Lead Machine Learning Engineer Job in Keywords Studios
Lead Machine Learning Engineer
- Pune, Pune Division, Maharashtra
- Not Disclosed
- Full-time
- Permanent
We are proud to be building a new AI research team in Pune to explore the many ways AI will enhance how games are made, run, supported, and played. If you are an explorer who needs to know what s over the horizon we want to hear from you.
About the Role:
Research and evaluate the latest AI technologies in gaming.
Rapidly prototype solutions in the deep learning and generative AI space.
Work with open-source LLMs for training, fine-tuning, inference, and evaluation.
Experiment with multimodal models for problem statements in text, image, and video.
Foster an environment of creativity and experimentation where we learn as much from experiments that fail as we do from those that sucseed.
Mentor team members and contribute to the development of the organization.
Benefits
- Hybrid setup
- Worker's insurance
- Paid Time Offs
- Other employee benefits to be discussed by our Talent Acquisition team in India
Closing:
Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status.
Experience & Requirements
About You:Bachelor s Degree in Computer Science, Engineering, Statistics, or a related field.
5+ years of working experience in at least one of the advanced machine learning areas including computer graphics, reinforcement learning, recommendation system, and natural language processing.
Proficiency in the Python programming language.
Experience with PyTorch, TensorFlow, or similar frameworks.
Experience with new LLM Engineering tools like LangChain, Vector DBs, etc.
Strong communication skills with the ability to explain complex technical concepts in simple terms.
Passion for gaming and AI.
What We Believe In:
We believe AI can support human creativity but can t replace it.
We thrive in a fast-paced environment, tackling cutting-edge problems through constant testing and learning.
The best way to predict the future is to invent it.
Minimum 5 Years
2 - 4 Hires
