Job Summary
Synechron is seeking a skilled AI/ML Engineer to develop, deploy, and maintain scalable machine learning models that enable data-driven insights and innovative business solutions. In this role, you will work closely with data scientists, software engineers, and product teams to deliver end-to-end AI applications within a cloud ecosystem. Your expertise will support our strategic initiatives in automation, predictive analytics, and intelligent system integration by creating robust, efficient, and scalable AI/ML solutions that add measurable value to our clients and internal operations.
Software Requirements
Required Skills:
Strong proficiency in Python (version 3.7+), with experience in developing, training, and deploying machine learning models
Basic familiarity with TensorFlow or PyTorch for model development and training
Data manipulation libraries: Pandas, NumPy
Version control systems: Git
Experience utilizing cloud AI/ML services (AWS, Azure, GCP) for training, tuning, and deploying models
REST API development for model integration into applications
Model deployment and containerization experience with Docker
Working knowledge of cloud deployment practices, security, and scalability
Preferred Skills:
Experience with cloud-specific ML platforms such as AWS SageMaker, Azure AI, or GCP Vertex AI
Familiarity with NLP frameworks and techniques, including transformers (e.g., Hugging Face) and spaCy
Additional Python libraries related to deep learning and NLP (e.g., transformers)
Overall Responsibilities
Design, develop, validate, and optimize machine learning models tailored for predictive analytics, automation, and classification tasks
Prepare and preprocess large datasets, performing feature engineering to maximize model effectiveness
Deploy models into production environments, ensuring seamless integration via REST APIs and enterprise applications
Collaborate with data scientists, software engineers, and stakeholders to define requirements and deliver scalable AI solutions
Utilize cloud services for model training, hyperparameter tuning, and deployment, maintaining high performance and security standards
Document workflows, maintain version control, and ensure reproducibility of experiments for ongoing improvements
Monitor model performance, troubleshoot issues promptly, and refine models based on real-world data feedback
Stay current with emerging AI/ML technologies, incorporating innovative techniques to enhance solutions and workflows
Technical Skills (By Category)
Programming Languages:
Required: Python (3.7+) with experience in ML libraries
Preferred: Additional experience in R, Scala or other relevant languages
Data Management & Processing:
Pandas, NumPy for data transformation and feature engineering
Understanding of large data storage solutions and data pipeline integration
Cloud Technologies:
AWS, Azure, or GCP for training, deployment, and management of models
Familiarity with cloud storage, compute resources, and security best practices
Frameworks & Libraries:
TensorFlow or PyTorch (basic proficiency)
NLP: Hugging Face Transformers, spaCy (preferred)
Development & Deployment Tools:
Git for version control
Docker for containerization
CI/CD pipelines using Jenkins, Azure DevOps, or similar tools
Security & Compliance:
Basic understanding of data privacy, security protocols, and relevant regulations
Experience Requirements
3 to 12 years of professional experience in AI/ML model development, training, and deployment
Proven track record of operationalizing machine learning models in production environments
Experience applying AI/ML techniques for predictive analytics, NLP, or automation projects
Exposure to cloud-based AI solutions, scalable infrastructure, and container orchestration is highly desirable
Industry experience in finance, healthcare, technology, or related sectors is a plus
Equivalent practical experience or project-based work demonstrating relevant skills is acceptable
Day-to-Day Activities
Collaborate with data scientists and software teams to translate business needs into machine learning models and pipelines
Develop, train, and tune models, optimizing hyperparameters for accuracy and efficiency
Prepare datasets through cleaning, feature engineering, and transformation processes
Deploy models into cloud environments, creating REST APIs for integration with applications
Monitor deployed models for performance and drift, troubleshooting issues proactively
Refine models based on feedback and changing data patterns
Document processes, workflows, and deployment procedures to ensure reproducibility
Engage in research on emerging AI/ML techniques and incorporate applicable innovations into projects
Participate in agile ceremonies, code reviews, and knowledge sharing activities
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field; higher qualifications or certifications are advantageous
Certifications such as AWS Certified Machine Learning – Specialty, GCP Professional ML Engineer, or equivalent are preferred
Proven experience with AI/ML model deployment in enterprise or production environments
Commitment to continuous learning, staying updated with evolving AI/ML methods and cloud technologies
Professional Competencies
Strong analytical and problem-solving skills, with attention to detail in model development and performance evaluation
Excellent communication skills to articulate complex technical concepts to diverse audiences
Ability to collaborate effectively with multidisciplinary teams and stakeholders
Self-driven learner committed to continuous professional growth and technology adoption
Results-oriented focus on delivering scalable, reliable, and impactful AI solutions
Adaptability to evolving project requirements and emerging AI/ML trends
SYNECHRON’S 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 applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Candidate Application Notice
