CrawlJobs Logo

Junior AI Engineer

sdggroup.com Logo

SDG

Location Icon

Location:
Italy , Milan

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

SDG Group is looking for Junior AI Engineers to join our AI & Data Science team. From day one, you will be fully integrated into an international delivery unit, working with multicultural teams on high-impact projects across cutting-edge and highly competitive sectors such as Fashion & Luxury, Utilities, Banking, Insurance, and Healthcare. This role is ideal for candidates eager to grow fast in a dynamic, international, and constantly evolving environment, with direct exposure to Generative AI and advanced analytics projects.

Job Responsibility:

  • Full-Lifecycle AI Development: Manage the entire journey of an AI solution, from initial problem-solving and data cleaning to building production-ready systems
  • Cutting-Edge Modeling: Implement a wide range of algorithms—from traditional statistical optimization and predictive modeling (supervised/unsupervised) to advanced Generative AI using LLMs and Transformers
  • Industrialization & AIOps: Transition models from local environments to the cloud using an engineering mindset. You will ensure systems are scalable and reliable by applying AIOps methodologies
  • Cloud Mastery: Work across the 'Big Three' (AWS, GCP, and Azure) and leverage specialized platforms like Databricks, SageMaker, and Vertex AI to handle large-scale data science needs
  • Strategic Insight & Communication: Translate complex datasets into actionable business insights. You will act as a bridge between technical data and client needs, presenting findings that solve real-world challenges
  • Collaborative Deployment: Work in synergy with Data Engineers to integrate models into live systems, ensuring they are not just 'smart' but operational

Requirements:

  • Master’s degree in a STEM field (Computer Science, Engineering, Mathematics, Statistics, Data Science, or related)
  • Recent graduates are welcome, even with limited professional experience
  • Proficiency in R, Python and its ecosystem (NumPy, Pandas, scikit-learn)
  • Familiarity with Git, virtual environments, and SQL/NoSQL databases
  • Understanding of core ML concepts (regression, classification, clustering, dimensionality reduction)
  • English at a B2 level (this will be tested during the interview)

Nice to have:

Spanish is a plus

What we offer:
  • Continuous Growth & Learning: Access our Internal Academies for 80 hours of initial training, followed by ongoing coaching and support for top-tier certifications (AWS, Snowflake, Google BigQuery, etc.)
  • A Meritocratic Ecosystem: semi-annual performance reviews to discuss your achievements, new challenges, and salary adjustments based on your results
  • High-Impact Projects: From Day 1, you’ll be part of a team implementing real-world AI, deep learning, and predictive analytics for global industry leaders
  • Young & International Culture: Join a diverse, inclusive, and energetic team with an average age under 30, with opportunities for international travel
  • Flexibility & Work-Life Balance: We embrace Smart Working (hybrid) and provide financial support for your home office
  • Stability & Purpose: We offer a permanent contract because we want you to grow with us long-term in an environment that celebrates creativity and diversity

Additional Information:

Job Posted:
April 12, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Junior AI Engineer

Principal Forward Deployed Engineer, AI

As a Principal Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the fo...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 10+ years of experience in backend software development
  • 5+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
Read More
Arrow Right

