Job description

Description Located in Canada, we are seeking a skilled AI/ML Engineer to develop robust data pipelines on our Google Cloud Data Platform. You will design, optimize, and deploy solutions to support scientific discovery using languages like Java, Scala, and Python. Collaborating closely with product managers, you will ensure the continuous delivery of technology solutions, adhering to Agile and DevOps principles. Your responsibilities will include designing data pipelines, implementing ETL programs, and maintaining compliance with data governance policies. This role involves real-time and batch processing, enforcing data representation standards, and ensuring technical delivery meets security and regulatory standards. You will work closely with Data Scientists, SREs, and Product Managers to deliver high-quality software and deploy machine learning models using Python and Jupyter Notebook. Company Culture and Environment We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We value equality and believe that everyone matters. Career Growth and Development Opportunities Our company promotes an environment of continuous learning, providing opportunities for employees to develop their skills and advance their careers in the rapidly evolving technology landscape. Detailed Benefits and Perks We are an equal opportunity/affirmative action employer that believes in creating an inclusive work environment. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com. Compensation and Benefits • Competitive salary based on experience • Comprehensive health benefits • Retirement savings plan options • Professional development opportunities • Flexible work options Why you should apply for this position today This position offers a unique opportunity to influence impactful scientific projects and be part of a dynamic team dedicated to innovation in the AI/ML field. Skills • Experience with data engineering best practices for the full software development life cycle • Proficient in programming languages: Terraform, Java, SQL, Python • Experience with Data Warehousing (Red) • Familiarity with public cloud environments; transitioning from Azure to GCP • Basic understanding of Shell Scripting • Knowledge of Agile, DevOps & Automation testing • Familiarity with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) • Experience working on real-time data and streaming applications • Proficient with visualization tools such as SSRS, Excel, PowerBI, Tableau, Google Looker, Azure Synapse Responsibilities • Design and implement data pipelines • Develop and maintain ETL programs • Ensure compliance with data governance policies • Collaborate with Data Scientists and Product Managers for software delivery • Enforce data representation standards • Maintain security and regulatory standards in technical delivery Qualifications • Proven experience in AI/ML methodologies • Strong background in data pipeline design and implementation • Experience working in Agile and DevOps environments • Excellent communication skills, both verbal and written Education Requirements • Bachelor’s degree in Computer Science, Engineering, or a related field Education Requirements Credential Category • Bachelor’s degree preferred, Master’s degree a plus Experience Requirements • 3+ years of relevant experience in AI/ML engineering or data engineering • Experience with cloud platforms, specifically GCP or Azure • Proven experience in implementing real-time data processing applications Why work in Hartford, CT Hartford offers a rich history and a vibrant culture, making it an attractive place to live and work. The city is home to a growing tech ecosystem with numerous opportunities for professional development. With a blend of urban amenities and natural beauty, Hartford provides a high quality of life for its residents.

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