Senior Data Scientist with expertise in AI/ML

## Full Description Job Title: Data Science Engineer (AI/ML Expertise) Company name: DevConsole Location: On-site ( Eithad town, Raiwand Road, Lahore) Job Type: Contractual Experience: 3+ years Salary: 120k - 250k Timings: 9:00 pm - 4:00 am ⸻ Job Overview: We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team. The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems. You will work closely with cross-functional teams — including data engineers, product managers, and software developers — to transform raw data into actionable intelligence and production-ready ML models. ⸻ Key Responsibilities: • Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases. • Build and optimize data pipelines and ETL workflows for efficient model training and inference. • Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems. • Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights. • Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.). • Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP). • Collaborate with data engineers to ensure data quality, governance, and real-time accessibility. • Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment. • Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability. • Present data-driven insights and AI strategies to both technical and non-technical stakeholders. ⸻ Required Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. • 3+ years of hands-on experience in data science, AI, and machine learning engineering. • Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras. • Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques. • Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop. • Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis). • Proven experience in deploying ML models to production using APIs or containerized solutions. • Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform. • Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau). • Excellent problem-solving, analytical, and communication skills. ⸻ Preferred Qualifications: • Experience building AI-driven systems in healthcare, fintech, or SaaS environments. • Exposure to big data streaming (Kafka, Flink) and real-time ML inference. • Understanding of MLOps practices — model versioning, monitoring, retraining pipelines. • Contributions to open-source AI/ML projects or research publications. • Familiarity with LLMs, generative AI, and prompt engineering. ⸻ What We Offer: • Competitive salary and performance-based incentives. • Exposure to large-scale AI-driven projects with measurable business impact. • Professional growth opportunities with access to state-of-the-art ML infrastructure. • Collaborative team culture with mentorship and innovation at its core.