Artificial Intelligence Trainer

About Antier

Antier is a global technology company specializing in Artificial Intelligence, Blockchain, Digital Assets, Tokenization, Enterprise Platforms, and other emerging technologies. As we continue to expand our global presence and solution portfolio, we are strengthening our Corporate Strategy function to identify new opportunities, anticipate market shifts, and enable sustainable business growth.

Position Overview

We are looking for a highly analytical and commercially driven strategy professional with a strong background in strategic market research, business analysis, and corporate strategy to join our Corporate Strategy team.

In this role, you will evaluate markets, emerging technologies, customer needs, competitors, and industry trends to identify opportunities that support Antier's growth strategy. Your work will contribute to strategic planning, market expansion, product strategy, business investments, partnerships, and long-term business priorities.

The ideal candidate enjoys solving complex business problems through structured thinking, research, and commercial analysis, and can translate insights into practical recommendations that create measurable business value.

Key Responsibilities

Corporate Strategy

• Support the evaluation and execution of strategic business initiatives and long-term growth priorities.
• Develop business cases for new products, services, markets, partnerships, and strategic investments.
• Contribute to annual strategic planning and corporate growth initiatives.
• Assess strategic opportunities and recommend priorities based on market potential, commercial viability, and business impact.

Strategic Market Research

• Conduct in-depth market research across Artificial Intelligence, Blockchain, Web3, Enterprise Software, FinTech, Digital Assets, Digital Identity, Cybersecurity, and adjacent technology sectors.
• Evaluate market opportunities using structured analytical frameworks, including market sizing, customer segmentation, competitive assessment, and commercial viability analysis.
• Monitor technology adoption, customer demand, investment activity, regulatory developments, and macroeconomic trends.
• Identify emerging trends, unmet customer needs, and future market opportunities that can influence Antier's business strategy.
• Design and execute structured primary and secondary research methodologies using credible industry sources and AI-powered research tools.

Competitive Intelligence

• Build and maintain a structured competitive intelligence framework.
• Benchmark competitors across products, services, pricing, positioning, business models, partnerships, and go-to-market strategies.
• Track product launches, funding activity, mergers & acquisitions, technology innovation, and market movements.
• Identify competitive risks, market gaps, and opportunities for strategic differentiation.

Growth Strategy & Portfolio Evaluation

• Assess the commercial potential of existing and emerging business opportunities.
• Evaluate product-market fit, commercialization models, pricing strategies, and revenue potential.
• Identify opportunities for innovation, diversification, and market expansion.
• Recommend portfolio priorities based on strategic alignment and long-term business value.

Executive Decision Support

• Prepare executive presentations, strategic reports, business cases, and leadership briefings.
• Translate complex research into concise, actionable business insights.
• Present findings with clear recommendations, risks, opportunities, and expected business outcomes.
• Support cross-functional strategic initiatives through data-driven analysis.

Strategic Research

• Design and execute structured primary and secondary research methodologies.
• Leverage industry reports, analyst research, customer insights, financial information, public data, and AI-powered research tools.
• Ensure research outputs are accurate, commercially relevant, and aligned with business objectives.

Strategic Questions You'll Help Answer

Your work will contribute to answering strategic questions such as:

• Which industries, markets, and customer segments present the strongest growth opportunities?
• Which emerging technologies and industry trends are most relevant to Antier's long-term strategy?
• Which products, services, or capabilities should be prioritized, expanded, or refined?
• Which geographies and industry verticals offer the greatest potential for business expansion?
• How is the competitive landscape evolving, and how should Antier respond?
• Which strategic partnerships or ecosystem opportunities could accelerate growth?
• What market, customer, or regulatory shifts could impact future business opportunities?
• How can market intelligence be leveraged to support strategic planning and sustainable business growth?

Candidate Profile

We are looking for someone who combines analytical thinking with strong commercial judgment.

The ideal candidate is intellectually curious, enjoys solving ambiguous business challenges, and can connect market insights with strategic business decisions. They should be comfortable working across multiple business functions, synthesizing large volumes of information, and presenting recommendations in a clear, structured, and executive-friendly manner.

Qualifications

• MBA or Postgraduate Degree in Strategy, Finance, Business Analytics, Economics, Marketing, or a related discipline from a reputed institution.
• Bachelor's degree in Engineering, Technology, Business, Economics, or a related field.

