Hexaware – Gen AI Developer Associate

Job Description

Hexaware is looking for a passionate Gen AI Developer Associate to begin a career in emerging artificial intelligence technologies. This opportunity is designed for fresh graduates and professionals with up to one year of experience who have a foundational understanding of Machine Learning, Natural Language Processing, and Generative AI. The selected candidate will contribute to the development of AI-powered solutions while strengthening practical knowledge of machine learning workflows, data preparation, model evaluation, and modern generative AI technologies. Strong programming ability, particularly in Python, along with a solid mathematical foundation will be important for this position. Candidates should have curiosity about rapidly evolving AI technologies and a genuine interest in experimenting with new approaches to solve real-world problems through intelligent software solutions.

The Gen AI Developer Associate will work on different stages of the machine learning development lifecycle, including data preprocessing, feature engineering, model development, experimentation, evaluation, and deployment. The role involves implementing machine learning models with a focus on generative AI and NLP applications and exploring recent developments in these areas. Candidates will use Python and popular machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn to build and experiment with AI solutions. The position may also involve working with generative AI models such as GPT-based technologies and understanding how language models can be applied to practical business and technology use cases. Writing clean, efficient, maintainable, and properly documented code will be an important part of delivering reliable AI solutions.

This role provides an excellent opportunity for early-career professionals to gain hands-on exposure to Generative AI, Machine Learning, NLP, Python programming, AI model development, and production deployment. The selected candidate will also assist with deploying and maintaining AI models in production environments, providing valuable experience beyond experimentation and academic projects. Hexaware is seeking candidates who can work independently when required while also collaborating effectively with technical teams. Strong problem-solving ability, mathematical reasoning, continuous learning, and adaptability will be valuable throughout the role. Candidates who are enthusiastic about AI innovation and willing to continuously explore new frameworks, models, techniques, and industry developments can use this opportunity as a strong foundation for a long-term career in Generative AI and machine learning engineering.

Roles & Responsibilities

• Develop and implement machine learning models with a particular focus on Generative AI and Natural Language Processing applications for practical technology and business use cases.
• Perform data preprocessing and preparation activities to transform raw datasets into structured and usable information for machine learning experiments and model development.
• Apply appropriate feature engineering techniques to improve the quality and usefulness of data provided to machine learning models.
• Participate in model evaluation activities by analyzing performance, comparing results, identifying limitations, and supporting improvements to AI solutions.
• Research emerging developments in Generative AI, NLP, Machine Learning, and large language models and experiment with relevant techniques where appropriate.
• Work with Python and machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn to develop, test, and improve AI-based solutions.
• Explore generative AI models and technologies, including GPT-style language models, to understand their capabilities and potential applications.
• Write clean, efficient, maintainable, and well-documented code that follows appropriate software development and machine learning engineering practices.
• Assist in preparing AI models and related components for deployment into production environments while following established development and operational processes.
• Support the monitoring and maintenance of deployed AI models, helping identify potential issues and contributing to improvements in model reliability.
• Collaborate with other developers, data professionals, and technical team members to discuss requirements, experiment with solutions, and solve implementation challenges.
• Continuously develop technical knowledge by learning new AI frameworks, machine learning methods, programming techniques, and developments in the rapidly evolving Generative AI ecosystem.

Requirements & Eligibility

• Candidates should have a Bachelor’s degree in Computer Science, Mathematics, Engineering, or another closely related technical discipline.
• Fresh graduates and professionals with up to 1 year of experience in AI, machine learning, software development, data science, or related areas can apply.
• Strong programming skills in Python are preferred, along with a good understanding of programming fundamentals, logical thinking, and code development practices.
• Candidates should have a basic understanding of Machine Learning concepts, including supervised learning, unsupervised learning, model training, prediction, and evaluation.
• Knowledge of Natural Language Processing concepts and commonly used NLP techniques or tools is required for working with language-focused AI applications.
• Candidates should have foundational knowledge of Generative AI models, including an understanding of GPT-style models and their potential use in AI-powered applications.
• Familiarity with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn will be valuable for developing and experimenting with AI models.
• A strong mathematical foundation covering linear algebra, probability, and statistics is important for understanding machine learning algorithms and model behavior.
• Candidates should possess strong analytical and problem-solving abilities and be willing to investigate technical challenges rather than relying solely on predefined solutions.
• Good teamwork and communication skills are required, along with the ability to work independently when assigned tasks and collaborate effectively when solving complex problems.
• A strong willingness to learn new technologies is essential because Generative AI and machine learning technologies are evolving rapidly and require continuous technical development.

