Location: Lahore, Pakistan (Remote option for exceptional candidates)
Type: Full-Time (Contract considered)

Role Overview

We are seeking a skilled Data Engineer who will work closely with clients, internal consultants, and other stakeholders to design, build, and maintain scalable data pipelines and architectures in Snowflake. You’ll play a critical role in enabling reliable data-driven solutions that power decision-making and AI initiatives. You should be well-versed in working with modern data platforms—especially Snowflake—and capable of leveraging data to solve complex business problems.

Key Responsibilities

• Design, implement, and maintain robust data pipelines and ETL processes on Snowflake. Integrate data from various sources including APIs, databases, cloud platforms, and third-party tools.
• Implement and optimize data warehouses on Snowflake. Be clear on how to optimize for cost and performance.
• Monitor data pipeline performance and troubleshoot issues as needed.
• Model data structures optimized for performance, scalability, and reusability.
• Collaborate with cross-functional teams (data scientists, analysts, and business stakeholders) to understand their data needs and translate them into technical solutions.
• Ensure data quality, integrity, and compliance with security and governance policies.
• Advise clients on data architecture best practices, integration, and performance tuning.
• Document solution architecture, testing strategy, and performance benchmarks.
• Radiate positive energy to peers and clients and be a positive change agent.
• Document work clearly and contribute to knowledge sharing across the team.
• Maintain a safe working and thriving work environment.
• Stay current with industry trends, tools, and best practices in data science and analytics.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering or consulting roles
• Strong command of data modeling techniques and best practices
• Proficiency with Snowflake, including advanced features such as Snowpipe, Time Travel, and Secure Data Sharing
• Familiarity with multiple database and data warehouse platforms (e.g., BigQuery, Redshift, PostgreSQL)
• Experience with SQL, Python, and modern data pipeline tools (e.g., dbt, Airflow, Fivetran, or similar)
• Experience working in a consulting or client-facing environment.
• Strong problem-solving skills and crystal-clear client-facing communication.

Nice-to-Have

• Portfolio of prior work (GitHub notebooks, published case studies)
• Experience with BI/reporting tools (Looker, Power BI, Tableau)
• Exposure to cloud platforms (AWS, GCP, or Azure)
• Previous experience in an AI, analytics, or digital transformation consultancy
• Knowledge of real-time data processing tools (e.g., Kafka, Spark Streaming)
• Experience with CI/CD and infrastructure-as-code (e.g., Terraform, Docker)
• Familiarity with AI/ML pipelines and MLOps concepts

Location: Lahore, Pakistan (Remote for exceptional candidates)
Type: Full-Time (Contract basis considered)

Role Overview

We’re seeking a Data Consultant with demonstrated strength in data science and analytics—someone who thrives on building insight-driven solutions and can translate complex data into actionable business intelligence. You’ll bring creativity, curiosity, and a strong command of tools and methods, with hands-on experience in Snowflake at the core of your work.

You will work closely with clients to uncover actionable insights, build advanced models, and communicate results with clarity and impact. You should be well-versed in working with modern data platforms—especially Snowflake—and capable of leveraging data to solve complex business problems.

Key Responsibilities

• Collaborate with clients to understand business goals and translate them into data-driven solutions.
• Design and implement analytics workflows, from data exploration and visualization to statistical modeling and machine learning.
• Develop dashboards and reports using tools such as Power BI, Tableau, or Looker.
• Work with multiple data platforms and sources, including Snowflake, to ingest, transform, and analyze data.
• Apply data science techniques such as regression, clustering, classification, and time series forecasting.
• Present findings through compelling visual narratives and presentations tailored to business and technical audiences.
• Document solution architecture, testing strategy, and performance benchmarks.
• Radiate positive energy to peers and clients and be a positive change agent.
• Document work clearly and contribute to knowledge sharing across the team.
• Maintain a safe working and thriving work environment.
• Stay current with industry trends, tools, and best practices in data science and analytics.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• 3+ years of experience in data science, analytics, or consulting roles
• Proficiency in Snowflake, especially using it for analytical modeling, performance optimization, and secure data sharing
• Hands-on skills with SQL, Python, and data science libraries (e.g., pandas, scikit-learn, seaborn, etc.)
• Strong grasp of statistics, hypothesis testing, and model validation techniques
• Experience with multiple data warehouses/databases (e.g., BigQuery, Redshift, PostgreSQL)
• Experience working in a consulting or client-facing role.
• Strong problem-solving skills and crystal-clear client-facing communication.

