Position: AI/ML Engineer Location: Bangalore or Coimbatore Experience Required: 2-4 years in AI/ML development Role Overview We are looking for a passionate AI/ML Engineer to contribute to the development of AI-powered applications. The role involves building and deploying machine learning models, ensuring performance optimization, and integrating solutions into production environments. Key Responsibilities Develop and train AI/ML models using frameworks like TensorFlow or PyTorch. Implement generative AI solutions such as RAG, agentic AI systems, document extraction, custom model deployment, summarization, and text generation. Create APIs and microservices to integrate models with applications. Preprocess and clean data for high-quality model inputs. Monitor and troubleshoot deployed models to maintain performance. Collaborate with cross-functional teams to enhance AI workflows. Stay updated on the latest advancements in generative AI and integrate them into projects. Required Skills Solid foundation in ML algorithms and concepts. Proficiency in GenAI frameworks like Amazon Bedrock, SageMaker, Hugging Face, and LangChain. Proficiency in Python and libraries like NumPy, Pandas, and Scikit-learn. Familiarity with RAG frameworks, agentic AI solutions, and generative AI. Skills: bedrock,pandas,amazon bedrock,generative ai,sagemaker,python,ml,langchain,hugging face,algorithms,artificial intelligence,amazon,tensorflow,scikit-learn,agents,machine learning,numpy,pytorch,models

Position: GenAI Lead Location: Airoli, Mumbai Experience Required: 6+ years in AI/ML, with 2+ years in GenAI projects Role Overview We are seeking an innovative and strategic GenAI Lead to spearhead our generative AI initiatives. The ideal candidate will lead the development and deployment of GenAI models, driving innovation while aligning solutions with business objectives. Key Responsibilities Lead the design and development of GenAI solutions, including RAG, agentic solutions, fine-tuning models, document extraction, custom model deployment, summarization, text-to-image, and text generation. Work with domain specific AI initiatives in Healthcare domain, like GenAI in medical coding, RCM etc Collaborate with stakeholders to identify use cases and tailor GenAI solutions to meet business requirements. Track the technical initiatives mapped to the project, assign the right technical skills, deliver the project outcomes in an agile manner Architect and implement solutions using frameworks such as Amazon Bedrock and SageMaker. Oversee the development and deployment of advanced RAG techniques and agentic AI systems. Monitor and enhance the performance of deployed models. Drive research and experimentation with cutting-edge generative AI models. Ensure compliance with ethical AI standards and data privacy regulations. Ensure to optimize the GenAI solutions through prompt optimization, batch processing or other techniques Required Skills Proficiency in GenAI frameworks like Amazon Bedrock, SageMaker, Hugging Face, and LangChain. Strong expertise in NLP and computer vision techniques. Ability to design Agentic AI Workflows & Autonomous Agents Experience in MLOps, Model Deployment & Optimization Strong problem-solving and research mindset Proven experience in integrating GenAI solutions into real-world applications. Leadership experience managing cross-functional AI/ML projects. Hands-on expertise with Python, TensorFlow, PyTorch, and related AI libraries. Ability to design Agentic AI Workflows & Autonomous Agents Experience in MLOps, Model Deployment & Optimization Strong problem-solving and research mindset Skills: model deployment,bedrock,optimization,nlp techniques,python,genai frameworks (amazon bedrock, sagemaker, hugging face, langchain),autonomous agents,mlops,computer vision techniques,amazon,tensorflow,agents,aws,model optimization,pytorch,agentic ai workflows,models,design

Job Title: Presales Consultant – Generative AI on AWS Experience: Minimum 3 years Location: Bengaluru or Mumbai, India Job Summary Shellkode is seeking a dynamic and knowledgeable Presales Consultant specializing in Generative AI solutions on Amazon Web Services (AWS). The ideal candidate will possess a strong technical background in AI/ML, coupled with excellent communication and presentation skills, to effectively engage with clients and drive the adoption of our Generative AI offerings. Key Responsibilities Client Engagement: Collaborate with sales teams to understand customer requirements and provide expert guidance on Generative AI solutions. Solution Design: Design and deliver compelling Solution and SoW and demonstrations of our Generative AI offerings to both technical and non-technical audiences. Technical Expertise: Maintain an in-depth knowledge of AWS's Generative AI services and relevant cross-functional areas to build strong relationships with customers. Proposal Development: Develop custom solutions and proposals that meet client needs, showcasing the value of our Generative AI capabilities. Market Analysis: Stay abreast of industry trends and advancements in Generative AI to inform product roadmaps and enhance the customer experience. Qualifications Educational Background: Bachelor’s degree in Computer Science, Engineering, or a related field. Experience: Minimum of 3 years in technical presales or solutions architecture, with a focus on AI/ML technologies. Technical Skills: Strong understanding of AWS Generative AI technologies and their application in business contexts. Familiarity with AWS AI platforms including Amazon SageMaker, Amazon Bedrock, and other AI/ML services. Communication Skills: Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders. Problem-Solving: Proven ability to develop custom solutions and proposals that meet client needs. Team Collaboration: Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously. Certifications: AWS Certified Solutions Architect or equivalent is a plus. Preferred Qualifications Experience with building, validating, and deploying Generative AI models and applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as PyTorch, TensorFlow, JAX, or MXNet. Knowledge of MLOps tools and workflows for model development, validation, and deployment. Experience in design, implementation, or consulting in applications and infrastructures. Additional Information Travel: Willingness to travel as needed to support sales efforts. Work Environment: Collaborative and innovative work culture with opportunities for continuous learning and career growth. Skills: ai/ml,jax,generative ai,pytorch,agents,sagemaker,amazon bedrock,presentation skills,mlops,project management,team collaboration,tensorflow,machine learning,mxnet,aws,bedrock,problem-solving,communication,amazon sagemaker,presentation,technical documentation,rag,proposal development,proposal generation,data analysis,solution design

