Senior Machine Learning Engineer
4 weeks ago
Job Description : Senior Machine Learning Engineer
Position : Senior Machine Learning Engineer
Location : Bengaluru
Type : Full-time
About Us :
We are a leading AI-driven tech company, committed to pushing the boundaries of technology to deliver innovative solutions. Our team is passionate about harnessing the power of AI to solve complex problems and create products that make a difference.
Job Summary :
We are seeking a dedicated and experienced Senior Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning, natural language processing, computer vision, and speech processing. You will be responsible for leading projects, collaborating with cross-functional teams, and driving the development of cutting-edge AI solutions.
Key Responsibilities :
- Lead and manage small teams of annotators and ML engineers to deliver high-quality AI products.
- Develop and deploy machine learning models for various applications, including LLMs, RAG, NLP, computer vision, and speech processing.
- Design and implement Retrieval Augmented Generation (RAG) systems to answer user queries from documents and maintain chat context for seamless interaction.
- Fine-tune and deploy state-of-the-art language models (e.g., GPT-3.5, GPT-4, LLaMA2, Mistral-7B, Falcon) for question answering and other applications.
- Develop custom hierarchical parsers and chunking algorithms for processing image and text PDFs and Doc files.
- Implement keyphrase extraction, sentiment analysis, and classification models to provide insights from user data.
- Create and maintain automated batch processes for large-scale image segmentation and inpainting tasks.
- Collaborate with clients to understand their needs and deliver tailored AI solutions.
- Stay up-to-date with the latest advancements in machine learning and AI technologies.
Requirements :
- Master's degree in Computer Science, Machine Learning, or a related field.
- 4+ years of experience in machine learning, natural language processing, computer vision, and speech processing.
- Proficiency in Python, TensorFlow, PyTorch, and other relevant ML frameworks.
- Experience with LLMs, RAG, Langchain, Llama-index, Huggingface, and other AI tools.
- Strong skills in SQL, Shell scripting, Docker, and cloud platforms (Azure, GCP).
- Experience with image classification, segmentation, and inpainting.
- Excellent teamwork, leadership, and client-handling skills.
- Strong presentation and communication skills.
- Publications and certifications in relevant fields are a plus.
Preferred Qualifications:
- Experience working with Dialogflow and Rasa for voicebot and chatbot development.
- Experience in developing AI solutions for diverse domains such as healthcare, automotive, oil and gas, and real estate.
- Proven track record of successful project delivery and impact on business outcomes.
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