ai data engineer

Deloitte

<div><div><div><b>Location
</b></div><p>Cairo, Egypt Delivery Center
</p></div><div><div><p><b>Deloitte Innovation Hub I AI &amp; Data Engineer, Cairo, Egypt</b></p><p><b>
Deloitte</b><b>, </b>established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.</p><p>
Deloitte innovation hub (DIH) is a strategic initiative/priority established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across Portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.</p><p>
We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.</p><p><b>
Connect to your career at Deloitte</b></p><p>
Deloitte drives progress. Using our vast range of expertise, that covers audit, risk advisory, and consulting services across tax, legal, business, technology, and corporate finance, we help our clients&rsquo; become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.</p><p>
What brings us all together at Deloitte? It&rsquo;s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, <b>we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact.</b> These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.</p><p><b>
Connect to your opportunity</b></p><p>
We are looking for candidates that have a variety of experience across the following areas</p><ul><li>
Conduct data analysis to identify insights and trends.</li><li>
Develop and deploy machine learning models.</li><li>
Collaborate with data engineers to ensure data availability and quality.</li><li>
Provide recommendations for AI strategy and implementation.</li><li>
Stay updated on the latest AI and data science developments.</li><li>
Assist clients in understanding and interpreting AI and data-driven insights.</li><li>
Troubleshoot and debug AI algorithms as needed.</li><li>
Document and communicate project progress and results to clients.</li></ul><p><b>
Connect to your skills and professional experience</b></p><ul><li><b>
Education:</b> A bachelor's or higher degree in a relevant field such as computer science, data science, or machine learning.</li><li><b>
Experience:</b></li><ul><li>
Significant experience in data analysis, data science, and machine learning.</li><li>
Proficiency in programming languages like Python and R.</li><li>
Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>
Strong understanding of statistical concepts and modelling techniques.</li><li>
Familiarity with data pre-processing and cleaning.</li><li>
Knowledge of popular machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>
Experience deploying machine learning models in production.</li><li>
Certifications: Relevant certifications like AWS Machine Learning, Google Cloud AI, or Microsoft Certified: Azure AI Engineer can be beneficial.</li></ul></ul><p><b>
Connect to your service line &ndash; Technology and Transformation</b></p><p>
Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.</p><p><b>
Personal independence</b></p><p>
Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your &quot;Immediate Family Members&quot; are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.</p><p><b>
Connect to your Industry</b></p><p>
&ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;</p><ul><li>Dan, Technology &amp; Transformation</li></ul><p><b>
Connect with your colleagues</b></p><p>
Location: Cairo. Egypt</p><p>
Your Work, Your Way: We call our hybrid working vision Deloitte Works. And it does. We trust you to make the right choices around where, when, and how you work. You&rsquo;ll be able to make decisions about how you work best, to be collaborative, learn from colleagues, share your experiences, build the relationships that will fuel your career and prioritise your wellbeing. Having great conversations with your team and your leadership paves the way for great collaborative ways of working.</p><p><b>
Connect to your agile working options</b></p><p>
Your Work, Your Way: We call our hybrid working vision Deloitte Works. And it does. We trust you to make the right choices around where, when, and how you work. You&rsquo;ll be able to make decisions about how you work best, to be collaborative, learn from colleagues, share your experiences, build the relationships that will fuel your career and prioritise your wellbeing. Having great conversations with your team and your leadership paves the way for great collaborative ways of working</p><p><b>
Our commitment to you</b></p><p>
Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.</p><p>
We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.</p><p>
Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.</p><p><b>
Connect to your next step</b></p><p>
A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.</p><p></p><p><br>
Scan the QR code or click on the below link to complete your assessment and then click on apply!</p><b>
Assessment Link</b><div></div><div><p><br>
#LI-DNI</p></div></div></div></div><p></p>

