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Open nowPosted 394 days ago

Machine Learning Engineer (Azure + Databricks)

TalentXplore222 open roles

Where
Mumbai, Maharashtra, India
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Your applicationOpen nowMachine Learning Engineer (Azure + Databricks)TalentXplore · Mumbai, Maharashtra, India

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 394 days ago

The posting

About the Role 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. This role provides the opportunity to lead projects, mentor engineers, and contribute to Bizmetric’s AI & ML innovation journey. Key Responsibilities Lead ML Projects: Drive end-to-end lifecycle from problem definition, data collection, model development, to production deployment. Algorithm Development: Design, implement, and optimize ML/DL algorithms (Deep Learning, NLP, Computer Vision, Reinforcement Learning). Data Preparation: Pre process, clean, and transform large-scale datasets for model training. Model Evaluation: Establish rigorous testing, validation, and performance optimization processes. Deployment & Integration: Work with cross-functional teams to integrate ML models into production systems. Collaboration with DevOps: Partner with DevOps teams on Git, CI/CD pipelines, containerization, and Terraform-based infrastructure. Mentorship: Guide junior engineers and share best practices in ML & AI. Requirements Required Skills (Must-Have) Python DS | DE | ETL: 2+ years of hands-on experience. Advanced Python: Strong coding proficiency and library knowledge. Machine Learning: Proven track record of developing & deploying ML models. ML Frameworks: Scikit-learn, TensorFlow, PyTorch. Azure Cloud: Strong working knowledge of Azure services & tools. Databricks: Expertise in big data pipelines and ML workflows. DevOps Knowledge: Experience with Git, CI/CD, Terraform (basic level). Deep Learning: Solid conceptual understanding. NLP & Computer Vision: Practical exposure and applied understanding. Image Processing: Experience with Python libraries like OpenCV. Good to Have Familiarity with Agile methodology. Experience working in cross-functional, collaborative environments.

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