We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!
Senior Data Science – Project
We are looking for a Senior Data Scientist to join one of our USA clients, a start-up working on an exciting climate change project. You will be part of a dynamic team building an AI-powered analytics and data platform to help reduce the carbon footprint of industrial manufacturing. Your work will focus on our back-end data pipeline and analytics stack, and you will be responsible for building a range of features and data services, from exploratory prototypes to robust, hardened production implementations.
If you enjoy working with cutting-edge technologies in a fast-paced environment this opportunity is for you!
Expectations — the experience you need
* 7+ years of experience in data science, applied analytics, or adjacent roles.
* Bachelor’s or master’s degree in Computer Science, Mathematics, Physics, Mechanical or Chemical Engineering, Computational Statistics, or a related technical field.
* Proven ability to work across unfamiliar data domains and quickly build understanding.
* Experience in industrial/manufacturing data (energy, process, or climate-related) is a plus.
* Strong programming skills in Python, with experience writing production-quality code.
* Proven data analysis and statistics foundation—able to recognize what makes a “good” analysis even if the AI is doing the heavy lifting.
* Experience designing dashboards and visualizations that communicate insights effectively.
* Strong critical thinking, problem-framing, and hypothesis-driven analysis.
* Excellent communication skills with a talent for data storytelling.
* Intellectual curiosity and ability to adapt quickly to new problem spaces.
* Comfort working in fast-paced, startup-style environments.
Nice to have:
* Familiarity with modern AI/LLM tools and workflows.
* Prior experience configuring or extending agent-based or automated analytics systems.
* Exposure to cloud platforms (AWS/GCP/Azure) and data engineering concepts.
* Understanding of manufacturing and/or energy-related industrial challenges.
Our offer – professional development, personal growth
* Educational resources
* Flexible schedule and work from anywhere
* Referral Program
* Supportive and chill atmosphere
Data Science Intern – Fraud Decision Sciences
We are seeking a fractional Data/AI Specialist to support our sales team on a per-hour/contract basis. This role will primarily serve as a Sales Engineer, providing technical expertise during sales calls and helping prospects understand the value of our data-driven solutions.
Key Responsibilities
* Join sales calls as the technical expert, answering customer questions and providing deep product and data/AI insights.
* Support the sales team in designing solutions that align with client needs.
* Deliver demos, proof-of-concepts, and presentations tailored to prospects.
* Collaborate with sales and product teams to ensure a smooth handoff of technical requirements.
* Advise on best practices and integration paths for customers exploring data/AI solutions.
Qualifications
* Strong background in Data/AI, personalization, or customer data platforms (CDPs).
* Hands-on experience with BlueShift is highly preferred.
* Previous experience in a Sales Engineer, Solutions Engineer, or Pre-Sales capacity.
* Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
* Comfortable working fractionally on a per-hour, on-demand basis.
Why Join
* Work with a fast-moving team and contribute to closing high-impact opportunities.
* Chance to shape data/AI strategy in front of major clients.
Long term, contract to hire position with a major financial firm.
REMOTE.
Senior Machine Learning Engineer (GenAI Focus)
Position Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments. We are looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective.
* Key Responsibilities: Model Deployment & Maintenance: Focus on deploying, monitoring, and maintaining GenAI models in production, ensuring they function reliably in real-world settings.
* Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations.
* Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation).
* DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency.
* Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance.
* Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads.
* Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems.
* Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently.
* Cost Optimization: Implement strategies to manage and reduce the operational costs associated with GenAI deployments.
Qualifications:
* Bachelor's degree in computer science/Engineering, data science, or a related field. Master’s degree preferred
* At least five years' experience as a machine learning engineer, deploying models in production
* Strong proficiency in Python and software engineering principles.
* Solid understanding of machine learning fundamentals and model lifecycle management.
* Experience with cloud platforms, containerization, and infrastructure management.
* Familiarity with DevOps practices and automation tools.
* Expertise in GenAI frameworks, prompt engineering, and model serving.
* Ability to manage GPU/TPU resources and optimize model serving frameworks.
* Experience in developing agentic systems and multi-agent architectures.
* Proven track record in cost optimization in AI deployments.
Impact & Purpose: We are committed to attracting the best and brightest talent who are driven by impact and purpose. The Senior Machine Learning Engineer will play a crucial role in advancing our GenAI capabilities, pushing the boundaries of innovation while ensuring practical application and scalability. If you are passionate about transforming theoretical AI models into impactful real-world solutions, we invite you to join our team.
We are seeking to bring on board a Senior Artificial Intelligence/Machine Learning Engineer to join our growing team. You will be responsible for designing, developing, and deploying cutting-edge machine learning models and AI solutions to solve complex business problems. You will work closely with data scientists, software engineers, and product managers to drive innovation and deliver impactful results.
Responsibilities
* Design, develop, and implement machine learning models using various algorithms and techniques, including deep learning, computer vision, natural language processing, and conversational AI design.
* Deploy, monitor and maintain machine learning models in production environments, ensuring scalability and reliability.
* Develop and maintain data pipelines for efficient data processing and storage.
* Exceptional problem solving skills, with the ability to diagnose and resolve issues related to model performance, data quality, and deployment.
* Collaborates with cross-functional teams to integrate AI/ML solutions with frontend and backend components seamlessly.
* Communicates effectively with team members, stakeholders and non-technical persons and also collaborates well within a team, sharing knowledge with other developers
* Shows a strong commitment to learning and staying up to date with emerging technologies and industry trends.
* 4+ years of experience as an AI/ML engineer, with a proven track record of solving real-world problems.
* Proficient in Python.
* Deep understanding of data and data pipelines, including experience in data cleaning, preprocessing, and feature engineering.
* Experience with machine learning libraries, including TensorFlow, Keras, Pandas, scikit-learn, PyTorch.
* Experience implementing MLOps best practices, including automated model retraining, monitoring, and testing.
Profile Requirements
* Ability to learn quickly and work independently.
* Strong project management and interpersonal skills.
* A team player who enjoys collaborating with others.
* Experience with Vertex AI Studio in GCP is a plus.
Senior Machine Learning Engineer
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