Deloitte Innovation Hub I Engineerex Summit 2025 I AI & Data Engineer, Cairo, Egypt

ms techfort

<p><b>Experience:</b> 4+ Years<br/><b>Location:</b> Bhubaneswar (Onsite)<br/><b>CTC:</b> Up to 12 LPA</p><p>Job Summary</p><p>We are seeking an experienced <b>Snowflake Data Engineer</b> with a strong understanding of <b>Generative and Agentic AI concepts</b>. The ideal candidate will work at the intersection of data engineering and AI-driven solutions, ensuring scalable, responsible, and business-aligned data platforms.</p><p>Key Responsibilities</p><ul><li>Design, develop, and optimize data solutions using <b>Snowflake Data Warehouse</b>.</li><li>Support AI-driven initiatives by enabling high-quality, scalable, and well-governed data pipelines.</li><li>Collaborate with business and technical stakeholders to align <b>AI capabilities with business objectives</b>.</li><li>Implement and manage <b>data integration and ETL processes</b> from multiple data sources.</li><li>Ensure database performance tuning, cost optimization, and efficient data modeling.</li><li>Support <b>AI evaluation frameworks</b>, prompt engineering workflows, and data readiness for GenAI use cases.</li><li>Perform application testing, debugging, and issue resolution across data workflows.</li><li>Ensure responsible data usage, security, and compliance best practices.</li><li>Work within cloud environments and support data solutions deployed on cloud platforms.</li></ul><p>Required Skills &amp; QualificationsMust Have Skills</p><ul><li>Minimum <b>4 years of hands-on experience with Snowflake Data Warehouse</b>.</li><li>Strong understanding of <b>Generative AI and Agentic AI concepts</b>, including prompt engineering.</li><li>Ability to evaluate AI outputs and support <b>AI evaluation frameworks</b>.</li><li>Experience aligning technical solutions with business goals and value realization.</li></ul><p>Good to Have Skills</p><ul><li>Experience with <b>data integration tools and ETL processes</b>.</li><li>Strong knowledge of <b>database management, performance tuning, and optimization</b>.</li><li>Familiarity with <b>cloud computing concepts and services</b>.</li><li>Experience in <b>application testing and debugging methodologies</b>.</li></ul><p>Educational Qualification</p><ul><li><b>15 years of full-time education</b> is mandatory.</li></ul><p>Additional Information</p><ul><li>This position is <b>based at our Bhubaneswar office</b>.</li><li>Candidates should be comfortable working in an <b>onsite model</b>.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: Up to ₹1,200,000.00 per year</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Work Location: In person</p>

