Job Summary
Key Responsibilities
1. Architect And Develop Comprehensive Machine Learning Solutions Using Tensorflow And Pytorch, Collaborating With The Team To Ensure Timely And Quality Delivery Of Both Products And Sustenance Projects.
2. Serve As A Subject Matter Expert In Machine Learning, Providing Technical Guidance To The Team And Stakeholders, Ensuring Projects Align With Industry Standards And Best Practices.
3. Continuously Upgrade Knowledge By Researching And Integrating New Machine Learning Technologies And Methodologies, Ensuring Solutions Remain Current And Meet Evolving Quality Standards.
4. Mentor And Conduct Training Sessions For Team Members, Ensuring A Robust Knowledge Transfer And A Sufficient Pool Of Skilled Professionals In Machine Learning And Related Technologies.
5. Gather And Analyze Specifications To Deliver Tailored Machine Learning Solutions That Meet The Specific Needs Of The Client Organization, Leveraging A Deep Understanding Of Domain Requirements.
6. Support Competency Development By Envisioning Strategic Propositions, Creating Technical Collaterals, And Performing Market Trend Analyses To Position The Organization As A Leader In Machine Learning.
7. Recommend And Implement Initiatives That Create Client Value, Championing The Adoption Of Industry Best Practices In Machine Learning Deployment And Optimization.
Skill Requirements
| Skill Matrix | GenAI /ML (E3Band) | |
| Years of Exp | TEX:8+yrs; REX: 5+yrs | |
| Location – Pan India or any constraint – Also mention location for physical attendance | Noida, Bangalore, Hyd, Chennai | |
| Project type (Support / Dev / Maintenance / Testing) | Dev | |
| Team Handling / Individual Contributor | Both | |
| Shift involved – If yes please share timing. | No | |
| Customer interview involved – yes / No | No | |
| Sell Rate | NA | |
| Notice Period | P1:0-30days; P2: 30-45days: P3: 45-90days | |
| Skill | Mandatory | Proficiency Level (1-5) |
| Python | Yes | 5 |
| ML Model Development | Yes | 5 |
| Kafka,Spark, PostgreSQL | Yes | 5 |
| TensorFlow, PyTorch, pandas, NumPy, XGBoost | Yes | 5 |
| R, Bash,scikit-learn, , LightGBM, Spark Mllib,Classical ML, Deep Learning, NLP, Time Series Forecasting,Apache Spark,Apache Airflow,Apache Kafka, RabbitMQ,PostgreSQL, MySQL, DataBricks | Good to have | 4 |