Senior Software Engineer_AI/ML

We are seeking a Senior Software Engineer to join our team and play a key role in designing, building, and optimizing advanced reliability engineering solutions across a variety of domains. This individual will translate complex business and technical requirements into scalable, resilient, and secure enterprise-grade solutions. This individual will be involved in cutting-edge initiatives, including predictive alerting, automation, and the integration of AI-driven reliability operations to ensure the business remains agile and stable.

Core Responsibilities:

AI/ML Integration

• Develop and implement AI/ML models for anomaly detection in software systems.
• Collaborate with data scientists, telemetry and observability engineers to refine models and improve accuracy.
• Integrate AI/ML solutions into existing software engineering workflows to enhance reliability and auto triage capabilities.
• Conducts deep statistical analysis, including predictive and prescriptive modeling, to mature and scalre reliability engineering capabilities
• Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies and applies it to projects.

System Reliability

• Design and implement strategies to improve the reliability and performance of software systems.
• Works with reliability engineers, telemetry and observability engineers and data scientists to translate requirements into an analytical approach
• Monitor system health and performance, identifying and addressing issues proactively.
• Develop automated triage processes to quickly resolve incidents and minimize downtime.

Communication & Collaboration

• Collaborate with cross-functional partners to implement AI/ML solutions that scale and integrate seamlessly with existing technology stacks
• Deliver rapid insights on short timelines when urgent business questions arise, using advanced analytical methods in SQL, Python, or R.
• Summarize complex analyses into clear and concise presentations or reports for senior leadership decision-making.

Education Qualification & Certifications

Required Minimum Qualifications :

• List the education, certification, and work experience for an incumbent in the job. Enter the Minimum Qualifications and Preferred Qualifications as directed, and delete the areas not used.
• List the education, certification, work experience and skills required to minimally qualify an individual for the job.
• B.E / BTech
• MTech

Skill Set Required

Primary Skills (must have)

• 5 Years of experience in programming and scripting languages (eg: Python, Java, JavaScript) to develop and maintain custom solutions.
• 2 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a masters or doctorate degree)
• 3 years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big QueryAgile project experience

Secondary Skills (desired)

• Strong written and verbal communication skills
• Strong interpersonal skills and time management skills

Role: Full Stack Developer

Industry Type: Retail

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Education

UG: B.Tech/B.E. in Any Specialization

PG: M.Tech in Any Specialization, Any Postgraduate