AI/ML Engineer | Python & Cloud Deployments

Synechron is seeking an AI/ML Engineer to develop, deploy, and maintain machine learning models for data-informed decisions and innovative solutions. This role involves collaborating with data scientists, software engineers, and product teams to deliver end-to-end AI applications. The engineer will support strategic initiatives in automation, predictive analytics, and intelligent system integration, providing scalable and robust AI/ML solutions.

Must Have

• Develop, deploy, and maintain machine learning models.
• Work with Python (3.7+), TensorFlow or PyTorch, Pandas, NumPy.
• Utilize Git for version control.
• Experience with cloud-based AI/ML services (AWS, Azure, GCP).
• Develop REST APIs for model integration.
• Use Docker for model deployment.
• Design, develop, validate, and optimize ML models.
• Prepare and preprocess large datasets, perform feature engineering.
• Deploy models into production environments.
• Collaborate with data scientists, engineers, and stakeholders.
• Minimum 3-12 years experience in AI/ML model development and deployment.
• Proven exposure to building and operationalizing ML solutions.
• Experience in predictive analytics, automation, or NLP projects.
• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
• Proven track record of deploying ML models in production environments.
• Strong understanding of data privacy and security standards.

Good to Have

• Cloud ML platforms (AWS SageMaker, Azure AI).
• NLP frameworks and techniques.
• Additional Python libraries for deep learning and NLP (e.g., transformers).
• Additional experience with R or Scala.
• Industry experience in finance, healthcare, or technology sectors.
• Master’s degree.
• Certification or training in machine learning or cloud AI services.

Perks & Benefits

• Flexible workplace arrangements.
• Mentoring.
• Internal mobility.
• Learning and development programs.

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 solutions. In 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 organization’s 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 3–12 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

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field; Master’s 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

S​YNECHRON’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

About Us

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

For more information on the company, please visit our website or LinkedIn community.

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Sustainability and Health Safety Commitment

At Synechron, we are committed to integrating sustainability into our business strategy, ensuring responsible growth while minimizing environmental impact. Employees play a key role in driving our sustainability initiatives, from reducing our carbon footprint to fostering ethical and sustainable business practices across global operations. All positions are required to adhere to our Sustainability and Health Safety standards, demonstrating a commitment to environmental stewardship, workplace safety, and sustainable practices.

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