Senior Machine Learning Engineer
In this role, you will be responsible for driving the execution of crucial infrastructure and platform initiatives related to AI/ML pipelines. These pipelines are designed for highly efficient and scalable model Training, & Inference. The responsibilities include building and developing tools, and automation of redundant tasks. This role requires someone with a strong collaborative and growth mindset. You will also look after the career development of the engineering team members.
Responsibilities:
- You will be accountable for overseeing comprehensive project lifecycles, ensuring their effective progression from inception through to culmination.
- You will provide adept guidance and mentorship to junior and mid-level engineers, empowering them to amplify their proficiencies and accomplish their career aspirations.
- Your remit includes formulating project strategies and orchestrating their proficient execution, guaranteeing punctual deliverables and alignment with project goals.
- Furthermore, you will extend your technical skills and support to team members, aiding them in surmounting hurdles and upholding unimpeded advancement
Skills:
- Proficiency with a deep learning framework such as Large Language Models (LLM), BERT · Natural Language Generation · Natural Language Understanding · Natural Language Processing (NLP) · Python (Programming Language).
- Familiarity with basic libraries such as scikit-learn and pandas
- Familiarity with Linux.
- Experience with visualizing and manipulating big datasets
Requirements:
- At least 5 years of relevant development experience.
- BS in Computer Science or a related field.
- Strong CS fundamentals including data structures & algorithms.
- Experience in designing, implementing, and operating scalable software systems and services.
- Excellent verbal and written skills.
- Hands-on experience with containerized platforms like Docker and Kubernetes.
- Certification is a plus.
Who You’ll Work With
You’ll work with ambitious, supportive teammates focused on learning, growing, and building meaningful solutions.
What You’ll Do
Lead initiatives, solve meaningful problems, and build impactful solutions.
