Job Description : - 6–10 years of experience in AI/ML/Deep Learning model development
- 2-3 years Hands-on experience with LLMs, NLP, or speech/voice AI systems
- 3-5 years of experience deploying AI solutions in production environments
Primary (Must have skills)* - To be Screened by TA Team - 5+ years of experience in Python, PyTorch, TensorFlow, or similar frameworks
- 3-5 years of experience designing, training, and fine-tuning large language models or AI models
- 5 years of experience in cloud AI platforms (AWS Sagemaker, Azure ML, GCP AI)
- 2-3 years of experience Familiarity with model evaluation metrics, bias detection, and optimization
- 5 years of experience in integrating AI models into applications via APIs or pipelines
Job Description of Role* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity) Key technical skills :
- Design, develop, and deploy advanced AI models to meet business requirements
- Collaborate with data engineers, LLM Ops, and software teams for end-to-end solutions
- Evaluate model performance, fine-tune, and ensure scalability and reliabilityResearch emerging AI/ML technologies and propose innovative solutions.
- Mentor junior AI engineers and review code/models for best practices
Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)
Communication Skills:
- Clearly explain AI concepts and model behavior to technical and non-technical stakeholders
- Present complex model results in a concise and actionable manner
Interpersonal Skills:
- Collaborate effectively with cross-functional teams
- Provide constructive feedback and mentor junior team members
Problem-Solving and Analytical Thinking:
- Identify bottlenecks in model performance and propose solutions
- Troubleshoot deployment or integration challenges proactively
- Analyze data patterns and model outputs to derive insights
- Apply structured thinking to optimize AI workflows and pipelines
Task/ Work Updates
- Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
- Provides regular updates, proactive and due diligent to carry out responsibilities
Expected Outcome
Secondary Skills to be planned Post Hiring - Training Plan
- Advanced LLM techniques, prompt engineering, and fine-tuning strategies
- AI ethics, fairness, and responsible AI deployment
- Continuous learning on emerging AI frameworks and architectures
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.