machine learning data engineer

Progressive

<div>Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination: Progress. 
 
As an intermediate machine learning data engineer, you&rsquo;ll work on a Claims IT team focused on developing machine learning platform solutions for machine learning operations and deployment. You'll use data-focused software engineering and languages like Python to solve problems with techniques you may need to research, learn, and implement. You&rsquo;ll use your strong technical experience to develop and deploy the machine learning platform. You&rsquo;ll build and deploy these solutions leveraging cloud services and resources from cloud providers. You&rsquo;ll also build out the necessary data pipelines to support Data Science models, enable efficient access to multiple data sources, support packaging and deploying new models or updated models to production, and create the necessary infrastructure needed for model training. 
 
This is a remote position for US based work only. 
Must-have qualifications<ul><li>
Bachelor's Degree or higher in an Information Technology discipline or related field of study and minimum of one year of work experience designing, programming, and supporting software programs or applications.</li><li>
In lieu of degree, minimum of two years related work experience designing, programming, and supporting software programs or applications may be accepted.</li></ul> 

Preferred skills 
<ul><li>
Data focused software engineer with experience integrating cloud services and resources (e.g., AWS - S3, EC2) and with ability to process large volumes of structured and unstructured data</li><li>
Experience with Unix/Shell scripting, Bash, NEO4J, Hadoop, Snowflake or Tecton, Terraform, Docker, highly proficient in Python and experience with one or more parallel computing and/or data manipulation tools (e.g., Ray, Dask, Prefect, Spark, SQL or multiprocessing package)</li><li>
Deployment of machine learning models for real-time use cases and understanding of machine learning algorithms</li><li>
Experience designing and evaluating approaches to high volume real-time data streams</li><li>
CI/CD automation (e.g., Jenkins or Azure DevOps)</li></ul> 
 
Compensation 
<ul><li>
$97,650 - $108,500/year</li><li>
Gainshare annual cash incentive payment up to 30% of your eligible earnings based on company performance</li></ul> 
 
Benefits<ul><li>
401(k) with dollar-for-dollar company match up to 6%</li><li>
Medical, dental &amp; vision, including free preventative care</li><li>
Wellness &amp; mental health programs</li><li>
Health care flexible spending accounts, health savings accounts, &amp; life insurance</li><li>
Paid time off, including volunteer time off</li><li>
Paid &amp; unpaid sick leave where applicable, as well as short &amp; long-term disability</li><li>
Parental &amp; family leave; military leave &amp; pay</li><li>
Diverse, inclusive &amp; welcoming culture with Employee Resource Groups</li><li>
Career development &amp; tuition assistance</li><li>
Onsite gym &amp; healthcare at large locations</li></ul> 
 
Energage recognizes Progressive as a 2025 Top Workplace for: Innovation, Purposes &amp; Values, Work-Life Flexibility, Compensation &amp; Benefits, and Leadership. 
 
Applicants must be authorized to work for any employer in the U.S. without the need or potential need, of current or future sponsorship for employment. Progressive does not hire candidates with (e.g., F-1 CPT, OPT, or STEM OPT, H-1B, O-1, E-3, TN) statuses for this role. 
 
Equal Opportunity Employer 
 
For ideas about how you might be able to protect yourself from job scams, visit our scam-awareness page at https://www.progressive.com/careers/how-we-hire/faq/job-scams/ 
 
#LI-remote</div>

Intermediate Machine Learning Data Engineer

CapTech

<div>
 
 CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
 
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
 
 
 
 
 
 
 Specific responsibilities for the Machine Learning Engineer position include:
 
 
 
 
 
 <ul>
 <li>
 Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
 </li>
 <li>
 Deconstructing client needs into data-driven processes/models and analytical measures.
 </li>
 <li>
 Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
 </li>
 <li>
 Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.
 </li>
 <li>
 Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 <li>
 Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
 </li>
 <li>
 Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
 </li>
 <li>
 Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
 </li>
 <li>
 Proficiency with containerization (e.g., Docker) and microservices.
 </li>
 <li>
 Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
 </li>
 <li>
 Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
 </li>
 <li>
 Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
 </li>
 <li>
 Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
 </li>
 <li>
 Knowledge of DevOps and automation best practices.
 </li>
 <li>
 Knowledge of statistics and statistical modeling methods.
 </li>
 <li>
 Knowledge of model management and model versioning best practices.
 </li>
 <li>
 Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
 </li>
 <li>
 Experience with prompt engineering, MCP and RAG, and agentic AI architectures
 </li>
 <li>
 Strong understanding of conversational UX and prompt evaluation metrics
 </li>
 <li>
 Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
 </li>
 <li>
 Experience with multi-agent orchestration
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Additional Information
 
 
 
 
 We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.
 
