Continuous Dataset Example Jobs in Usa

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

About Us 

Smart Reimbursement Inc. (SRI) is a healthcare finance and analytics firm that provides innovative solutions to reimbursement challenges faced by hospitals. We combine deep policy expertise with advanced data tools to help hospitals. 

Our mission is to improve the healthcare industry by leveraging technology to automate and streamline financial reporting processes, enabling hospitals to focus on providing the highest quality of care to patients. Although SRI has been in business since 2011, our culture is more like an early-stage startup, and we prioritize experimentation, innovation, and collaboration. 

The Role 

We are hiring a Python Data Analyst to deepen ownership of our internal analytics models and improve the reliability and scalability of our delivery engine. This role will focus on preparing data, running internal Python models, troubleshooting issues, and improving performance and automation across workflows. 

You will work closely with our delivery leadership and technical subject matter experts to learn existing workflows quickly, then contribute improvements over time. 

Responsibilities 

• Prepare and shape large healthcare datasets (claims, remits, transactions, reimbursement-related files) for internal Python models. 
• Operate and support internal Python models reliably, including troubleshooting and root-cause debugging. 
• Work with very large datasets (100M+ rows) and implement pragmatic approaches when standard tools are insufficient. 
• Build and maintain efficient data pipelines for recurring and ad-hoc analytics projects. 
• Automate data transformation and reporting workflows with clean, reusable code. 
• Support the preparation of audit-ready workpapers and other client-ready documentation. 
• Participate in internal and client meetings as needed to clarify goals and communicate findings. 
• Improve documentation, internal tools, and project templates. 

What Success Looks Like 

• You can run internal model workflows end-to-end with minimal oversight. 
• You can diagnose and resolve issues independently and improve reliability for the broader team. 
• You deliver meaningful improvements to performance, automation, and repeatability. 
• You are a strong team player who supports delivery execution and reduces friction. 

Required Qualifications 

• Advanced Python skills (ability to run, own, and improve an analytics codebase, not just write one-off scripts). 
• Strong experience working with large datasets and performance constraints. 
• Advanced MS Excel skills (complex formulas, pivot tables, data validation, and ability to work with larger datasets). 
• Comfort in Jupyter notebooks and reproducible workflows (pandas required). 
• Proven debugging ability and strong analytical judgment. 
• Experience working with sensitive or regulated data; HIPAA/PHI experience strongly preferred. 
• Clear communication and a collaborative working style. 

Nice to Have 

• Experience with healthcare data or hospital finance/reimbursement workflows 
• Familiarity with EPIC healthcare data 
• Experience optimizing data workflows (e.g., parquet/arrow, duckdb, polars, dask, spark, databases) 
• SQL proficiency 

Location, Logistics, and Process 

• Nashville Hybrid or Fully Remote. 
• Background check required. 
• This role involves HIPAA-protected data and requires strict data security practices. 
• Interview process includes a Python technical assessment. 

Compensation & Benefits 

This role offers a base salary of $130,000–$150,000, depending on experience, plus a performance-based bonus. Benefits include health, dental, and vision insurance, and a 401(k) with employer match. 

Clinical Data Scientist

Redwood City, CA (Hybrid potentially remote options)

Salary: $150,000-$190,000

No Sponsorship Available

About the Role

We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives.

In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems.

You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally.

This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development.

What You’ll Do

• Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models.
• Ensure outputs meet quality, compliance, and traceability standards.
• Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using SAS, R, or Python.
• Perform robust data cleaning and QC checks.
• Investigate anomalies and troubleshoot issues across the data pipeline.
• Distinguish between upstream extraction issues and true clinical variations.
• Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic.
• Serve as an early user and feedback partner for internal data tools.
• Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides).
• Support compliance and regulatory submission needs.
• Complete internal and external analysis requests to support clinical insights, client value, and platform performance.
• Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance.

What You Bring

• Education:
• BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field.
• Experience:
• 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech.
• Technical Strengths:
• SAS, R, Python, SQL
• Experience with Git/version control preferred
• Industry Knowledge:
• Familiarity with clinical trial workflows
• Strong understanding of CDISC SDTM/ADaM
• Oncology endpoints (RECIST, survival) and RWD experience is a plus
• Data Wrangling:
• Comfort “stitching together” messy, real‑world clinical datasets
• Experience with unstructured text or NLP outputs is desirable
• Soft Skills:
• Exceptional attention to detail
• Clear, structured communicator
• Proactive, self‑directed, collaborative

Job Summary:

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in Irving, Texas.

