Machine Learning Engineer
Skills
About This Role
Purpose
- Seeking a highly proficient and innovative Machine Learning engineer to help design and
- implement a cutting-edge AI platform through Machine Learning and software development
- techniques.
- As a Scientist - Machine Learning, you will focus on designing, implementing, and maintaining
- various Machine Learning, Deep Learning and Reinforcement Learning algorithms.
- You will
- work with a multidisciplinary team of smart people, including Product Managers and Software
- Developers, to advance a state-of-the-art AI platform that can be applied to domains like
- Computer Vision, Natural Language Processing (NLP) and Generative AI.
- Qualification and Skills
- 5+ years of progressive experience in Software Engineering with a strong focus on AI and
- Machine Learning algorithm development.
- Proven track of programming in Python/Java/C++
- Strong knowledge of data structures and algorithms
- Experience with classical computer vision techniques using OpenCV library
- Strong experience in debugging and tuning applications/ML pipelines for production
- Experience with scikit-learn library (clustering, dimensionality reduction, classification, regression)
- Experience with deep learning frameworks (PyTorch, Tensorflow, Keras) for training and inference on the tasks like:
- o NLP (semantic search, topic classification, sentiment analysis, translation)
- o Image (object detection and recognition)
- o Video (objects tracking, anomaly detection)
- o Audio (speaker recognition, speech to text)
- o Time Series (anomaly detection)
- Experience with embedding and zero-shot learning, vector search libraries like FAISS,
- ScaNN
- Production experience deploying, configuring, and monitoring ML pipelines
- Experience working with Airflow for building ML pipelines
- Strong analytical skills and ability to transform complex problems into clear, concise, and
- actionable solutions.
- Excellent communication skills, adept at collaborating within multidisciplinary teams and
- conveying technical concepts effectively
- Preferable: Masters or Ph.D. degree focused on ML
Responsibilities
- Take full ownership of end-to-end Machine Learning projects, from conceptualization to deployment.
- Lead the design, development, and optimization of Machine Learning, Deep Learning, and
- Reinforcement Learning solutions for complex problem-solving in domains such as Computer Vision.
- Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts.
- Fine-tune and optimize large language models (LLM’s) for specific use cases.
- You develop algorithms in key areas in Machine Learning.
- You are a team player working closely with other colleagues while maintaining a clear vision of the value of our diverse offerings.
- You lead the path of value-driven AI features that are innovative and deployable to real customers.
- Conduct research and stay abreast of the latest advancements in machine learning, NLP, and Generative AI to drive innovation and maintain competitive advantage
Additional Attributes for Success
- You transform ambiguity into clarity.
- You enjoy collaborating in a multicultural and diverse environment that expands to include
- various geographic locations and spans numerous cultures.
- You have stellar communication skills, effectively expressing yourself. You convey and
- receive information in a clear, credible, and consistent manner.
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