Job Description We are seeking a highly experienced Machine Learning Engineer to design, develop, and deploy scalable AI/ML solutions in enterprise environments. The role focuses on building intelligent systems leveraging Generative AI, predictive analytics, and large-scale telemetry data to drive operational insights and automation. This role will be explicitly on assignment for 12 months with the intention that 70% of the consultants time is on developing and architecting solutions and then remaining 30% will be committed to knowledge share, upskilling and transitioning knowledge before ending assignment.
Key Responsibilities
AI/ML Model Development
- Design and implement machine learning and deep learning models for:
○ Anomaly detection
○ Predictive analytics
○ Classification and clustering
- Develop and optimize model training pipelines for large-scale datasets
- Perform feature engineering, model evaluation, and hyperparameter tuning
Generative AI & NLP
- Build and deploy GenAI solutions using:
○ OpenAI APIs
○ LangChain frameworks
- Develop capabilities such as:
○ Text summarization
○ Conversational AI
○ Context-aware question answering (RAG architectures)
- Implement NLP pipelines for unstructured data processing Data Engineering & Pipelines
- Design scalable pipelines for processing high-volume telemetry data (metrics, logs, events, traces)
- Work with streaming and batch processing systems (Kafka, Spark, etc.)
- Ensure data quality, transformation, and enrichment
Model Deployment & MLOps
- Deploy ML models using containerization (Docker) and orchestration (Kubernetes)
- Implement CI/CD pipelines for ML lifecycle management




- Monitor model performance and ensure continuous improvement
Integration & APIs
- Develop and expose ML services via REST APIs (FastAPI, Flask)
- Integrate AI services with enterprise systems and applications Skills and Requirements - 10+ years in Machine Learning / Data Science roles in enterprise environments
Technical Expertise
- Programming: Python (mandatory)
- ML/DL: TensorFlow, PyTorch, Scikit-learn
- GenAI: OpenAI, LangChain, RAG pipelines
- Data Engineering: Spark, Kafka, ETL frameworks
- APIs: FastAPI, Flask
- Databases: SQL, PostgreSQL, NoSQL - Experience with probabilistic modelling and statistical analysis
- Knowledge of graph-based modelling techniques
- Exposure to real-time analytics systems
Soft Skills
- Strong analytical and problem-solving ability
- Ability to work with large, complex datasets
- Effective communication of technical insights We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment chance/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

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