Duties:

• Support cross-functional teams including Marketing, Data Science, Product, and Digital
• Build datasets that power: customer segmentation, personalization workflows, campaign and lifecycle analytics, BI dashboards and KPIs and real-time and ML-driven customer experiences
• Build, optimize, and maintain customer data pipelines using PySpark/Databricks
• Transform raw customer data into analytics‑ready datasets for reporting, segmentation, personalization, and AI/ML applications
• Develop customer behavior metrics, campaign insights, and lifecycle reporting layers
• Design datasets used by Power BI/Tableau; dashboard creation is a plus, not required
• Optimize Databricks performance such as: skewed joins, partitioning, sorting, caching/persist strategy
• Work across AWS/Azure/GCP and integrate pipelines with CDPs
• Participate in ingestion and digestion phases to shape MarTech and BI analytical layers
• Document and uphold data engineering standards, governance, and best practices across teams

Desired Skills/Experience:

• 6+ years in Data Engineering or Analytics Engineering
• Strong hands-on experience with: Databricks, PySpark, Python and SQL
• Proven experience with customer/marketing data: segmentation, personalization, campaign analytics, retention, behavioral metrics
• Ability to design performance‑optimized pipelines; batch or near real-time
• Experience building datasets consumed by Power BI/Tableau
• Understanding of CDP workflows, customer identity data, traits/feature modeling, and activation
• Strong communication skills, translating marketing needs into technical data solutions
• Power BI expertise, major plus
• Experience with Delta Lake, orchestration, or feature engineering for ML
• Background as an Analytics Engineer, BI/Data Modeling Engineer, or Data Engineer with strong analytics orientation

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $140,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

Job Title: Statistical Programming Analyst

Location: Columbia, SC

Contract duration: 6 Month contract with potential for extension or conversion

Job Summary

We are seeking a Statistical Programming Analyst III to join our Research & Analysis team in a partially onsite role, responsible for developing and delivering data-driven reports using large healthcare datasets. This role focuses on ensuring data integrity, executing routine monthly reporting processes, and creating ad hoc analyses to meet customer needs through statistical programming and data interpretation using tools such as SAS, SQL, and/or Python, with a transition toward Python and expanded data visualization capabilities.

Key Job Responsibilities:

• Ensure data integrity by validating and supporting monthly data warehouse table loads
• Execute standard and routine reporting processes using updated datasets
• Develop and deliver recurring and ad hoc reports based on customer requirements
• Use statistical programming (SAS, SQL, and/or Python) to extract, manipulate, and analyze large healthcare datasets
• Perform mathematical computations and data interpretation to generate meaningful insights
• Collaborate with internal teams, external vendors, and CMS stakeholders to understand reporting needs
• Translate technical findings into clear, concise reports and documentation for both technical and non-technical audiences
• Create and maintain detailed documentation for reporting processes and outputs
• Support the transition of existing processes to Python and contribute to enhancements in data visualization, dashboarding, and modeling
• Adapt to evolving tools, systems, and requirements within a dynamic contract environment

Job Qualifications:

• Bachelor’s or Master’s degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field
• Minimum of 4 years of experience in statistical programming or statistical data interpretation
• Strong experience with statistical programming and reporting (SAS, SQL, and/or Python preferred)
• Proficiency with Microsoft Office applications
• Experience working with relational databases and large datasets
• Ability to perform mathematical computations and analyze complex data
• Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences
• Experience creating clear, detailed documentation for reports and processes
• Ability to work with multiple stakeholders, including external vendors and CMS
• Adaptability to changing tools, technologies, and processes (including transition to Python and new visualization tools)
• Self-motivated, able to work independently, and comfortable solving complex problems with limited direction
• Must meet CMS security clearance and U.S. residency requirements (3 of the last 5 years in the U.S.)

Screening questions:

Do you now or in the future require sponsorship (e.g. H-1B)? Y/N

EEO and ADA Statement:

Consulting Solutions and its family of companies is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About Sales Strategy & Operations

As a Sales Strategy & Operations (SS&O) team, our mission is to power sustainable revenue growth for Pinterest with datadriven strategic insights and decision making, tight management against them and highimpact revenue management. We inform critical business decisions driving revenue growth, so team members are highly visible to senior Sales leadership at Pinterest and throughout the organization at large.

This role sits within the SS&O team supporting Programmatic Sales, partnering closely with the VP, GM Programmatic Ads Sales and Programmatic Sales leadership to shape and scale a priority growth business for Pinterest.

What You'll Do:

Reporting to the Senior Director of Sales Strategy & Operations for Agency & Programmatic, and in close partnership with the VP, GM Programmatic Ads Sales, you will develop and bring to life datadriven strategies to accelerate growth in this critical business vertical. In this role, you will:

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  Own development of the sales gotomarket strategy for Programmatic Sales - including customer segmentation, ideal customer profiles, bookofbusiness design, coverage models, sales priorities, and annual planning for Programmatic sellers.

  
  
  
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  Lead the analytics and forecasting engine for Programmatic Sales by designing and maintaining revenue forecasts, pipeline and coverage models, performance scorecards, and forwardlooking views that help leadership make fast, datadriven decisions.