 
 
 <ul>
 <li>
 CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
 </li>
 <li>
 Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
 </li>
 <li>
 Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs
 </li>
 <li>
 Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care
 </li>
 <li>
 Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
 </li>
 <li>
 Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
 </li>
 <li>
 Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.
 </li>
 <li>
 401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness
 </li>
 </ul>
 
 CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
 
 
 
 
 At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 
</div>

Machine Learning / Data Science Engineer

Flatgigs

<div>
 FlatGigs is seeking a skilled
 
 Data Engineer (AI and Python)
 
 to join our dynamic team. In this role, you will build and maintain robust data pipelines and infrastructure that power AI-driven applications and analytics. You will work closely with data scientists and AI engineers to support scalable machine learning workflows and drive data innovation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable ETL pipelines using Python to handle large volumes of structured and unstructured data
 </li>
 <li>
 Collaborate with AI teams to develop data solutions that enable efficient model training, evaluation, and deployment
 </li>
 <li>
 Implement data ingestion, cleansing, and transformation processes to ensure high-quality datasets for AI workflows
 </li>
 <li>
 Optimize data workflows and storage solutions for performance and reliability
 </li>
 <li>
 Work with cloud platforms (AWS, Azure, or GCP) to deploy and monitor data pipelines and related infrastructure
 </li>
 <li>
 Maintain documentation and enforce data governance and compliance policies
 </li>
 <li>
 Participate in code reviews, testing, and continuous integration to deliver robust production-ready data solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Data Science, or related field
 </li>
 <li>
 3+ years of professional experience in data engineering with a focus on AI and ML workflows
 </li>
 <li>
 Strong proficiency in Python programming and experience using libraries such as Pandas, NumPy, and Airflow
 </li>
 <li>
 Hands-on experience building and managing ETL/ELT pipelines
 </li>
 <li>
 Good understanding of cloud platforms (AWS, Azure, or GCP) and familiarity with deploying data infrastructure
 </li>
 <li>
 Experience with SQL and NoSQL databases
 </li>
 <li>
 Familiarity with container orchestration tools such as Docker and Kubernetes is a plus
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Knowledge of AI/ML concepts and ability to collaborate effectively with data science teams
 </li>
 <li>
 Experience with distributed data processing frameworks like Apache Spark
 </li>
 <li>
 Understanding of data security, compliance, and best practices in data engineering
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Market Competitive Salary
 
 
 Leaves
 
 
 Health Insurance
 
 
 Hybrid Work Model
</div>

Data Engineer - (AI and Python)

Contour Software

<div>About Contour
Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years. 
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. 
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!<div><div>
The Division: 
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.</div><div>
The Position: 
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.</div><div>
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.</div><div>
Role and Responsibilities:</div><div><ul><li>
Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.</li></ul></div><div><ul><li>
Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.</li></ul></div><div><ul><li>
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.</li></ul></div><div><ul><li>
Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.</li></ul></div><div><ul><li>
Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.</li></ul></div><div><ul><li>
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.</li></ul></div><div><ul><li>
Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.</li></ul></div><div><ul><li>
Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.</li></ul></div><div>
Required Skills:</div><div><ul><li>
Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.</li></ul></div><div><ul><li>
Hands on experience with Apache Airflow for designing and managing complex data workflows.</li></ul></div><div><ul><li>
Deep understanding of data warehouse concepts, architectures, and structures.</li></ul></div><div><ul><li>
Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.</li></ul></div><div><ul><li>
Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.</li></ul></div><div><ul><li>
Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.</li></ul></div><div><ul><li>
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.</li></ul></div></div><div><div><ul><li>
Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.</li></ul></div><div><ul><li>
Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB</li></ul></div><div><ul><li>
Experience integrating Python applications with RESTful APIs and external services</li></ul></div><div><ul><li>
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.</li></ul></div><div><ul><li>
Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.</li></ul></div><div><ul><li>
Familiarity with machine learning concepts and their application to data cleaning and integration tasks.</li></ul></div><div><ul><li>
Advanced English proficiency, with excellent communication skills for collaborating with stakeholders</li></ul></div></div>
Exciting Benefits we offer:<ul><li>
Market-leading Salary</li><li>
Medical Coverage &ndash; Self &amp; Dependents</li><li>
Parents Medical Coverage</li><li>
Provident Fund</li><li>
Employee Performance-based bonuses</li><li>
Home Internet Subsidy</li><li>
Conveyance Allowance</li><li>
Profit Sharing Plan [Tenured Employees Only]</li><li>
Life Benefit</li><li>
Child Care Facility</li><li>
Company Provided Lunch/Dinner</li><li>
Professional Development Budget</li><li>
Recreational area for in-house games</li><li>
Sporadic On-shore training opportunities</li><li>
Friendly work environment</li><li>
Leave Encashment</li></ul>
Disclaimer: 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.
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.</div>

Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are looking for a Data Platform Engineer to build the foundational data systems that power our robotics and machine learning development. In this role, you will design and implement the infrastructure for collecting, storing, processing, and transforming the vast amounts of data generated by our robots&mdash;from sensor telemetry and video streams to operational logs and performance metrics.
 
