AI Engineer

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 acrossbanking 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 Bachelors or Masters degree in Computer Science Data Science or a related field.