Machine Learning Engineer / Lead (contractual)

Engagement Type: Contractual (Immediate Joiners Preferred)

Location: Noida / Gurgaon / Indore / Bangalore / Pune / Remote (Hybrid model for on-site locations)

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.

• 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.
  

• Strong programming expertise in Python.
• 310 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

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  technical architecture, model management, and operational best practices.
  

• 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.
  

• 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.