Experience

• 5–10 years of experience in Strategic Market Research, Corporate Strategy, Market Intelligence, Management Consulting, Strategic Planning, Business Research, or Growth Strategy.
• Experience in Strategy, Advisory, Market Research, or Growth Consulting within leading consulting firms such as KPMG, McKinsey & Company, Boston Consulting Group (BCG), etc or comparable strategy-focused organizations will be highly preferred.
• Experience supporting executive leadership, Corporate Strategy teams, or the CEO's Office functions will be an advantage.

Core Competencies

• Strategic Market Research
• Corporate Strategy
• Market Intelligence
• Competitive Intelligence
• Growth Strategy
• Strategic Planning
• Business Case Development
• Commercial Analysis
• Financial Analysis
• Product & Portfolio Strategy
• Executive Communication
• Stakeholder Management
• Structured Problem Solving
• Data-Driven Decision Making

Preferred Skills

• Advanced Microsoft Excel for business analysis, financial modelling, and scenario planning.
• Advanced Microsoft PowerPoint for executive presentations and strategic communication.
• Strong expertise in market research, opportunity assessment, commercial analysis, and business case development.
• Ability to leverage AI-powered research and productivity tools to accelerate research, analysis, and strategic decision support.
• Excellent analytical, written, verbal, and presentation skills with the ability to communicate complex ideas clearly.

Success Measures

Success in this role will be measured by the ability to:

• Deliver research-backed insights that support strategic business decisions.
• Identify high-impact growth opportunities and emerging market trends.
• Strengthen Antier's competitive positioning through actionable market and competitive intelligence.
• Support product, portfolio, and market expansion initiatives with evidence-based recommendations.
• Deliver high-quality strategic analysis that contributes to sustainable business growth.

Why Join Antier?

This role offers the opportunity to contribute to high-impact strategic initiatives that shape Antier's future. You will gain exposure to emerging technologies, global markets, corporate strategy, and business transformation while working on initiatives that create long-term business value.

About E2M:

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing .Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together .If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

Role Overview:

We are seeking a highly skilled and client-centric AI Consultant/AI Adoption Specialist to join our growing team. In this pivotal role, you'll serve as a vital link between our clients' strategic objectives and the transformative power of AI. You'll primarily focus on understanding their needs, scoping opportunities, and architecting actionable AI roadmaps.

Key Responsibilities:

• Collaborate closely with clients to understand their challenges and identify opportunities to apply AI.
• Assess client requirements and prepare solution strategies using AI tools and methodologies.
• Work with internal teams to design, propose, and help execute AI-powered solutions.
• Provide AI-based recommendations that align with the client’s business objectives.
• Communicate technical possibilities in a business-friendly manner to decision-makers.
• Take ownership of the client journey from discovery to implementation and support.
• Stay updated with AI trends, tools, and real-world use cases that can benefit clients.

Required Skills & Qualifications:

• Minimum 2+ Years of hands on experience into Custom AI Development.
• Minimum 3+ years of experience in roles like Project Manager, Customer Success Manager, or Account Manager, preferably in a service-based company or digital agency.
• Strong understanding of AI concepts, trends, and tools (e.g., NLP, ML, Chatbots, Automation, native cloud technologies).
•  Some hands-on experience in AI projects – either through execution, coordination, or implementation.
• Ability to manage multiple client engagements and communicate effectively with both technical and non-technical stakeholders.
•  Strong problem-solving mind set with the ability to translate business needs into AI opportunities.
• Flexible to work with international clients, especially in the US time zone as needed.

As an intern for the Artificial Intelligence business automation team, you will be focusing on researching and developing AI tools that automate some parts of our business automation. As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer. 

About the Job :

We are looking for a passionate and driven AI Intern to join our dynamic team. As an intern, you will have the opportunity to work on real-world projects, develop AI models, and collaborate with experienced professionals in the field. This internship is designed to provide hands-on experience in AI and machine learning, offering you the chance to contribute to impactful projects while enhancing your skills.

Job Description:

We are seeking a talented Artificial Intelligence Specialist to join our dynamic team. As an AI Specialist, you will be responsible for developing, implementing, and optimizing AI models and algorithms. You will collaborate closely with cross-functional teams to integrate AI capabilities into our products and services. The ideal candidate should have a strong background in machine learning, deep learning, and natural language processing, with a passion for applying AI to real-world problems.

