Job Title: Data Scientist.

Experience: 5-10 years (flexible based on expertise).

Employment Type: Full-Time.

About the Role:

We are looking for a highly skilled and innovative Data Scientist with deep expertise in Machine Learning, AI, and Cloud Technologies to join our dynamic analytics team.

The ideal candidate will have hands-on experience in NLP, LLMs, Computer Vision, and advanced statistical techniques, along with the ability to lead cross-functional teams and drive data-driven strategies in a fast-paced environment.

Key Responsibilities:

- Develop and deploy end-to-end machine learning pipelines including data preprocessing, modeling, evaluation, and production deployment.

- Work on cutting-edge AI/ML applications such as LLM-finetuning, NLP, Computer Vision, Hybrid Recommendation Systems, and RAG/CAG techniques.

- Leverage platforms like AWS (SageMaker, EC2) and Databricks for scalable model development and deployment.

- Handle data at scale using Spark, Python, SQL, and integrate with NoSQL and Vector Databases (Neo4j, Cassandra).

- Design interactive dashboards and visualizations using Tableau for actionable insights.

- Collaborate with cross-functional stakeholders to translate business problems into analytical solutions.

- Guide data curation efforts and ensure high-quality training datasets for supervised and unsupervised learning.

- Lead initiatives around AutoML, XGBoost, Topic Modeling (LDA/LSA), Doc2Vec, and Object Detection & Tracking.

- Drive agile practices including Sprint Planning, Resource Allocation, and Change Management.

- Communicate results and recommendations effectively to executive leadership and business teams.

- Mentor junior team members and foster a culture of continuous learning and innovation.

Technical Skills Required:

- Programming: Python, SQL, Spark.

- Machine Learning & AI: NLP, LLMs, Deep Learning, Computer Vision, Hybrid Recommenders.

- Techniques: RAG, CAG, LLM-Finetuning, Statistical Modeling, AutoML, Doc2Vec.

- Data Platforms: AWS (SageMaker, EC2), Databricks.

- Databases: SQL, NoSQL, Neo4j, Cassandra, Vector DBs.

- Visualization Tools: Tableau.

Certifications (Preferred):

- IBM Data Science Specialization.

- Deep Learning Nanodegree (Udacity).

- SAFe DevOps Practitioner.

- Certified Agile Scrum Master.

Professional Competencies:

- Proven experience in team leadership, stakeholder management, and strategic planning.

- Strong cross-functional collaboration and ability to drive alignment across product, engineering, and analytics teams.

- Excellent problem-solving, communication, and decision-making skills.

- Ability to manage conflict resolution, negotiation, and performance optimization within teams.