Supports AI initiatives through research, framework evaluation, dataset preparation, model training experiments, hyperparameter tuning, and evaluation. Documents technical risks and feasibility findings while contributing to responsible AI practices, knowledge sharing, and collaborative development using Python, PyTorch or TensorFlow, Git, Jupyter, and Linux.
As a Trainee AI Engineer at
SKO Systems, you will involve supporting the strategic and technical
implementation of AI initiatives. The position blends research, experimentation.
and operational execution across AI technologies, with a strong emphasis on LLM
frameworks and responsible AI practices.
Essential Functions / Deliverables
Understand
and Execute AI Directions from Leadership
• Attend and document AI-related
meetings and initiative briefings.
• Follow technical instructions and
break down objectives into research or coding tasks.
• Seek clarification proactively to
ensure alignment with expectations.
Research AI
Technologies & Frameworks (LLMs, PyTorch, etc.)
• Study and summarize capabilities of
Large Language Models (LLMs) like GPT, BERT, LLaMA, etc.
• Explore open-source AI frameworks
such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Compare tools based on use-case fit,
performance, and ease of integration.
Support in
AI Model Training & Experimentation
• Assist in preparing/collecting
datasets, preprocessing (cleaning/transforming raw datasets) and setting up
training pipelines using Python and PyTorch.
• Run basic training experiments and
log results for analysis.
• Help with hyperparameter tuning and
model evaluation under guidance.
• Utilize version control systems like
Git to manage code changes collaboratively.
Contribute
to Risk & Feasibility Assessments
• Document technical challenges,
limitations, and potential risks in AI implementation.
• Research alternatives or workarounds
for identified issues.
• Maintain a risk log and update it
based on findings and feedback.
Continuous
Learning & Knowledge Sharing
• Complete internal or external AI
training modules (e.g., Coursera, Fast.ai, Hugging Face courses).
• Stay updated with latest AI research papers, GitHub projects, and tech blogs,
• Stay updated with latest AI research papers, GitHub projects, and tech blogs,
Share
learnings with the team through short presentations or documentation
Requirements
Education: Bachelor’s degree in
computer science, Engineering, or a related field
Required Years and Area of Professional Experience : 0–1 years of professional experience (on technologies)
Critical Professional Related Technical/Computer Skills :
· Ability to research and evaluate AI tools and frameworks for feasibility and applicability
· Skills in experimenting with models, running training loops, and analyzing results
· Ability to document technical findings, risks, and recommendations
Capacity to stay updated with AI trends and contribute to team knowledge sharing
Ethics & Compliance : This position requires full commitment to fostering the highest standards while promoting an ethical and compliant culture. Integrity, honesty, respectful treatment of others, and willingness to speak up when misconduct or concerning behaviours are evident are essential.
Required Years and Area of Professional Experience : 0–1 years of professional experience (on technologies)
Critical Professional Related Technical/Computer Skills :
- Internship or
academic project involving AI/ML, NLP, or LLMs
- Exposure
to open-source AI libraries like Hugging Face Transformers
- Professional competencies :
Python, PyTorch or TensorFlow, LLMs, AI model training workflows, Git, Jupyter Notebooks, and Linux CLI - Knowledge, Skills & Abilities
· Ability to research and evaluate AI tools and frameworks for feasibility and applicability
· Skills in experimenting with models, running training loops, and analyzing results
· Ability to document technical findings, risks, and recommendations
Capacity to stay updated with AI trends and contribute to team knowledge sharing
Ethics & Compliance : This position requires full commitment to fostering the highest standards while promoting an ethical and compliant culture. Integrity, honesty, respectful treatment of others, and willingness to speak up when misconduct or concerning behaviours are evident are essential.
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop and maintain scalable full-stack enterprise applications using Java, Spring, React or Angular, microservices, and cloud-native AWS technologies. Responsibilities include requirements gathering, architecture and design, coding, testing, monitoring, performance engineering, compliance, and production support. The role also involves database development, CI/CD, DevOps, containerization, data engineering, and integration of AI/ML services. Candidates collaborate with business partners and technical teams while mentoring developers and ensuring secure, resilient, high-quality delivery.
Top Skills:
Ai/Ml ApisAngularSparkAwkAWSAzureChefCSSDatabricksDelta LakeDockerEclipseETLGCPGradleHibernateHTMLIntellij IdeaJ2EeJavaJava 8JavaScriptJbossJenkinsJqueryJspKubernetesMavenMongoDBMySQLOraclePostgresRadReactRestServletsShell ScriptingSoapSonarqubeSpring 5SQL ServerTomcatUnixVisual StudioVs CodeWebsphereXMLXslt
Financial Services
Leads end-to-end solution architecture and hands-on development across Java, Spring Boot, Python, APIs, distributed systems, data platforms, and AI/ML services. Defines high- and low-level designs, integration patterns, nonfunctional requirements, and production-readiness standards. Guides AI-assisted engineering practices, model productionization, MLOps, observability, security, resiliency, and responsible AI controls. Investigates performance and production issues while partnering with data science teams to deliver scalable, reliable services.
Top Skills:
Ai/MlCi/CdGrpcJava 11/17KafkaKubernetesLlmsMlopsMongoDBPython 3.XRagRedisRestSpring BootVector Search
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Build and lead production AI/ML components, including embeddings, retrieval, agents, and multimodal systems, for reuse across domain teams. Translate architectural direction into technical specifications and production-ready implementations, make implementation-level decisions, identify scalability issues, and mentor engineers. The role requires deep expertise in representation learning, vector search, retrieval-augmented systems, deep learning, LLMs, agent frameworks, distributed systems, and ML engineering.
Top Skills:
AutogenBertC++ClaudeCnnCrewaiDiffusion ModelsDistributed SystemsEmbeddingsGansGpt-3/4GruJavaLanggraphLstmMistralPythonPyTorchRetrieval-Augmented GenerationScikit-LearnTensorFlowTransformersVector Similarity Search
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.



