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Ai Ml Engineer

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Onsite

Ai Ml Engineer

Infoshare soft

Ai Ml Engineer

Skills

Google Cloud PlatformDeep LearningDockerPythonData SciencePyTorchTensorFlowData AnalysisMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingApache AirflowAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

23 September 2026

What they need


Job Title: AI/ML Engineer

Location: Hyderabad, India
Experience: 7+ Years
Employment Type: Full-time

About the Role

We are looking for an experienced AI/ML Lead to drive innovation, design intelligent systems, and lead a high-performing data science team. The ideal candidate will have a strong background in Artificial Intelligence, Machine Learning, and MLOps, with hands-on experience in deploying scalable AI solutions for real-world business problems.

Key Responsibilities

  • Lead and mentor a team of data scientists, ML engineers, and analysts.
  • Design and implement end-to-end AI/ML solutions, from data ingestion to model deployment.
  • Collaborate with cross-functional teams (engineering, product, analytics) to translate business challenges into technical solutions.
  • Evaluate, select, and apply the latest machine learning techniques, frameworks, and tools.
  • Ensure production-grade AI systems are robust, scalable, and maintainable using best MLOps practices.
  • Perform model monitoring, tuning, and retraining to improve accuracy and performance.
  • Stay ahead of emerging AI technologies, frameworks, and research to drive innovation.

Required Skills & Experience

  • 7+ years of total experience, with at least 5 years in AI/ML solution development and leadership.
  • Strong understanding of Machine Learning, Deep Learning, NLP, and Generative AI techniques.
  • Proficiency in Python, TensorFlow / PyTorch, Scikit-learn, OpenAI / Hugging Face, etc.
  • Expertise in data preprocessing, feature engineering, and model optimization.
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes).
  • Strong understanding of data architecture and ETL pipelines.
  • Excellent leadership, communication, and stakeholder management skills.

Preferred Qualifications

  • Masters or Ph.D. in Computer Science, Data Science, AI/ML, or a related field.
  • Experience with Large Language Models (LLMs) and Generative AI frameworks.
  • Publications or contributions to open-source AI projects are a plus.

Why Join Us?

  • Opportunity to lead cutting-edge AI initiatives with global impact.
  • Collaborative work culture focused on innovation and continuous learning.
  • Competitive compensation and career growth opportunities.

Please share your resumes to [email protected]

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