Particle41 is looking for a skilled and adaptable Data Engineer (Power BI) to join our growing team. In this role, you will be responsible for building and maintaining scalable ETL/ELT pipelines, optimising data warehouse/lakehouse solutions, and delivering reliable, analysis-ready datasets. You will also play a key role in developing and enhancing Power BI semantic models, dashboards, and reporting solutions, ensuring performance, accuracy, and business relevance. Working closely with product, engineering, and business stakeholders, you’ll deliver end-to-end data and BI solutions that drive meaningful outcomes for our clients. This is a great opportunity to work on impactful projects, solve complex data challenges, and grow in a fast-paced, collaborative environment.
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Data Engineer - PowerBI
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Data Engineer - Power BI
In This Role, You Will:
Data Engineering & Pipeline Development
- Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of data from multiple sources.
- Build and optimize data lakes / data warehouses / lakehouse structures for efficient reporting and analytics.
- Integrate structured and unstructured data from internal and external systems to create a unified and analysis-ready layer.
- Ensure data accuracy, consistency, and completeness through validation, cleansing, transformation, and reconciliation checks.
- Maintain strong documentation for data pipelines, datasets, Power BI models, and reporting logic.
Power BI Reporting & Semantic Modeling (Core Focus)
- Develop and maintain Power BI dashboards and reports for business and leadership stakeholders.
- Build optimized semantic models in Power BI (star/snowflake schema) for performance and scalability.
- Write and optimize DAX measures, calculated columns, and KPIs aligned to business metrics.
- Use Power Query (M) for transformations and ensure reporting datasets are refresh-ready and reliable.
- Manage Power BI deployments via Power BI Service, including scheduled refresh, workspace access, and report sharing.
- Improve dashboard performance by optimizing data model design, relationships, and aggregations.
Requirements Gathering & Business Alignment
- Collaborate with product managers and business stakeholders to gather reporting requirements and translate them into technical deliverables.
- Participate in analysis sessions to understand business needs and propose best-fit BI/data solutions.
- Provide technical recommendations to improve reporting accuracy, usability, and speed of decision-making.
Agile Delivery
- Work in Agile development cycles including sprint planning, daily stand-ups, and sprint reviews.
- Deliver features on time by managing priorities, dependencies, and scope in a fast-paced environment.
Testing, Debugging & Reliability
- Perform thorough testing of pipelines and reports to ensure reliability, performance, and data correctness.
- Write unit tests and validations for transformations and pipeline outputs.
- Conduct integration testing to ensure end-to-end reporting flows work as intended.
- Identify and resolve defects, performance bottlenecks, and model/report issues proactively.
Continuous Improvement & Innovation
- Stay updated on trends in data engineering, BI analytics, and Power BI capabilities.
- Recommend improvements to enhance scalability, maintainability, and performance of the data/reporting ecosystem.
- Continuously optimise existing codebases, ETL processes, and Power BI dashboards for better efficiency.
- Stay familiar with cloud platforms like Azure / AWS / GCP and modern data engineering practices.
Skills and Experience We Value:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer / BI Engineer, with 3+ years of experience.
- Strong proficiency in Power BI, including:
- Data modeling (semantic layer)
- DAX
- Power Query (M)
- Dashboard/report optimization
- Strong hands-on experience with SQL (MySQL / PostgreSQL preferred) and query optimization.
- Proficiency in Python for data transformation, automation, and integrations.
- Experience with data warehousing / lakehouse principles and performance tuning concepts.
- Exposure to tools/technologies such as:
- Databricks, Spark, PySpark
- Pandas
- APIs / data integrations (Flask or similar frameworks)
- Utilities & tools: logging, requests, subprocess, regex, pytest
- Familiarity with Git and modern collaborative development workflows.
- Comfortable working in Linux and writing basic shell scripts.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills and ability to work with cross-functional stakeholders.
- Adaptability and willingness to learn new tools/technologies as needed.
About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence (ELITE)
- E - Empowering: Enabling individuals to reach their full potential
- L - Leadership: Taking initiative and guiding each other toward success
- I - Innovation: Embracing creativity and new ideas to stay ahead
- T - Teamwork: Collaborating with empathy to achieve common goals
- E - Excellence: Striving for the highest quality in everything we do
We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.
We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.
Ready to apply?
