Senior AI Developer

We are seeking a skilled AI Developer with a strong focus on building and integrating artificial intelligence solutions within web applications. The candidate must have hands-on experience in developing intelligent features, leveraging machine learning models, natural language processing (NLP), computer vision, or other AI technologies to enhance user experience, automate processes, and drive business value in web-based platforms.

Key Responsibilities:

• Design, develop, and deploy AI-driven features and functionalities integrated into web applications
• Design and implement AI models for web-based applications (e.g., recommendation engines, chatbots, predictive analytics).
• Preprocess and analyze large datasets to train and validate models.
• Optimize AI algorithms for performance, scalability, and accuracy.
• Collaborate with front-end and back-end developers to seamlessly integrate AI components via APIs or microservices.
• Evaluate, experiment, and select appropriate AI algorithms and tools based on project requirements.
• Monitor and maintain AI systems post-deployment to ensure reliability, accuracy, and responsiveness.
• Stay updated with the latest AI and web development trends and incorporate best practices.
• Document processes, models, and code for maintainability and knowledge sharing.
• Work closely with cross-functional teams including product managers, designers, and data engineers to deliver impactful solutions.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• Min 5 + yrs of total experience with 2+ years of experience in AI/ML development.
• 5+ years of experience in building applications using Java, Javascript and HTML
• Prior work on AI integration in web applications.
• Strong programming skills in Python (preferred), JavaScript, or Java.
• Experience with ML/DL frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with web technologies: REST APIs, HTML/CSS, JavaScript frameworks (React, Angular, etc.).
• Understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Knowledge of NLP, computer vision, or recommendation systems is a plus.
• Excellent problem-solving and communication skills.
• Proven experience as an AI Developer, Machine Learning Engineer, or similar role focused on web applications.
• Solid understanding of data structures, algorithms, and software development lifecycle.
• Ability to communicate complex AI concepts effectively to technical and non-technical stakeholders.
• Experience with MLOps and CI/CD pipelines for model deployment.
• Experience with NLP, computer vision, recommendation systems, or other specialized AI domains applied to web.
• Exposure to containerization (Docker, Kubernetes) and CI/CD pipelines.
• Background in user experience design or human-computer interaction

Benefits

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Disclaimer: -

Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic