senior software engineer analytics

SplashBI

<p></p><div><div><div><h3 class="jobSectionHeader"><b>Splash Business Intelligence</b></h3><p>
Data Reporting &amp; Analytics Software</p>
<div><div>http://www.splashbi.com</div>
<div>04067979934</div>
<div>http://careersindia@splashbi.com</div>
</div></div></div><div><p>Job Description</p>
<p>
We are looking for an experienced AI/ML engineer to design and develop machine learning models for an innovative AI-powered consumer application that reviews contracts and assists with taxes. You will work closely with domain experts and software engineers to deliver accurate and user-friendly AI solutions.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop and optimise machine learning models.</li>
<li>Collaborate with domain experts to integrate product-specific knowledge into AI models.</li>
<li>Implement natural language processing (NLP) techniques for document review and extraction.</li>
<li>Ensure scalability, accuracy, and performance of the AI models.</li>
<li>Stay updated on AI advancements and integrate relevant technologies.</li>
</ul>
<p><b>Required Skills:</b></p>
<ul>
<li>Proficiency in Python, Pandas, TensorFlow, PyTorch, and Generative AI.</li>
<li>Experience building AI agents using standard frameworks like Langchain, LangGraph, Pydantic AI, N8N, or Crew AI is required.</li>
<li>Strong background in natural language processing (NLP/NLU)</li>
<li>Experience with large language models (LLMs), prompt engineering, and fine-tuning techniques.</li>
<li>Familiarity with data preprocessing and annotation for unstructured data.</li>
<li>Ability to deploy models in a cloud-based environment (GCP, AWS). Proficiency in Vertex AI is preferred.</li></ul></div></div><p></p>
<br><div></div><ul><div><div><div><h6 class="jobSectionHeader"><b>Career Level</b></h6>
<div><ul><div>Senior</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Experience</b></h6>
<div><ul><div>5-6 Years</div><div>6-7 Years</div><div>8-9 Years</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Qualification</b></h6>
<div><ul><div>Master Degree</div></ul></div></div></div></div></ul>

Senior AI/ML Engineer

EPAM Systems

<div><p>We are looking for a <b>Senior Data Analytics and Visualization Engineer</b> with a passion for data to join our team of professionals.</p><p>
In this senior position, you will work with clients from various business sectors such as Finance, Telecom, Media, Insurance, Oil &amp; Gas, Pharma, and others, delivering impactful data solutions.</p><p><b>
Responsibilities</b></p><ul><li>
Lead the design and development of advanced dashboards and reports to ensure high-quality data visualization</li><li>
Architect and implement complex data models and oversee data preparation, profiling, and quality assurance</li><li>
Analyze business challenges and technical environments to provide strategic recommendations</li><li>
Oversee security management and administration of the reporting environment to ensure compliance with industry standards</li><li>
Make architectural decisions and manage testing processes to align with best practices and organizational objectives</li><li>
Act as the primary contact for product owners, gather requirements, facilitate demo sessions, and mentor junior team members</li><li>
Contribute to the improvement of analytics processes, tools, and methodologies</li></ul><p><b>
Requirements</b></p><ul><li>
3+ years of experience with reporting tools such as Power BI (preferred), Tableau, Looker, Qlik Sense, Tibco Spotfire, or similar</li><li>
Expertise in Data Analytics and Data Visualization concepts</li><li>
Background in developing complex reports and dashboards for enterprise environments</li><li>
Knowledge of Databricks, Snowflake, Fabric, MySQL</li><li>
Understanding of data architecture concepts including landing and staging areas, data cleansing, profiling, security, and modern data platforms such as DWH, Data Lake, Delta Lake/Lakehouse, Datamart</li><li>
Familiarity with Cloud technologies such as AWS, Azure, GCP</li><li>
Skills in data product testing and validation</li><li>
Capability to lead and work effectively in agile development environments such as SCRUM and Kanban</li><li>
Understanding of CI/CD principles and best practices</li><li>
English proficiency at Upper-Intermediate level or higher</li></ul><p><b>
Nice to have</b></p><ul><li>
Background in designing and building ETL pipelines</li><li>
Skills in Python programming</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Senior Data Analytics and Visualization Engineer