Apply to Particle41
Data Engineer
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Data Engineer
Particle41 is seeking a talented and versatile Data Engineer to join our innovative team. As a Data Engineer, you will play a key role in designing, building, and maintaining robust data pipelines and infrastructure to support our clients' data needs. You will work on end-to-end data solutions, collaborating with cross-functional teams to ensure high-quality, scalable, and efficient data delivery. This is an exciting opportunity to contribute to impactful projects, solve complex data challenges, and grow your skills in a supportive and dynamic environment.
In This Role, You Will:
Software Development
- Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process large volumes of data from diverse sources.
- Build and optimize data storage solutions, such as data lakes and data warehouses, to ensure efficient data retrieval and processing.
- Integrate structured and unstructured data from various internal and external systems to create a unified view for analysis.
- Ensure data accuracy, consistency, and completeness through rigorous validation, cleansing, and transformation processes.
- Maintain comprehensive documentation for data processes, tools, and systems while promoting best practices for efficient workflows.
Requirements Gathering and Analysis
- Collaborate with product managers, and other stakeholders to gather requirements and translate them into technical solutions.
- Participate in requirement analysis sessions to understand business needs and user requirements.
- Provide technical insights and recommendations during the requirements-gathering process.
Agile Development
- Participate in Agile development processes, including sprint planning, daily stand-ups, and sprint reviews.
- Work closely with Agile teams to deliver software solutions on time and within scope.
- Adapt to changing priorities and requirements in a fast-paced Agile environment.
Testing and Debugging
- Conduct thorough testing and debugging to ensure the reliability, security, and performance of applications.
- Write unit tests and validate the functionality of developed features and individual elements.
- Writing integration tests to ensure different elements within a given application function as intended and meet desired requirements.
- Identify and resolve software defects, code smells, and performance bottlenecks.
Continuous Learning and Innovation
- Stay updated with the latest technologies and trends in full-stack development.
- Propose innovative solutions to improve the performance, security, scalability, and maintainability of applications.
- Continuously seek opportunities to optimize and refactor existing codebase for better efficiency.
- Stay up to date with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Collaboration
- Collaborate effectively with cross-functional teams, including testers, and product managers.
- Foster a collaborative and inclusive work environment where ideas are shared and valued.
Skills and Experience We Value:
- Bachelor's degree in computer science, Engineering, or related field.
- Proven experience as a Data Engineer, with a minimum of 3 years of experience.
- Proficiency in Python programming language.
- Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.
- Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.
- Utilities & Tools: logging, requests, subprocess, regex, pytest
- ELK stack, Redis, distributed task queues
- Strong understanding of data warehousing/lakehousing principles and concurrent/parallel processing concepts.
- Familiarity with at least one cloud data engineering stack (Azure, AWS, or GCP) and the ability to quickly learn and adapt to new ETL/ELT tools across various cloud providers.
- Familiarity with version control systems like Git and collaborative development workflows.
- Competence in working on Linux OS and creating shell scripts.
- Solid understanding of software engineering principles, design patterns, and best practices.
- Excellent problem-solving and analytical skills, with a keen attention to detail.
- Effective communication skills, both written and verbal, and the ability to collaborate in a team environment.
- Adaptability and willingness to learn new technologies and tools as needed.
About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )
- E - Empowering: Enabling individuals to reach their full potential
- L - Leadership: Taking initiative and guiding each other toward success
- I - Innovation: Embracing creativity and new ideas to stay ahead
- T - Teamwork: Collaborating with empathy to achieve common goals
- E - Excellence: Striving for the highest quality in everything we do
We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.
We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.
Ready to apply?
Apply to Particle41
AI Engineer
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AI Engineer
Role Overview:
As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep-learning models/solutions (including generative-AI) that address complex business problems. You will collaborate with data scientists, data engineers, software engineers and client stakeholders. You will also build scalable pipelines, ensure production readiness, monitor performance and iterate proactively.
In This Role, You Will:
- Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring.
- Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals.
- Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks.
- Develop and integrate AI models into production systems (APIs, microservices, cloud deployments).
- Optimize models/solutions for performance, scalability, robustness and cost-efficiency.
- Monitor models/ solutions’ performance in production (drift, bias, fairness, reliability) and implement remediation.
- Document model design, experiments, data provenance and solution rationale.
- Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas.
- Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results.
Skills and Experience We Value:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- 3+ years of hands-on experience in AI/ML model development and deployment.
- Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph).
- Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows.
- Experience building or fine-tuning Large Language Models (LLMs).
- Experience deploying models into production: building REST APIs, microservices and monitoring.
- Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia etc.
- Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI.
- Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
- Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification, regression, clustering, deep learning, sequence models).
- Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
- Publications, open-source contributions, or personal projects in the AI/ML domain
About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )
E - Empowering: Enabling individuals to reach their full potential. L - Leadership: Taking initiative and guiding each other toward success. I - Innovation: Embracing creativity and new ideas to stay ahead. T - Teamwork: Collaborating with empathy to achieve common goals. E - Excellence: Striving for the highest quality in everything we do.
We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.
We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.
Ready to apply?
Apply to Particle41
Data Engineer
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Data Engineer
Particle41 is seeking a talented and versatile Data Engineer to join our innovative team. As a Data Engineer, you will play a key role in designing, building, and maintaining robust data pipelines and infrastructure to support our clients' data needs. You will work on end-to-end data solutions, collaborating with cross-functional teams to ensure high-quality, scalable, and efficient data delivery. This is an exciting opportunity to contribute to impactful projects, solve complex data challenges, and grow your skills in a supportive and dynamic environment.
In This Role, You Will:
Software Development
- Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process large volumes of data from diverse sources.
- Build and optimize data storage solutions, such as data lakes and data warehouses, to ensure efficient data retrieval and processing.
- Integrate structured and unstructured data from various internal and external systems to create a unified view for analysis.
- Ensure data accuracy, consistency, and completeness through rigorous validation, cleansing, and transformation processes.
- Maintain comprehensive documentation for data processes, tools, and systems while promoting best practices for efficient workflows.
Requirements Gathering and Analysis
- Collaborate with product managers, and other stakeholders to gather requirements and translate them into technical solutions.
- Participate in requirement analysis sessions to understand business needs and user requirements.
- Provide technical insights and recommendations during the requirements-gathering process.
Agile Development
- Participate in Agile development processes, including sprint planning, daily stand-ups, and sprint reviews.
- Work closely with Agile teams to deliver software solutions on time and within scope.
- Adapt to changing priorities and requirements in a fast-paced Agile environment.
Testing and Debugging
- Conduct thorough testing and debugging to ensure the reliability, security, and performance of applications.
- Write unit tests and validate the functionality of developed features and individual elements.
- Writing integration tests to ensure different elements within a given application function as intended and meet desired requirements.
- Identify and resolve software defects, code smells, and performance bottlenecks.
Continuous Learning and Innovation
- Stay updated with the latest technologies and trends in full-stack development.
- Propose innovative solutions to improve the performance, security, scalability, and maintainability of applications.
- Continuously seek opportunities to optimize and refactor existing codebase for better efficiency.
- Stay up-to-date with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Collaboration
- Collaborate effectively with cross-functional teams, including testers, and product managers.
- Foster a collaborative and inclusive work environment where ideas are shared and valued.
Skills and Experience We Value:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven experience as a Data Engineer, with a minimum of 3 years of experience.
- Proficiency in Python programming language.
- Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.
- Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.
- Utilities & Tools: logging, requests, subprocess, regex, pytest
- ELK stack, Redis, distributed task queues
- Strong understanding of data warehousing/lakehousing principles and concurrent/parallel processing concepts.
- Familiarity with at least one cloud data engineering stack (Azure, AWS, or GCP) and the ability to quickly learn and adapt to new ETL/ELT tools across various cloud providers.
- Familiarity with version control systems like Git and collaborative development workflows.
- Competence in working on Linux OS and creating shell scripts.
- Solid understanding of software engineering principles, design patterns, and best practices.
- Excellent problem-solving and analytical skills, with a keen attention to detail.
- Effective communication skills, both written and verbal, and the ability to collaborate in a team environment.
- Adaptability and willingness to learn new technologies and tools as needed.
About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )
- E - Empowering: Enabling individuals to reach their full potential.
- L - Leadership: Taking initiative and guiding each other toward success.
- I - Innovation: Embracing creativity and new ideas to stay ahead.
- T - Teamwork: Collaborating with empathy to achieve common goals.
