AI ENGINEER

1 week ago

Technopark Thiruvananthapuram Kerala, India REIZEND PRIVATE LIMITED Full time ₹ 5,00,000 - ₹ 11,00,000 per year

We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments.

Key Responsibilities

  • AI Model Development and Optimization:
  • Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch.
  • Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications.
  • Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks.
  • Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives.,
  • Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures.
  • Natural Language Processing (NLP):
  • Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems.
  • Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks.
  • AI Model Deployment and Frameworks:
  • Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments.
  • Create robust data pipelines for training, testing, and inference workflows.
  • Implement CI/CD pipelines for seamless integration and deployment of AI solutions.
  • Production Environment Management:
  • Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability.
  • Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift.
  • Data Engineering and Pipelines:
  • Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets.
  • Integrate with cloud-based data storage and retrieval systems for seamless AI workflows.
  • Performance Monitoring and Optimization:
  • Optimize AI model performance through hyperparameter tuning and algorithmic improvements.
  • Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.)
  • Solution Design and Architecture:
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions.
  • Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints.
  • Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases.
  • Stakeholder Engagement:
  • Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines.

Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs.

Experience: 2 - 5 years of experience

Salary : 5-11 LPA

Job Types: Full-time, Permanent

Pay: ₹500, ₹1,100,000.00 per year

Work Location: In person

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