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Capco

AI Engineer

Capco is hiring an AI Engineer in Pune, India. Level rates it ; you can apply on Capco.

Level's read on this job

  • Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
  • The posting mentions PyTorch, TensorFlow and scikit-learn among its tools and skills.
  • Capco has 721 other open roles on Level.

AI in this role

PyTorchTensorFlowscikit-learnKerasSageMaker
computer-visionnlp

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Pune

Experience - 5 to 10

Skills and Qualifications:

AI Engineer:

Key Responsiblities: 1. System Development: Designing and building AI models, such as neural networks, that learn from data and mimic human cognitive functions 2. Production Deployment: Transitioning research-level ML models into scalable, operational applications via APIs, microservices, or cloud platforms. 3. Data Handling & Training: Selecting, managing, and training models using large datasets, including natural language processing (NLP) and computer vision tasks. 4. Testing & Optimization: Evaluating accuracy, debugging, and improving AI performance to ensure systems run efficiently. 5. Collaboration: Working with data scientists and software engineers to align AI solutions with business objectives.

Required Skills and Qualifications: 1. Programming languages: Strong proficiency in Python, Java, or C++. How to use AI tooling to build up capability. Any UI/API automation framework. 2. ML Frameworks: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn. How to use MCP server. 3. Data & Cloud Tools: Proficiency in SQL, Big Data Technologies, and cloud platforms like AWS SageMaker, Azure ML, or Google Cloud 4. Technical Skills: Expertise in machine learning, deep learning, NLP, computer vision, and algorithm development. 5. Education: Typically requires a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

How we rate this

AI Engineer at Capco rates 94 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionNLPPyTorchTensorFlowscikit-learnKerasSageMaker

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. What NLP problem have you worked on, and how did you measure whether it actually worked?
  3. What are the limits of PyTorch that you've run into, and how did you work around them?
  4. What's a project where you used TensorFlow hands-on?
  5. Walk me through how you've used scikit-learn in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Computer vision, NLP, PyTorch, TensorFlow, and scikit-learn. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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