DXC Technology

<div><p><b>Job Description:</b></p><p><b><i>
Senior Data Engineer:</i></b></p><p><i>
The Senior Data Engineer will be responsible for driving the solution design and delivery of self-service BI and analytics by implementing modern data solutions on the Azure Databricks platform. The role focuses on building efficient, scalable ELT/ETL data pipelines, robust data ingestion, transformation, and orchestration processes, and enforcing data quality controls using Databricks and DBT as the core technologies&mdash;leveraging the broader Azure data ecosystem to deliver curated, analytics-ready datasets.</i></p><p></p><p><b><i>
Mandatory Requirements:</i></b></p><p><i>
1. 5+ years of experience in Big Data technologies with strong proficiency in Azure Databricks, PySpark/SQL, and DBT for end-to-end data pipeline design and transformation.
</i></p><p><i>2. Hands-on expertise in Azure Data Engineering services including ADLS, Azure Data Factory, Azure Synapse, Delta Lake, and Azure DevOps for CI/CD automation.
</i></p><p><i>3. Demonstrated ability to build and optimize scalable ELT/ETL workflows leveraging Databricks and DBT for data modeling, transformations, and orchestration across diverse data sources.
</i></p><p><i>4. Proven experience in implementing data quality, lineage, and governance using Unity Catalog. Strong background in data architecture including star/snowflake schema design, data partitioning, and performance optimization in Databricks.
</i></p><p><i>5. Proficiency in integrating and curating data from structured and unstructured sources, ensuring reliability, security, and cost efficiency</i></p><p></p><p><b><i>
Basic Qualifications:</i></b></p><p><i>
1. Bachelor&rsquo;s or master&rsquo;s degree in computer science or a related discipline.
</i></p><p><i>2. Good communication &amp; Interpersonal skills to interact with customers and partner teams.</i></p><p><i>
3. Must be a quick learner &amp; Self-starter who requires minimal supervision.</i></p><p></p><p>
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.</p><p></p><p><b>
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available</b> here<b><i>.</i></b></p></div><p></p>

