Sr. Machine Learning Engineer

Key Responsibilities:

• Engage with clients to understand their business challenges and identify AI-driven solutions, including Generative AI use cases.
• Design, develop, and deploy AI models, including large language models (LLMs), computer vision, or data science-based solutions.
• Train machine learning models from scratch and fine-tune pre-trained models for customized 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, machine learning, and Generative AI technologies.

Requirements

Required Skills and Qualifications:

• 4+ years hands-on experience.
• 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, including Generative 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, including training ML models.
• 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, Generative AI, 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)