Snowflake Data Warehouse

Pfizer

<div></div><div><div>ROLE SUMMARY</div><div></div><div>
The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial. AIA works in tight collaboration with various Pfizer functions to deploy and maintain production-grade AI solutions that simplify how we work and drive measurable value across all processes.</div><div>
As a Data engineer in the newly formed AIA team, you should be able to design build, integrate, curate, and operationalize data and models into a semantic layer to power AI-enabled products. Additionally, you need to ensure interpretability, lineage of reusable data assets and uphold the bar on governance, performance measurement, and responsible AI</div><div></div><div>
Data Pipeline Development</div><ul><li><div>
Design and build the semantic layer that enables contextualized and explainable AI-driven workflows, including ontology development, entity models and knowledge graphs</div></li></ul><ul><li><div>
Build robust data pipelines to ingest, transform and prepare structured and unstructured datasets from diverse internal and external sources e.g. CRM platforms (e.g., Veeva) and field force deployment or alignment tools, HCP engagement data, digital metrics, and campaign data sources.</div></li></ul><ul><li><div>
Ensure data is clean, normalized, and optimized for downstream AI/ML and analytics use.</div></li></ul><div></div><div>
Infrastructure &amp; Architecture</div><ul><li><div>
Develop and manage data infrastructure using cloud platforms (e.g., AWS, Azure, GCP).</div></li><li><div>
Implement data lake, data warehouse, and real-time streaming architecture.</div></li><li><div>
Support containerization and orchestration using data management tools</div></li><li><div>
Enable real-time and batch data access for AI agents, LLM-based applications and analytical products</div></li></ul><div></div><div>
 Data Quality &amp; Governance</div><ul><li><div>
Implement data validation, profiling, and monitoring processes to ensure accuracy and reliability.</div></li><li><div>
Collaborate with compliance teams to ensure data handling aligns with HIPAA, FDA, and other U.S. healthcare regulations.</div></li><li><div>
Maintain metadata, lineage, and audit trails for all data assets.</div></li></ul><div>
Collaboration &amp; Cross-Functional Support</div><ul><li><div>
Collaborate with data scientists, ML engineers and product managers to optimize data for use in RAG, autonomous AI agents and retrieval pipelines</div></li><li><div>
Translate business needs into technical specifications for data ingestion and transformation.</div></li><li><div>
Support rapid prototyping and iterative development of AI solutions.</div></li></ul><div>
Performance Optimization</div><ul><li><div>
Tune data workflows for performance, scalability, and cost-efficiency.</div></li><li><div>
Implement caching, indexing, and partitioning strategies to support high-volume data processing.</div></li><li><div>
Monitor system health and troubleshoot bottlenecks in data pipelines.</div></li></ul><div>
Documentation &amp; Knowledge Sharing</div><ul><li><div>
Maintain clear documentation for data architecture, pipelines, and operational procedures.</div></li><li><div>
Share best practices and mentor junior data engineers.</div></li><li><div>
Contribute to internal data engineering communities and innovation forums.</div></li></ul><div></div><div>
BASIC QUALIFICATIONS</div><ul><li><div>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</div></li><li><div>
5+ years of experience in data engineering, preferably in healthcare or life sciences.</div></li><li><div>
Proficiency in SQL, Python, and data pipeline frameworks (e.g., Apache Airflow, Spark, Kafka).</div></li><li><div>
Experience with cloud data platforms (e.g., AWS Redshift, Azure Synapse, Google BigQuery).</div></li><li><div>
Hands-on experience with pipeline orchestration (e.g. Airflow, DBT, Prefect ,Dagster)</div></li><li><div>
Familiarity with MLOps and LLMOps(e.g. MLflow, Vertex AI, Langchain, LlamaIndex)</div></li><li><div>
Excellent problem-solving, communication, and collaboration skills.</div></li><li><div>
Extensive experience working in agile setting or bring agile best-practice mentorship to the team.</div></li><li><div>
