Job description
Our Essence:
Techie Talent is on a mission to be the world leader in people-first and honest nearshore tech services. We prioritize a people-centered approach in an industry that often feels distant and impersonal. Our services are led by experienced, incredibly talented professionals who are changing the system from within - while collaborating with top global clients.
Our foundation is built on:
- Deep expertise
- Candid transparency
- Profit-sharing
- Fearless innovation
Our Techies stand out for their deep-rooted passion for corporate change, treating software development as a human sport and art form.
When it comes to recruitment, we won’t box you into rigid questionnaires; we genuinely want to get to know you. Our interactions are not transactional but human-centered, seeking genuine understanding and connection.
You’ll hear about our core values and experience them with us firsthand. They define our essence.
Join Techie Talent and be part of the change we’re championing!
Why You Belong Here
As a Machine Learning Engineer at Techie Talent, you’ll be more than just a developer; you will be part of transforming the tech industry through our honest, transparent, and people-centric approach.
Your role will be diverse and dynamic. You’ll be instrumental in developing and maintaining our software solutions, working with a varied technology stack, and ensuring that our products are functional, efficient, reliable, and scalable.
By joining us, you’re not just choosing a job; you’re aligning with a vision that values the human side of tech, where your skills and passion are recognized, nurtured, and celebrated.
What We’re Looking For
- Solid experience in Machine Learning Engineering or a closely related field, preferably in client-facing or consulting environments.
- Proficiency in Python, with strong knowledge of algorithms, data structures, functional programming, and API design. Experience with Scala, JavaScript, or C++ is a plus.
- Deep understanding of the end-to-end ML lifecycle, including data pipeline design, feature engineering, model training, evaluation, and deployment.
- Experience building and scaling real-time predictive models, with applications across domains such as healthcare, legal, construction, and real estate.
- Hands-on experience with ML frameworks such as PyTorch, TensorFlow, MLFlow, and LLMs (e.g., OpenAI, Gemini).
- Strong background in big data processing using tools like Databricks, Apache Spark, Flink, and Kafka.
- Familiarity with data storage technologies, including SQL/NoSQL databases, object storage, and streaming formats (e.g., JSON, file systems).
- Practical knowledge of container orchestration and deployment, including Docker, Kubernetes, and CI/CD pipelines.
- Experience working in existing codebases, with the ability to quickly understand and improve unfamiliar systems without losing track of business objectives.
- Exposure to infrastructure for model versioning and deployment, ideally using Kubernetes and MLFlow.
- Ability to evaluate and integrate pre-trained models, making trade-off decisions based on performance, cost, and ethical considerations.
- Strong adherence to software engineering best practices, including version control, testing, and clean, scalable architecture design.
- Experience in developing automated testing frameworks for data pipelines and machine learning workflows.
- Excellent problem-solving and communication skills, with a proactive and collaborative approach to challenges and blockers.
Our Commitment to You:
- 100% Remote
- USD above-average salaries
- Profit Sharing Policy
- Unlimited PTOs after your first year (20 PTOs the first year)
- Equipment for your setup
- Great work/life balance
- Honest, simple, and transparent culture
- US-based clients and international teams
Every Techie has a story. We’re eager to hear yours and help you write the next chapter.
Are you ready for a change?
#Wearethechange!
