We are seeking an experienced and talented Lead Machine Learning Engineer Innovecs is a global digital transformation tech company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Software & Hightech, and Gaming. For the fifth year in a row, Innovecs is included in the Inc. 5000 and recognized in IAOP’s ranking of the best global outsourcing service providers. Innovecs is featured in the Global Top 100 Inspiring Workplaces Ranking and won gold at the Employer Brand Management Awards. Our value to you: - Flexible hours and remote-first mode - Competitive compensation - Complete Hardware/Software setup – anything you need for work - Open-door culture, transparent communication, and top management at a handshake distance - Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave - Access to our learning & development center: workshops, webinars, training platform, and edutainment events - Virtual team buildings and social activities If you feel like you’re the perfect match for this role, drop us your CV! There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us! Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

* Lead and mentor a team of ML engineers, providing technical direction and supporting team growth, * Own the end-to-end development and delivery of ML solutions, from problem framing and experimentation to production deployment and monitoring, * Analyze large, complex data sets to translate them into actionable insights, * Design and review ML architectures, data pipelines, and MLOps workflows, * Perform the preparation and preprocessing of both structured and unstructured data to ensure model accuracy and effectiveness, * Design, develop, implement, and test both descriptive and predictive ML models, focusing on quality, accuracy, and consistency, * Convert data into meaningful insights and present information using advanced data visualization tools and techniques, * Deploy models into production environments and be responsible for model management (MLOps), * Ensure best practices in model development, deployment, observability, CI/CD, and production support.

Role Description We are seeking an experienced and talented Lead Machine Learning Engineer. Qualifications - Experience in machine learning and related technologies. - Strong programming skills in languages such as Python, R, or Java. - Proficiency in data analysis and statistical modeling. - Experience with machine learning frameworks and libraries. - Ability to work collaboratively in a team environment. Requirements - Proven experience in leading machine learning projects. - Strong understanding of algorithms and data structures. - Experience with cloud platforms (AWS, Google Cloud, Azure). - Excellent problem-solving skills and analytical thinking. - Strong communication skills, both verbal and written. Benefits - Flexible hours and remote-first mode. - Competitive compensation. - Complete Hardware/Software setup – anything you need for work. - Open-door culture, transparent communication, and top management at a handshake distance. - Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave. - Access to our learning & development center: workshops, webinars, training platform, and edutainment events. - Virtual team buildings and social activities. Company Description Innovecs is a global digital transformation tech company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Software & Hightech, and Gaming. - Included in the Inc. 5000 for the fifth year in a row. - Recognized in IAOP’s ranking of the best global outsourcing service providers. - Featured in the Global Top 100 Inspiring Workplaces Ranking. - Won gold at the Employer Brand Management Awards.

We’re looking for a driven, hands-on ML/AI Engineer to help us push the boundaries of what's possible in AI-driven drug development. You’ll work on production-grade LLM-based systems, knowledge graphs, and machine learning pipelines—turning prototypes into powerful tools that make a real-world impact. You'll collaborate across teams to design, build, and deploy intelligent systems that enhance how life sciences organizations make critical decisions. If you love working on technically challenging problems with direct impact in healthcare—this is the role for you. This is a remote-first position, but we’d love it if you’re based in or near Boston. What You'll Do: - Design and Deploy LLM Systems: Develop scalable, production-ready LLM applications using frameworks like LangChain/LangGraph. Build robust RAG pipelines and integrate knowledge graphs for biological and clinical data. - Full-Stack AI Engineering: Write maintainable, high-performance code and build clean APIs and services for machine learning applications. - Data Engineering Collaboration: Work with data engineers to build and optimize data workflows and pipelines for high-quality data ingestion and processing. - Product-Focused Prototyping: Collaborate with product and domain teams to rapidly prototype AI solutions, iterate based on feedback, and scale models for production. - Model Deployment & MLOps: Use modern MLOps tools to deploy and monitor models in production environments (AWS preferred). Ensure scalability, observability, and resilience. - Collaborative Innovation: Partner with engineering, data, and business teams to identify and develop high-value AI/ML applications. - Continuous Learning: Stay ahead of the curve on emerging ML frameworks, GenAI capabilities, and healthcare technologies. Requirements Core Qualifications: - Education: Bachelor's, Master’s, or Ph.D. in Computer Science, Data Science, Engineering, or a related field. - Hands-on AI Experience: Proven ability to build, train, and deploy ML and NLP models, especially those powered by LLMs and transformer architectures. - LLM & LangChain Experience: Practical experience working with frameworks like LangChain for applications such as Q&A systems, chatbots, or document automation. - Software Engineering: Strong coding skills in Python and experience using Git/GitHub and CI/CD practices. - Data Engineering Know-how: Comfort working with ETL pipelines, relational and non-relational databases, and data platforms like Snowflake or Databricks. - Big Data & ML Frameworks: Familiarity with Big Data tools (e.g., Apache Spark) and experience orchestrating data workflows using tools like Apache Airflow. - Cloud & MLOps: Experience with deploying ML models in cloud environments (AWS, GCP, or Azure) and using containerization/orchestration tools like Docker and Kubernetes. Soft Skills: - Strong problem-solving skills and an analytical mindset. - Passion for continuous learning, rapid prototyping, and iterating based on user needs. - Autonomous, self-starter attitude with a strong sense of ownership. - Excellent communication skills—able to explain technical ideas clearly to non-technical audiences. - Collaborative team player with a desire to build things that truly matter.