GKM IT

Data Scientist Senior II (Machine Learning & Generative AI)

Company : GKM IT

At GKM IT, data isnt just numbersits the foundation of intelligent systems and innovation at scale. We are seeking a Senior II Data Scientist who thrives at the intersection of research and production engineering, with a focus on Machine Learning, Deep Learning, and Generative AI.

If you are passionate about LLMs, transformer models, applied ML research, and mentoring future leaders in data sciencethis is the role for you.

Role Overview :

You will lead end-to-end ML initiativesfrom reading and reproducing research papers to production deployment of cutting-edge AI models. Youll contribute to advancing our Generative AI capabilities while guiding junior data scientists and interns through complex, real-world problem solving.

This is a hands-on research and development role where you will design, prototype, optimize, and scale next-generation ML systems that directly impact products, customers, and business outcomes.

Key Responsibilities :

ML Research & Development :

- Conduct in-depth research on state-of-the-art machine learning & GenAI techniques, with a focus on LLMs, transformer architectures, and diffusion models.

- Reproduce and implement novel methods from research papers; adapt them to business use cases.

End-to-End ML Lifecycle Ownership :

- Own end-to-end ML workflows : problem framing, feature engineering, model design, experimentation, evaluation, optimization, deployment, and monitoring.

- Build scalable ML pipelines for data ingestion, preprocessing, model training, inference, and A/B testing.

Applied Generative AI :

- Fine-tune, distill, and evaluate Large Language Models (LLMs) and multi-modal systems for domain-specific tasks.

- Build LLM-powered applications using frameworks such as LangChain, LlamaIndex, RAG (Retrieval-Augmented Generation), and vector databases.

- Experiment with prompt engineering, fine-tuning strategies, embeddings, and model compression techniques.

Model Engineering & Deployment :

- Convert research-grade models into production-grade, optimized systems using TensorFlow Serving, TorchServe, ONNX Runtime, or Triton Inference Server.

- Implement MLOps best practices (CI/CD for ML, model monitoring, data versioning, drift detection).

Mentorship & Collaboration :

- Mentor junior data scientists and interns through hands-on project execution, code reviews, and research guidance.

- Collaborate cross-functionally with engineering, product, and business teams to align research with high-value use cases.

Requirements :

Experience : 5- 7 years in Data Science, Machine Learning, or AI research roles.

ML & DL Expertise :

- Proficiency in core ML algorithms (Linear/Logistic Regression, Decision Trees, Random Forests, SVMs, Gradient Boosting).

- Deep understanding of deep learning architectures : CNNs, RNNs, Transformers, Attention Mechanisms.

- Strong experience in training, fine-tuning, and deploying Transformer-based models (BERT, GPT, LLaMA, T5, etc.).

Programming & Tools :

- Advanced proficiency in Python; strong coding practices for production-quality ML systems.

- Expertise with Scikit-learn, TensorFlow, Keras, PyTorch, Hugging Face Transformers.

- Familiarity with LangChain, LlamaIndex, FAISS/Weaviate/Pinecone for vector search and LLM applications.

Math & Research :

- Strong foundation in statistics, probability, optimization, and linear algebra.

- Ability to read, interpret, and implement research papers into working prototypes.

MLOps & Infrastructure (Nice to Have) :

- Hands-on with cloud ML platforms (AWS Sagemaker, GCP Vertex AI, Azure ML).

- Familiarity with Docker, Kubernetes, Airflow, MLflow, Kubeflow.

Benefits @ GKM IT :

- Premium Work Setup : MacBook + accessories.

- Flexibility : Hybrid/remote support, flexible schedules, WFH utilities.

- Quarterly Bonuses : Performance-based payouts every 3 months.

- Learning Fund : Dedicated budget for courses, certifications, conferences.

- Family-First Culture : Maternity/paternity leaves, vouchers for family events.

- Celebrations & Rewards : Onboarding hampers, festive goodies, referral bonuses, weekend work incentives.

- Healthcare : Comprehensive health insurance for you & dependents.

- Team Bonding : Quarterly team lunches, retreats, and celebrations.