[Immediate Start] Technology Specialist

2 days ago

Pune, India McDermott Full time

Job Description

Essential Qualifications and Education:

- 2-5 yrs in AI and ML development, with a proven track record of successful projects
- Bachelors or master s degree in computer science, Engineering, AI, Mathematics, or a related field
- Familiar with the content and application of standards, codes and guidelines as applicable. Knowledge of many basic design techniques and analysis methods.
- Deep understanding of data structures, algorithms, and statistical methods or front- end development
- Strong proficiency in programming languages such as Python, Java, or other relevant programming languages
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas)
- Experience with cloud platforms like Azure ML is preferred
- Published research or contributions to open-source projects in the AI/ML field is preferred
- Advanced knowledge of specialized areas like deep learning, natural language processing, or computer vision
- Strong analytical and problem-solving skills
- Excellent communication and teamwork abilities
- Familiar with the content and application of standards, codes and guidelines as applicable
- Knowledge of many basic design techniques and analysis methods

#LI-NS1

#dice

Key Tasks and Responsibilities:

- Perform product development from idea to prototype and further deployment.
- Apply knowledge and skills to complete varied assignments.
- Prioritize and organize own work to meet deadlines.
- Focus on completing work within schedule and budget.
- Clearly communicate and explain information in straightforward engineering activities.
- Lead the development and implementation of complex machine learning models, ensuring they meet project requirements and performance metrics
- Oversee data preprocessing, cleansing, and management. Develop strategies for data acquisition and utilization to enhance model performance
- Optimize existing AI/ML models for better efficiency and accuracy. Implement advanced algorithms and techniques to improve system performance
- Work closely with various teams, including data scientists, domain engineers, and product managers, to integrate AI/ML solutions into products and services. Act as a liaison between technical and non-technical teams to facilitate effective communication
- Provide guidance and mentorship to junior team members. Lead project teams as required, ensuring timely delivery and quality of work
- Engage in ongoing research to stay ahead of the latest trends and developments in AI and ML. Propose and lead innovative projects or experiments
- Prepare comprehensive documentation and reports on AI/ML projects, including development processes, performance metrics, and deployment strategies
- Assist in the Integration of models into systems:
- Collaborate with software engineers and IT teams to seamlessly incorporate machine learning models into production environments.
- Design and develop APIs or interfaces for model integration, ensuring compatibility with existing systems
- Optimize model performance for real-time or batch processing as required by the application
- Develop automated workflows for model training, testing, and deployment to streamline the integration proce

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