{"id":1253094,"url":"https://alion.io/job/savishty-senior-technical-trainer","title":"Senior Technical Trainer","company":{"id":3800406,"name":"Savishty","domain":"savishty.com","url":"https://alion.io/company/savishty","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Education","role_family":"Education","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":33000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":270},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"Chroma","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"FAISS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Keras","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"LoRA","optional":false},{"name":"Matter","optional":false},{"name":"Mistral","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"PEFT","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"RLHF","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false},{"name":"Transformers","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"GitHub","optional":true},{"name":"Hugging Face","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-11T04:49:02Z","employer_posted_date":null,"last_verified_at":"2026-09-11T04:49:02Z","board_verified":false,"closed_at":null,"days_open":17,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":17},"description":"About the Role :\n\nWe are looking for a passionate Senior Technical Trainer with good hands-on to join our expert team. Candidate will drive knowledge adoption across customers, partners, and internal teams delivering high-impact training in AI/ML, Deep Learning, and the rapidly evolving Generative AI and Agentic AI landscape.\n\nKey Responsibilities :\n\n- Conduct engaging in-person and virtual training sessions across a range of learner profiles.\n\n- Deliver workshops and bootcamps on AI/ML, Deep Learning, Generative AI, RAG pipelines, and Agentic AI systems and LLMOps.\n\n- Design and develop training materials, including slide decks, hands-on labs, demo notebooks, video walkthroughs, and assessments aligned towards current industry trends and customer needs.\n\n- Build modular, reusable learning content covering GenAI application development, RAG architectures, LLM fine-tuning, prompt engineering, and multi-agent orchestration, LLMOps.\n\n- Integrate real-world use cases and project-based learning into every module, ensuring practical applicability.\n\n- Work closely with internal and external Subject Matter Experts (SMEs) to draft training proposals and curate content aligned with enterprise skilling goals.\n\n- Train and mentor internal trainers and partner faculty to scale delivery across regions and formats.\n\nRequirements (Must-have):\n\n- ML and Deep learning frameworks: Scikit Learn, TensorFlow, PyTorch, Keras.\n\n- Neural network architectures: CNNs, RNNs, LSTMs, Transformers.\n\n- ML workflows: data preprocessing, model training, evaluation, and optimization.\n\n- Working knowledge of Large Language Models (LLMs): GPT, Llama, Mistral, Gemini, Claude, etc.\n\n- Prompt Engineering: zero-shot, few-shot, chain-of-thought, and advanced prompting patterns.\n\n- RAG (Retrieval-Augmented Generation), Vector databases (Pinecone, FAISS, Chroma, Weaviate), embedding models, chunking strategies.\n\n- LLM Fine-tuning: LoRA, QLoRA, PEFT, RLHF.\n\n- Agentic AI and Frameworks: Building and teaching AI Agents - tool use, memory, planning, and reasoning loops; Hands-on familiarity with at least two or more Agentic AI frameworks: LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen (Microsoft), OpenAI Agents SDK or Anthropic Claude SDK; Hands-on knowledge of MCP (Model Context Protocol), tool calling, and function calling patterns; Hands-on knowledge of Multi-Agent system design and its nuances and LLMOps.\n\nQualifications :\n\n- Bachelor's degree in computer science, Engineering, Mathematics, or a related field or equivalent practical experience.\n\n- Demonstrated hands-on experience in AI/ML model development, GenAI application building, or data science workflows.\n\n- Proven track record of delivering technical training, workshops, or bootcamps especially in AI/ML or GenAI domains.\n\n- Experience with cloud-based AI/ML platforms (AWS Sagemaker, Azure AI Foundry, GCP Vertex AI, etc.) is highly recommended.\n\n- Having any of professional cloud certifications is a plus.\n\n- Prior experience developing content for professional certifications or enterprise skilling programs is a plus.\n\n- Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.\n\n- Strong facilitation skills - comfortable engaging beginners as well as seasoned engineers in the same session.\n\n- Strong analytical and problem-solving skills with an eye for real-world applicability.\n\nGood to have :\n\n- Contributions to open-source AI/ML projects or public learning resources (blogs, notebooks, talks).\n\n- Experience with AI governance, responsible AI practices, or bias/safety considerations in LLMs.\n\n- Active community presence (LinkedIn, Hugging Face, GitHub, etc.)\nSkills\nMachine Learning, Artificial Intelligence, Deep Learning, Python, Generative AI, Technical Training, AI Training, Training Support","description_format":"text","description_chars":3845,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T18:04:06Z"}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.415,"p_room":0.75,"age_days":17,"expected_fill_days":23,"reasons":["seen:17","agency","velocity","win:late"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/savishty-senior-technical-trainer","json_url":"https://alion.io/job/savishty-senior-technical-trainer.json","meta":{"generated_at":"2026-09-29T04:13:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3970,"day_limit":5000,"remaining_today":1030,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}