machine learning data engineer

Contour Software

<div><p><b>About Contour</b></p><p></p><p>
Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</p><p><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</p><p><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</p><p></p><div><div><p><b>
The Division:</b><br>
Constellation Payments is a leading global gateway and merchant services provider with special expertise in software integration and recurring transactions representing a wide variety of verticals &ndash; including government entities, municipalities, moving and storage, club management, attractions, fitness, martial arts, event registration and hospitality management.</p></div><p></p><div><p><b>
The Position:</b><br>
We are looking for a Data Engineer to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.</p></div><div><p>
The selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&amp;D department.</p></div><p></p><div><p><b>
Role and Responsibilities:</b></p></div><div><ul><li><p>
Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.</p></li></ul></div><div><ul><li><p>
Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.</p></li></ul></div><div><ul><li><p>
Develop and expand the organization&rsquo;s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling.</p></li></ul></div><div><ul><li><p>
Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.</p></li></ul></div><div><ul><li><p>
Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.</p></li></ul></div><div><ul><li><p>
Build a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations.</p></li></ul></div><div><ul><li><p>
Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.</p></li></ul></div><div><ul><li><p>
Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.</p></li></ul></div><p></p><div><p><b>
Required Skills:</b></p></div><div><ul><li><p>
Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.</p></li></ul></div><div><ul><li><p>
Hands on experience with Apache Airflow for designing and managing complex data workflows.</p></li></ul></div><div><ul><li><p>
Deep understanding of data warehouse concepts, architectures, and structures.</p></li></ul></div><div><ul><li><p>
Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.</p></li></ul></div><div><ul><li><p>
Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.</p></li></ul></div><div><ul><li><p>
Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.</p></li></ul></div><div><ul><li><p>
Proficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services.</p></li></ul></div></div><div><div><ul><li><p>
Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.</p></li></ul></div><div><ul><li><p>
Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB</p></li></ul></div><div><ul><li><p>
Experience integrating Python applications with RESTful APIs and external services</p></li></ul></div><div><ul><li><p>
Deep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys.</p></li></ul></div><div><ul><li><p>
Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.</p></li></ul></div><div><ul><li><p>
Familiarity with machine learning concepts and their application to data cleaning and integration tasks.</p></li></ul></div><div><ul><li><p>
Advanced English proficiency, with excellent communication skills for collaborating with stakeholders</p></li></ul></div></div><p></p><p><b>
Exciting Benefits we offer:</b></p><ul><li><p>
Market-leading Salary</p></li><li><p>
Medical Coverage &ndash; Self &amp; Dependents</p></li><li><p>
Parents Medical Coverage</p></li><li><p>
Provident Fund</p></li><li><p>
Employee Performance-based bonuses</p></li><li><p>
Home Internet Subsidy</p></li><li><p>
Conveyance Allowance</p></li><li><p>
Profit Sharing Plan [Tenured Employees Only]</p></li><li><p>
Life Benefit</p></li><li><p>
Child Care Facility</p></li><li><p>
Company Provided Lunch/Dinner</p></li><li><p>
Professional Development Budget</p></li><li><p>
Recreational area for in-house games</p></li><li><p>
Sporadic On-shore training opportunities</p></li><li><p>
Friendly work environment</p></li><li><p>
Leave Encashment</p></li></ul><p></p><p><b><i>
Disclaimer:</i></b><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></p><p></p><p><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></p></div><p></p>

Data Engineer

Interact Technology Solutions

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The
 <strong>
  Senior AI Data Engineer
 </strong>
 is responsible for designing, building, and optimizing enterprise-scale data and AI infrastructure to support machine learning models, generative AI applications, and real-time analytics. The role drives the development of end-to-end data pipelines, from ingestion to production-ready AI data products, ensuring scalability, performance, and compliance across multi-cloud environments.
 <br/>
 <br/>
 <strong>
  Accountability &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable ETL/ELT data pipelines using modern data engineering tools (e.g., Apache Spark, dbt).
  </li>
  <li>
   Architect and implement Lakehouse data platforms (Delta Lake, Apache Iceberg, Apache Hudi) following Medallion architecture (Bronze/Silver/Gold).
  </li>
  <li>
   Develop real-time streaming pipelines using Apache Kafka, Apache Flink, and Spark Structured Streaming.
  </li>
  <li>
   Build and optimize AI/GenAI data pipelines for LLM training, fine-tuning, and inference (tokenization, dataset curation, prompt engineering datasets).
  </li>
  <li>
   Design and implement Retrieval-Augmented Generation (RAG) pipelines, including embedding workflows and vector database integration.
  </li>
  <li>
   Manage feature stores for real-time and batch machine learning use cases.
  </li>
  <li>
   Integrate data pipelines with AI/ML platforms (Databricks MLflow, Azure ML, AWS SageMaker, Vertex AI, OpenAI/Azure OpenAI).
  </li>
  <li>
   Implement data orchestration workflows using Apache Airflow or similar tools with CI/CD pipelines.
  </li>
  <li>
   Ensure data quality, governance, and security using frameworks such as Great Expectations and data catalog tools.
  </li>
  <li>
   Deploy and manage infrastructure using Infrastructure-as-Code tools (Terraform, Bicep, CDK).
  </li>
  <li>
   Collaborate with Data Scientists, ML Engineers, and Solution Architects to deliver production-ready AI solutions.
  </li>
  <li>
   Lead technical design decisions, mentor junior engineers, and contribute to data platform strategy.
  </li>
  <li>
   Maintain documentation, data contracts, and operational runbooks for all pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  1
 </strong>
 &ndash; Required Experience
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.
  </li>
  <li>
   4&ndash;5 years of experience in data engineering, with strong exposure to AI/ML data infrastructure.
  </li>
  <li>
   Proven experience building scalable data pipelines and working with large-scale datasets.
  </li>
  <li>
   Hands-on experience with AI/ML platforms and modern data architectures.
  </li>
  <li>
   Experience in regulated industries (e.g., Banking, Telecom, Healthcare) is a plus.
  </li>
  <li>
   Strong problem-solving, analytical thinking, and communication skills.
  </li>
  <li>
   Experience working in cross-functional teams and agile environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  2&ndash; Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong SQL and advanced data modeling techniques
  </li>
  <li>
   Apache Spark (PySpark, Spark SQL, Streaming)
  </li>
  <li>
   Python (pandas, PySpark, data processing libraries)
  </li>
  <li>
   Data pipeline orchestration (Apache Airflow)
  </li>
  <li>
   CI/CD for data pipelines (GitHub Actions / Azure DevOps)
  </li>
  <li>
   Lakehouse architectures (Delta Lake / Iceberg / Hudi)
  </li>
  <li>
   Streaming technologies (Kafka, Flink)
  </li>
  <li>
   Cloud platforms (AWS / Azure / GCP)
  </li>
  <li>
   Vector databases (Pinecone, Weaviate, pgvector, OpenSearch)
  </li>
  <li>
   RAG pipeline design and LLM data processing
  </li>
  <li>
   Infrastructure-as-Code (Terraform / Bicep / CDK)
  </li>
  <li>
   Containers (Docker, Kubernetes)
  </li>
  <li>
   Data quality &amp; governance tools
  </li>
 </ul>
</div>


