About the Role:
Duration: 12 months
Location: Pune
Timings: Full Time (As per company timings)
Notice Period: (Immediate Joiner - Only)
Experience: 6-9 Years
Work Location: Pune (Onsite)
Shift: 12:00 PM – 9:00 PM IST
Experience: Overall 6+ years, Relevant 5+ years
Responsibilities:
Design and build end-to-end ML pipelines, including model training, deployment, and monitoring.
Develop scalable ML solutions using supervised, unsupervised, and deep learning techniques.
Optimize models with tools like TensorFlow, PyTorch, and Scikit-learn.
Implement MLOps practices with tools like MLflow and Kubeflow for CI/CD and model management.
Collaborate with data scientists and engineers to integrate ML systems into production.
Stay updated on the latest ML advancements and drive innovation.
Create prototypes to validate new ideas and document system designs.
Mentor junior team members and promote knowledge sharing.
Key Skills and Qualifications:
Strong expertise in ML algorithms, deep learning frameworks, and statistical modelling.
Proficiency in Python or similar languages, and experience with TensorFlow, PyTorch, and Scikit-learn.
Hands-on experience with MLOps tools and cloud platforms (AWS, Azure, GCP).
Excellent problem-solving and collaboration skills.
Driving Results:
- A good single contributor and a good team player.
- Flexible attitude towards work, as per the needs.
- Proactively identify & communicate issues and risks.
Other Personal Characteristics:
- Dynamic, engaging, self-reliant developer
- Ability to deal with ambiguity
- Manage a collaborative and analytical approach
- Self-confident and humble
- Open to continuous learning
- Intelligent, rigorous thinker who can operate successfully amongst bright people