You'll work closely with ML teams to ensure data is accessible, well-structured, and ready for training. Your work will enable research teams to iterate faster and operations teams to monitor fleet performance as we scale.
 
 
Key job responsibilities 
<ul><li>Design and build scalable data pipelines for ingesting and processing robotics data (sensor streams, video, telemetry, logs)
</li><li>Develop and maintain data storage solutions optimized for diverse data types and access patterns
</li><li>Create tools and APIs for researchers and engineers to efficiently query and analyze large datasets
</li><li>Build real-time data processing systems for monitoring robot fleet performance
</li><li>Build and maintain data transformation pipelines that prepare robotics data for ML training
</li><li>Collaborate with ML and robotics teams to ensure data platforms meet their evolving needs
</li></ul> 
About the team 
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. 
We believe that future won&rsquo;t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We&rsquo;re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products. 
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We&rsquo;re building robots that feel responsive, expressive, and genuinely useful. 
At Fauna, you&rsquo;ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It&rsquo;s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build. 
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we&rsquo;re interested in hearing from you.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree or above in computer science, computer engineering, or related field, or experience in data science, machine learning or data mining</li><li>3+ years of data engineering experience</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience in Kafka, or experience in Hive/Spark/Hbase/Yarn and experience in software development</li><li>Experience with cloud computing technologies</li><li>Knowledge of distributed systems as it pertains to data storage and computing</li><li>Proficiency with data storage technologies (e.g., PostgreSQL, object storage)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working with robotics or IoT data (time-series, video, point clouds)</li><li>Knowledge of streaming architectures and real-time analytics</li><li>Familiarity with ML techniques and how data preparation impacts model training</li><li>Experience with data cataloging, metadata management, and data discovery tools</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 145,300.00 - 196,600.00 USD annually</div>

Data Platform Engineer, Fauna

Job Bank Recruitment Network

DATA ENGINEER &mdash; AI &amp; MODEL TRAININGJob Bank &mdash; AI Business Engine DevelopmentLocation: Remote (Pakistan) Language: Must speak Fluent EnglishSalary: Competitive &mdash; Based on Experience---About Job BankJob Bank is a UK‑focused platform helping people start recruitment and training businesses through two simple annual plans (&pound;100 &amp; &pound;200). We are now building Job Bank AI &mdash; a specialised AI system designed to help users create and scale their own recruitment or training business.Our AI ecosystem includes:<ul><li>Recruitment AI</li><li>Training &amp; Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul>We are building a vertical AI platform, with deep industry‑specific intelligence &mdash; NOT a generic chatbot.This is your opportunity to become a foundational part of a fast‑growing AI product used across the UK.---Role OverviewWe are looking for a Data Engineer who can prepare, structure, clean and optimise datasets for AI fine‑tuning and retrieval systems.Your work will directly power:<ul><li>fine‑tuned recruitment models</li><li>training/course intelligence</li><li>business‑building AI</li><li>outreach and marketing AI</li><li>autonomous AI assistants</li><li>AI-driven games and simulations</li></ul>This role is crucial to the accuracy, reliability and performance of Job Bank AI.---Key ResponsibilitiesData Preparation &amp; Engineering<ul><li>Collect datasets related to recruitment, training, business planning, marketing, and operations</li><li>Clean and standardise raw data (text, CSV, JSON, documents)</li><li>Label and structure data into instruction formats for LLM training</li><li>Build datasets for fine‑tuning small/medium models</li><li>Develop evaluation datasets for model scoring</li></ul>Data Architecture &amp; Pipelines<ul><li>Build and maintain ETL pipelines for AI model ingestion</li><li>Create scalable data workflows to support training cycles</li><li>Manage datasets using tools like Pandas, PySpark or equivalent</li><li>Optimise dataset quality, consistency, and token efficiency</li></ul>Vector Databases &amp; Retrieval<ul><li>Work with embeddings and vector databases (FAISS, Chroma, Pinecone, Weaviate)</li><li>Build and maintain retrieval datasets for RAG systems</li><li>Ensure high‑quality indexing for search, scoring and assistant use</li></ul>AI Model Support<ul><li>Support AI/ML engineers during fine‑tuning cycles</li><li>Prepare domain‑specific datasets for niche models</li><li>Validate and test model outputs against evaluation sets</li><li>Assist with dataset revisions and incremental model improvements</li></ul>Collaboration<ul><li>Work with AI Engineers to support model training</li><li>Work with Full‑Stack Developers to integrate datasets into the platform</li><li>Work directly with the founder to align on roadmap and priorities</li></ul>---Technical Skills (Must Have)Data Engineering<ul><li>Data cleaning, validation, normalisation</li><li>ETL pipeline development</li><li>JSON, CSV, XML processing</li><li>Strong Python (Pandas, NumPy)</li><li>Experience with large text datasets</li><li>Dataset versioning and quality control</li></ul>AI/Data Skills<ul><li>Experience preparing datasets for LLM fine‑tuning</li><li>Understanding of instruction tuning formats</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Chroma)</li><li>RAG data preparation</li><li>Working knowledge of tokenisation and dataset optimisation</li></ul>General<ul><li>Strong attention to detail</li><li>Ability to work quickly and independently</li><li>Fluent English communication skills</li><li>Experience supporting AI development teams</li><li>Ability to think like a product-focused engineer</li></ul>---Bonus Skills (Nice to Have)<ul><li>Experience with recruitment or training datasets</li><li>Knowledge of course design or HR workflows</li><li>Familiarity with LangChain, LlamaIndex, or similar</li><li>Exposure to machine learning pipelines</li><li>Experience working with international/remote teams</li></ul>---What We Offer<ul><li>Competitive salary (based on expertise)</li><li>Long‑term role with growth potential</li><li>Work on a high‑impact AI product</li><li>A stable, ambitious product roadmap</li><li>Flexible remote working</li><li>Supportive, fast‑paced, visionary team</li><li>Opportunity to build category‑defining AI</li></ul>---Why This Role MattersYou will be the engine behind our AI intelligence. Your datasets will shape:<ul><li>how accurately the AI writes job ads</li><li>how well it scores CVs</li><li>how intelligent the business plans are</li><li>how powerful the training/courses become</li><li>how effective the assistants behave</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: Remote

