Designation : Data Scientist
Experience : 3+ Years
Location : Ahmedabad (Only Ahmedabad candidates can apply)
About the Company
NexusLink Services is more than just a technology company — we are a growth partner for businesses. With over 14 years of digital expertise, we specialize in delivering innovative web and mobile application development solutions that empower organizations to grow and transform digitally. Through cutting-edge technology, reliable service, and forward-thinking strategies, we help businesses turn ideas into impactful digital products.
JOB SUMMARY:
We are seeking a talented and driven Data Scientist with 3+ years of hands-on industry experience to join our AI & Data Science team. The ideal candidate will combine deep expertise in machine learning, deep learning, and Generative AI with strong software engineering practices including DevOps, containerization, and CI/CD pipelines. This role demands a practitioner who can independently design, train, fine-tune, and deploy ML models at scale, architect GenAI-powered solutions, and communicate insights effectively to both technical and non-technical stakeholders.
KEY RESPONSIBILITIES:
Machine Learning & Deep Learning
· Design, develop, train, and fine-tune ML/DL models for production-grade applications.
· Apply transfer learning and model fine-tuning techniques on large-scale datasets.
· Evaluate and benchmark model performance; implement improvements iteratively.
· Develop and maintain end-to-end ML pipelines from data ingestion to model serving.
Generative AI & LLM Engineering
· Design and implement GenAI architectures including RAG, agents, and multi-modal pipelines.
· Build and orchestrate LLM workflows using LangChain and LangGraph frameworks.
· Conduct prompt engineering, context optimization, and output evaluation for LLMs.
· Integrate GenAI solutions into scalable APIs and enterprise-grade applications.
Computer Vision
· Develop and deploy computer vision models for object detection, classification, segmentation, and tracking.
· Work with CNN-based architectures (ResNet, EfficientNet, YOLO) and Vision Transformers (ViT, DETR).
· Implement real-time inference pipelines optimized for edge and cloud deployment.
DevOps, Containerization & CI/CD
· Containerize ML applications using Docker; orchestrate deployments with Kubernetes, n8n.
· Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, or GitLab CI) for automated model training, testing, and deployment.
· Implement MLOps best practices including model versioning, experiment tracking, and monitoring.
· Collaborate with infrastructure teams on cloud platforms (AWS / GCP / Azure).
Client & Stakeholder Engagement
· Engage directly with clients to gather requirements, understand business challenges, and translate them into technical specifications.
· Present findings, model results, and AI recommendations to non-technical audiences clearly and confidently.
· Prepare detailed documentation, reports, and proposals for internal and external stakeholders.
REQUIRED SKILLS
Core Technical Skills
· Proficiency in Python and ML ecosystem libraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.
· Hands-on experience with deep learning model training, fine-tuning, and transfer learning.
· Strong understanding of supervised, unsupervised, and reinforcement learning paradigms.
· Solid knowledge of data preprocessing, feature engineering, and statistical analysis.
Generative AI & LLM Skills
· Practical experience with LLMs (GPT-4, LLaMA, Mistral, Gemini, Claude, etc.).
· Hands-on proficiency with LangChain and LangGraph for agentic and multi-step AI workflows.
· Knowledge of RAG (Retrieval-Augmented Generation), vector databases (Pinecone, Weaviate, ChromaDB, FAISS).
· Experience with prompt engineering, few-shot learning, and evaluation frameworks.
Computer Vision Skills
· Experience with OpenCV, torchvision, and Hugging Face for vision tasks.
· Knowledge of YOLO, Segment Anything Model (SAM), or similar frameworks.
· Experience with image preprocessing, augmentation, and large-scale image dataset management.
DevOps & Engineering Skills
· Proficient with Docker (multi-stage builds, image optimization) and Kubernetes (deployments, services, HPA).
· Hands-on CI/CD pipeline design using GitHub Actions, Jenkins, or GitLab CI.
· Experience with ML experiment tracking tools: MLflow, Weights & Biases, or DVC.
· Familiarity with REST API development using FastAPI or Flask for model serving.
· Working knowledge of Git version control and collaborative development workflows.
EDUCATION
· Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field (required).
· Master's degree in Artificial Intelligence, Machine Learning, or a related field (preferred).
· Relevant certifications in ML/AI (e.g., TensorFlow Developer, AWS ML Specialty, Google Professional ML Engineer) are a plus.
Pay: Up to ₹80,000.00 per month
Benefits:
Work Location: In person
