CodeNinja
Senior Machine Learning Engineer
Job Description
Position Overview: We are seeking a talented and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in developing code and programming languages, with a focus on implementing deep learning algorithms. This role will involve working on cutting-edge projects and collaborating with cross-functional teams to drive innovation and deliver impactful solutions.
Key Responsibilities:
- Engage with clients to understand their business challenges and identify AI-driven solutions.
- Design, develop, and deploy AI models, including large language models (LLMs), computer vision, or data science-based solutions.
- Collaborate with internal teams to prototype, develop, and implement AI solutions that align with clients’ business goals.
- Write comprehensive proposals outlining AI strategies, technical approaches and deployment strategies.
- Stay updated on the latest trends and advancements in AI and machine learning.
Requirements
- Required Skills and Qualifications:
- Proven experience in AI/ML, including working with frameworks like TensorFlow, PyTorch, or scikit-learn.
- Hands-on experience in designing, training, and fine-tuning AI models.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong problem-solving skills with the ability to design AI solutions from scratch.
- Excellent communication skills to articulate complex AI concepts and proposals to non-technical stakeholders.
- Experience in writing detailed technical proposals and presenting AI strategies.
- Knowledge of data preprocessing, feature engineering, and data pipelines is a plus.
Preferred Qualifications:
- Experience in large language models (LLMs), NLP, or computer vision.
- Experience in deploying AI solutions in production environments.
- Bachelor’s/Master’s degree in Computer Science, AI, Machine Learning, or related field.
Benefits
- Provident Fund
- Gym Membership
- Leaves as per the company policy.
- Company-paid trips
- Easy Loan Facility for Employees
- Yearly increment
- Health Insurance (includes spouse and parents) (till the age of 80)