This position is posted by Jobgether on behalf of Zenarate. We are currently looking for an AI Engineer in India.
This role offers the opportunity to design and implement cutting-edge AI solutions across multiple domains, helping to solve complex business challenges. The AI Engineer will collaborate closely with cross-functional teams to understand requirements, identify opportunities for AI integration, and develop innovative solutions using machine learning, deep learning, natural language processing, and computer vision. The position involves building scalable AI systems, optimizing model performance, and ensuring robust real-time data processing. The ideal candidate thrives in a fast-paced, growth-focused environment, combining strong technical expertise with creativity, problem-solving, and excellent communication skills. Your work will have a direct impact on product innovation and customer satisfaction while contributing to a forward-looking AI-driven business strategy.
Accountabilities
- Collaborate with stakeholders to understand business objectives and AI solution requirements
- Research, design, and develop AI algorithms and models to solve specific business challenges
- Implement machine learning, deep learning, NLP, and computer vision techniques to analyze large datasets and extract actionable insights
- Build scalable, robust AI systems capable of real-time data processing and analysis
- Optimize AI models for accuracy, performance, and computational efficiency
- Develop and maintain data pipelines and workflows for model training and inference
- Evaluate and benchmark AI algorithms and frameworks to determine the best approaches for various use cases
- Integrate AI components into existing systems in collaboration with software engineering teams
- Conduct thorough testing and validation of AI models to ensure reliability, robustness, and generalization
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field
- 4-6 years of professional experience developing AI solutions with a strong focus on machine learning, deep learning, and NLP
- Proficiency in programming languages such as Python, Java, or C++, with experience using AI libraries/frameworks like TensorFlow, PyTorch, or scikit-learn
- Solid understanding of data structures, algorithms, and statistical modeling techniques
- Familiarity with large language models (LLMs), prompt engineering, and LLM integrations is a plus
- Experience with prototyping tools such as Streamlit or Gradio is desirable
- Knowledge of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, GCP) is advantageous
- Strong problem-solving skills with a creative and innovative mindset
- Excellent communication skills to collaborate with cross-functional teams and present technical concepts to non-technical stakeholders
Benefits
- Competitive salary package with growth potential as experience increases
- Comprehensive benefits including health insurance, team-building events, and outdoor activities
- Casual and collaborative workplace that values employee ideas
- Mentorship from experienced engineers with proven track records in large enterprises and startups
- Flexible work arrangements and supportive environment for professional growth
- Opportunity to contribute to a high-growth, profitable SaaS company with global reach
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!