Familiarity with data privacy standards, pharma industry practices/GDPR compliance is preferred.</div></li><li><div>
Prioritizes excellence in Data Engineering by following F.A.I.R. principles and adhering to engineering and documentation standards set for by the organization.</div></li></ul><div></div><div>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Information &amp; Business Tech</div><div></div>

Manager Data Engineer

<div></div><div><div>ROLE SUMMARY</div><div></div><div>
The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial. AIA works in tight collaboration with various Pfizer functions to deploy and maintain production-grade AI solutions that simplify how we work and drive measurable value across all processes.</div><div>
As a Data engineer in the newly formed AIA team, you should be able to design build, integrate, curate, and operationalize data and models into a semantic layer to power AI-enabled products. Additionally, you need to ensure interpretability, lineage of reusable data assets and uphold the bar on governance, performance measurement, and responsible AI</div><div></div><div>
Data Pipeline Development</div><ul><li>
Build the semantic layer that enables contextualized and explainable AI-driven workflows, including ontology development, entity models and knowledge graphs</li></ul><ul><li>
Build robust data pipelines to ingest, transform and prepare structured and unstructured datasets from diverse internal and external sources e.g. CRM platforms (e.g., Veeva) and field force deployment or alignment tools, HCP engagement data, digital metrics, and campaign data sources.</li></ul><ul><li>
Ensure data is clean, normalized, and optimized for downstream AI/ML and analytics use.</li></ul><div></div><div>
Infrastructure &amp; Architecture</div><ul><li>
Develop and manage data infrastructure using cloud platforms (e.g., AWS, Azure, GCP).</li><li>
Implement data lake, data warehouse, and real-time streaming architecture.</li><li>
Support containerization and orchestration using data management tools</li><li>
Enable real-time and batch data access for AI agents, LLM-based applications and analytical products</li></ul><div></div><div>
 Data Quality &amp; Governance</div><ul><li>
Implement data validation, profiling, and monitoring processes to ensure accuracy and reliability.</li><li>
Collaborate with compliance teams to ensure data handling aligns with HIPAA, FDA, and other U.S. healthcare regulations.</li><li>
Maintain metadata, lineage, and audit trails for all data assets.</li></ul><div>
Collaboration &amp; Cross-Functional Support</div><ul><li>
Collaborate with data scientists, ML engineers and product managers to optimize data for use in RAG, autonomous AI agents and retrieval pipelines</li><li>
Support rapid prototyping and iterative development of AI solutions.</li></ul><div>
Performance Optimization</div><ul><li>
Tune data workflows for performance, scalability, and cost-efficiency.</li><li>
Implement caching, indexing, and partitioning strategies to support high-volume data processing.</li><li>
Monitor system health and troubleshoot bottlenecks in data pipelines.</li></ul><div></div><div>
BASIC QUALIFICATIONS</div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
Upto 4 years of experience in data engineering, preferably in healthcare or life sciences.</li><li>
Proficiency in SQL, Python, and data pipeline frameworks (e.g., Apache Airflow, Spark, Kafka).</li><li>
Experience with cloud data platforms (e.g., AWS Redshift, Azure Synapse, Google BigQuery).</li><li>
Familiarity with pipeline orchestration (e.g. Airflow, DBT, Prefect,Dagster)</li><li>
Excellent problem-solving, communication, and collaboration skills.</li><li>
Extensive experience working in agile setting or bring agile best-practice mentorship to the team.</li><li>
Familiarity with data privacy standards, pharma industry practices/GDPR compliance is preferred.</li><li>
Prioritizes excellence in Data Engineering by following F.A.I.R. principles and adhering to engineering and documentation standards set for by the organization.</li></ul><div></div><div>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Information &amp; Business Tech</div><div></div>

