Data Scientist at Synechron

About the job

Job Title: Machine Learning Engineer

Location: Pune/Bangalore

Experience: 2-5 years

Software Requirements:

• Proficiency in machine learning engineering, deep learning, and statistical ML
• Experience with API frameworks such as Django and fastapi
• Strong knowledge of solutioning using Large Language Models (LLMs)
• Familiarity with machine learning frameworks including PyTorch, TensorFlow, Keras, Langchain, OpenAI, Ollama, and other relevant frameworks
• Experience in building solutions using Convolutional Neural Networks (CNN), transformers, and transfer learning

Overall Responsibilities:

• Develop and implement machine learning solutions for complex business problems
• Collaborate with cross-functional teams to understand and address business needs through machine learning models
• Design and architect scalable and efficient ML solutions
• Provide technical expertise and guidance in the development and deployment of machine learning models
• Stay updated with the latest advancements in machine learning and deep learning technologies

Skills and Qualities:

• Strong understanding of machine learning, deep learning, and statistical ML concepts
• Proficiency in API frameworks such as Django and fastapi
• Experience in solutioning using Large Language Models (LLMs)
• Expertise in PyTorch, TensorFlow, Keras, Langchain, OpenAI, Ollama, and other relevant frameworks
• Proven ability to build solutions using CNN, transformers, and transfer learning

Experience:

• 2-5 years of hands-on experience in machine learning engineering and deep learning
• Demonstrated experience in building and deploying machine learning models in real-world scenarios
• Track record of working with API frameworks, large language models, and various machine learning frameworks

Day-to-Day Activities:

• Develop and deploy machine learning models using PyTorch, TensorFlow, and other relevant frameworks
• Collaborate with data scientists and software engineers to integrate machine learning models into production systems
• Participate in the design and implementation of scalable and efficient ML solutions
• Stay updated with the latest advancements in machine learning and deep learning technologies