Sr Analyst I Software Engineering

Pfizer

<div><div>Use Your Power for Purpose</div><div>
The Global Commercial Analytics (GCA) team within the organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world.</div><div>
As Senior Associate, Analytics Developer, you will play a pivotal, hands-on role creating the data solutions that fuel our most advanced AI and analytics applications. By collaborating closely with subject matter experts and data scientists, you will develop the robust data models, pipelines, and feature stores required to power everything from statistical analysis to complex AI and machine learning models.</div><div></div><div>
Your primary mission is to build the data foundation for high-impact projects such as ROI analysis, Field Force sizing, On demand analytics, Data Strategy.</div><div>
You will be central to delivering new, innovative capabilities by enabling the deployment of cutting-edge AI and machine learning algorithms, directly helping the business solve its most challenging problems and create value.</div><div>
This is a dynamic, fast-paced, and highly collaborative role, covering a broad range of strategic topics critical to the pharma business.</div><div></div><div>
What You Will Achieve</div><ul><li><div>
Advanced Layer Development: Leads the development of core data components for our advanced analytics layer and agentic data layers, enabling next-generation analytics and AI tools.</div></li><li><div>
Data Strategy Execution: Works closely with cross-functional teams to help execute the enterprise Data Strategy, translating roadmaps into technical designs and building solutions using standard technology stacks.</div></li><li><div>
Building AI &amp; RAG Pipelines: Designs and builds end-to-end data pipelines and products specifically to power advanced AI and Retrieval-Augmented Generation (RAG) applications for the Commercial Pharma domain.</div></li><li><div>
Enabling Advanced Analytics: Builds the clean, reliable data foundation that enables the use of statistical analysis, machine learning, and AI models like RAG to uncover patterns and insights.</div></li><li><div>
Business Impact: Delivers the high-quality, performant data that forms the basis of meaningful recommendations and drives concrete strategic decisions for brand and commercial strategy.</div></li><li><div>
Innovation: Stays abreast of analytical trends and cutting-edge applications of data science and AI, including RAG and agentic systems, actively applying new techniques and tools to improve data pipelines.</div></li><li><div>
Quality &amp; Governance: Implements and adheres to best practices in data management, model validation, and ethical AI, maintaining high standards of quality and compliance in all developed solutions.</div></li></ul><div></div><div>
Here Is What You Need (Minimum Requirements)</div><ul><li><div>
Bachelor&rsquo;s, Master&rsquo;s in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field.</div></li><li><div>
3-5 years of experience in Data or Analytics Engineering.</div></li><li><div>
Strong Python Skills: Proven ability to write clean, performant, and maintainable Python for data engineering, with proficiency in libraries like Polars, Pandas and Numpy.</div></li><li><div>
Modern Data Stack &amp; Systems: Extensive hands-on experience with large-scale distributed systems, including dbt, Airflow, Spark, and Snowflake.</div></li><li><div>
Data Modeling &amp; Databases: A strong background in building and managing complex data models and warehouses, with experience across both SQL and NoSQL databases.</div></li><li><div>
Data Quality &amp; Observability: Experience implementing and managing frameworks for data quality testing, observability, and alerting.</div></li><li><div>
Modern Software Development: Solid experience with modern software development workflows, including Git, CI/CD, and Docker, to automate analytics processes.</div></li></ul><div></div><div>
Bonus Points If You Have (Preferred Requirements)</div><ul><li><div>
Pharma Analytics: Experience with pharmaceutical data and a track record of delivering business impact in the commercial pharma sector.</div></li><li><div>
Data Engineering Best Practices: Experience with performance tuning, cost optimization, and managing large-scale data infrastructure.</div></li><li><div>
Dashboard Development: Experience building dashboards using tools like Tableau, Power BI, or Streamlit.</div></li><li><div>
Business Communication: The ability to explain data limitations and how they affect business questions to non-technical audiences.</div></li></ul><div><br>
<br>
Work Location Assignment: Hybrid</div><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>
Marketing and Market Research</div><div></div>

Senior Associate, Analytics Developer

metropolis

<div><h3 class="jobSectionHeader"><b>Who we are</b></h3>
<p>
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just &quot;drive in and drive out.&quot; We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.</p>
<h3 class="jobSectionHeader"><b>
What you'll do</b></h3>
<p>
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.</p>
<h3 class="jobSectionHeader"><b>
What we're looking for</b></h3>
<ul><li>5+ years experience with data/analytics engineering</li>
<li>5+ years of experience with Python and SQL (preferably Snowflake)</li>
<li>3+ years of experience with dbt (dbt certification a plus)</li>
<li>Owned large-scale data projects that drove significant impact across the company by effectively partnering with engineering, data analysts, data scientists, and other business stakeholders</li>
<li>Mentored other stakeholders in Data Science/Analytics, PM, and Engineering on data best practices</li>
<li>Led the design, implementation, and monitoring of large-scale data warehouses and data marts that enable clear product-focused insights</li>
<li>An expert at SQL, window functions, STRUCT/ARRAY manipulation, and query optimization</li>
<li>Promoted performance best practices for your tables depending on the database engine (partitions, sort keys, dist keys, clustering, incremental modeling)</li>
<li>Designed systems with a test-driven approach in mind to trap bad quality data or highlight alerts as part of your data flow</li>
<li>Familiarity with ELT (Extract, Load, Transform) processes and tools to prepare and clean data for analysis</li>
<li>Skill in using tools like dbt to build data transformation pipelines</li>
</ul><h3 class="jobSectionHeader"><b>Our Stack</b></h3>
<ul><li>Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)</li>
<li>Datastores: MySQL, PostgreSQL, Snowflake</li>
<li>Cloud: AWS</li>
<li>Version control: Git &amp; GitHub</li>
<li>AI Tooling: Copilot on GitHub</li>
<li>Observability: Datadog</li>
</ul>
<p></p><p><i>When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. </i><i>#LI-SR1 #LI-Onsite</i></p><div><p><i>
Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection</i></p>
<p><i>
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.</i></p>
<p><i>
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.</i></p>
<p><i>
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.</i></p></div></div>

