Data Scientist - Artificial Intelligence/Machine Learning

Position : Data Scientist.

Experience : Min 3 Years.

Work Mode : Remote.

Notice Period : Max.30 Days (45 for Notice Serving).

Interview Process : 2 Rounds.

Interview Mode : Virtual Face-to-Face.

Interview Timeline : 1 Week.

Industry : Must be from a BPO/ KPO/ Shared Services or Healthcare Org.

Key Responsibilities :

AI/ML Development & Research :

- Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems.

- Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.

- Build agent-based AI systems with autonomous decision-making capabilities.

- Conduct cutting-edge research on emerging AI technologies and explore their practical applications.

- Perform model evaluation, validation, and continuous optimization to ensure high performance.

Cloud Infrastructure & Full-Stack Development :

- Develop full-stack applications that seamlessly integrate AI models with modern web technologies.

- Build and maintain robust ML pipelines using cloud services (e.g., SageMaker, ML Engine).

- Implement CI/CD pipelines to streamline ML model deployment and monitoring processes.

- Design and optimize cloud infrastructure to support high-performance computing workloads.

Data Engineering & Database Management :

- Work with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.

- Optimize database performance to support machine learning workloads and real-time applications.

- Implement robust data governance frameworks and ensure data quality assurance practices.

- Manage and process streaming data to enable real-time decision-making.

Leadership & Collaboration :

- Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to develop solutions that align with organizational goals.

- Present findings and insights to both technical and non-technical audiences in a clear and actionable manner.

- Lead proof-of-concept projects and innovation initiatives to push the boundaries of AI/ML applications.

Required Qualifications :

Education & Experience :

- 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.

- 3+ years of experience working with deep learning frameworks and neural networks.

- 2+ years of experience with cloud platforms and full-stack development.

Technical Skills :

Core AI/ML :

- Deep Learning : Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.

- Large Language Models : Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.

- Generative AI : Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation

models.

- Agentic AI : Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.

Technical Skills Development & Infrastructure :

- Cloud Platforms : Proficient with AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI.

- Databases : Proficiency with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB).

- Full-Stack Development : Experience with React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes.

- MLOps : Experience with MLflow, Kubeflow, model versioning, and A/B testing frameworks.

- Big Data : Expertise in Spark, Hadoop, Kafka, and streaming data processing.

Non Negotiables :

- Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.).

- Implement CI/CD pipelines for ML model deployment and monitoring.

- Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.).

- Industry : Must be a BPO or Healthcare Org.