Nice-to-Have

• Portfolio of prior work (GitHub notebooks, BI dashboards, or published case studies)
• Familiarity with BI tools such as Power BI, Looker, or Tableau
• Exposure to cloud platforms (e.g., AWS, GCP, Azure)
• Previous work in AI consulting or digital transformation projects

Location: Lahore, Pakistan (Remote option for exceptional candidates)
Type: Full-Time (Contract considered)

Role Overview

We’re seeking a highly motivated and technically skilled AI/ML Engineer who thrives at the intersection of cutting-edge machine learning, deep learning, and real-world implementation. You’ll lead and contribute to the full lifecycle of AI projects—from concept and prototyping to deployment and optimization—while balancing performance metrics with business constraints such as cost and scalability.

You must be able to translate complex business needs into practical, scalable, and cost-effective AI solutions, with a strong focus on delivering high accuracy and precision aligned with client expectations. Demonstrable past projects are a must.

Key Responsibilities

• Design, build, and deploy end-to-end AI and ML solutions tailored to client needs
• Optimize models to improve accuracy, precision, and performance, ensuring they meet client-defined thresholds
• Collaborate with stakeholders to understand domain-specific challenges and align models with real-world KPIs
• Ensure scalability, reliability, and maintainability of AI models in production environments
• Identify trade-offs and deliver solutions that are cost-effective and technically sound
• Document and communicate technical approaches clearly to both internal teams and client stakeholders
• Document solution architecture, testing strategy, and performance benchmarks
• Radiate positive energy to peers and clients and be a positive change agent
• Document work clearly and contribute to knowledge sharing across the team
• Maintain a safe working and thriving work environment
• Stay current with industry trends, tools, and best practices in data science and analytics

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
• 3+ years of hands-on experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Proven track record delivering production-ready AI systems, ideally in client-facing or consulting environments
• Strong command of Python, relevant AI/ML libraries, and model development pipelines
• Experience optimizing models for speed, efficiency, and cost (e.g., quantization, pruning, batching)
• Understanding of cloud-based AI deployments (e.g., AWS SageMaker, Azure ML, GCP Vertex AI)
• Strong analytical mindset and creative approach to solving open-ended problems
• Experience working in a consulting or client-facing role
• Strong problem-solving skills and crystal-clear client-facing communication

Nice-to-Have

• Experience with generative AI or LLM-based applications
• Exposure to MLOps stacks (MLflow, DVC, Weights & Biases, etc.)
• Portfolio of past work (GitHub, case studies, etc.) or open-source projects
• Familiarity with project scoping and estimation
• Experience in a consulting or client-facing role delivering tailored AI solutions
• Working knowledge of data privacy, model governance, and responsible AI practices

Location: Lahore, Pakistan (Remote option for exceptional candidates)
Type: Full-Time (Contract considered)

Role Overview

We’re seeking an AI/LLM Engineer with deep expertise in generative AI, including large language models (LLMs), transformers, and prompt engineering. You’ll work on end-to-end solution design—from model selection, data ingestion, and fine-tuning to deployment and optimization—ensuring performance meets business-defined precision standards while staying within client budget and infrastructure boundaries.

You must be able to translate complex business needs into practical, scalable, and cost-effective AI solutions, with a strong focus on delivering high accuracy and precision aligned with client expectations. Demonstrable past projects are a must.

Key Responsibilities

• Design, prototype, and deliver production-ready LLM-based solutions for diverse business problems
• Fine-tune and prompt engineer open-source or commercial models and optimize pipelines for efficiency, accuracy, and cost
• Evaluate and improve model outputs based on user feedback, accuracy, precision, and latency. Monitor, evaluate, and improve model performance post-deployment
• Integrate LLMs into custom applications using APIs or open-source frameworks
• Work closely with business stakeholders to understand requirements and translate them into AI-driven solutions
• Identify and implement strategies to align solutions with client budgets and infrastructure constraints
• Stay up to date with the latest advancements in LLMs, transformers, vector databases, and retrieval-augmented generation (RAG)
• Document solution architecture, testing strategy, and performance benchmarks
• Radiate positive energy to peers and clients and be a positive change agent
• Document work clearly and contribute to knowledge sharing across the team
• Maintain a safe working and thriving work environment
• Stay current with industry trends, tools, and best practices in data science and analytics

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
• 3+ years of experience delivering AI or ML solutions, with a minimum of 1–2 years specializing in LLMs or Generative AI
• Hands-on experience with model fine-tuning, prompt engineering, and optimization techniques (quantization, distillation, etc.)
• Strong coding skills in Python and familiarity with popular LLM frameworks (Hugging Face Transformers, LangChain, etc.)
• Solid understanding of evaluation techniques for generative models (e.g., BLEU, ROUGE, hallucination detection)
• Experience with LLM deployment, including API integration, containerization, and cloud platforms
• Ability to optimize models for performance, accuracy, and cost-efficiency
• Understanding of vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines
• Familiarity with MLOps and best practices for scalable AI deployments
• Strong analytical mindset and creative approach to solving open-ended problems
• Experience working in a consulting or client-facing role
• Strong problem-solving skills and crystal-clear client-facing communication