Responsibilities:

• Design, develop, and deploy AI models and algorithms.
• Conduct data analysis and pre-processing to prepare data for modeling.
• Implement and optimize machine learning algorithms.
• Collaborate with software engineers to integrate AI models into production systems.
• Evaluate and improve the performance of existing AI models.
• Stay updated with the latest advancements in AI research and apply them to enhance our products.
• Provide technical guidance and mentorship to junior team members.

Requirements:

• Any Graduate / Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's degree preferred.
• Proven experience in developing and implementing machine learning models and algorithms.
• Strong programming skills in languages such as Python, R, or Java.

Benefits :

• Internship Certificate
• Letter of Recommendation
• Performance-Based Stipend
• Part-time work from home (2-3 hours per day)
• 5 days a week, fully flexible shift

RapidEye (rapideyeinspections.com) is AI-powered inspection intelligence for physical spaces. We are a US startup and our marketing runs on AI tools. We are hiring one person to run it with us, working directly with the two co-founders.

What you will do:

- Video ads and launch videos, made with AI video tools

- Paid ads: run experiments and track what works

- Growth operations: contact lists, scheduling, outreach support

- More over time, as you prove yourself

Who we want: You use AI tools daily and can make them do hard things. Excellent written English. Precise: you follow instructions exactly and flag ambiguity instead of guessing. Hungry, and looking to grow fast at a startup.

How we hire: apply at https://rapideyeinspections.com/apply/ and we send you a short test. Then a paid trial, then a full-time offer.

Fully remote, full-time, daily check-in with the co-founders. Pay: ₹40,000 to ₹65,000 per month, set by the trial project, with room to grow and promotions.

About the Internship

Nexora Group is looking for passionate and innovative students interested in Artificial Intelligence (AI) and Machine Learning (ML). This internship offers an opportunity to work on real-world AI projects, explore machine learning techniques, and gain hands-on experience with emerging technologies that are transforming industries worldwide.

Interns will collaborate with mentors, work on practical assignments, and develop industry-relevant skills in AI, ML, data-driven decision-making, and intelligent systems.

Key Responsibilities

• Assist in developing and testing Machine Learning models.
• Work on AI-based applications and automation projects.
• Analyze datasets and prepare data for model training.
• Research emerging AI and Machine Learning technologies.
• Evaluate model performance and improve accuracy.
• Create reports and documentation for assigned projects.
• Participate in project discussions, training sessions, and team meetings.
• Support the development of innovative AI-driven solutions.

Required Skills

• Basic knowledge of Python programming.
• Understanding of Artificial Intelligence and Machine Learning concepts.
• Familiarity with data analysis and statistics.
• Knowledge of Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch is a plus.
• Strong analytical and problem-solving skills.
• Ability to learn new technologies quickly.
• Good communication and teamwork skills.

Eligibility

• B.Tech, M.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
• Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Mathematics, or related fields.
• Freshers and recent graduates are encouraged to apply.

What You Will Learn

✅ Artificial Intelligence Fundamentals

✅ Machine Learning Algorithms

✅ Data Preprocessing & Model Training

✅ Generative AI Concepts

✅ Predictive Analytics

✅ AI Project Development

✅ Industry-Oriented Problem Solving

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on AI & ML Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to Real-World AI Applications

What We Do

FlytBase builds the world's leading Physical AI drone autonomy platform, powering mission-critical operations across 300+ enterprise sites in 40+ countries. Its customers include Fortune 500 leaders such as Shell, CSX, UK Police, Airbus, Anglo American, Dole and Statnett. Explore some of our key deployments here - flytbase.com/case-studies.

With a presence in the US and Pune, India, FlytBase is building the nervous system for large industrial sites. The company operates at AI speed, with autonomy and intelligence at its core. Our lean team thrives in a high-agency, high-velocity environment where AI is not a side project, it is the operating system for how we think, build, and grow.

The Role

You're not just booking meetings—you're the first commercial touchpoint for Fortune 500 prospects making their first investment in autonomous site intelligence. You'll qualify inbound leads, run outbound campaigns, and here's the key difference: you'll close deals yourself when they don't need Senior AE involvement.

This is Physical AI sales—autonomous drones that inspect energy sites, mines, and infrastructure 24/7—and you're educating executives who are defining how they think about the category. You'll work across Americas, Europe, and MEAA time zones from our Pune office, using AI tools to make 200 outbound touches feel like 200 handwritten notes.

