Machine Learning Engineer
2 days ago
Description :
About the Role :
Were seeking experienced Machine Learning Engineers to join our clients high-impact AI/ML projects. Youll work on designing, developing, and deploying scalable ML solutions across domains driving innovation, automation, and data-driven decision-making.
Key Responsibilities :
- Design, develop, and implement end-to-end ML pipelines including data ingestion, feature engineering, and model deployment.
- Collaborate with business, data, and product teams to deliver actionable insights and AI-driven solutions.
- Build scalable data pipelines using PySpark and integrate ML models into production environments.
- Develop and fine-tune models for forecasting, NLP, image/video analytics, and other advanced ML use cases.
- Perform exploratory data analysis, model performance evaluation, and hyperparameter tuning.
- Implement MLOps best practices for model lifecycle management, versioning, monitoring, and CI/CD automation.
- Leverage AWS services such as Sagemaker, Bedrock, and Kendra for model training and deployment.
- Encourage a culture of continuous learning, experimentation, and innovation within the team.
Required Skills & Experience :
- Strong programming expertise in Python.
- 3 to 7 years of hands-on experience in data/feature pipelines using PySpark.
- Proficiency in ML model lifecycle, from data prep to production deployment.
- Strong foundation in statistics and probability (hypothesis testing, distributions, regression, etc.).
- Working knowledge of MLOps tools and frameworks for scalable deployments.
- Exposure to AWS Cloud (Sagemaker, Bedrock, Kendra) and related services.
- Familiarity with technical architecture, model management, and operational best practices.
Good to Have :
- Experience with Generative AI and LLMs (LangChain, LlamaIndex, Foundation Model Tuning, Data Augmentation).
- Experience with Docker and Kubernetes for containerized deployments.
- Hands-on exposure to time-series modeling, forecasting, and advanced analytics.
Who Should Apply :
- Professionals passionate about solving complex problems using AI/ML.
- Engineers available for immediate or near-term joining.
- Candidates open to contractual/consulting engagements with leading enterprise clients.
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