AI/ML Engineer

AI/ML Engineer

Experience: 3 - 6 yrs

Location: Coimbatore

Education: Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or a related field.

Immediate or 30 days notice period candidates are highly prepared.

mail: manikandan.v@cognitica.ai

Job Description: ML/AI Engineer (Computer Vision & LLM)

We are seeking a highly skilled and motivated to join our AI team. As a key member, you will play a pivotal role in the development and implementation of cutting-edge solutions across computer vision and large language models (LLMs) for diverse applications.

Your expertise will drive innovation in image/video analysis, object detection, facial recognition, and LLM-based solutions like Vector RAG, CoT, and ReAct (Agentic) workflows.

Responsibilities

Computer Vision:

* Develop and implement computer vision algorithms and models to address complex challenges in image and video analysis.

* Utilize libraries like OpenCV, Dlib, and frameworks like TensorFlow, Keras, and PyTorch.

Implement state-of-the-art algorithms, including YOLO (version 5+), Faster R-CNN, CNN, SORT, Deep-SORT, and Mask R-CNN.

* Work on facial feature extraction and optimization for real-world applications.

Large Language Models (LLMs):

* Design and implement Vector RAG pipelines, focusing on Chain-of-Thought (CoT) and ReAct (Agentic) methods.

* Utilize and fine-tune LLMs like OpenAI GPT, Gemini, Claude, or similar models.

* Develop and test prompt engineering strategies to maximize model performance.

* Work with libraries such as Transformers, Hugging Face, and LangChain to build scalable solutions.

* Implement chunking techniques, manage embeddings, and ensure seamless integration with vector databases.

General AI/ML Responsibilities:

* Collaborate with cross-functional teams to define requirements and deliver robust solutions.

* Optimize and deploy AI models on cloud platforms like AWS, GCP, or Azure.

Requirements

Core Skills:

* Expertise in computer vision algorithms and libraries such as OpenCV, Dlib, and TensorFlow/Keras/PyTorch.

* Proficiency with algorithms like YOLO (v5+), Faster R-CNN, Mask R-CNN, and DeepSORT.

* Hands-on experience with LLM models like OpenAI GPT, Claude, Gemini, or similar.

* Knowledge of fine-tuning, embeddings, and chunking techniques for large datasets.

* Familiarity with vector databases such as Pinecone, Milvus, or Weaviate.

* Strong skills in Python and related libraries (NumPy, Pandas, Matplotlib, Scikit-learn, Seaborn).

Preferred Skills:

* Experience with LangChain and Hugging Face Transformers.

* Familiarity with DevOps practices and CI/CD workflows for AI/ML deployments.

* Knowledge of optimization techniques for inference, including quantization and pruning.

* Exposure to Reinforcement Learning, edge computing, and GANs.

Job Types: Full-time, Permanent

Pay: ₹300,000.00 - ₹1,200,000.00 per year

Benefits:

• Paid sick time
• Provident Fund

Work Location: In person