AI/ML Engineer

Job Role: AI/ML Engineer

Job Location: New Delhi / Hyderabad, TS / Gurgaon, HR / Chennai, TN / Bangalore, KA / Noida, UP

Work Mode: (Hybrid/WFO)

Skills Required:

Experience: 6-8 Years

• Design, development, and deployment of AI/ML models and solutions; Optimize and fine-tune AI/ML models for performance and scalability
• Utilize solid development skills in programming languages such as Python, SQL, PySpark, Hive, Shell Scripting
• Ensure best practices in coding, testing, and deployment
• Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions
• Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment
• Manage multiple AI/ML projects simultaneously, ensuring timely delivery and quality
• Collaborate with cross-functional teams to define project requirements and deliverables
• Communicate effectively with stakeholders to understand their needs and provide technical insights
• Conduct research to identify new opportunities for AI/ML applications
• Provides explanations and interpretations within area of expertise
• Produce and distribute scheduled and ad-hoc reports on product development and performance.

Essential Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics or a related field

Experience:

• 4+ years of experience in AI/ML
• Hands-on experience in delivering production-grade AI/ML projects
• Experience with deploying AI/ML models in production environments using cloud platforms like AWS, Azure, or GCP
• Solid background in programming languages such as Python, SQL, PySpark, Hive, Shell Scripting.
• Experience with cloud platforms AI Stacks like AWS Bedrock, Azure AI, GCP Vertex AI is a plus
• Proven excellent problem-solving and analytical skills
• Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
• Solid programming skills in Python, with experience in pandas, NumPy, and SQL
• Ability to work in a fast-paced, dynamic environment
• Robust skills in EDA, building and maintaining AI/ML data pipelines
• Solid communication and interpersonal skills