Senior AI Data Engineer

Lockheed Martin

<div><p><b>JOB ID:</b> 727225BR</p>
<p><b>Date posted:</b> May. 06, 2026</p>
<br>
<p><b>Description:</b></p>We are seeking a senior‑level AI Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions that fuel AI/ML initiatives across the organization. The ideal candidate will have a proven track record of delivering enterprise‑grade data platforms, strong expertise with SAP HANA and modern cloud data services, and recent experience in AI/ML workflows (e.g., data preparation for model training, feature stores, model‑ready data delivery).<br>
<br>
Key Responsibilities<br>
<ul><li>Design, build, and maintain secure data pipelines for classified AI/ML workloads</li><li>Design and implement ontology-driven data models to support knowledge representation and reasoning</li><li>Collaborate with data scientists, analysts, and mission stakeholders to operationalize AI models and knowledge graphs</li><li>Implement rigorous data validation, lineage, and governance controls in compliance with security requirements</li><li>Collaboration with data architects and data analysts to develop a solution across the entire data processing pipeline</li><li>Experience working with business stakeholders to develop and deploy data analytics solutions and/or custom software application solutions and leading teams to implement these solutions</li><li>Optimize performance and reliability of large-scale data systems under constrained environments</li><li>Mentor junior engineers and uphold secure coding and engineering best practices</li><li>Responsible for collecting, ingesting, processing, and storing large datasets from a wide variety of data sources and stakeholders</li><li>Able to perform impact analysis including lineage, upstream and downstream dependencies.
</li><li>Support after hours on-call operations on a rotation basis</li><li>US Citizenship</li></ul><br>
#EBDT<br>
<p><b>Basic Qualifications:</b></p><br>
<ul><li>Degree in Computer Science, Systems Engineering, or related field</li><li>10+ years of experience in data engineering, including 3+ years supporting AI/ML systems - traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)
</li><li>5+ years of experience in data analysis, data/system architecture
</li><li>Experience in gathering requirements and understanding business processes</li><li>Strong proficiency in Python, NiFi, SQL</li><li>Experience with distributed data processing frameworks (e.g., Spark or similar)</li><li>Hands-on experience building ETL/ELT pipelines at scale</li><li>Familiarity with secure cloud environments (e.g., AWS GovCloud, Azure Government) or on-prem systems</li><li>Understanding of data security principles, including encryption, access control</li><li>Familiar with Safe Agile framework</li></ul><p><b>
Desired Skills:</b></p><br>
<ul><li>Experience designing and building ontologies, taxonomies, or knowledge graphs</li><li>Demonstrate ability to establish strong team relationships and deliver an exceptional customer experience</li><li>Excellent organizational, time management, analytical and problem-solving skills</li><li>Master&rsquo;s degree in a related technical field</li></ul><p><b>
Clearance Level:</b></p>None<br>
<p><b>Other Important Information You Should Know</b></p><br>
<p><b>Expression of Interest:</b></p>By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.<br>
<p><b>Ability to Work Remotely:</b></p>Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.<br>
<p><b>Work Schedules:</b></p>Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.<br>
<p><b>Schedule for this Position:</b></p>4x10 hour day, 3 days off per week<br>
<b>Pay Rate:</b> The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $131,000 - $227,125. For states not referenced above, the salary range for this position will reflect the candidate&rsquo;s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br>
<b>Benefits offered:</b> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.<br>
This position is incentive plan eligible.<br>
<b>Pay Rate:</b> The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $113,900 - $200,905. For states not referenced above, the salary range for this position will reflect the candidate&rsquo;s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br>
<b>Benefits offered:</b> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
<br>
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.<br>
This position is incentive plan eligible.<br>
<b>Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.</b><br>
<b>The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.</b><br>
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
<br>
<br>
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.<br>
<br>
If this sounds like a culture you connect with, you&rsquo;re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.<br>
<p><b>Experience Level:</b></p>Experienced Professional<br>
<p><b>Business Unit:</b></p>ENTERPRISE BUSINESS SERVICES<br>
<p><b>Relocation Available:</b></p>No<br>
<p><b>Career Area:</b></p>Information Technology<br>
<p><b>Type:</b></p>Full-Time<br>
<p><b>Shift:</b></p>First</div>
<br><div><p>At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges.</p>
<p><b>Pioneering Defense Technology:</b> From aerospace to outer space to cyber space, you can innovate mission solutions alongside the best minds in the business.</p>
<p><b>United By Culture:</b> Excellence, integrity, and collaboration define us. We accelerate change and embrace one another&rsquo;s perspectives to win for our customers.</p>
<p><b>Real Impact, Real Growth:</b> Grow your career and skills for life. Our wide array of opportunities and technology-driven learning programs enable your development and agility.</p>
<p><b>Your Health, Your Wealth, Your Life:</b> Competitive pay, comprehensive benefits and flexible schedules designed so you thrive &mdash; at work and beyond.</p>
<p><b>Empowered to Be Your Best:</b> Use your strengths to make a difference in the lives of one another, our customers, our communities, and our planet.</p>
<p>Here, the possibilities are endless because we offer:</p>
<div></div><ul><div>Flexible Schedules, dependent on role</div>
<div></div><div>Levels: Student, Entry, Mid, Senior, Management</div>
<div></div><div>Locations: Nationwide &amp; OCONUS Positions</div></ul></div>

