Posted:1 day ago|
Platform:
On-site
Full Time
Location: Onsite
*Note: The selected candidate is required to relocate to Kovilpatti, Tamil Nadu for the initial three-month project training session. Post training, the candidate will be relocated to one of our onsite locations: Chennai, Hyderabad, or Pune, based on project allocation.
Job Description
The Senior AI Developer will be responsible for designing, building, training, and deploying advanced artificial intelligence and machine learning models to solve complex business challenges across industries. This role demands a strategic thinker and hands-on practitioner who can work at the intersection of data science, software engineering, and innovation. The candidate will contribute to scalable production-grade AI pipelines and mentor junior AI engineers within the Center of Excellence (CoE).
Key responsibilities:
· Design, train, and fine-tune deep learning models (NLP, CV, LLMs, GANs) for high-value applications
· Architect AI model pipelines and implement scalable inference engines in cloud-native environments
· Collaborate with data scientists, engineers, and solution architects to productionize ML prototypes
· Evaluate and integrate pre-trained models like GPT-4o, Gemini, Claude, and fine-tune based on domain needs
· Optimize algorithms for real-time performance, efficiency, and fairness
· Write modular, maintainable code and perform rigorous unit testing and validation
· Contribute to AI codebase management, CI/CD, and automated retraining infrastructure
· Research emerging AI trends and propose innovative applications aligned with business objectives
Technical Skills:
· Expert in Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers
· LLM deployment & tuning: OpenAI (GPT), Google Gemini, Claude, Falcon, Mistral
· Experience with RESTful APIs, Flask/FastAPI for AI service exposure
· Proficient in Azure Machine Learning, Databricks, MLflow, Docker, Kubernetes
· Hands-on experience with vector databases, prompt engineering, and retrieval-augmented generation (RAG)
· Knowledge of Responsible AI frameworks (bias detection, fairness, explainability)
Qualification
· Masterâs in Artificial Intelligence, Machine Learning, Data Science, or Computer Engineering
· Certifications in AI/ML (e.g., Microsoft Azure AI Engineer, Google Professional ML Engineer) preferred
· Demonstrated success in building scalable AI applications in production environments
· Publications or contributions to open-source AI/ML projects are a plus.
Job Type: Full-time
Pay: Up to âč80,000.00 per month
Location Type:
Ability to commute/relocate:
Application Question(s):
Experience:
Work Location: In person
Mani India Technologies
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