Data Engineer

3 weeks ago


india TekWissen India Full time

Role: Data Engineer - AI- ML Scientist

Location: Pune, India

Experience: 6+ Years


Position Description:

This role is located in Pune Maharashtra / Chennai, Tamil Nadu. In this role, you'll make an impact in the following ways:

• Play a key strategic role in terms of selecting modeling strategies and related roadmaps for development, testing and deployment of AI/machine learning models.

• Layout and execution of the AI projects and implementations (ML model development lifecycle) including hypothesis generation and testing, solutioning, model building, deployment, and retraining.

• Prepare the plan and oversee the implementation deployment and hosting of ML models along with implementation of continuous delivery/deployment strategies (A/B testing, canary testing etc) • Use and support the implementation of the firm's AI infrastructure used for model training/retraining and model deployment in production.

• Prepare the plan and ensure compliance with model risk management and governance processes • LeadIAI projects of high business impact and collectively high impact.. Collaborate/communicate effectively with customers, partners and stakeholders representing different product lines and provide training and mentor the team

• Support recruiting, development, engagement, and retention of data scientists, machine learning engineers and data engineers.

To be successful in this role, we're seeking the following:

• Understands data very well and has working knowledge of various Big Data technologies and their use in AI/ML

• Have expertise in statistics and probability, and the evaluation of data use, algorithms and models by external organizations.

• Has built machine learning models including data preparation techniques, feature engineering techniques, and related ML algorithms to solve real world problems

• Has a solid understanding and working knowledge of cloud AI/ML services on GCP, Azure, and AWS.

• Experience of coding languages such as python, R, C, Java and AI/ML frameworks and packages such as Vertica AI, Jupyter notebook, keras, pytorch, tensorflow, torch, and others. Strong knowledge of Oracle, Mongo DB

• Is well versed in Data Science development lifecycle, project implementation methodologies such as agile etc. and stays current with the AI research areas and current trends

Knowledge of financial domain and investment banking is an advantage.


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