Job Description for Artificial Intelligence Engineer profile with SecNinjaz Technologies LLP

Profile : AI/ ML Engineer

Number of Requirements : 02

Location of Deputation : New Delhi

Experience Range : 03 years – 05 years

Salary Range : No Bar for Potential Candidates

Education Qualifications : B.Tech. / B.E. / M.C.A.

Job Description:

We are looking for an experienced AI/ML Engineer with over 3+ years of experience in building robust and scalable AI/ML applications. The ideal candidate will have a strong technical background, practical knowledge of the latest AI tools, and a solid understanding of industry best practices. Additionally, the ability to excel in a fast-paced environment and consistently deliver high-quality results is essential.

Key Responsibilities:

• Find innovative solutions to hard problems
• Expertise in AI/ML Apps development with designing and building advanced/complex applications
• Should be hands on with coding
• Carry out research and development work on Android core framework
• Should own the implementation of the project.
• Relies on extensive experience and judgment to plan and accomplish goals.
• Implements and maintains engineering objectives and initiatives.
• Collaborate with cross-functional team members to define, design, and ship applications within tight time frames.
• Work on bug fixing and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Skills Requirement:

• Strong understanding of machine learning algorithms (supervised, unsupervised, deep learning).
• Proficient in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch etc.
• Expertise in Python and related NLP libraries (e.g., spaCy, NLTK, Transformers, Hugging Face)
• Proficient in SQL (postgreSQL preferred)
• Experience with data manipulation libraries (Pandas, NumPy) and visualization tools (Matplotlib, Seaborn).
• Hands-on experience with model deployment tools (Docker, Flask/FastAPI, Kubernetes, AWS/GCP/Azure).
• Familiarity with version control (Git), CI/CD workflows, and MLOps best practices.
• Solid understanding of statistics, data structures, and algorithms.
• Must have excellent verbal and written communication skills.
• Comfort with fast-paced environment and result-driven to meet the tight deadlines
• Demonstrated people management skills building and developing high performance teams
• Excellent analysis skills and the ability to develop processes and methodologies
• Ability to rapidly learn and take advantage of new concepts, business models, and technologies