- E - Excellence: Striving for the highest quality in everything we do.
We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.
We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com
Ready to apply?
Apply to Particle41
Data Engineer (Elasticsearch + Datawarehousing)
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Data Engineer (Elasticsearch + Data warehousing)
Particle41 is seeking a talented and versatile Data Engineer to join our innovative team. As a Data Engineer, you will play a key role in designing, building, and maintaining robust data pipelines and infrastructure to support our clients' data needs. You will work on end-to-end data solutions, collaborating with cross-functional teams to ensure high-quality, scalable, and efficient data delivery. This is an exciting opportunity to contribute to impactful projects, solve complex data challenges, and grow your skills in a supportive and dynamic environment.
In This Role, You Will:
Software Development
- Design, implement, and optimize Elasticsearch clusters for high-performance querying and data retrieval.
- Build and manage Elasticsearch indexes, ensuring data is stored, indexed, and queried efficiently.
- Build and optimize data storage solutions like data lakes and warehouses.
- Integrate structured and unstructured data from various internal and external systems to create a unified view for analysis.
- Ensure data accuracy, consistency, and completeness through rigorous validation, cleansing, and transformation processes.
- Maintain comprehensive documentation for data processes, tools, and systems while promoting best practices for efficient workflows.
Requirements Gathering and Analysis
- Collaborate with product managers, and other stakeholders to gather requirements and translate them into technical solutions.
- Participate in requirement analysis sessions to understand business needs and user requirements.
- Provide technical insights and recommendations during the requirements-gathering process.
Agile Development
- Participate in Agile development processes, including sprint planning, daily stand-ups, and sprint reviews.
- Work closely with Agile teams to deliver software solutions on time and within scope.
- Adapt to changing priorities and requirements in a fast-paced Agile environment.
Testing and Debugging
- Conduct thorough testing and debugging to ensure the reliability, security, and performance of applications.
- Write unit tests and validate the functionality of developed features and individual elements.
- Writing integration tests to ensure different elements within a given application function as intended and meet desired requirements.
- Identify and resolve software defects, code smells, and performance bottlenecks.
Continuous Learning and Innovation
- Stay updated with the latest technologies and trends in full-stack development.
- Propose innovative solutions to improve the performance, security, scalability, and maintainability of applications.
- Continuously seek opportunities to optimize and refactor existing codebase for better efficiency.
- Stay up-to-date with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Collaboration
- Collaborate effectively with cross-functional teams, including testers, and product managers.
- Foster a collaborative and inclusive work environment where ideas are shared and valued.
Skills and Experience We Value:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven experience as a Data Engineer, with a minimum of 3 years of experience.
- Proficiency in Elasticsearch and Python programming language is a must.
- Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.
- Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, Data warehousing/lakehouse, Principles, Database, ORM, Data analysis, Databricks, Pandas, Spark, PySpark, Machine learning, OpenCV, Scikit-learn.
- Utilize Java to build and enhance backend systems, particularly for integration with Elasticsearch and databases.
- Develop APIs, microservices, and automation scripts as needed.
- Utilities & Tools: logging, requests, subprocess, regex, pytest
- ELK stack, Redis, distributed task queues
- Strong understanding of data warehousing/lakehousing principles and concurrent/parallel processing concepts.
- Familiarity with at least one cloud data engineering stack (Azure, AWS, or GCP) and the ability to quickly learn and adapt to new ETL/ELT tools across various cloud providers.
- Familiarity with version control systems like Git and collaborative development workflows.
- Competence in working on Linux OS and creating shell scripts.
- Solid understanding of software engineering principles, design patterns, and best practices.
- Excellent problem-solving and analytical skills, with a keen attention to detail.
- Effective communication skills, both written and verbal, and the ability to collaborate in a team environment.
- Adaptability and willingness to learn new technologies and tools as needed.
About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )
- E - Empowering: Enabling individuals to reach their full potential.
- L - Leadership: Taking initiative and guiding each other toward success.
- I - Innovation: Embracing creativity and new ideas to stay ahead.
- T - Teamwork: Collaborating with empathy to achieve common goals.
- E - Excellence: Striving for the highest quality in everything we do.
We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.
We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.
Ready to apply?
