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Machine Learning Engineer Biotech Jobs in Connecticut

Purple Drive Technologies

Senior AI Engineer

Hartford, CT · On-site

$55.75 - $71.75/hr

You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for ...

Purple Drive Technologies

Senior AI Engineer

Hartford, CT · On-site

$55.75 - $71.75/hr

You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for ...

Lancesoft

Scientist II

Ridgefield, CT · On-site

$38 - $40.31/hr

... programming languages (R, Python) and have experience applying machine learning techniques ... Previous experience in industry and biotech is desired. Meet Your Recruiter Avijit Guha

Sigma Systems, Inc.

Scientist

Ridgefield, CT · On-site

... programming languages (R, Python) and have experience applying machine learning techniques ... Previous experience in industry and biotech is desired.

New

Aequor

... programming languages (R, Python) and have experience applying machine learning techniques ... biotech is desired.Education: Bachelor's Degree from an accredited institution with three-plus (3+) ...

Deloitte

Senior AI Engineer - SFL Scientific

Stamford, CT

$111.40K - $153K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

System One Holdings, LLC

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Proficiency in scientific programming languages (R, Python). * Experience applying machine learning ... Previous industry and biotech experience (preferred). System One, and its subsidiaries including ...

TalentBurst, Inc.

Scientist II

Ridgefield, CT

... programming languages (R, Python) and have experience applying machine learning techniques ... Previous experience in industry and biotech is desired. Education: Bachelor's Degree from an ...

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105.90K - $143.90K/yr

Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is ... Understanding of Machine learning frame works (e.g. Scikit learning, Scipy) * Understanding and 1+ ...

Deloitte

AI and Data Science Engineer III

Stamford, CT · On-site +1

$122.10K - $146.60K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Deloitte

AI Data Engineer - Manager

Hartford, CT

$115.50K - $138.70K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Deloitte

AI and Data Science Engineer III

Hartford, CT · On-site +1

$115.50K - $138.70K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Deloitte

AI Data Engineer - Manager

Stamford, CT · On-site

$122.10K - $146.60K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

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Machine Learning Engineer Biotech information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are popular job titles related to Machine Learning Engineer Biotech jobs in Connecticut? For Machine Learning Engineer Biotech jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Connecticut look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Connecticut are:
What cities in Connecticut are hiring for Machine Learning Engineer Biotech jobs? Cities in Connecticut with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer Biotech jobs near you

Senior AI Engineer

Purple Drive Technologies

Hartford, CT • On-site

$55.75 - $71.75/hr

Full-time

Posted 10 days ago

Job description

Overview:
Summary
As an AI engineer, you will be in charge of designing and implementing AI capabilities for a Contact Center platform in a Healthcare Payer enterprise. You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for the strategy, design, implementation, and maintenance of AI solutions.
This role requires a highly skilled professional with a deep understanding of AI technologies and the ability to collaborate effectively with a diverse team. The ideal candidate will have a strong background in data science and a proven track record in the industry.
Responsibilities
  • Design and develop AI applications and infrastructure for the Contact Center platform.
  • Collaborate with Cloud and Machine Learning engineers, as well as the development team to ensure seamless integration of AI technologies.
  • Stay current with the latest AI trends and technologies, especially Google GCP or Azure AI for Contact Center
  • Create and maintain AI models and algorithms.
  • Conduct AI research to improve existing systems and develop new technologies.
  • Identify opportunities for AI solutions within the organization and propose strategic plans.
  • Train team members and stakeholders on AI and its applications.
  • Ensure compliance with data privacy regulations in AI applications.
  • Monitor the performance of AI systems and make necessary adjustments.
  • Experience in agentic architecture-based implementations and advanced Retrieval Augmented Generation.

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