Top performers own their own region within 12–18 months. We expect you to get there.

What You'll Own

• Pipeline generation: Qualify every inbound lead from website, events, partner referrals—you decide what's real and what's noise

• Outbound prospecting: Target named accounts via email, phone, LinkedIn with focus on competitive displacement and whitespace expansion

• Deal closure: Own and close deals end-to-end when they don't require Senior AE involvement—discovery, demo coordination, proposal, signature

• Marketing partnership: Work with demand gen on campaigns, target lists, event follow-up, and messaging that converts

• Quality handoffs: When routing larger opportunities, deliver buyer context, timeline, budget signals, decision process intel

• Market intelligence: Feed real-time insights on objections, competitor sightings, messaging performance back to product and positioning teams

• AI-powered workflows: Use prospect research, signal detection, and personalized outreach automation to scale your impact

• Regional alignment: Cover your assigned geography's working hours while based in Pune

Best Suited For

• 1–3 years in inside sales, SDR, or early closing roles in B2B SaaS or technical products—you've closed deals yourself, not just qualified them • Strong written and verbal English with ability to hold technical conversations past the first objection

• Experience with outbound tools: Apollo, Clay, LinkedIn Sales Navigator, email sequencing platforms—you can build target lists and run campaigns

• AI-native approach: Already using AI for prospect research, sequence personalization, workflow automation as daily operating system

• Metrics-driven mindset: Comfortable with quota, pipeline targets, conversion tracking—you optimize for outcomes, not activities

• Coachable and relentless: You take feedback, iterate quickly, and don't need scripts to make calls

• Hungry for growth: You see this as a launchpad to owning a region and carrying enterprise quota within 18 months

What Makes You a Flyter

• Ownership without handoffs: You don't just book meetings—you close deals and own outcomes from first touch to signature

• Quality over quantity: You'd rather send 50 researched, personalized outreaches than 500 generic templates

• AI as operating system: You use AI tools to scale personalization, not to automate away the human connection

• Market curiosity: You're genuinely interested in how Fortune 500 companies think about autonomous site operations—it's not just another product to sell

• Growth hungry: You see BDR as a stepping stone, not a destination—you want to own territory and build your own pipeline machine

What We Don't Want

• Meeting bookers who optimize for quantity over quality—if you measure success by dials made rather than pipeline created, this isn't for you • Script-dependent reps who can't hold technical conversations or handle objections without calling for backup

• "That's not my job" mindset—we expect you to own pipeline, close deals, and shape GTM strategy, not just execute tasks

• People treating AI as a novelty rather than a core workflow tool—you should already be using it daily, not learning it here

• Reps who want to set meetings and disappear—you'll own deals through close and feed market intelligence back to the team

Why FlytBase?

• H3 Philosophy: We're building a company that's Happy, Healthy, AND High-Performing. Not as a balance—as a harmony. We move fast without burning out.

• Radical Ownership: You won't need permission to experiment, build, or lead. If you see a problem, you own the solution.

• Mazaa Aayega: Our internal motto. Yes, the work is intense. But it's also deeply meaningful and genuinely fun.

• Systems That Scale: We don't celebrate one-off heroics. We build compounding systems that create leverage.

• In-Person Energy: We work from our Pune office because proximity accelerates everything—ideas, feedback, trust, and impact, but travel globally for customer meetings, tradeshows, and deployments.

The Perks

• High agency team and sense of purpose

• International Travel—we travel to all 6 continents (sorry, no business in Antarctica yet)

• Thought leadership & public speaking opportunities at online & physical events

• No-cap budget for AI tools, courses, or experiments

• Latest tech stack and tools—whatever helps you move faster

• Family Day—Once a year, we transform our office to showcase our work to the people who matter most

• Top-tier health coverage for you • Unlimited leave policy & flexible working hours (no punch-in/out)

• A damn good team to work with

About the role

We are building AI systems that read, understand and act on real business documents, bank statements, financial reports, policy documents and forms and putting them into production where accuracy and cost both matters.

This is not a research role and it is not a prompt-writing role. You will own features end to end: pick and deploy open-source models, build the pipelines around them, measure whether they actually work on our documents, drive the cost per document down, and keep the whole thing running in production.

You will work closely with the engineering and product teams, and your work will be directly used by business users from day one.

