Machine Learning Engineer - Python

Description :

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.