Apply to Particle41
Data Science & Engineering Lead
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Data Science & Engineering Lead
Lead the charge in AI and data innovation as our Data Science & Engineering Lead. Here, you’ll work hands-on with our talented team to build and deploy high-impact ML models, optimize our data systems, and drive actionable insights. If you’re skilled in advanced AI tools like Databricks, Spark, and Azure, and excited to push boundaries in machine learning and engineering, we want you on our team. Join us for meaningful work, a collaborative culture, and competitive benefits.
In This Role, You Will:
- Design and implement supervised and unsupervised ML models (e.g., OLS, Logistic Regression, Ensemble Methods) to solve real-world business problems.
- Lead model development for advanced architectures in neural networks, such as ANN, CNN, RNN, GAN, Transformers, and RESNet.
- Drive NLP advancements with tools like NLTK and neural-based language models.
- Oversee the development of computer vision models, utilizing OpenCV for real-world applications.
- Lead time-series modeling projects for forecasting and anomaly detection.
- Utilize AI techniques like Retrieval-Augmented Generation (RAG), Chain of Thought (CoT), and Model of Alignment (MOA) to enhance model performance.
- Build and maintain scalable data pipelines for both streaming and batch processing.
- Architect and optimize lakehouse solutions using Delta/Iceberg and bronze-silver-gold architectures.
- Lead the development of ETL processes with tools like Airflow, DBT, and Airbyte to support data flow and transformation.
- Design and optimize database models for OLTP and OLAP systems using Snowflake, SQL Server, PostgreSQL, and MySQL.
- Develop NoSQL solutions, leveraging MongoDB, DynamoDB, and ElasticSearch for unstructured data.
- Lead efforts in building cloud infrastructure, particularly in AWS (preferred) or Azure, using services such as Lambda, API Gateway, Batch processing, Kinesis, and Kafka.
- Oversee MLOps pipelines for robust deployment of ML models in production with platforms like Sagemaker, Databricks, and Azure ML Studio.
- Develop and optimize business intelligence dashboards with tools like Tableau, QuickSight, and PowerBI for actionable insights.
- Implement GPU acceleration and CUDA for model training and optimization.
- Mentor junior team members in cutting-edge AI/ML techniques and best practices.
Skills and Experience We Value:
- Proven expertise in both supervised and unsupervised ML, advanced deep learning, including TensorFlow, PyTorch, and neural network architectures (e.g., CNN, GAN, Transformers).
- Hands-on experience with machine learning libraries and tools such as Scikit-learn, Pandas, and Numpy.
- Proficiency in AI model development using LLM libraries (e.g., Langchain, Huggingface, OpenAI).
- Strong MLOps skills, with experience deploying scalable pipelines in production using tools like Sagemaker, Databricks, and Azure ML Studio.
- Advanced skills in big data frameworks like Apache Spark, Glue, and EMR for distributed model training.
- Expertise in ETL processes and data pipeline development with tools like Airflow, DBT, and Airbyte.
- Strong knowledge in lakehouse architectures (Delta/Iceberg) and experience with data quality frameworks like Great Expectations.
- Proficiency in cloud platforms (AWS preferred or Azure), with a deep understanding of services like IAM, VPC networking, Lambda, API Gateway, Batch, Kinesis, and Kafka.
- Proficiency with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation for automation.
- Advanced skills in GPU acceleration, CUDA, and distributed model training.
- Demonstrated ability to architect and deploy scalable machine learning and data-intensive systems.
- Proficiency in database modeling for OLTP/OLAP systems and expertise with relational and NoSQL databases.
- Strong mentoring skills, with a proven track record of guiding junior team members in AI/ML best practices.
- Bachelor’s degree in a related field (required), with a Master’s or PhD in Data Science or a related field (preferred).
- 7+ years of experience in data science, machine learning, or data engineering.
- AWS or Azure certification (strongly preferred).
- Strong communication and leadership skills with experience working cross-functionally to deliver high-impact data solutions.
About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )
- E - Empowering: Enabling individuals to reach their full potential.
- L - Leadership: Taking initiative and guiding each other toward success.
- I - Innovation: Embracing creativity and new ideas to stay ahead.
- T - Teamwork: Collaborating with empathy to achieve common goals.
- E - Excellence: Striving for the highest quality in everything we do.
We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.
We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.
Ready to apply?
Apply to Particle41