Virtual Walk-in - AI Engineer

Job Title: Sr. AI Engineer

Location: Ahmedabad, Gujarat

Job Type: Full Time

Department: Machine Learning

Job Summary

The Sr. AI Engineer will be responsible for designing, developing, and deploying advanced machine learning models for various applications, including NLP, computer vision, and predictive analytics. This role requires strong expertise in AI technologies and collaboration with cross-functional teams to integrate AI solutions into production systems.

Key Responsibilities

• Design and develop machine learning pipelines for classification, regression, and NLP tasks.
• Implement and experiment with different machine learning algorithms and techniques, including supervised, unsupervised, and deep learning.
• Pre-process and clean large datasets for model training and evaluation.
• Train, evaluate, and optimize machine learning models using frameworks like TensorFlow, PyTorch, scikit-learn, and LangChain.
• Integrate machine learning models into production systems and monitor their performance.
• Develop machine learning pipelines for computer vision tasks, including object detection, image classification, and image segmentation.
• Implement and experiment with different machine learning algorithms specific to computer vision, such as convolutional neural networks (CNNs).
• Collaborate with data scientists, software engineers, and other stakeholders to develop and deploy machine learning solutions, particularly focusing on computer vision and LLM applications.
• Communicate complex technical concepts to non-technical audiences.
• Utilize cloud platforms (AWS, GCP, Azure) for deploying machine learning models.
• Apply database knowledge to efficiently store, retrieve, and manage large datasets used for training and evaluating models.

Required Skills & Qualifications

• Bachelor's/Master’s degree in Computer Science, AI, Machine Learning, or related field.
• Minimum 1+ years of experience in AI/ML development.
• Strong proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, scikit-learn, LangChain).
• Experience in NLP, computer vision, and deep learning.
• Hands-on experience with cloud platforms (AWS, GCP, Azure) for AI/ML deployment.
• Familiarity with databases and efficient data handling techniques.
• Strong problem-solving and analytical skills.

Preferred Qualifications (Nice to Have)

• Experience in LLM applications and fine-tuning models.
• Additional certifications in AI/ML.
• Prior experience working with large-scale datasets and distributed computing.

Benefits of Joining Us

• Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
• Flexible work timing, leaves for life events, work-from-home options.
• Free health insurance.
• Office facility with a fully-equipped game zone, in-office kitchen with affordable lunch service, and free snacks.
• Sponsorship for certifications/events and library service.