worked with Fortune 500 Enterprises and growth-stage startups/SMEs since 2012. They work as an extended tech team and have played the role of a Virtual CTO too. They operate in the software development industry and cater to various industries such as healthcare, finance, and e-commerce.
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