Data Engineer

4 weeks ago

delhi, 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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