About this role
We are looking for a highly skilled AI/ML & Data Engineer with strong technical expertise, excellent communication skills, and the ability to engage with clients and drive opportunities toward closure. The ideal candidate will combine hands-on engineering capabilities with strong business acumen - someone who can understand complex client requirements, architect the right solution, present it confidently, and help convert opportunities into successful projects.
Core Responsibilities
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Develop, train, test, and optimize machine learning models for real-world applications.
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Perform data collection, cleaning, preprocessing, and feature engineering to prepare datasets for model development.
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Implement machine learning and deep learning algorithms to solve business problems.
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Develop AI-powered applications using Large Language Models (LLMs), prompt engineering, and Generative AI techniques.
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Build and integrate Retrieval-Augmented Generation (RAG) pipelines and work with embeddings and vector databases where required.
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Evaluate model performance using appropriate metrics and improve accuracy, efficiency, and reliability.
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Integrate AI/ML models into applications using REST APIs and backend services.
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Assist in deploying models to production and maintaining their performance.
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Collaborate with software engineers, product teams, and other stakeholders to deliver AI-driven solutions.
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Maintain clean, reusable, and well-documented code while following software development best practices.
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Stay updated with emerging AI/ML technologies, frameworks, and industry trends. Qualification
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Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
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At least 1 year of hands-on experience in AI/ML development through professional employment or relevant practical experience.
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Experience working on AI/ML projects, with the ability to explain the approach, implementation, and results.
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Understanding of the machine learning development lifecycle, from data preparation to model evaluation and deployment.
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Ability to troubleshoot technical issues and work collaboratively within a team.
Requirements
- Proficiency in Python programming and object-oriented programming concepts.
- Working knowledge of NumPy, Pandas, and Scikit-learn.
- Understanding of supervised and unsupervised learning algorithms.
- Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
- Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Basic experience with Generative AI, LLMs, prompt engineering, or AI APIs.
- Familiarity with REST APIs, Git, and model deployment practices.
- Strong analytical thinking, problem-solving, and communication skills.
Benefits
- Provident Fund, Medical Inpatient Facility, Medical Outpatient Facility, Paid Overtime, In-house Subsidized Lunch & Dinner, Gym Facility, Entertaining Activities, Interest Free Loan Facility, Advance Salaries and Sports Allowance.