AI Data Engineer Stf

Feedzai

<div><div><p>Feedzai is the world's first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today's most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world's largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.</p></div><p>
The <b>Customer Success Professional Services Team</b> is responsible for leading the activation and post-activation for all Feedzai clients. We work cross-functionally across Feedzai and with our clients to collaborate and create seamless transitions throughout our client lifecycle. We take accountability, ownership and are tenacious as we execute strategies to help our clients achieve success. The challenges we tackle are complex, but we don't stop pushing forward until we overcome them. As a result, we're empowered to spark change every day, influencing the trajectory of our company and ourselves.</p><br>
<p><b>
You:</b><br>
We are looking for a <b>Project Manager</b> who has strong engagement skills, communicates clearly and demonstrates strong passion for successful business value and project delivery. You will combine tactical execution skills with strategic expertise to lead cross-functional teams through the entire project lifecycle. Being the client's primary point of contact, you should be able to handle multiple priorities and hold accountability for project execution.</p>
<p>
We expect you to continuously evolve your professional skills through trainings, self-development and, most importantly, by successfully delivering complex projects.</p><br>
<p><b>
Your Day to Day:</b></p>
<ul>
<li>Lead one or more projects by coordinating between external client(s) and internal cross-functional teams consisting of technical roles in a multicultural environment;</li>
<li>Have a 'leadership mindset' - Lead a project from start to finish, working with teammates from strategy, business analysis, engineering and quality assurance. Shepherd the team through challenges and ambiguity;</li>
<li>Lead every aspect of the project including but not limited to budget, timeline/scope, resource capacity / allocation, change management.</li>
<li>Prepare and conduct project meetings with the clients, including Show and Tells, Product Demos, Scoping Workshops and Steering Meetings.</li>
<li>Senior Stakeholder communication - present weekly meetings to clients and also Steering Committee meetings to Senior client stakeholder to communicate progress and risks at a Project &amp; Program level and drive decisions</li>
<li>Be 'value driven' - Ensure project roadmap supports the Customer Success team and business objectives to lead to 'value' beyond Delivery</li>
<li>Risk management - Effectively assess project risks, both technical and non-technical in nature, and deploy mitigation plans, internally and with clients;</li>
<li>Lead internal ceremonies - Dailies, Refinements and drive decisions and conclusions with cross-functional teams and leaders</li>
<li>Consultative Mindset - Learn over time the client's considerations and advise them on the right solutions while managing expectations</li>
<li>Product - Our Product is key to the success of our clients. Learn the Product effectively and engage constructively and regularly with the Product team</li>
</ul>
<p><b>You Have and Know-how:
</b></p><ul><li>MSc or BSc degree in Computer Science, Engineering, Technology or a similar degree;</li>
<li>One or more of the following certifications: PMP, CSM, PSM, CSPO, KMP;</li>
<li>Willingness to travel 20% of the project time;</li>
<li>Experience with the full Software Development Life Cycle (SDLC), managing fast-paced projects in both Agile (Scrum) and waterfall environments;</li>
<li>Skills in leadership, adaptability, problem solving, and critical thinking;</li>
<li>Be solution oriented, and when issues arise, be able to roll up sleeves and tackle them with a 'get it done' attitude;</li>
<li>Ability to cultivate relationships with clients, while managing expectations and being able to push-back when necessary, to ensure the success of the project;</li>
<li>Experience of managing projects for external clients;</li>
<li>Experience leading large discovery workshops and project kick-offs;</li>
<li>Experience with JIRA</li><br>
</ul>
<p><b>The Customer Success Team </b>is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. <b>Join Us!</b><br>
<br>
#LI-BX1 #LI-Remote</p><p></p><div>
<p><b>
Your First 30-Days at Feedzai:</b></p>
<p>
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!</p>
<p>
Life at Feedzai Instagram</p>
<p>
Feedzai Culture</p>
<p></p>
<p><b>Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</b></p>
<p><b>
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.</b></p>
<p><b>
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.</b></p></div></div><p></p>

Technical Project Manager

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div>The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.</div>
</div><div><div><h2 class="jobSectionHeader"><b>Job Description - Grade Specific</b></h2>
</div><div>Plays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.</div></div></div></div></div></div></div>

