ML Engineer

ML Engineer

Exp: 7+ yrs

Work Location: Hyderabad

Job Description

Tools and Languages: Python, C, Git, Elasticsearch, Docker, Java

Frameworks: TensorFlow, Scikit-Learn, Django, FastAPI, Stremalit, BeautifulSoup

Databases: SQL, Postgres

Cloud Platforms: Amazon Web services (AWS), VertexAI

Data Science: GenAI, Prompt Engineering, RAG, GPT, LangChain, Gemini, Gemma, Machine Learning, Deep Learning, NLP

Job Requirements

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Use the latest advances in NLP, data science and machine leaning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate product management and other team members
• Be part of a fast pace, fun focused, agile team

Work Experience

• 7+ years of industry experience
• PhD/MS/BTech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experiences building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

About Client:

Its a product engineering company focussed on Human & AI collaboration like AR/VR/MR. They leverage on AI and turnkey solutions to reengineer the existing products stay relevant also developing new age products. They have expertise in RPA, ML, Deep Learning, GenAI, Low code no code applications and CloudOps.

Apart from this they also have service offerings in Oracle, SAP, Salesforce and ServiceNow.

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