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Status Neo - AI/ML Engineer - Python Job Opening In Gurugram – Now Hiring Status Neo


Job description

<p><p>We are seeking a highly skilled AI/ML Engineer with strong expertise in Python programming, API development, and real-time deployment of ML models.

The ideal candidate should have experience in designing, building, and optimizing machine learning pipelines and integrating models into production environments.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and optimize machine learning models using Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).<br/><br/></p><p>- Implement end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and deployment.<br/><br/></p><p>- Build and manage RESTful APIs / gRPC services to expose ML models for real-time inference.<br/><br/></p><p>- Deploy and scale models in production environments (Docker, Kubernetes, cloud platforms such as AWS, GCP, or Azure).<br/><br/></p><p>- Ensure high availability, low-latency, and fault-tolerant real-time ML systems.<br/><br/></p><p>- Collaborate with data engineers and software teams to integrate ML solutions into existing applications.<br/><br/></p><p>- Conduct performance monitoring, optimization, and retraining of models as needed.<br/><br/></p><p>- Apply MLOps best practices for CI/CD pipelines, model versioning, and automated deployment workflows.<br/><br/></p><p>- Write clean, efficient, and production-grade Python code following software engineering best practices.<br/><br/><p><b>Required Skills & Experience : </b></p><p><br/></p><p>- 4+ years of hands-on experience in Python programming (advanced knowledge of data structures, OOP, multiprocessing, async programming).</p><p><br/></p>- Strong expertise in machine learning algorithms, model training, and evaluation techniques.<br/><br/></p><p>- Experience with API development (FastAPI, Flask, Django, or similar).<br/><br/></p><p>- Proven experience in real-time model deployment and serving (TensorFlow Serving, TorchServe, MLflow, or custom </p><p>solutions).<br/><br/></p><p>- Solid understanding of cloud-native deployments (AWS Sagemaker, GCP Vertex AI, Azure ML) and containerization (Docker, Kubernetes).<br/><br/></p><p>- Knowledge of streaming data frameworks (Kafka, Spark Streaming, Flink) is a plus.<br/><br/></p><p>- Familiarity with CI/CD pipelines for ML (GitHub Actions, Jenkins, or similar).<br/><br/></p><p>- Strong grasp of data engineering concepts (data ingestion, transformation, and storage).<br/><br/></p><p>- Experience in monitoring & logging (Prometheus, Grafana, ELK, or to Have : </b></p><p><br/></p><p>- Experience with Generative AI (LLMs, diffusion models, transformers).</p><p><br/></p>- Exposure to GPU optimization and distributed training.<br/><br/></p><p>- Familiarity with feature stores and advanced MLOps frameworks (Kubeflow, TFX, MLflow).</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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The average salary range for a varies, but the pay scale is rated "Standard" in Gurugram. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Status Neo AI/ML Engineer Python typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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