Apple

Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML Data Team of the Intelligent System Experience (ISE) group at Apple. We are responsible for building high quality datasets at scale. Every year, our team produces datasets used in the training of ML and AI-centric features for many Apple products, including iPhone, iPad, Mac, Apple Watch and even AirPods. Our work is used in very visible and critical features, from the wallpaper on your iPhone Lock Screen, to your personalized stickers on iMessage, to Apple Intelligence features such as on-device Genmoji and other visual generative models, to the models that highlight the faces and memories of your loved ones in your Photos app. 
 
We&rsquo;re looking for an exceptional software &amp; data engineer who is passionate about Apple products and values, who has a passion for data operations at scale, is comfortable in a fast paced environment and who is committed to the hard work necessary to continuously improve our ML data pipelines. 
 
We invite you to join us at this exciting time. Grow fast and positively impact multiple critical features from your first day at Apple! 
 
Description 
 
Our team focuses on acquiring, synthesizing, annotating, and ensuring the quality of ML data, driving numerous features in collaboration with R&amp;D teams in Apple&rsquo;s SWE organization.&quot;,&quot;responsibilities&quot;:&quot;Operate and maintain data pipelines to effectively process up to billion-scale multimodal data 
 
Find creative ways to automate workflows or build self service tools, implement a variety of data tools for visualization, compliance and ML enrichment 
 
Help bring frontier generative model and agentic capabilities in our pipelines to further optimize our data operations ; and production-ize synthetic data workflows including orchestration and lineage 
 
Identify opportunities for improvement of internal infrastructure offerings, and influence roadmaps of partner teams to build or improve key components we rely on 
 
Preferred Qualifications 
 
Proven experience designing, automating and scaling large data pipelines (petabyte scale desired) using state of the art processing technologies (eg familiarity with Iceberg, BigQuery, Airflow, Spark, etc.) 
 
Expertise in Python, Go or another modern programming language; you are expected to produce high quality, efficient code and participate in code reviews 
 
Strong ability to design and lead a technical roadmap, work with cross functional teams and a diversity of profiles, proven capacity to influence and build alignment 
 
Demonstrated prior experience in delivering large scale multimodal datasets for foundation models 
 
Self-starter, able to handle ambiguity, comfortable in a fast-pace environment, identify risks, mitigate, and autonomously find the right people and tools to get the job done 
 
Proven track record of mentoring and growing engineers, lift the level of software engineering excellence in a ML data ops team typically focused on short term deliveries 
 
Minimum Qualifications 
 
7+ years of industry experience as a data engineer serving various ML applications (vision domain preferred) 
 
Bachelor's degree in Computer Science or related field 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior ML Data Engineer, ISE

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