Consultant Data Scientist

Coherent Pixel SystemsHiring Alert – Consultant Data Scientist

Experience: 6 – 9 Years Work Mode: Remote

Job Description

We are looking for an experienced Data Scientist with strong expertise in Statistical Machine Learning, Generative AI/LLMs, and Computer Vision. The ideal candidate will design, develop, and deploy end-to-end AI/ML solutions across structured data, text, and image modalities while ensuring scalability, reliability, and measurable business impact.

Key Responsibilities

Design and deploy end-to-end machine learning solutions across structured, text, and image data.

Apply statistical methodologies, experimental design, A/B testing, and causal inference techniques to validate business hypotheses.

Build, fine-tune, and optimize Large Language Models (LLMs) for domain-specific use cases such as Retrieval-Augmented Generation (RAG), summarization, and classification.

Develop computer vision solutions for object detection, segmentation, image recognition, and multimodal applications.

Evaluate, select, and integrate foundation models and open-source AI frameworks based on business requirements.

Manage the complete ML lifecycle, including model training, deployment, monitoring, drift detection, retraining, and version control.

Collaborate with cross-functional teams to translate business challenges into scalable AI solutions.

Mentor junior data scientists and contribute to internal AI frameworks, tools, and best practices.

Mandatory Skill Domains

(All three domains are mandatory – no exceptions)

1. Statistical Machine Learning

Required Expertise:

Strong foundation in probability theory, statistical distributions, and Maximum Likelihood Estimation (MLE).

Hands-on experience with Gradient Boosting frameworks such as XGBoost and LightGBM.

Expertise in Regularized Regression techniques and Support Vector Machines (SVM).

Ability to design statistically sound experiments with power analysis and significance testing.

Experience with Bayesian modeling frameworks such as PyMC, Stan, or Pyro.

Key Areas:

Bayesian Inference

Probabilistic Modeling

Ensemble Methods

Causal Inference

Survival Analysis

Hypothesis Testing

Experimental Design

2. LLMs & Generative AI

Required Expertise:

Hands-on experience fine-tuning and adapting open-source LLMs such as Llama, Mistral, Falcon, or similar models.

Strong experience building and evaluating Retrieval-Augmented Generation (RAG) pipelines.

Working knowledge of vector databases including Pinecone, Weaviate, Chroma, and FAISS.

Experience with model evaluation frameworks such as RAGAS, LangSmith, or custom evaluation pipelines.

Understanding of model quantization, context-window optimization, and inference cost management.

Key Areas:

RAG Pipelines

Fine-Tuning (LoRA / QLoRA)

Prompt Engineering

Embeddings & Vector Search

LLM Evaluation Frameworks

Agentic Workflows

Foundation Models

3. Computer Vision

Required Expertise:

Experience with object detection and segmentation frameworks such as YOLO, Detectron2, SAM, or equivalent.

Proficiency in Vision Transformer architectures including ViT, DINO, and CLIP.

Ability to address real-world computer vision challenges including class imbalance, domain adaptation, and limited labeled datasets.

Familiarity with multimodal vision-language models such as LLaVA, GPT-4V, Gemini, or similar platforms.

Key Areas:

Object Detection

Image Segmentation

Image Classification

Vision Transformers

Multimodal AI Models

Data Augmentation

Vision-Language Applications

Preferred Qualifications

Experience deploying AI/ML solutions in production environments.

Strong Python programming skills and familiarity with modern ML frameworks.

Experience working in cloud-based AI ecosystems.

Excellent analytical, problem-solving, and communication skills.

Ability to work independently in a remote, collaborative environment.

Share your CV:

prakash.sundarraj@coherent.in

ramya.balakrishnan@coherent.in

Contact / WhatsApp:

9840125754

Immediate Joiners Preferred

Work Location: Remote