Eternus Solutions

Eternus Solutions specializes in providing advanced IT solutions with a focus on cloud computing, managed IT services, and cybersecurity solutions.

3 Job openings at Eternus Solutions
Executive Product Marketing pune,maharashtra 4 - 8 years INR Not disclosed On-site Full Time

As a key member of our team, you will play a crucial role in identifying opportunities and risks for delivering our company's services in collaboration with the sales department. Your responsibilities will include managing digital projects encompassing online planning, insight, promotions, content production, online display advertising, SEO, web building, design, and social media. You will be tasked with managing high-quality acquisition programs, campaigns, and activities across our business's online platforms. This includes overseeing SEO/SEM, SMO, PPC campaigns, marketing database, email, social media, and display advertising campaigns. Additionally, you will be responsible for designing, building, and maintaining our social media presence. A key aspect of your role will involve measuring and reporting the performance of all digital marketing campaigns and assessing them against goals such as ROI and KPIs. You will need to identify trends and insights, optimize spend and performance based on these insights, and innovate new growth strategies. Furthermore, you will be involved in planning, executing, and measuring experiments and conversion tests to drive continuous improvement. Collaboration with internal teams to create landing pages and enhance user experience will be essential. Your strong analytical abilities will be utilized to evaluate the end-to-end customer experience across various channels and touchpoints. You will also work with agencies and other vendor partners, evaluate emerging technologies, and provide thought leadership for their adoption when appropriate. We are looking for someone with demonstrable experience in leading and managing SEO/SEM, marketing database, email, social media, and display advertising campaigns. Creativity in identifying target audiences and devising engaging digital campaigns is highly valued, as is experience in optimizing landing pages and user funnels. Knowledge of Email Marketing Platforms and Marketing Automation Tools would be advantageous. The ideal candidate should have a proven track record of scaling digital marketing teams across different channels and building profitable marketing teams. Strong quantitative and analytical skills are required, along with the ability to analyze data from multiple platforms and provide insights for enhancing scale and efficiency. Keeping abreast of the latest trends and best practices in online marketing and measurement is essential. Skills required for this role include at least 4 years of hands-on experience in scaling digital marketing teams, familiarity with various digital marketing channels (SEO, SEM, content, etc.), and the ability to devise strategies across all channels. Preference will be given to candidates with connections to influencers in the domain, and Engineers & MBA graduates from Tier A institutions are encouraged to apply. If you meet these qualifications, please send your resume to careers@eternussolutions.com.,

Generative AI Professional indore,pune 4 - 9 years INR 13.0 - 17.0 Lacs P.A. Work from Office Full Time

Design, train, evaluate, and deploy traditional ML models as well as Generative AI-based applications. Work on supervised, unsupervised, and deep learning models including regression, classification, clustering, and sequence models. Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation. Develop and optimize LLM-based workflows using LangChain, LangGraph, and orchestration frameworks. Fine-tune, evaluate, and integrate LLMs such as GPT, LLaMA, Claude, Mistral, Falcon, Cohere, and Gemini. Implement Retrieval-Augmented Generation (RAG) using embeddings and vector stores like FAISS, Pinecone, or Chroma. Apply prompt engineering, LoRA, PEFT, and adapter-based fine-tuning to optimize LLMs for specific tasks. Build Agentic AI systems with tool-use capabilities and reasoning chains (e.g., ReAct, AutoGPT, BabyAGI, CrewAI). Use Hugging Face for leveraging pre-trained models and datasets for rapid experimentation. Collaborate with product, data, and engineering teams to productionize AI solutions using scalable cloud infrastructure. Why you will love this role Besides a competitive package, an open workspace full of smart and pragmatic team members, with ever-growing opportunities for professional and personal growth Be a part of a learning culture where teamwork and collaboration are encouraged, diversity is valued and excellence, compassion, openness and ownership is rewarded

AI ML Lead indore,pune 2 - 3 years INR 4.0 - 5.0 Lacs P.A. Work from Office Full Time

What will your role look like Design AI solutions using both traditional ML and GenAI approaches based on problem needs Lead end-to-end implementation of ML projects including data preparation, model development, deployment, and monitoring Build GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks (e.g., LangChain, LangGraph) Conduct research and proof-of-concepts to evaluate emerging GenAI models and techniques Guide and mentor junior engineers; review designs, architecture, and code quality Develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, Cohere, etc. Build agentic AI systems involving tool use, memory, and reasoning frameworks Ensure AI models are robust, explainable, and cost-efficient in production Collaborate with stakeholders to understand business goals and translate them into technical solutions Communicate complex AI concepts to both technical and non-technical audiences. This is a strategic role where you will play a key part in shaping our AI offerings, guiding teams, and solving complex problems using both modern and established AI techniques. Why you will love this role Besides a competitive package, an open workspace full of smart and pragmatic team members, with ever-growing opportunities for professional and personal growth Be a part of a learning culture where teamwork and collaboration are encouraged, diversity is valued and excellence, compassion, openness and ownership is rewarded. We would like you to bring along Experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. Experience in classical AI/ML and 2 3 years in GenAI, total 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. 6 7 years in traditional ML/DL, including regression, classification, clustering, NLP, time series forecasting, and deep learning techniques such as feedforward networks, CNNs, RNNs, LSTMs, GRUs, and attention-based models for structured, unstructured, and sequential data 2 3 years in Generative AI (LLMs, embeddings, RAG, fine-tuning, prompt engineering) Experience with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers Understanding of ML lifecycle: data wrangling, feature engineering, model training, evaluation, and deployment Deep experience with LLMs such as GPT, LLaMA, Mistral, Claude, or Gemini and tools like LangChain, LangGraph, and LLamaIndex Experience building agentic AI solutions (e.g., AutoGPT, ReAct, CrewAI, BabyAGI) Proficiency with vector databases (FAISS, Pinecone, Weaviate, Chroma) and embedding models (OpenAI, Cohere, BGE, etc.) Excellent communication and presentation skills Strong research mindset with the ability to quickly learn and adapt to new GenAI technologies Ability to assess trade-offs between classic and generative AI techniques and recommend the best-fit approach Share this Listing If creating WOW! is your mission, there is no place better than InfoBeans Role: NA Location: Indore/Pune Max File size 5 MB File can be PDF, DOC, DOCX, PPT, PPTX, IMAGE or ZIP Please upload the valid file format File size exceeds the limit of 5 MB. Please choose a smaller file. Please fill the required fields InfoBeans collects the information you provide for the sole purpose of considering your interest in employment with InfoBeans. For further information on how InfoBeans processes the personal data you submit here, please read our Privacy Policy

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Eternus Solutions