ML - Senior Business Analyst

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a Machine Learning Engineer you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions with the models to achieve predefined outcomes

Job Location

Roles & Responsibilities

• Engage with clients to understand current and future business goals and translate business problems into high level solution approach
• Work hands-on on building the model deployment and monitoring pipelines based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs
• Effectively communicate the approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies
• Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint. Good understanding of OOP & Data Structures concepts. Proficient in Shell Scripting and automation tools

Qualification & Experience

• BE/BTech/MTech (Specialization/courses in ML/DS)
• 2-4 years of hands-on experience building the end-to-end design, development, and deployment of predictive modelling solutions. 3+ years of experience in Python/R, SQL. 
• 3+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting. 
• 2+ hands on work experience in DevOp. Exposure on cloud technologies like Azure, AWS or GCP. Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib). 
• Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc. Experience with one or more Container-ecosystem (Docker, Kubernetes).