What you will do

Deploy and evaluate open-source models

• Select, deploy and benchmark open-source LLMs and vision-language models for specific, narrow use cases not general chat.
• Build evaluation sets from real documents and define what "good" means numerically (field-level accuracy, extraction recall, hallucination rate) before shipping.
• Run structured comparisons between models and approaches, and write up the trade-offs so the team can make a decision.
• Apply quantization, batching and other optimizations to fit models into a sensible GPU budget.

Build and optimize AI orchestration

• Design multi-step pipelines that combine deterministic code, ML models and LLM calls and know when not to use an LLM.
• Optimize for latency, cost and reliability: caching, batching, request routing, fallback tiers, retries and graceful degradation.
• Instrument pipelines so failures are visible and traceable rather than silent.

Ship to production

• Package models and services with Docker, expose them behind clean APIs, and deploy them to our GPU and CPU infrastructure.
• Handle the unglamorous production concerns: cold starts, timeouts, concurrency limits, versioning, rollback and monitoring.
• Own on-call-style responsibility for the AI features you build, including cost tracking.

Must-have skills

Programming & engineering

• Strong Python: type hints, async/await, dataclasses/Pydantic, clean module design, testing.
• REST API development with FastAPI (or Flask/Django with a willingness to move to FastAPI).
• Git, code review discipline, and the ability to write code someone else can maintain.
• Comfortable in Linux and on the command line.

Machine learning fundamentals

• Working knowledge of PyTorch and the Hugging Face ecosystem (transformers, tokenizers, accelerate).
• Understanding of inference-time concepts: tokenization, context windows, batching, precision (FP16/BF16/INT8), memory footprint.
• Ability to read a model card and a paper well enough to judge whether a model fits a use case.

Document processing

• Hands-on experience with at least two of: pypdfium2, PyMuPDF, pdfplumber, pdfminer.six, Docling, Unstructured, Surya, DocTR, LayoutLM family.
• Practical OCR experience (Tesseract, PaddleOCR, or a cloud OCR) and an understanding of when OCR is the wrong tool.
• Experience extracting tables from PDFs and dealing with merged cells, multi-line rows, and inconsistent column layouts.

Strongly preferred

You will be a much stronger candidate with any of these. We do not expect all of them.

Model serving & optimization

• vLLM, TGI, Ollama, llama.cpp, or Triton Inference Server.
• Quantization formats and tooling: GGUF, AWQ, GPTQ, bitsandbytes, ONNX Runtime, INT8 export.
• Serverless GPU platforms: Modal, RunPod, Replicate, Baseten including cold-start and container-lifecycle management.
• LoRA / QLoRA fine-tuning with PEFT for narrow, task-specific improvements.

Vision-language models

• Practical use of open VLMs: Qwen2.5-VL, InternVL, Granite Vision, Molmo, Phi-Vision, or similar.
• Awareness of where VLMs hallucinate especially on numeric and financial content and patterns for constraining them (using the model for layout only, sourcing values from the text layer, constrained decoding).

Orchestration & pipelines

• Workflow orchestration: Dagster, Airflow, Prefect, or Temporal.
• Async job patterns: Celery, RQ, or platform-native spawn/poll patterns.
• LLM orchestration frameworks (LangGraph, LlamaIndex, Haystack) with the judgement to know when plain Python is a better answer.
• Structured output enforcement: Instructor, Outlines, XGrammar, JSON schema / tool-use modes.

Evaluation & observability

• Building golden datasets and regression suites for extraction tasks.
• Eval tooling: promptfoo, DeepEval, Ragas, or in-house harnesses.
• LLM tracing and monitoring: Langfuse, Arize Phoenix, LangSmith, OpenTelemetry.

Nice extras

• Rule engines and policy evaluation (Open Policy Agent / Rego, Drools, rule-engine).
• Experience in fintech, lending, insurance or accounting documents.
• Handling of PII and data-security practices in document pipelines.
• Contributions to open-source ML or document-processing projects.

Why join us

• Real production ownership from month one your work goes to actual users, not a demo.
• Genuinely hard technical problems in document AI, not wrappers over an API.
• Small team, short decision cycles, direct access to leadership.
• Budget and freedom to evaluate and adopt new open-source models as they land.

To apply: send your CV along with a short note on one AI system you have taken to production what it did, what the accuracy was, and what broke.