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Machine Learning Data Science Engineer
Machine Learning Data Science EngineerCapTech Consulting • Chicago, Illinois, USA
Machine Learning Data Science Engineer

Machine Learning Data Science Engineer

CapTech Consulting • Chicago, Illinois, USA
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts architects and our clients.

Specific responsibilities for the Machine Learning Engineer position include :

  • Strategizing with clients data scientists engineers and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Deconstructing client needs into data-driven processes / models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g. AWS Azure GCP).
  • Designing developing and deploying advanced analytical solutions leveraging client data (e.g. recommender systems natural language processing risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients requirements.
  • Growing CapTechs Machine Learning and Data Science practices through delivering client presentations writing proposals attending various business development events and leading teams of junior data scientists and engineers.

Qualifications :

  • Bachelors degree or equivalent combination of education and experience.
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python Scala or similar languages.
  • Proficiency leveraging SQL Spark NoSQL and / or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g. Docker) and microservices.
  • Proficiency with data warehousing tools / environments such as Snowflake Databricks Azure SQL Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g. customer analytics marketing finance digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e. personalization natural language processing computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g. GPT Claude Mistral etc.) in production setting
  • Experience with prompt engineering MCP and RAG and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain n8n pydantic etc.)
  • Experience with multi-agent orchestration
  • Additional Information :

    We want everyone at CapTech to be able to envision a lasting and rewarding career here which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO health coverage disability insurance paid family leave and more weve launched extended benefits to help meet our employees needs.

  • Learning & Development Programs offering certification and tuition support digital on-demand learning courses mentorship and skill development paths
  • Modern Health A mental health and well-being platform that provides 1 : 1 care group support sessions and self-serve resources to support employees and their families through lifes ups and downs
  • Carrot Fertility Inclusive fertility and family-forming coverage for all paths to parenthood including adoption surrogacy fertility treatments pregnancy and more and opportunities for employer-sponsored funds to help pay for care
  • Fringe A company paid stipend program for personalized lifestyle benefits allowing employees to choose benefits that matter most to them ranging from vendors like Netflix Spotify and GrubHub to services like student loan repayment travel fitness and more
  • Employee Resource Groups  Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships  Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching Generous matching and no vesting period to help you continue to build financial wellness
  • CapTech is an equal opportunity employer committed to fostering a culture of equality inclusion and fairness each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas backgrounds and experiences to the workplace. For more information about our Diversity Inclusion and Belonging efforts click  HERE.  As part of this commitment CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process to perform essential job functions and / or to receive other benefits and privileges of employment please contact Laura Massa directly via email At this time CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

    CapTech supports Equal Pay for all. In addition in the State of Colorado we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is : $95000 - $160000.

    #LI-LM1

    Remote Work : No

    Employment Type : Full-time

    Key Skills

    Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

    Experience : years

    Vacancy : 1

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