Position: GenAI Lead Location: Airoli, Mumbai, HSR, Bangalkore Experience Required: 6+ years in AI/ML, with 2+ years in GenAI projects Role Overview We are seeking an innovative and strategic GenAI Lead to spearhead our generative AI initiatives. The ideal candidate will lead the development and deployment of GenAI models, driving innovation while aligning solutions with business objectives. Key Responsibilities Lead the design and development of GenAI solutions, including RAG, agentic solutions, fine-tuning models, document extraction, custom model deployment, summarization, text-to-image, and text generation. Work with domain specific AI initiatives in Healthcare domain, like GenAI in medical coding, RCM etc Collaborate with stakeholders to identify use cases and tailor GenAI solutions to meet business requirements. Track the technical initiatives mapped to the project, assign the right technical skills, deliver the project outcomes in an agile manner Architect and implement solutions using frameworks such as Amazon Bedrock and SageMaker. Oversee the development and deployment of advanced RAG techniques and agentic AI systems. Monitor and enhance the performance of deployed models. Drive research and experimentation with cutting-edge generative AI models. Ensure compliance with ethical AI standards and data privacy regulations. Ensure to optimize the GenAI solutions through prompt optimization, batch processing or other techniques Required Skills Proficiency in GenAI frameworks like Amazon Bedrock, SageMaker, Hugging Face, and LangChain. Strong expertise in NLP and computer vision techniques. Ability to design Agentic AI Workflows & Autonomous Agents Experience in MLOps, Model Deployment & Optimization Strong problem-solving and research mindset Proven experience in integrating GenAI solutions into real-world applications. Leadership experience managing cross-functional AI/ML projects. Hands-on expertise with Python, TensorFlow, PyTorch, and related AI libraries. Ability to design Agentic AI Workflows & Autonomous Agents Experience in MLOps, Model Deployment & Optimization Strong problem-solving and research mindset Skills: model deployment,bedrock,optimization,amazon bedrock,nlp techniques,sagemaker,python,genai frameworks,langchain,hugging face,autonomous agents,mlops,computer vision techniques,amazon,tensorflow,agents,aws,pytorch,agentic ai workflows,models,design

Required: 8+ years in enterprise sales, with proven AWS services selling experience Role Overview We are seeking an accomplished Enterprise Account Manager to drive AWS cloud adoption and revenue growth within the Financial Services Industry (FSI), including banking, insurance, Fintech, and capital markets. The ideal candidate will have a strong track record in enterprise account management, specifically selling AWS services, and closing high-value deals (average ticket size above $250,000). This role requires deep customer relationship management skills, the ability to lead a regional sales team, and familiarity with the AWS ecosystem and partner programs. Key Responsibilities Build and execute a comprehensive sales strategy to increase AWS adoption and market penetration in large FSI accounts (banks, insurance, NBFCs, Mntechs). Develop and maintain long-term strategic relationships with key stakeholders, including C-level executives in business and IT. Drive the full sales cycle: prospecting, solution positioning, proposal development, contract negotiation, and deal closure, focusing on opportunities with average ticket sizes above $250,000. Lead and develop a regional sales team, setting clear objectives, providing coaching, and ensuring achievement of revenue targets. Collaborate with AWS partners and internal cross-functional teams (channels, solutions architects, marketing) to deliver tailored solutions and maximize customer value. Articulate compelling value propositions around AWS services, including cloud, infrastructure, and generative AI, to solve complex FSI business challenges. Maintain accurate sales forecasts, pipeline management, and regular business reporting using CRM tools. Prepare and deliver business reviews and presentations to senior management and customer executives. Ensure high levels of customer satisfaction and act as a trusted advisor throughout the customer lifecycle. Stay current with industry trends, AWS partner programs, and the evolving needs of the FSI sector. Required Qualifications Minimum 8 years of experience in enterprise sales, with at least 3 years selling AWS or equivalent cloud services to FSI clients. Demonstrated success in closing enterprise deals with average ticket sizes exceeding $250,000 ( Ideally 150k -250k ) Proven ability to build strong, trust-based customer relationships at the executive level. Experience in leading and mentoring regional or cross-functional sales teams. Deep understanding of the financial services sector’s business drivers, regulatory environment, and technology landscape. Strong knowledge of the AWS ecosystem, including partner programs and cloud solution architectures. Excellent communication, negotiation, and presentation skills. proficiency in CRM tools (e.g., Salesforce/ Zoho CRM) and sales reporting. A bachelor’s degree is required; an MBA degree is preferred. Preferred Qualifications Experience selling to large FSI enterprises in Mumbai Familiarity with capital markets, Insurance, and Banking industries Technical background in engineering, computer science, or related field. Familiarity with AWS partner ecosystem and go-to-market strategies. Key Competencies Strategic account planning and execution Team leadership and people development Solution selling and consultative sales approach Relationship building and stakeholder management Results-driven with a focus on exceeding targets High integrity, self-motivated, and proactive About The Team You will join a high-performing AWS sales team focused on the Financial Services vertical, collaborating with some of the industry’s most innovative organizations. Our culture values diversity, continuous learning, and work-life harmony. If you are a results-oriented sales leader with a passion for cloud technology and deep experience in the FSI sector, we invite you to apply and help shape the future of Financial services with AWS. Skills: crm tools,cloud technology,customer relationship management,enterprise,presentation skills,sales strategy development,team leadership,fsi,enterprise sales,negotiation,stakeholder management,aws services,financial services,aws,cloud Show more Show less