Senior AI/ML Engineer & Data Scientist

Position Type: Full-Time, Remote
Location: Remote (Worldwide)
Reports to: Technical Director / CTO

About the Role

We are seeking a highly experienced AI/ML Engineer & Data Scientist to work on a large-scale enterprise software platform. This is a senior-level position requiring deep expertise in artificial intelligence, machine learning, and data science with proven experience in building and deploying production-grade AI systems.

You will be responsible for architecting intelligent features, building ML pipelines, integrating cutting-edge AI capabilities, and transforming complex data into actionable insights.

Key ResponsibilitiesAI/ML Development

• Design and build end-to-end machine learning systems for production deployment
• Develop deep learning models (CNNs, RNNs, Transformers, GANs)
• Implement recommendation engines, predictive analytics, and intelligent automation
• Optimize models for performance, scalability, and cost efficiency

LLM & NLP Integration

• Integrate and fine-tune Large Language Models (GPT-4, Claude, LLaMA, Mistral)
• Build NLP pipelines for text classification, sentiment analysis, and entity recognition
• Develop RAG systems, chatbots, and conversational AI features
• Implement prompt engineering and chain-of-thought reasoning

Data Science & Analytics

• Conduct exploratory data analysis on large, complex datasets
• Perform statistical analysis, hypothesis testing, and causal inference
• Build automated data pipelines and feature engineering workflows
• Create data visualizations and reporting dashboards

MLOps & Production Systems

• Design MLOps pipelines for continuous training and deployment
• Implement model monitoring, drift detection, and automated retraining
• Build scalable model serving infrastructure
• Establish testing frameworks and deployment strategies

AI Integrations

• Integrate third-party AI APIs (OpenAI, Anthropic, Google AI, Azure AI, AWS)
• Design RESTful APIs for model serving
• Implement vector databases and semantic search capabilities
• Build microservices architecture for AI features

Required QualificationsExperience

• Minimum 5-8 years in AI/ML and Data Science
• Minimum 5 years deploying production ML systems at scale
• Minimum 3 years with deep learning frameworks
• Minimum 2 years with LLMs and modern NLP
• Proven track record of delivering impactful AI projects

Education

• Bachelor's in Computer Science, ML, AI, Data Science, Statistics, or related field

Technical Skills

Programming:

• Python (expert level), SQL, and one additional language (R, Scala, or Java)

ML Frameworks:

• TensorFlow/Keras, PyTorch, Scikit-learn, XGBoost/LightGBM

NLP & LLMs:

• Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs
• Vector databases (Pinecone, Weaviate, Milvus, Chroma)

MLOps:

• MLflow, Weights & Biases, Docker, Kubernetes
• Model serving (TensorFlow Serving, TorchServe, BentoML)

Cloud Platforms (at least two):

• AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML

Data Engineering:

• Apache Spark, data warehousing, stream processing

Soft Skills

• Excellent English communication (written and verbal)
• Self-motivated with ability to work independently
• Strong problem-solving and analytical thinking
• Experience working in remote, distributed teams

Preferred Qualifications

• Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL)
• Open-source contributions to ML frameworks
• Experience with AI safety and alignment
• Cloud ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI Engineer)
• Domain expertise in enterprise software, fintech, healthcare, or e-commerce

Job Type: Full-time

Pay: From Rs200,000.00 per month