Senior Software Engineer

AIML Lead - Priority

Location- pune

Budget -3L

Experience 10+yrs

Position Overview:

We are looking for a talented and experienced Applied AI/ML Lead to drive the development and

deployment of artificial intelligence (AI) and machine learning (ML) models in real-world business

applications. Your work will involve collaborating with cross-functional teams, influencing business

strategies, and implementing scalable AI/ML solutions that deliver tangible business value.

As the Applied AI/ML Lead, you will have a strong focus on turning AI research and models into

production-ready solutions, ensuring that models are robust, scalable, and integrated into key business

processes. You will also be responsible for mentoring and guiding a growing AI/ML team while

staying up-to-date with the latest advancements in AI/ML technology.

Roles and Responsibilities:

Lead the development and deployment of AI/ML models aimed at improving

customer-facing experiences and driving personalization.

Work closely with Data Analytics and Development teams to integrate AI models into

production environments.

Design AI-based solutions that leverage clustering, segmentation, and scoring techniques.

Oversee the development of AI/ML-based features and capabilities (recommendations,

predictive analytics, etc.).

Collaborate with the data engineering team to ensure data readiness and quality for AI/ML

models.

Implement and track AI performance using AIOps practices to reduce MTTR (Mean Time to

Resolution).

Must Have Skills:

10+ years of experience in AI/ML, with at least 3 years in a leadership or technical oversight

role.

Expertise in applying AI/ML for business solutions, with a focus on customer experience

improvement and personalization.

Hands-on experience with AI frameworks such as TensorFlow, PyTorch, and integrating AI

with cloud platforms (AWS preferred).

Strong expertise in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn.

Experience with AWS AI/ML tools like SageMaker, or similar cloud-based AI services.

Strong understanding of customer personalization techniques, including segmentation,

scoring, and recommendation systems.

Deep knowledge of data pipelines, and integrating AI models with real-time data systems

(e.g., Kafka).

Proficiency in Python for AI/ML development and deployment.

Good to Have:

Familiarity with MinIO and S3 for managing large AI datasets.

Experience in automating AI/ML workflows using tools like Airflow.

Exposure to LLM (Large Language Models) and RAG (Retrieval-Augmented Generation)

models.

Qualification:

Bachelor's degree in Computer Science Engineering, or a related technical degree.

Location:

Pune, India