  
  
  
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  Build and manage core reporting and dashboards (in partnership with Data, Finance and BizOps) that surface clear, actionable views of programmatic performance across regions, channels, partners, and products - and continually refine these based on stakeholder needs.

  
  
  
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  Run recurring business review cadences (e.g., weekly performance reviews, monthly/quarterly business reviews) for Programmatic Sales - owning the narrative, analyses, materials, and followup to drive accountability and execution.

  
  
  
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  Translate complex data into clear stories and recommendations for Sales and executive stakeholders, including diagnosing performance drivers, identifying opportunities and risks, and proposing concrete actions for sellers, leaders, and XFN teams.

  
  
  
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  Design and refine sales processes and workflows as new programmatic products, deal types and partners are launched and as new acquisitions are integrated - ensuring Programmatic Sales has clear ways of working, robust documentation, and measurable outcomes.

  
  
  
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  Partner with crossfunctional teams (Finance, Product & Engineering, Product Marketing, BizOps, Client Solutions) to define strategy and operating details for Pinterest's programmatic offering as it evolves, ensuring Sales input is grounded in data and market reality.

  
  
  
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  Identify and test new growth opportunities through structured experiments and analyses (e.g., pricing tests, new motion pilots, coverage and incentive changes), and operationalize successful approaches at scale.

  
  
  
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  Drive standardization and scalability by codifying best practices, creating reusable analytics and tooling, and aligning on shared metrics and definitions across Programmatic Sales and broader Sales orgs.
  
  

  
  
  

What We're Looking For:

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  7+ years of professional experience in strategy & operations, analytics, or similar fields in a fastpaced, highly analytical environment (e.g., management consulting, investment banking, tech/media, or revenue/sales strategy & operations).

  
  
  
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  Direct experience in programmatic or digital advertising (publisher, platform, agency, ad tech, or consulting), with a solid understanding of SSPs/DSPs, deal types, and the broader programmatic ecosystem.

  
  
  
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  Exceptional analytical and quantitative skills - you are comfortable working with large, complex datasets, building models and forecasts, and stresstesting assumptions to arrive at sound, datadriven recommendations.

  
  
  
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  High data fluency and tool comfort - advanced proficiency in Excel/Sheets and data visualization tools (e.g., Tableau, Looker) is expected; familiarity with SQL and querying large datasets is a strong plus.

  
  
  
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  Proven experience building metrics frameworks, dashboards, and reporting that help senior leaders quickly understand business performance and make decisions, including owning definitions, documentation, and change management.

  
  
  
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  Demonstrated ability to partner closely with senior sales leaders (Director/VP+) to define strategy, build annual and quarterly plans, forecast revenue, and drive accountability against goals.

  
  
  
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  Strong structured problemsolving skills and comfort driving decisions in ambiguous, evolving situations where goals, data, or processes are not yet fully defined.

  
  
  
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  Excellent communication and storytelling skills - able to synthesize complex analyses into clear narratives, build compelling materials, and influence crossfunctional partners and senior stakeholders who may not be in your direct line of control.

  
  
  
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  Organized, detailoriented and strategically focused, with a track record of driving measurable impact in complex, matrixed, and fastmoving environments.

  
  
  
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  Bachelor's degree in a relevant field such as business, economics, statistics, engineering, or a related field, or equivalent practical experience.
  
  

  
  
  

InOffice Requirement Statement:

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• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for inperson collaboration at least one day per week and therefore needs to be within a commutable distance from the Los Angeles, Chicago, New York, or Seattle offices.
  
  

Relocation Statement:

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• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-AT6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Bioinformatics Scientist – Antibody Discovery

A growing global veterinary pharmaceuticals organisation is looking for a Bioinformatics Scientist to support antibody discovery programmes for companion animals (dogs, cats, horses).

Working closely with senior R&D leadership, this role will focus on applying bioinformatics, sequencing data analysis and protein modelling to identify and optimize therapeutic antibody targets.

Key Responsibilities

• Analyse genomic, DNA-seq and RNA-seq datasets to support antibody discovery
• Apply bioinformatics and modelling approaches to evaluate and optimize antibody candidates
• Contribute to protein modelling and in-silico antibody engineering (e.g. liability remediation, biophysical optimization)
• Curate and integrate genomic datasets for companion animal species
• Collaborate closely with discovery biology and R&D teams

Key Requirements

• At least 1 year of experience working with therapeutic antibodies (essential)
• Experience analyzing next generation sequencing datasets (DNA / RNA-seq)
• Background in bioinformatics, computational biology or structural biology
• Familiarity with protein modelling / antibody engineering tools (e.g. MOLE, Rosetta or similar)
• Strong communication skills and ability to work cross-functionally with scientific teams

This is an exciting opportunity to contribute to cutting-edge biologics discovery in animal health, helping develop next-generation therapies for companion animals.