Nice-to-Have

• Experience with open-source LLMs (e.g., LLaMA, Mistral, Falcon) and fine-tuning techniques (e.g., LoRA, QLoRA, PEFT)
• Portfolio of past work (GitHub, case studies, etc.) or open-source projects
• Familiarity with project scoping and estimation
• Experience in a consulting or client-facing role delivering tailored AI solutions
• Working knowledge of data privacy, model governance, and responsible AI practices

Location: Lahore, Pakistan Type: Full-Time (Contract considered)

Role Overview

We’re looking for a seasoned Solution Architect (Data & AI) who can lead the design and delivery of scalable, cost-effective solutions that marry data infrastructure with AI capabilities. You will be client-facing and deeply involved in all stages—discovery, architecture, implementation oversight, and post-deployment refinement. The ideal candidate has a strong background in data architecture, machine learning and deep learning systems, and cloud platforms, with the ability to balance technical excellence and business pragmatism. You should be able to showcase real-world projects and post-deployment monitoring, optimization, and value delivery.

Key Responsibilities

• Engage with clients to understand their business context, requirements, and constraints.
• Design and architect end-to-end data and AI solutions that are scalable, secure, and aligned with client objectives and budgets.
• Design technical architectures for data platforms, AI services, and hybrid deployments, aligned with scalability and cost constraints.
• Collaborate with engineering teams to ensure design feasibility and drive execution quality.
• Ensure performance, reliability, and governance of deployed solutions through monitoring and ongoing optimization.
• Present technical solutions and trade-offs to both technical and non-technical stakeholders.
• Oversee implementation milestones and conduct post-deployment performance monitoring and iterative enhancements.
• Assist in scope, cost estimation and project planning.
• Document solution architecture, testing strategy, and performance benchmarks.
• Radiate positive energy to peers and clients and be a positive change agent.
• Document work clearly and contribute to knowledge sharing across the team.
• Maintain a safe working and thriving work environment.
• Stay current with industry trends, tools, and best practices in data science and AI/ML/LLM.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of experience in data and AI solution architecture, preferably in consulting or cross-domain roles.
• Strong understanding of AI/ML systems design, data modeling, cloud-native architecture, and modern data platforms.
• Proven experience guiding engineering teams in implementation and operationalization.
• Demonstrated ability to balance technical sophistication with budget and ROI constraints.
• Familiarity with Snowflake, data lake architecture, and at least one major cloud ecosystem (AWS, GCP, Azure).
• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps practices.
• Strong client communication, technical writing, and solution estimation skills.
• Portfolio of projects showcasing architectural decisions and outcomes (optional but strongly preferred).

Nice-to-Have

• Hands-on exposure to data engineering and AI deployment models (LLMs, prompt workflows, RAG).
• Certifications in cloud architecture or AI/ML (AWS Solutions Architect, GCP Professional ML Engineer, etc.).
• Experience in a consulting or client-facing role delivering tailored AI solutions.
• Working knowledge of data privacy, model governance, and responsible AI practices.

Location: Lahore, Pakistan
Type: Full-Time

Role Overview

We’re looking for an Operations Coordinator with a hands-on approach and strong attention to detail, who thrives in fast-paced, interdisciplinary environments. This role is ideal for someone who understands the moving pieces behind successful consulting operations—ranging from business development support and documentation to process coordination and file management.

Key Responsibilities

• Assist in daily business operations, including scheduling, file repository management, and process tracking
• Coordinate internal projects and ensure alignment across delivery, marketing, and business development teams
• Support the creation and editing of documentation, proposals, technical briefs, and reports
• Help maintain operational systems including CRM tools, workflow trackers, and shared drives
• Collaborate with leadership to manage timelines, team communications, and task prioritization
• Assist in outbound outreach coordination for marketing or partnership initiatives

Required Qualifications

• 3+ years of experience in business or operations coordination, preferably in a tech or consulting environment
• Familiarity with tools like Microsoft Office, Google Workspace, task/project managers (e.g., Notion, Trello, Asana), and document repositories (e.g., SharePoint, GitHub, or similar)
• Exceptional organizational and time-management skills with attention to detail
• Strong written communication and organizational skills
• Proactive mindset, with the ability to juggle multiple workflows and meet deadlines
• Experience working in cross-functional teams, with comfort interfacing across technical and non-technical groups
• Ability to work independently, manage multiple priorities, and drive tasks to completion
• Strong interpersonal skills and a collaborative mindset

Nice-to-Have

• Experience supporting business development, sales operations, or digital marketing teams
• Familiarity with AI, data science, or professional services environments
• Ability to improve internal SOPs or implement light process automation