- Must have 6+ years of IT experience
- Should have the capability to understand requirements and convert to design and provide pass the same seamlessly to the team who is working on the same.
- Extensive knowledge on statistical and analytical analysis
- Knowledge of validated approaches for scale-ability, productionalizing models and implementing machine learning applied to expansive and diverse datasets.
- Experienced user of machine learning and statistical-analysis libraries, such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, Matplotlib, etc.
- Area of expertise in forecasting and basics of data engineering.
- An inquisitive mindset and robust analytical skills for complex problem solving, and an aptitude for learning systems quickly.
Good to have skills :
- Excellent interpersonal, organizational, written & oral communication and listening skills.
- Should come up with the work estimation and should provide inputs to managers on resource and risk planning.
- Strong knowledge and hands-on experience on Unix shell scripting
- Ability to coordinate with SMEs , stakeholders, manage timelines, escalation & provide on time status
- Familiarity with state-of-the-art cloud technologies such as AWS, GCP, Kubernetes, container is a plus.