Qureos Mentor

Catalysts HR

Education: &bull; B.Sc./M.Sc. in Agricultural Sciences, Agronomy, Soil Science, Biotechnology, or Chemistry. &bull; MBA in Agri-Business, Rural Management, or Marketing is preferred. Experience: &bull; 8&ndash;12 years of proven success in institutional/B2B sales within biologicals, specialty chemicals, or advanced agri-inputs. &bull; Strong ability to sell technical, science-backed products in a consultative sales environment. &bull; Established relationships with fertilizer companies, large agri-corporates, and institutional buyers. &bull; Excellent presentation, communication, and techno-commercial skills.Job Types: Full-time, PermanentPay: ₹1,200,000.00 - ₹1,800,000.00 per yearBenefits:<ul><li>Work from home</li></ul>Experience:<ul><li>Total Work: 7 years (Preferred)</li><li>B2B sales: 5 years (Preferred)</li><li>Biologicals or Agri (Industry): 5 years (Preferred)</li></ul>Work Location: In person

Senior Manager – Institutional Sales

Technical Requirements: ● LLM &amp; ML: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama ● LLMOps: MLFlow, Langchain, Langgraph, LangFlow, Langfuse, LlamaIndex, SageMaker, AWS Bedrock, Azure AI ● Databases: MongoDB, PostgreSQL, Pinecone, ChromDB ● Cloud: AWS, Azure ● DevOps: Kubernetes, Docker ● Languages: Python, SQL, JavaScript ● Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert What You'll Do: ● Collaborate with cross-functional teams to design and build scalable ML solutions. ● Implement state-of-the-art ML techniques, including NLP, Generative AI, RAG, and Transformer architectures. ● Deploy and monitor ML models for high performance and reliability. ● Innovate through research, staying ahead of industry trends. ● Build scalable data pipelines following best practices. ● Present key insights and drive decision-making. What You Need to Succeed: ● Master&rsquo;s degree or equivalent experience in Machine Learning. ● 5+ years of industry experience in ML, software engineering, and data engineering. ● Proficiency in Python, PyTorch, TensorFlow, and Scikit-learn. ● Strong programming skills in Python and JavaScript. ● Hands-on experience with ML Ops practices. ● Ability to work with research and product teams. ● Excellent problem-solving skills and a track record of innovation. ● Passion for learning and applying the latest technological advancements.Job Types: Full-time, PermanentPay: ₹3,000,000.00 - ₹5,000,000.00 per yearExperience:<ul><li>Total work: 5 years (Preferred)</li><li>LLM: 3 years (Preferred)</li></ul>Work Location: In person

Senior Machine Learning Engineer

Join Catalysts HR and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Catalysts HR

ABOUT_COMPANY

Senior Manager – Institutional Sales

Senior Machine Learning Engineer