Senior Analytics Engineer

Etisalat

<div><div><b>Analytics &amp; Data Science Senior Analyst.Enterprise Information Management</b> <b>-</b> <b>(</b><b>250002S9</b><b>)</b></div><div><b>
Description</b><div></div><p><b><br>
Job Purpose</b></p><p>
Analytics and Data Science Senior Analyst will assist in using data analytics different approaches to deliver effective results and develop machine learning models to serve a variety of domains to deliver ever improving outcomes for our customers. The ideal candidate combines strong business acumen, extensive experience in machine learning applications along with a passion for tech.</p><p><b>
Report To Position Name</b></p><p>
Apply your expertise in Machine Learning or relevant techniques to leverage data and business principles to create and drive large scale analytics solutions. Use analytical models to identify insights that are used to drive key decisions across the organization. Work cross-industry to define problem statements, collect data, build analytical models and make recommendations. Build and maintain data driven optimization models, experiments, forecasting algorithms and capacity constraint models. Leverage tools like Python, R, Scala, Tableau, Hadoop &amp; SQL to drive efficient analytics. Routinely communicate metrics, trends and other key indicators to senior leadership. Lead and support various ad hoc projects, as needed. Partner with customers on projects to identify and articulate opportunities, see beyond the data to identify solutions that will raise the bar for decision making. Work with customers to translate data and model results into tactical and strategic insights that are accurate, relevant, understandable and influence client decision-making. Collaborate with customers&rsquo; cross-functional data teams across business applications to access and manipulate data, explain data gathering requirements, display results, and build efficient and scalable analytics solutions. Be a self-starter, motivated by a passion for developing the best possible solutions to problems. Mentor and lead others as needed on best practices for design and implementation of cutting-edge analytics solutions.</p><div><br>
</div></div><div><b>
Qualifications</b><div></div><p><b><br>
QUALIFICATIONS_ESSENTIAL</b></p><p>
Bachelor Degree</p><p><b><br>
QUALIFICATIONS_DESIRABLE</b></p><p>
N/A</p><p><b><br>
EXPERIENCE_ESSENTIAL</b></p><p>
Minimum 0 to 2 years of experience<br>
<br>
</p><p><b>EXPERIENCE_DESIRABLE</b></p><p>
N/A</p><p><b><br>
CERTIFICATIONS_ESSENTIAL</b></p><p>
N/A</p><div><br>
</div></div><div><b>
Job</b><b>:</b> Senior Analyst</div><div><b>
Organization</b><b>:</b> Etisalat-Misr</div><div><b>
Job Posting</b><b>:</b> 05/Nov/2025, 7:17:06 AM</div></div>

