AIML Engineer | Python & Cloud Deployments
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary
Synechron is seeking a skilled AI/ML Engineer to develop deploy and maintain machine learning models that drive data-informed decisions and innovative this role you will work closely with data scientists software engineers and product teams to deliver end-to-end AI applications. Your contributions will support the organizations strategic initiatives around automation predictive analytics and intelligent system integration providing value through scalable and robust AI/ML solutions.
Software Requirements
Required Software Skills:
- Python (version 3.7) with experience in developing machine learning applications
- TensorFlow or PyTorch (basic proficiency)
- Data manipulation libraries: Pandas NumPy
- Version control: Git
- Cloud-based AI/ML services (AWS Azure GCP) for training and deployment
- REST API development for model integration
- Model deployment tools and frameworks (e.g. Docker)
Preferred Software Skills:
- Cloud ML platforms (AWS SageMaker Azure AI)
- NLP frameworks and techniques
- Additional Python libraries for deep learning and NLP (e.g. transformers)
Overall Responsibilities
- Design develop validate and optimize machine learning models suited for predictive analytics and automation.
- Prepare and preprocess large datasets performing feature engineering to enhance model performance.
- Deploy models into production environments ensuring seamless integration with applications via REST APIs.
- Collaborate with data scientists software engineers and stakeholders to deliver scalable and accurate AI-driven solutions.
- Utilize cloud platforms for model training tuning and deployment ensuring performance efficiency.
- Document workflows maintain version control and reproduce experiments for ongoing model refinement.
- Stay informed of emerging AI/ML techniques and incorporate innovations into project pipelines.
Technical Skills (By Category)
Programming Languages:
- Required: Python (3.7) with experience in ML libraries
- Preferred: Additional experience with R or Scala
Databases and Data Management:
- Experience with data preprocessing tools: Pandas NumPy
- Understanding of data storage/storage options for large datasets
Cloud Technologies:
- Proficiency in AWS Azure or GCP for ML model training and deployment
- Familiarity with cloud storage compute and security practices
Frameworks and Libraries:
- TensorFlow or PyTorch (basic proficiency)
- NLP frameworks (preferred): Hugging Face Transformers spaCy
Development Tools and Methodologies:
- Version control: Git
- Containerization: Docker
- Working within Agile teams using CI/CD pipelines for model deployment
Security Protocols:
- Basic understanding of secure deployment practices and data privacy regulations
Experience Requirements
- Minimum of 312 years of experience in AI/ML model development and deployment
- Proven exposure to building and operationalizing machine learning solutions
- Experience working on predictive analytics automation or NLP projects
- Industry experience in finance healthcare or technology sectors preferred
- Equivalent practical experience or project-based work also acceptable
Day-to-Day Activities
- Collaborate with data scientists and engineers to interpret business needs into technical solutions
- Develop and prototype machine learning models tuning hyperparameters for optimal results
- Prepare datasets through cleaning transformation and feature engineering
- Integrate deployed models into applications via REST APIs
- Monitor model performance troubleshoot issues and optimize models in production
- Document processes and adhere to version control best practices
- Engage in regular team meetings project planning and code reviews
- Conduct research on emerging AI/ML techniques to identify applicable innovations
- Contribute to creating scalable maintainable and reproducible AI workflows
Qualifications
- Bachelors degree in Computer Science Data Science Engineering or related field; Masters preferred
- Certification or training in machine learning or cloud AI services is a plus
- Proven track record of deploying machine learning models in production environments
- Strong understanding of data privacy and security standards
Professional Competencies
- Strong analytical and problem-solving abilities with attention to detail
- Effective communicator capable of articulating technical concepts clearly
- Ability to work collaboratively within multidisciplinary teams
- Self-motivated learner staying updated with current AI/ML research and tools
- Results-oriented with a focus on delivering scalable and reliable solutions
- Adaptability to evolving project scopes and new technologies
- Strategic thinking for designing innovative AI/ML solutions aligned with business goals
SYNECHRONS DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.
All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
About Company
Chez Synechron, nous croyons en la puissance du numérique pour transformer les entreprises en mieux. Notre cabinet de conseil mondial combine la créativité et la technologie innovante pour offrir des solutions numériques de premier plan. Les technologies progressistes et les stratégie ... View more
