Senior Machine Learning Engineer
3 days ago
Only IDfy combines enterprise-grade technology with business understanding and has the widest breadth of offerings in the industry. With more than 12+ years of experience and 2 million verifications per day, we are pioneers in this industry.
Our clients include HDFC Bank, Induslnd Bank, Zomato, Amazon, PhonePe, Paytm, HUL and many others.
We have successfully raised $27M from Elev8 Venture Partners, KB Investments & Tenacity Ventures
We work fully onsite on all days of the week from our office in Mumbai/Pune
About the team
The machine learning team is a self-contained team responsible for building models and services that support key workflows for IDfy.
Our models are gating criteria for these workflows and as such are expected to perform accurately and quickly. We use a mix of conventional and hand-crafted deep learning models.
The team comes from diverse backgrounds and experience.
We work directly with business and product teams to craft solutions for our customers. We know that we are, and function as a platform and not a services company.
About the Role
In this role, you will:
Work on all aspects of a production machine learning system, including acquiring data, training and building models, deploying models, building API services for exposing these models, and maintaining them in production.
Focus on performance tuning of models.
Occasionally support and debug production systems.
Research and apply the latest technology to build new products and enhance the existing platform.
Build workflows for training and production systems.
Contribute to documentation.
While the emphasis will be on researching, building, and deploying models into production, you will be expected to contribute to the aspects mentioned above.
About You
You are a mid-career machine learning engineer (or data scientist) with 3-6 years of experience in data science.
Must Haves
Experience in framing and solving problems with machine learning or deep learning models.
Expertise in either computer vision or natural language processing (NLP) is a must, with appropriate production system experience
Experience with generative AI, including fine-tuning models and utilizing Retrieval-Augmented Generation (RAG)
Understanding that modeling is only a small part of building and delivering AI solutions, and knowledge of what it takes to keep a high-performance system up and running.
Proficiency in Python and experience with PyTorch, TensorFlow, JAX, HuggingFace, Spacy, etc.
Enthusiasm and drive to learn and assimilate state-of-the-art research.
Ability to write APIs.
Experience with AI systems with at least one cloud provider: AWS Sagemaker, GCP VertexAI, AzureML
Good to Have
Familiarity with languages like Go, and Elixir, or an interest in functional programming.
Knowledge and experience in MLOps and tooling, particularly Docker and Kubernetes.
Experience with other platforms, frameworks, and tools.
Why Join Us?
Innovative, Impactful Projects: Work on cutting-edge AI projects that push the boundaries of technology and positively impact billions of people.
Collaborative Environment: Join a passionate and talented team who is dedicated to innovation and excellence. Be part of a diverse and inclusive workplace where your ideas and contributions are valued.
Mentorship Opportunities: Mentor interns and junior team members, with support and coaching to help you develop leadership skills.
Life At IDfy
People at IDfy care about creating value. We take pride in the strong collaborative culture that we have built, and our love for solving challenging problems. Life at IDfy is not always what you’d expect at a tech start-up that’s growing exponentially every quarter. There’s still time and space for balance.
We host regular talks, events and performances around Life, Art, Sports, and Technology; continuously sparking creative neurons in our people to keep their intellectual juices flowing. There’s never a dull day at IDfy. The office environment is casual and it goes beyond just the dress code. We have no conventional hierarchies and believe in an open-door policy where everyone is approachable.
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