Lead Machine Learning Engineer

Qureos

<p><strong>AI Engineer</strong><br /><br /><strong>Company:** Qureos</strong><br /><strong>Location:** Karachi, Pakistan</strong><br /><strong>Employment Type:** Full-Time</strong><br /><br /><strong>About Qureos</strong><br /><br /><strong>Qureos is a dynamic and forward-thinking organisation dedicated to shaping the future of career development. We are committed to empowering professionals by connecting them with meaningful opportunities, mentorship, and the skills needed to thrive in a competitive landscape. Our innovative platform leverages technology to bridge the gap between talent and industry, and we are now seeking a talented AI Engineer to join our pioneering team.</strong><br /><br /><strong>Job Overview</strong><br /><br /><strong>We are looking for a highly skilled and motivated AI Engineer to join our team in Karachi. The ideal candidate will be passionate about artificial intelligence and its application in solving real-world challenges. You will play a crucial role in designing, developing, and deploying cutting-edge AI and machine learning models that power our platform's core features, from intelligent job matching and skill analysis to personalised career guidance. This is an exciting opportunity to make a significant impact within a growing company at the forefront of the EdTech and recruitment industries.</strong><br /><br /><strong>Responsibilities</strong><br /><br /><strong>- Design, build, and deploy robust machine learning models to enhance our platform's capabilities.</strong><br /><strong>- Develop and refine recommendation systems to accurately match candidates with relevant job opportunities, projects, and mentors.</strong><br /><strong>- Utilise Natural Language Processing (NLP) techniques to analyse and interpret data from resumes, job descriptions, and user interactions.</strong><br /><strong>- Collaborate with cross-functional teams, including software engineers, product managers, and data scientists, to integrate AI solutions into our products.</strong><br /><strong>- Manage the end-to-end lifecycle of AI models, including data collection, preprocessing, training, evaluation, and deployment.</strong><br /><strong>- Stay current with the latest advancements in AI, machine learning, and deep learning to drive continuous innovation.</strong><br /><strong>- Ensure the ethical and responsible use of AI, maintaining fairness and avoiding bias in all models.</strong><br /><strong>- Optimise AI models for performance, scalability, and efficiency.</strong><br /><br /><strong>Qualifications</strong><br /><br /><strong>- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.</strong><br /><strong>- Proven commercial experience as an AI Engineer, Machine Learning Engineer, or in a similar role.</strong><br /><strong>- Strong programming proficiency in Python and extensive experience with key AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn.</strong><br /><strong>- Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modelling.</strong><br /><strong>- Experience with data processing and analysis using tools like Pandas and NumPy.</strong><br /><strong>- Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and MLOps practices is highly desirable.</strong><br /><strong>- Excellent problem-solving abilities and a creative, analytical mindset.</strong><br /><strong>- Strong communication skills and the ability to work effectively in a collaborative team environment.</strong><br /><br /><strong>Benefits</strong><br /><br /><strong>- A competitive salary and comprehensive benefits package.</strong><br /><strong>- Opportunities for professional development and continuous learning.</strong><br /><strong>- A vibrant and supportive work culture that encourages innovation and collaboration.</strong><br /><strong>- The chance to work on meaningful projects that directly impact people's careers.</strong><br /><strong>- Flexible and modern working environment.</strong></p>

AI Engineer

DevsOrb

<p><b>Job Overview</b></p><p>We are looking for a talented and detail-oriented Python engineer with 3&ndash;5 years of experience to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and data-driven solutions. You will work closely with data scientists, engineers, and product teams to build scalable ML systems that deliver business value.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and deploy machine learning models and algorithms</li><li>Build and maintain scalable data pipelines and ML workflows</li><li>Perform data preprocessing, feature engineering, and model evaluation</li><li>Integrate machine learning models into production systems and APIs</li><li>Optimize models for performance, scalability, and accuracy</li><li>Work with large datasets and ensure data quality and integrity</li><li>Collaborate with cross-functional teams including data analysts, engineers, and product managers</li><li>Monitor and maintain deployed models, including retraining and performance tracking</li><li>Document processes, models, and system architecture</li><li>Stay up to date with the latest advancements in machine learning and AI</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field</li><li>3&ndash;5 years of hands-on experience in Python and machine learning development</li><li>Strong proficiency in <b>Python</b> and libraries such as:</li></ul><p>NumPy, Pandas</p><p>Scikit-learn</p><p>TensorFlow or PyTorch</p><ul><li>Solid understanding of machine learning algorithms (supervised &amp; unsupervised learning)</li><li>Experience with data preprocessing, feature engineering, and model tuning</li><li>Strong knowledge of statistics and probability concepts</li><li>Experience in building and consuming REST APIs (Flask/FastAPI/Django)</li><li>Familiarity with databases (SQL/NoSQL)</li><li>Experience with version control systems (Git)</li><li>Understanding of software development best practices and SDLC</li></ul><p>Work Location: In person</p>

Python Engineer

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