If interested, please reach out for a confidential discussion.

• Support the Regional MP&L team (USA, Canada, Mexico) with data analysis, reporting, and cross-functional coordination
• Prepare, structure, and interpret data to enable informed decision-making across Transportation, Packaging, Inventory, and Customs
• Report directly to the Team Manager, Regional MP&L

Key Responsibilities

• Analyze and consolidate operational data from Transportation, Packaging, Inventory, and Customs
• Prepare structured datasets in Excel (including Power Query / Power BI tools) to support business decisions
• Develop recurring and ad‑hoc reports for performance monitoring across MP&L functions
• Monitor key operational KPIs and identify variances, trends, and improvement opportunities
• Combine and link data sources from different domains to create a unified analytical view
• Support Customs data analysis, including classification trends, duty impact, and compliance metrics
• Contribute to improving data accuracy, completeness, and compliance across all MP&L reporting streams
• Assist with the creation of dashboards, templates, and standard formats for recurring analytics
• Provide timely insights and recommendations to improve logistics efficiency and cost performance

Required Skills & Qualifications

• Strong analytical mindset with the ability to work with large datasets
• Advanced Excel skills (pivot tables, formulas, data modeling)
• Experience with Power Query, Power BI, or similar data transformation tools
• Ability to combine, merge, and reconcile data from multiple sources
• Familiarity with logistics, supply chain, or customs-related data (preferred)
• Excellent attention to detail and structured working style
• Ability to communicate insights clearly in both written and visual formats
• Bachelor’s degree or college degree in Supply Chain, Business, Data Analytics, or a related field

Preferred Experience

• Initial work experience or internship in supply chain, logistics, or data analytics
• Knowledge of transportation, packaging, inventory processes, or customs documentation
• Experience working in an international or multi‑regional environment

Personal Attributes

• High level of curiosity and motivation to explore and understand complex data
• Proactive and self-driven individual with a continuous improvement mindset
• Strong problem-solving skills and ability to work independently with minimal supervision
• Organized, reliable, and comfortable working with deadlines
• Team player with strong interpersonal communication skills

Our client is a forward-thinking consultancy at the forefront of technology and innovation, dedicated to empowering organizations to thrive in an ever-evolving digital landscape. Our clients mission is to help businesses harness the power of data and artificial intelligence to drive growth, enhance customer experiences, and optimize operations.

As they enter their next phase of expansion, they are seeking a GenAI Architect to drive cutting-edge AI/ML projects and turn complex data into actionable insights. You’ll thrive in a client-facing, project-based role, leading teams to design, build, and deploy enterprise-scale models across diverse use cases.

Responsibilities

• Lead project teams and act as the technical architect on AI/ML initiatives.
• Analyze large, complex datasets and translate them into impactful insights using ML and AI techniques.
• Build, implement, and deploy models into production environments, leveraging best practices across cloud and on-prem solutions.
• Collaborate with clients to define requirements, architect solutions, and present technical recommendations.
• Coach and mentor junior team members while driving project success.

Experience

• Proven track record building large-scale AI/ML solutions in enterprise or consulting environments.
• 5+ years of hands-on experience in statistical modelling, analytics, and machine learning.
• Advanced academic background (Master’s in Statistics, Math, Computer Science, or related; PhD is a strong plus).
• Expertise in a wide range of ML and AI techniques: regression models, cluster analysis, predictive modeling, neural networks, deep learning, decision trees, ensemble methods, and more.
• Strong programming skills in Python, TensorFlow, PyTorch, Hugging Face Transformers, and other ML frameworks for model development and experimentation.
• Deep understanding of NLP fundamentals, including tokenization, embeddings, language modeling, sequence labeling, and text generation.
• Experience with modern AI tooling: LangChain, vector databases, prompt engineering, and large-scale data embedding.
• Solid knowledge of relational (SQL) and non-relational (NoSQL) databases, and distributed systems like Hadoop and Spark.
• Ability to turn complex datasets into compelling, actionable insights using visualization tools (RShiny, Python, Tableau, Power BI, D3.js, etc.).
• Passion for mentoring and leading teams, fostering growth and knowledge sharing.
• Experience managing data workflows: wrangling, exploring, transforming, and analyzing diverse datasets.
• Familiarity with monitoring model performance, tuning, and ensuring high-quality data.
• Excellent communication skills with the ability to engage stakeholders at both technical and business levels.
• Strong curiosity and thought leadership, staying ahead of AI/ML trends and research.
• Experience deploying ML models into production on cloud platforms such as Google Cloud Platform, Azure, or AWS.

Please note, our client is unable to support visa transfers at this stage and can hire US citizens or Greencard holders.

If you feel you have the required skills, please get in touch with a copy of your CV! Or email me directly at

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