Machine Learning Engineer (Azure + Databricks)
TalentXplore
Contract
On-site
Mumbai, Maharashtra, India
Software Engineer
About the Role
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We are looking for a skilled and passionate Machine Learning Engineer with expertise in Azure and Databricks to join our team. The ideal candidate will bring hands -on experience in building, training, and deploying ML models in real -world applications, along with strong proficiency in cloud platforms and advanced Python programming.
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This role provides the opportunity to lead projects, mentor engineers, and contribute to Bizmetricās AI & ML innovation journey.
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Key Responsibilities
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Lead ML Projects: Drive end -to -end lifecycle from problem definition, data collection, model development, to production deployment.
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Algorithm Development: Design, implement, and optimize ML/DL algorithms (Deep Learning, NLP, Computer Vision, Reinforcement Learning).
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Data Preparation: Pre process, clean, and transform large -scale datasets for model training.
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Model Evaluation: Establish rigorous testing, validation, and performance optimization processes.
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Deployment & Integration: Work with cross -functional teams to integrate ML models into production systems.
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Collaboration with DevOps: Partner with DevOps teams on Git, CI/CD pipelines, containerization, and Terraform -based infrastructure.
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Mentorship: Guide junior engineers and share best practices in ML & AI.
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Requirements<\/h3>
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Requirements<\/h3>Required Skills (Must -Have)
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<\/div>Python DS | DE | ETL: 2+ years of hands -on experience.
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<\/div>Advanced Python: Strong coding proficiency and library knowledge.
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<\/div>Machine Learning: Proven track record of developing & deploying ML models.
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<\/div>ML Frameworks: Scikit -learn, TensorFlow, PyTorch.
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<\/div>Azure Cloud: Strong working knowledge of Azure services & tools.
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<\/div>Databricks: Expertise in big data pipelines and ML workflows.
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<\/div>DevOps Knowledge: Experience with Git, CI/CD, Terraform (basic level).
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<\/div>Deep Learning: Solid conceptual understanding.
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<\/div>NLP & Computer Vision: Practical exposure and applied understanding.
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<\/div>Image Processing: Experience with Python libraries like OpenCV.
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<\/div>Good to Have
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<\/div>Familiarity with Agile methodology.
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<\/div>Experience working in cross -functional, collaborative environments.
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Python DS | DE | ETL: 2+ years of hands -on experience.
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Advanced Python: Strong coding proficiency and library knowledge.
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Machine Learning: Proven track record of developing & deploying ML models.
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ML Frameworks: Scikit -learn, TensorFlow, PyTorch.
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Azure Cloud: Strong working knowledge of Azure services & tools.
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Databricks: Expertise in big data pipelines and ML workflows.
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DevOps Knowledge: Experience with Git, CI/CD, Terraform (basic level).
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Deep Learning: Solid conceptual understanding.
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NLP & Computer Vision: Practical exposure and applied understanding.
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Image Processing: Experience with Python libraries like OpenCV.
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Good to Have
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Familiarity with Agile methodology.
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Experience working in cross -functional, collaborative environments.
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