
Sr ML Developer/Engineer
8 hours ago
Job Title: Senior Machine Learning Developer/Engineer
Location: Pune
Experience Required: 7 – 9 Years
About the Role:
We are looking for an experienced and highly skilled Senior Machine Learning Developer/Engineer to design, develop, and deploy advanced machine learning solutions. The ideal candidate will have strong expertise in building scalable ML models, working with large datasets, and collaborating with cross-functional teams to solve business problems using AI/ML technologies.
Key Responsibilities:
- Design, develop, and deploy machine learning models and algorithms for real-world applications.
- Collaborate with product managers, data scientists, and engineering teams to understand business requirements and translate them into ML solutions.
- Optimize ML models for performance, scalability, and accuracy.
- Work with large datasets, perform data preprocessing, and build data pipelines.
- Conduct experiments, evaluate models using standard metrics, and implement improvements.
- Stay up to date with the latest advancements in ML, deep learning, and AI frameworks.
- Mentor junior team members and contribute to best practices in ML development.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 7–9 years of professional experience in Machine Learning/AI development.
- Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- Experience with deep learning, NLP, computer vision, or recommendation systems.
- Proficiency in handling large datasets and data processing frameworks (e.g., Spark, Hadoop).
- Experience deploying ML models in production using cloud platforms (AWS, GCP, Azure).
- Solid understanding of software engineering practices, version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes).
- Excellent problem-solving, communication, and collaboration skills.
Good to Have:
- Experience with MLOps tools and frameworks (MLflow, Kubeflow, Airflow, etc.).
- Knowledge of model monitoring and lifecycle management.
- Contributions to open-source ML projects or research publications.
Job Type: Full-time
Pay: ₹2,000, ₹2,500,000.00 per year
Work Location: In person
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