AI/ML Engineer, honeysales
3+ days a week in office
Automation software for sales
Be an early applicant
Automation software for sales
21-100 employees
Be an early applicant
3+ days a week in office
21-100 employees
Company mission
To digitize the entire B2B sales process and put the deal owner at the center with automated, data-driven, constant CVR increase across all funnel stages.
Role
Who you are
- 2+ years of experience working in related roles (ML engineer, AI engineer)
- Experience in the complete end-to-end process and life cycle of model development: From data acquisition and preparation to the deployment and go-live phase
- Expert proficiency in Python and building APIs using FastAPI and common data science toolkits: NumPy, pandas, scikit-learn, etc
- Expertise in NLP and the fields of topic modeling, document classification, named entity recognition and recommender systems
- Expertise in transformer-based large language models (BERT, GPT, Llama, etc.)
- Advanced knowledge of prompt engineering techniques, e.g. zero / few shot classification, Chain-Of-Thought, etc
- Experience in fine-tuning open-source language models on both labeled (supervised) and unlabelled (unsupervised) domain-specific data using various techniques like LoRa and PEFT / ReFT
- Experience in validating, evaluating and benchmarking LLM performance on specific tasks and a deep understanding of deploying LLMs in real-world scenarios
- Experience with LangChain with implementation of RAG
- Extensive experience in at least one of the following Machine Learning frameworks: PyTorch, TensorFlow, JAX
- Solid understanding of statistical concepts and methodologies, with the ability to apply them effectively in data analysis and model development
- Experience with data modeling, data warehousing, ETL and data pipelines is a plus
- Experience with cloud computing (AWS, GCP, Azure)
What the job involves
- As an AI/ML Engineer, you will play a key role in developing and implementing machine learning and AI-powered products, contributing to the growth and success of our customers and organization
- Stay updated with the latest advancements in machine learning and AI technologies, tools, and methodologies
- Conduct research to identify and explore potential applications of machine learning in the company's products or services
- Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to conceptualize and design innovative machine learning solutions
- Develop and implement machine learning models and algorithms to solve complex business problems
- Design and optimize data pipelines, feature engineering processes, and model training techniques
- Apply statistical analysis and evaluation methods to ensure the accuracy, efficiency, and reliability of the models
- Regularly monitor and maintain deployed models, ensuring their continuous performance and adapting them to changing data patterns
- Collaborate with software engineering teams to deploy machine learning models into production environments
- Develop and maintain APIs or other interfaces to integrate machine learning capabilities into existing systems or applications
- Collaborate on monitoring and maintenance procedures to ensure model stability, performance, and scalability
- Prepare comprehensive documentation, including technical specifications, user guides, and best practice guidelines for machine learning models and systems
- Present findings, insights, and project updates to both technical and non-technical stakeholders in a clear and concise manner
- Continuously track and report on the progress of machine learning projects, ensuring alignment with established goals and timelines
Application process
- Screening call with our recruiter (20 minutes virtual)
- Hiring manager interview (60 minutes virtual)
- Take-home ML design task (up to 4 hours self-directed work)
- Design task review (60 mins)
- Meet the team, meet the founders, join the company lunch (3 hours onsite)
- Reference checks
Our take
Automation has been driving major digital shifts across industries, and sales is no exception. Honeysales is one of the companies aiming to equip sales reps with the latest tools, but with a particularly bold vision: integrating a variety of new sales automation trends that have already proven successful for other salestech startups.
While companies like Leadiro and PredictLeads specialise in automating lead generation, Drip Scripts focuses on customer email content, and Chili Piper optimises meeting bookings, Honesales seeks to bring all of these functions into one comprehensive platform. It's a big challenge, especially with established players like Zapier and Salesforce dominating the sales tools space, alongside a growing number of hungry startups. AZ a newer company, Honesysales will need to stay sharp and differentiate itself to thrive.
That said, the team has had a solid start, securing seed funding in early 2023. By offering a unified suite of tools. Honeysales could appeal to sales teams looking to cut through the clutter of SaaS bloat. And with automation set to play an even bigger role in sales in the coming years, Honeysales is well-positioned to capture a promising slice of this rapidly evolving market.
Freddie
Company Specialist at Welcome to the Jungle
Company
Company benefits
- A transparent feedback culture
- Plenty of room to contribute your ideas and successfully participate in our growth
- 30 days of annual vacation, plus an attractive annual salary
- 3 days in the office – 2 days of remote work policy, plus 10 days per year during which you can work remotely flexibly
- Open, modern office in Kreuzberg with a table tennis table in the office
- Regular happenings like summer and Christmas parties, team events, and after-work events
- Mobility benefits in Germany through Navit - Germany ticket, bike leasing, car subscriptions, and mobility budgets
Company HQ
Kreuzberg, Berlin, Germany
Leadership
Stefan Mayer
(Co-Founder & Managing Director)Began their career as an Analyst, and subsequently went on to co-found the antique furniture marketplace Komod. They also worked on portfolios with spring c.invest, then pivoted to Business Development with business expertise marketplace COMATCH.
Daniel Brusch
(Co-Founder & Managing Director)Served as MD at Contact & Cooperation Würzburg e.V. before moving on to co-found the Brandenburger Tor Museum. Subsequently worked in marketing, then served as the director of COMATCH. Just prior to honeysales served as VP of business development and partnerships at investing/consulting firm TruVenturo.
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