Gen AI Developer
- Synechron
- 5 - 10 years
- Bengaluru
- 14 days ago
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Job Description
Job Summary
Synechron is seeking an experienced and innovative Gen AI Developer to lead the design, development, and deployment of generative AI solutions. This role involves leveraging state-of-the-art AI models and frameworks to build scalable, secure, and impactful applications that enhance business processes and customer engagement. You will collaborate with cross-disciplinary teams to integrate AI technology seamlessly into existing systems, ensuring high standards of performance, security, and ethical AI practices. Your expertise will drive the organizations AI-driven transformation and ensure the delivery of cutting-edge solutions.
Software Requirements
Required Software Skills:
- Python (with libraries such as TensorFlow, PyTorch, Hugging Face Transformers)
- Experience with large language models (LLMs) like GPT, BERT, T5, etc.
- Knowledge of cloud platforms for AI services including AWS, Azure, or GCP
- Frameworks for model training and inference (TensorFlow, PyTorch)
- Version control (Git)
- CI/CD tools (Jenkins, GitLab CI, Azure DevOps)
Preferred Software Skills:
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Experience with MLOps tools (MLflow, Kubeflow)
- Familiarity with NLP libraries (SpaCy, NLTK) and multimodal models
- Knowledge of data engineering tools (Apache Spark, Kafka)
Overall Responsibilities
- Design, develop, and fine-tune large-scale generative AI models and solutions tailored to diverse business use cases.
- Collaborate with data scientists, engineers, and product teams to define requirements, develop prototypes, and implement production-grade AI systems.
- Optimize models for efficiency, scalability, and accuracy while maintaining ethical AI standards.
- Incorporate AI integrations seamlessly into applications, APIs, or backend systems, ensuring security and compliance.
- Conduct model evaluations, troubleshoot technical issues, and monitor ongoing model performance.
- Stay updated with the latest research, tools, and trends in generative AI and advise on adoption strategies.
- Document technical approaches, model architectures, and best practices for knowledge sharing.
Performance outcomes:
- Deployment of effective, reliable, and high-performing AI models that deliver measurable business value.
- Reduced deployment time and improved model accuracy through effective optimization.
- Successful integration of AI solutions with existing enterprise systems while ensuring compliance.
- Demonstrated innovation with continual improvements based on emerging AI research.
Technical Skills (By Category)
Programming Languages
- Required: Python, (optional but preferred: Java, C++)
- Preferred: Python 3.7+ with deep learning frameworks (TensorFlow, PyTorch)
Databases / Data Management
- SQL (MySQL, PostgreSQL)
- NoSQL (MongoDB, Elasticsearch) (preferred)
- Experience with data lakes (e.g., AWS S3, GCS) is advantageous
Cloud Technologies
- AWS, Azure, or GCP cloud platforms for model deployment, data storage, and scalable compute resources
Frameworks & Libraries
- TensorFlow, PyTorch
- Hugging Face Transformers, NLP libraries (SpaCy, NLTK)
- MLOps tools, containerization platforms (Docker, Kubernetes)
Development Tools & Methodologies
- Git, CI/CD pipelines (Jenkins, Azure DevOps, GitLab CI)
- Agile methodologies (Scrum/Kanban)
- Model validation, testing, and monitoring frameworks
Security & Ethical AI
- Knowledge of model interpretability, bias detection, and compliance standards (GDPR, CCPA)
Experience Requirements
- At least 5 years of professional hands-on experience in AI and software development, with a focus on generative models.
- Proven success deploying large-scale AI/machine learning models in production environments.
- Experience working with cloud-based AI solutions and MLOps workflows.
- Demonstrated ability to translate complex data into actionable AI solutions.
Day-to-Day Activities
- Develop, train, and optimize generative models for language, image, or multi-modal outputs.
- Collaborate with cross-functional teams to develop use cases, technical specifications, and deployment plans.
- Build and maintain API integrations for AI models leveraging REST, gRPC, or other protocols.
- Monitor model performance, troubleshoot issues, and implement iterative improvements.
- Conduct research sessions on emerging techniques and incorporate innovations into solutions.
- Write technical documentation, prepare reports, and share best practices across teams.
- Contribute to setting standards for AI model governance, security, and deployment procedures.
Qualifications
- Masters or PhD degree in Computer Science, Data Science, AI, or related fields.
- Certifications in AI/ML (e.g., TensorFlow, AWS Certified Machine Learning) are a plus.
- Experience with large language models, multimodal AI, or conversational AI is highly desirable.
- Proven record of deploying AI solutions at scale, aligned with ethical and business standards.
- Ongoing commitment to learning, innovation, and ethical AI practices.
Professional Competencies
- Critical thinking and advanced problem-solving abilities.
- Strong communication skills for technical and non-technical audiences.
- Leadership qualities to mentor junior team members and influence stakeholders.
- Ability to adapt rapidly to new research, frameworks, and industry trends.
- Creativity and curiosity for pushing AI boundaries while maintaining ethical standards.
- Effective time management and strategic planning skills.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: SynechronLocation(s): Bengaluru
Keyskills: Gen AI kubernetes python nltk machine learning learning and development nosql sql docker deep learning tensorflow java git postgresql data science spark kanban jenkins pytorch scrum mysql gitlab agile mongodb
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