Quantiphi
Location
Delhi | India
Job description
About QuantiphiQuantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design.Role: Senior Machine Learning Engineer(NLP)Experience Level: 3 to 6 YearsWork location: Mumbai/BangaloreBasic Responsibilities:Work on creating high performance and scalable solution for different problemsDevelop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impactAbility to envision new technologies and turn them into innovative products.Remain knowledgeable about current technology and carry out research to identify new trends that can be used to achieve maximum resultsCarry out other technical related duties that may be required. Be abreast of the best coding and architecting practicesSkills Required:Bachelor’s/Master’s in Computer Science/Electrical Engineering with focus on AI/MLExperience with submitting papers to machine learning conferences (e.G. NeurIPS, ICLR, ICML, etc.)Should have at least 3 years of experience with a minimum of 2+ years in the design and development of AI/ML-based systems.Knowledge of statistical modeling and popular machine learning models.Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, Tensorflow, Pytorch is a mustShould possess knowledge of at least one cloud platform (GCP, Azure, or AWS) and machine learning services offered by them.Working knowledge of Recommender systems is a mustConceptual and code level understanding of Computer Vision, Object detection(Faster RCNN, YOLO, SSD, etc), Image similarity is good to haveNLP: Vector Space modeling in NLP, LSTMs, Sequence modeling, Attention modeling, BERT, Large Language models is a must. Knowledge on using the above-mentioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis is a mustExperience in the design and development of continuous delivery and automation pipelines (MLOps) in the cloud is good to haveAbility to use analytical thinking and business understanding to perform an insightful, actionable quantitative and qualitative analysis of the businessExperience in working in an Agile environmentStrong verbal and written communication skills.
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