AI/ML Engineer
AI/ML Engineer
Posted on :
09-08-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
09-08-2025
Job Description
About the job
Where AI Starts for Companies That Cant Afford to Fail
Position Description
We are seeking a talented AI/ML Engineer to join our AI Services Consulting team. This role requires a seasoned professional with 6-8 years of hands-on machine learning and AI development experience who can design build and deploy enterprise-grade AI solutions. The ideal candidate will translate business requirements into scalable AI/ML systems lead technical implementation across diverse client environments and drive innovation in our AI service offerings.
Key Requirements
- Design & Develop AI/ML Solutions
- Architect and build end-to-end machine learning pipelines from data ingestion to model deployment
- Develop custom AI models including supervised unsupervised and deep learning algorithms
- Implement natural language processing computer vision and predictive analytics solutions
- Design scalable MLOps frameworks for model versioning monitoring and automated retraining
- Optimize model performance for production environments with focus on latency and accuracy
- Lead Technical Implementation & Integration
- Collaborate with product managers business analysts to translate functional requirements into technical specifications
- Develop capabilities to integrate AI/ML solutions with existing enterprise systems (CRM databases APIs etc.)
- Develop RESTful APIs and microservices for AI model serving and consumption
- Implement real-time and batch inference systems using cloud platforms (Azure AWS GCP)
- Ensure security compliance and data governance standards in AI implementations
- Drive Data Engineering & Model Operations
- Build robust data preprocessing and feature engineering pipelines
- Implement automated model training validation and deployment workflows
- Design monitoring systems for model drift detection and performance tracking
- Establish CI/CD pipelines for machine learning model lifecycle management
- Optimize data storage and retrieval systems for large-scale AI workloads
- Provide Technical Leadership & Innovation
- Mentor junior engineers and guide technical decision-making across projects
- Research and evaluate emerging AI technologies and frameworks
- Lead proof-of-concept development for new AI service offerings
- Contribute to technical architecture reviews and solution design sessions
- Support pre-sales activities with technical expertise and solution demonstrations
Qualifications
- Technical Expertise & Experience
- 6-8 years of hands-on experience in machine learning and AI development
- Strong Proficiency in Python with deep knowledge of ML frameworks such as TensorFlow PyTorch scikit-learn
- Strong experience with cloud ML platforms (Azure ML AWS SageMaker Google AI Platform)
- Expertise in data processing tools (Spark Pandas SQL) and big data technologies
- Experience with containerization (Docker Kubernetes) and MLOps tools (MLflow Kubeflow DVC)
- AI/ML Domain Knowledge
- Deep understanding of machine learning algorithms statistics and mathematical foundations
- Experience with deep learning architectures (CNNs RNNs Transformers GANs)
- Knowledge of NLP techniques computer vision and time series forecasting
- Understanding of model explainability bias detection and ethical AI principles
- Experience with A/B testing experimentation design and statistical analysis
- Software Engineering & Architecture
- Strong software development skills with experience in agile methodologies
- Knowledge of system design patterns and distributed computing principles
- Experience with API development microservices architecture and database design
- Familiarity with DevOps practices and infrastructure as code
- Understanding of data security privacy regulations and compliance requirements
- Communication & Collaboration
- Ability to communicate complex technical concepts to non-technical stakeholders
- Experience working in cross-functional teams with business analysts and project managers
- Proven track record of delivering production-ready AI solutions in enterprise environments
- Bachelors or Masters degree in Computer Science Data Science or related field
Deliverables
- Technical Delivery Excellence
- Successfully deliver 2-3 concurrent AI/ML projects with 99% uptime in production
- Achieve model performance metrics that exceed baseline requirements by 15-20%
- Implement scalable solutions that handle 10x traffic growth without performance degradation
- Maintain code quality standards with 90% test coverage and zero critical security vulnerabilities
- Innovation & Client Impact
- Drive measurable business outcomes through AI implementations with documented ROI improvements
- Contribute to 2-3 new AI service offerings or accelerators annually
- Receive positive client feedback on technical expertise and solution quality
- Build reusable frameworks and components that reduce project delivery time by 25%
- Team Leadership & Growth
- Mentor 2-3 junior engineers with demonstrated skill development and career progression
- Establish technical best practices and standards adopted across the engineering team
Nothing in this job description restricts managements right to assign or reassign duties and responsibilities to this job at any time. This description reflects managements assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. This job description is subject to change at any time.
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Employment Type
Full-Time
Key Skills
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