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

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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.

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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.

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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.

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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.

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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.