Senior Software Engineer – AI

NStarX is seeking a highly skilled Senior Software Engineer – AI with a strong f...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (PhD is a plus)
  • 9+ years of experience in AI/ML engineering or related roles
  • 3+ years of experience in Generative AI with team leadership responsibilities
  • Proven track record of production-grade ML and GenAI model development and deployment
  • Programming: Python (preferred)
  • GenAI Frameworks: Hugging Face Transformers, Diffusers, LangChain, TGI
  • Serving & Inference: FastAPI, gRPC, NVIDIA Triton, TorchServe
  • Cloud Platforms: AWS (SageMaker, EKS), GCP (Vertex AI, GKE), Azure (Azure ML, AKS)
  • MLOps & DevOps: Kubeflow, MLflow, GitHub Actions, Jenkins, Helm, Terraform
  • Optimization Techniques: Model quantization, distillation, pipeline and tensor parallelism
Job Responsibility
Job Responsibility
  • Design, develop, and deploy machine learning models and AI algorithms to address complex business challenges
  • Lead and mentor a team of AI/ML engineers, ensuring quality and scalability in solution design and implementation
  • Collaborate closely with cross-functional teams including data scientists, software engineers, product managers, and UX designers
  • Lead the development and deployment of Generative AI applications across text, code, image, and audio modalities using state-of-the-art LLMs
  • Design and implement CI/CD pipelines for the GenAI model lifecycle including training, validation, packaging, and deployment
  • Apply best practices for model performance tuning, cost optimization, and scalable deployment in cloud and hybrid environments
  • Develop prompt engineering, fine-tuning strategies (LoRA, QLoRA, PEFT), and evaluation protocols tailored to business use cases
  • Stay current with emerging trends in AI, ML, and Generative AI and drive adoption across teams
  • Document processes, model architectures, and deployment strategies for traceability and knowledge sharing
  • Work closely with cross-functional teams to gather requirements and deliver high-quality solutions
What we offer
What we offer
  • Competitive salary aligned with market standards
  • Opportunities for professional development and skill enhancement
  • A collaborative and innovative work environment
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
United States; Canada
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Mathematics, or a related field
  • Master’s or Ph.D. preferred, or equivalent professional experience
  • 7+ years of hands-on industry experience with AI and machine learning
  • 3+ years of experience working with LLMs in large-scale production environments
  • Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
  • Proven leadership in designing and deploying AI solutions at scale
  • Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
  • Experience with distributed systems and cloud-based AI infrastructure
  • Strong problem-solving and strategic thinking abilities
  • Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production
Job Responsibility
Job Responsibility
  • Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
  • Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
  • Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
  • Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
  • Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
  • Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems
What we offer
What we offer
  • Variety of medical, dental, and vision plans
  • Paid parental leave
  • Monthly Health & Wellness allowance
  • Work from home office stipend
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
  • Base salary, equity, and a variety of benefits
  • Fulltime
Read More
Arrow Right

AI Engineer for Storage Domain

Experienced AI Engineer role focused on storage domain, working with HPE's Hybri...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or master's degree in computer science, Information Systems, or equivalent
  • Typically 6 to 10 years' experience
  • Experience designing and developing software systems design tools and languages in storage/server/networking area
  • Two or more years of experience in applying AI to practical and comprehensive technology solutions
  • Experience with ML, deep learning, TensorFlow, Python, NLP
  • Experience in program leadership, governance, and change enablement
  • Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
  • Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
  • Experience with innovation accelerators
  • Cloud Architectures
Job Responsibility
Job Responsibility
  • Lead cross-functional teams in identifying and prioritizing key areas where AI solutions can drive significant business benefit
  • Design and develop solutions leveraging patterns in data and metadata stored in Petabytes of Objects and Files
  • Design, develop, and deploy hybrid RAG architectures integrating LLMs with retrieval-based systems
  • Work on functional design, process design, prototyping, testing, training, and defining support procedures
  • Translating technical AI findings into clear, business-oriented language for non-technical stakeholders
  • Implement and manage pipelines that combine retrieval mechanisms with generative capabilities
  • Develop custom plugins, adapters, or APIs to integrate retrieval systems with generative models
  • Fine-tune and optimize large language models
  • Monitor and troubleshoot issues within pipelines
  • Evaluate and benchmark performance of vector databases and solutions
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

We are seeking a Senior AI Engineer (L4, Individual Contributor) to design, buil...
Location
Location
India , Chennai
Salary
Salary:
Not provided
arcadia.com Logo
Arcadia
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of professional software engineering experience
  • 3+ years in AI/ML development
  • Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain)
  • Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems
  • Understanding of modern AI research (LLMs, diffusion models, transformers)
  • Experience deploying ML models in production with CI/CD
  • Strong analytical skills, ability to balance speed and rigor in experimentation
  • A passion for sustainability and the clean-energy mission
  • Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
Job Responsibility
Job Responsibility
  • Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
  • Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
  • Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments
  • Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment
  • Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements
  • Drive performance improvements in model accuracy, latency, and cost efficiency
  • Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform
  • Write clean, maintainable code, contribute to architecture reviews, and mentor junior engineers
  • Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
What we offer
What we offer
  • Competitive compensation and employee stock options
  • Hybrid/remote-first working model (India-based role, with global collaboration)
  • Flexible leave policy
  • Comprehensive medical insurance (self + family members)
  • Annual performance cycle + quarterly recognition awards
  • A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation
  • Fulltime
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
Read More
Arrow Right