Analytics & Data Science Senior Analyst.Enterprise Information Management

Apple

<p>Geospatial data engineering defines real-world user experiences through Maps. As we make the Maps experience more intelligent and context-aware, it becomes central to delivering precision and confidence; helping users seamlessly search, find, and reach the exact place or address they intend to go. Whether it&rsquo;s powering navigation, enabling detailed address search, enhancing map display, or driving rich interactions with places, our work builds the intelligence behind these crucial experiences. This foundation supports hundreds of millions of Apple Maps users every day, crafting how they explore and connect with the world around them.<br>
<br>
<b>Description</b><br>
As a Machine Learning Engineer on the Maps Data Engineering team, you&rsquo;ll design and deploy advanced models that fuse satellite imagery, aerial photos, behavioral signals, rich map metadata, and hundreds of internal data sources to power next-generation user experiences. You&rsquo;ll also pioneer the development of generative AI-driven multi-agent systems capable of dynamic reasoning, evaluation, and self-improvement-scaling the accuracy, precision, and quality of map data that millions of users rely on every day.<br>
<br>
This role offers the opportunity to solve some of the most complex real-world challenges at the intersection of geospatial intelligence, computer vision, large language models, and generative AI.<br>
<br>
At Apple, we create products that enrich people&rsquo;s lives; and we believe even the smallest moments, like arriving confidently at the right destination, are part of that promise. As a member of the Maps Data Engineering team, you&rsquo;ll help transform intricate geospatial systems into seamless, intuitive experiences; turning advanced technology into everyday magic for hundreds of millions of users worldwide.&quot;,&quot;responsibilities&quot;:&quot;As a Senior Machine Learning Engineer, you will be a technical leader responsible for the entire lifecycle of our data intelligence systems.<br>
<br>
ARCHITECT AND OWN PRODUCTION ML SYSTEMS: Lead the full lifecycle of ML solutions from research and prototyping through deployment, monitoring, and large-scale optimization.<br>
<br>
Ensure reliability, efficiency, and measurable impact of production ML systems.<br>
<br>
DRIVE DATA INTELLIGENCE WITH ADVANCED MODELS: Develop and fine tune sophisticated models, including LLMs/transformers and computer vision models, to extract insights, detect anomalies, and improve geospatial data quality.<br>
<br>
Design and operationalize generative AI driven multi-agent systems capable of reasoning, evaluating, and self-improving at scale.<br>
<br>
LEAD MULTI-FUNCTIONAL INNOVATION: Collaborate with data engineers, product managers, and operations teams to translate complex business needs into scalable technical solutions.<br>
<br>
Integrate ML systems seamlessly into the broader Maps ecosystem to enhance navigation, search, and place experiences.<br>
<br>
ELEVATE ENGINEERING PERFECTION: Champion standard processes in ML engineering and MLOps, including reproducibility, monitoring, and CI/CD for ML.<br>
<br>
Mentor and guide other engineers, fostering a culture of technical rigor, innovation, and continuous improvement.<br>
<br>
<b>Preferred Qualifications</b><br>
A track record of publications in credible machine learning conferences (e.g., NeurIPS, ICML, ACL) or relevant journals<br>
<br>
Contributions to publicly available models or a strong performance record on Kaggle or other machine learning competitions.<br>
<br>
Past experience working directly with geospatial data, mapping technologies, or location-based services.<br>
<br>
A strong conceptual understanding of distributed data and compute systems, event streaming platforms (e.g., Kafka), and modern data storage formats.<br>
<br>
Advanced degree (MS/PhD or equivalent experience) in Computer Science, Machine Learning, AI, or related field or equivalent practical experience.<br>
<br>
<b>Minimum Qualifications</b><br>
5+ years of experience in machine learning engineering or applied data science, with a consistent record of delivering production-grade ML systems.<br>
<br>
8+ years of software product engineering experience.<br>
<br>
Strong background in machine learning, computer vision, NLP, or generative AI, with hands-on expertise applying these techniques to large-scale data.<br>
<br>
Deep familiarity with LLMs, transformers, and the HuggingFace ecosystem; ability to fine-tune, optimize, and deploy models in production.<br>
<br>
Proven grounding in statistical modeling, design, and predictive analytics to drive decisions.<br>
<br>
Expert-level proficiency in Python and command of data science libraries (e.g., NumPy, Pandas, Polars, Scikit-learn) and ML frameworks (PyTorch, TensorFlow).<br>
<br>
Proficiency in data visualization for analysis, model diagnostics, and communicating sophisticated findings (e.g., Matplotlib, Seaborn, Plotly).<br>
<br>
Excellent communication, leadership, and mentoring skills, with the ability to guide junior engineers and collaborate effectively across diverse teams.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</p>

Senior Machine Learning Engineer - Maps Data

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