Senior Associate Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.
<br>
<br>
You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.<br>
<br>
Key job responsibilities<br>
<ul><li>Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
</li><li>Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches</li><li>Analyze and extract insights from large amounts of data
</li><li>Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language</li><li>Use modeling tools to bootstrap or test new AI functionalities
</li><li>Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models
</li></ul><br>
About the team<br>
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development</li><li>Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)</li><li>2+ years experience in computational linguistics or language data processing or AI data creation</li><li>Experience with language data annotation systems and other forms of data markup</li><li>Proficient with scripting languages, such as Python</li><li>Experience working with speech, text, and multimodal data in multiple languages</li><li>Excellent communication, strong organizational skills and very detailed oriented</li><li>Comfortable working in a fast paced, highly collaborative, dynamic work environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computational Linguistics (or equivalent field with computational emphasis)</li><li>Expertise in bootstrapping AI data collections for quickly evolving requirements, including for complex agentic functions</li><li>Practical experience with Machine Learning and technical concepts such as APIs</li><li>Practical knowledge of version control, agile development, database queries and data analysis processes (SQL, R, Matlab, etc.)</li><li>Able to think creatively and possess strong analytical and problem solving skills</li></ul><br>
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.</div>

Language Engineer, Artificial General Intelligence - Data Services

Beckman Coulter Diagnostics

<div><p>At first glance, you&rsquo;ll see Danaher&rsquo;s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms&mdash;life sciences, diagnostics, and biotechnology.</p><p>
Look again and you&rsquo;ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You&rsquo;ll find associates who are as certain about their impact as they are about where they&rsquo;re headed next.</p><p>
You&rsquo;ll find the Danaher Business System, which makes everything possible. You&rsquo;ll also see a company that investors trust&mdash;our culture of continuous improvement has helped us outperform the S&amp;P 500 by more than 5,000% over the past 25 years.</p><p>
Danaher&rsquo;s India Development Center - IDC is a research and development center with the vision of accelerating product roadmaps across various Danaher business segments. Started in 2014, the center now hosts 700+ associates, for multiple Danaher operating companies focusing on Diagnostics, Life Science, and Environmental and Applied Science segments. The operating companies include Beckman Coulter, Radiometer, Leica Biosystems, Digital Teams, Leica Microsystems, HemoCue, Phenomenex SCIEX and Cepheid.</p><p>
The IDC workforce comprises of various product engineering teams, working on development of software and hardware components of cutting-edge products for, Immunoassay, Chemistry, Hematology, Molecular diagnostics, Oncology, Neurosurgery etc,. IDC has evolved as center of excellence for Cloud and data analytics, with significant contributions to the key informatics solutions. The teams consist of highly hardworking software &amp; hardware engineers and development managers. The teams are supported by local Product managers, Quality &amp; Regulatory and Intellectual property specialists.</p><p>
The inhouse teams works in close coordination with other global R&amp;D centers at US, France, Germany, Japan, Australia, Denmark and Sweden. Located at the center of Bangalore IT HUB, IDC is housed at state of art facility.</p><p></p><p>
The <b>Senior Data Engineer- AI </b>at Danaher Enterprise AI team, Molecular Design supporting the development of scalable data pipelines and infrastructure to enable AI driven molecular design across the organization. This role is based in India, Bangalore working onsite and will report through the aligned business and organizational structure.</p><p><b>
In this role, you will have the opportunity to:</b></p><p></p><ul><li><b>
Support data integration efforts</b> by collaborating with scientists, bioinformaticians, and AI engineers to ensure data is accessible, well-structured, and ready for downstream modeling and analysis.</li><li><b>
Build and maintain data pipelines</b> to ingest, transform, and store structured and unstructured biological data from various sources including wet lab experiments, public databases, and internal platforms.</li><li><b>
Implement data quality checks</b> and validation routines to ensure reliability and reproducibility of datasets used in molecular design workflows.</li><li><b>
Contribute to infrastructure</b> development by assisting in the setup and optimization of cloud-based data platforms and tools for scalable storage and compute.</li><li><b>
Document workflows and processes</b> to support reproducibility, collaboration, and knowledge sharing across teams.</li></ul><p></p><p><b>
The essential requirements of the job include:</b></p><ul><li>
Bachelor&rsquo;s or Master with 8+ years of experience in Computer Science, Data Science, Bioinformatic, Information Technology, Engineering or related field</li><li>
5+ years of experience in data engineering or data platform development or bioinformatics, preferably supporting AI/ML workloads</li><li>
Proficiency in Python and SQL, with experience in data pipeline frameworks (e.g., Argo, NextFlow, Valohai, Airflow, Luigi), parallelization in Python (Joblib, Dask, Ray, etc.)</li><li>
Experience with cloud data platforms (AWS, Azure, or GCP, Snowflake) and related services (e.g., S3, Redshift, BigQuery, Synapse)</li><li>
Hands-on experience with data pipeline orchestration tools (e.g., Airflow, Prefect, Azure Data Factory).</li><li>
Familiarity with data Lakehouse architectures and distributed systems</li><li>
Working knowledge of containerization and CI/CD (Docker, Kubernetes, GitHub Actions, etc.).</li><li>
Experience with APIs, data integration, and real-time streaming pipelines (Kafka, Kinesis, Pub/Sub)</li></ul><p></p><p><b>
It would be a plus if you also possess previous experience in:</b></p><ul><li>
Experience working with biological or molecular data (e.g., genomic sequences, protein structures, assay results).</li><li>
Familiarity with data formats and standards used in life sciences (e.g., FASTA, VCF, PDB).</li><li>
Exposure to AI/ML workflows and collaboration with data science teams.</li><li>
Strong understanding of data security, compliance, and governance frameworks</li><li>
Excellent collaboration and communication skills with the ability to work across technical and business teams</li></ul><p>
Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.</p><p></p><p>
For more information, visit www.danaher.com.</p></div>

Senior Data Engineer - AI

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.
<br>
<br>
You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.<br>
<br>
Key job responsibilities<br>
<ul><li>Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
</li><li>Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches</li><li>Analyze and extract insights from large amounts of data
</li><li>Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language</li><li>Use modeling tools to bootstrap or test new AI functionalities
</li><li>Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models
</li></ul><br>
About the team<br>
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development</li><li>Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)</li><li>2+ years experience in computational linguistics or language data processing or AI data creation</li><li>Experience with language data annotation systems and other forms of data markup</li><li>Proficient with scripting languages, such as Python</li><li>Experience working with speech, text, and multimodal data in multiple languages</li><li>Excellent communication, strong organizational skills and very detailed oriented</li><li>Comfortable working in a fast paced, highly collaborative, dynamic work environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computational Linguistics (or equivalent field with computational emphasis)</li><li>Expertise in bootstrapping AI data collections for quickly evolving requirements</li><li>Extensive experience working with speech, text, and multimodal data in multiple languages</li><li>Experience in data creation for complex agentic workflows</li><li>Practical experience with Machine Learning and technical concepts such as API</li><li>Practical knowledge of version control and agile development; familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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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.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $67,700/year in our lowest geographic market up to $151,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

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