Preferred Skills – Good to Have

• Generative AI
• Large Language Models
• GPT Models
• Natural Language Processing
• Machine Learning
• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Data Preprocessing
• Feature Engineering
• Model Evaluation
• Linear Algebra
• Probability
• Statistics
• AI Model Deployment

Key Competencies

• Analytical thinking
• Logical reasoning
• Machine learning fundamentals
• Python programming
• Problem-solving ability
• Mathematical aptitude
• AI experimentation
• Research mindset
• Attention to detail
• Team collaboration
• Independent working
• Continuous learning
• Adaptability
• Technical curiosity
• Innovation mindset

What We Are Looking For

The ideal candidate should be genuinely interested in understanding how Artificial Intelligence, Machine Learning, Natural Language Processing, and Generative AI can be used to build practical solutions. A strong academic foundation alone is not enough; candidates should demonstrate curiosity, willingness to experiment, and the ability to understand technical concepts through hands-on learning. Knowledge of Python and machine learning fundamentals will provide the foundation for working on AI models, while familiarity with NLP and generative AI will help candidates contribute to language-based applications and emerging AI use cases.

Hexaware is looking for early-career professionals who are comfortable learning in a rapidly changing technology environment. The successful candidate should be able to approach problems logically, work collaboratively with technical teams, and independently explore solutions when required. Candidates should also understand the importance of writing quality code, documenting their work, evaluating model performance, and continuously improving their technical knowledge. A genuine interest in new AI developments, particularly Generative AI and large language models, can help candidates make the most of this opportunity and build a strong foundation for a career as an AI Engineer, Machine Learning Engineer, NLP Engineer, or Generative AI Developer.

Role Focus

• Primary Focus: Generative AI and Machine Learning Development
• Secondary Focus: NLP, Python, Data Preprocessing, Feature Engineering, Model Evaluation, AI Deployment

Experience

• 0–1 Year: Fresh graduates and early-career professionals with foundational AI and programming knowledge can apply.
• Fresh Graduates: Candidates with a relevant Bachelor’s degree and strong technical aptitude may be considered.
• Preferred: Academic projects, internships, or practical exposure to Machine Learning, NLP, Generative AI, Python, or AI model development will be advantageous.

Expected Salary

For a Gen AI Developer Associate in India with 0–1 year of experience, the expected salary can generally be estimated around ₹4 lakh to ₹8 lakh per annum, depending on technical skills, educational background, practical AI projects, programming ability, and the employer's compensation structure. Candidates with stronger Python, machine learning, NLP, Generative AI, and model deployment capabilities may have opportunities toward the higher end of the range.

🚨 Stop Scrolling – This Could Be Your Shortcut to Interviews

Most candidates apply to 100+ jobs and never hear back.
The real reason? They don’t know where recruiters are actually hiring from.

Our April Hiring PDF includes verified HR emails and hiring details from companies like:

Dentsu, IBM, HCL, PwC, LTIMindtree, Wipro, Cognizant, Deloitte, Capgemini, Amazon, TCS, Infosys, EPAM, EY, NTT Data, Tech Mahindra, Fractal, GlobalLogic, Coforge, UST and many more.

Inside you’ll find:
✔ 300+ Fresher Job Opportunities
✔ 2500+ Verified HR Emails & Contacts
✔ Direct Hiring + Consultancy Openings
✔ IT & Non-IT Roles

🔥 60+ students placed recently using these hiring leads

👉 Grab the April Hiring List Now: April Hiring PDF