Company Description Aligned Automation enables businesses to make quick, accurate, and sustainable business. Better Together philosophy towards building a better world. Aligned Automation is a strategic service provider that partners with Fortune 500 leaders to digitize enterprise operations and enable business strategies. We believe we can create positive, lasting change in the way our clients work while advancing the global impact of their business solutions for a more optimistic and better world. We are passionate about building and sustaining an inclusive and equitable workplace where all people can develop and thrive. Enriched by our 4Cs Care, Courage, Curiosity, and Collaboration our culture supports solutions that empower the possible . Role Description This is a full-time on-site role for a .NET Full Stack Developer located in Pune. The .NET Full Stack Developer will be responsible for both front-end and back-end web development tasks, software development, and ensuring the application of best practices across the full stack. Daily tasks include coding, testing, debugging, and collaborating with cross-functional teams to design and deliver high-quality solutions. Skills .Net, C#, SQL, Angular/React,AWS/AZURE. Strong organizational and project management skills. Net, C#, SQL, Angular/React. Proficiency with developing applications on the Cloud such as Azure, AWS, and GPC. Proficiency with fundamental front end languages such as HTML, CSS, and JavaScript. Familiarity with JavaScript frameworks such as Vue JS, Angular JS, and React. Familiarity with database technology such as SQL Server, PostgreSQL, MySQL, and MongoDB. Excellent verbal communication skills. Good problem-solving skills. Total Exp 5+ Years. Immediate to 15 Days. Location : Pune/ Indore. Working Mode : Full Time. (ref:hirist.tech) Show more Show less
Job Summary We are seeking a proactive and detail-oriented Application Managed Services Specialist to act as a critical liaison between business units and IT development teams. The ideal candidate will analyze business goals and translate them into effective IT solutions, ensuring seamless integration and support of application systems. You will help optimize application performance, document system components and relationships, and drive continuous improvement Responsibilities : Serve as the primary interface between business stakeholders and IT system development teams to understand and translate business needs into application requirements. Conduct thorough analysis of business goals, objectives, and processes to identify areas for IT-driven improvements. Develop, maintain, and communicate detailed documentation on application components, system architecture, and their interrelationships. Collaborate with business analysts, developers, and QA teams to ensure application solutions meet business requirements and deliver value. Monitor application performance and support incident management, escalation, and resolution processes. Assist in change management and release activities related to application enhancements and fixes. Participate in requirements gathering, feasibility studies, and impact assessments for new projects or system changes. Ensure compliance with organizational standards, policies, and regulatory requirements related to application management. Facilitate user acceptance testing (UAT) and provide training or support materials to end-users as needed. Identify opportunities for process automation, application optimization, and operational efficiency Skills & Qualifications : Bachelors degree in Computer Science, Information Systems, Business Administration, or a related field. 3+ years of experience in application management, business analysis, or IT liaison roles. Strong understanding of software development life cycle (SDLC) and application support processes. Proven ability to analyze complex business processes and translate them into technical requirements. Excellent documentation skills, with experience creating functional specifications, workflows, and system diagrams. Strong communication and interpersonal skills to effectively engage with technical teams and business users. Familiarity with IT service management (ITSM) tools and practices (e.g., ServiceNow, JIRA). Basic knowledge of relevant technologies (databases, middleware, web services) and integration concepts. Experience with change management and release management processes (ref:hirist.tech) Show more Show less
Company Description Aligned Automation is dedicated to helping businesses make quick, accurate and sustainable decisions in a rapidly evolving world. We specialize in digitally enabling business strategies by connecting processes, technologies, and people to unlock value and drive critical business outcomes. Our aim is to simplify the transformation journey, making it less painful and more efficient for our clients. With a focus on delivering tangible results, we believe in the power of digital solutions to improve business operations and achieve success. Role Description This is a full-time on-site role for a Lead Data Scientist, located in Pune. The Lead Data Scientist will be responsible for end-to-end ownership of AI/ML and Generative AI solutions, right from problem discovery to model deployment. This includes leading a team of data scientists, managing project delivery, and designing high-impact AI/ML systems. The role combines technical expertise in ML/GenAI, delivery ownership, and team leadership. The ideal candidate should be capable of building models using traditional and generative techniques, collaborating with cross-functional teams, engaging with clients, and enabling scalable solutions through best practices in MLOps and AI innovation. This individual will also play a key role in mentoring junior team members and contributing to solutioning in client pre-sales and delivery. Qualifications 8+ years of industry experience in data science, including 2+ years in a leadership capacity Strong background in Machine Learning, Deep Learning and Generative AI (e.g. LLM, SLM, RAG, LangChain, LanGraph) Hands-on expertise in Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost Experience deploying models to production with understanding of MLOps, API integration and CI/CD pipelines Proven track record of delivering complex projects across domains and working in agile environments Exposure to multi-agent systems, prompt engineering, and LLM-based workflows is a plus Ability to manage stakeholder expectations, scope technical delivery, and provide actionable insights Effective communicator with the ability to translate complex models into business impact Passionate about mentoring and growing high-performing data science teams Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field Experience in the technology, consulting, or automation industry is a strong plus
Key Responsibilities: Build, train, and validate machine learning models for prediction, classification, and clustering to support NBA use cases. Conduct exploratory data analysis (EDA) on both structured and unstructured data to extract actionable insights and identify behavioral drivers. Design and deploy A/B testing frameworks and build pipelines for model evaluation and continuous monitoring. Develop vectorization and embedding pipelines using models like Word2Vec, BERT, to enable semantic understanding and similarity search. Implement Retrieval-Augmented Generation (RAG) workflows to enrich recommendations by integrating internal and external knowledge bases. Collaborate with cross-functional teams (engineering, product, marketing) to deliver data-driven Next Best Action strategies. Present findings and recommendations clearly to technical and non-technical stakeholders. Required Skills & Experience: Strong programming skills in Python, including libraries like pandas, NumPy, and scikit-learn. Practical experience with text vectorization and embedding generation (Word2Vec, BERT, SBERT, etc.). Proficiency in Prompt Engineering and hands-on experience in building RAG pipelines using LangChain, Haystack, or custom frameworks. Familiarity with vector databases (e.g., PostgreSQL with pgvector, FAISS, Pinecone, Weaviate). Expertise in Natural Language Processing (NLP) tasks such as NER, text classification, and topic modeling. Sound understanding of supervised learning, recommendation systems, and classification algorithms. Exposure to cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) is a plus. Experience – 5+ years Job Type: Full-time Pay: ₹800,000.38 - ₹3,000,000.60 per year Benefits: Health insurance Paid time off Schedule: Day shift Location: Viman Nagar, Pune, Maharashtra (Preferred) Work Location: In person
As a DataOps Engineer, you will play a crucial role within our data engineering team, operating in the realm that merges software engineering, DevOps, and data analytics. Your primary responsibility will involve creating and managing secure, scalable, and production-ready data pipelines and infrastructure that are vital in supporting advanced analytics, machine learning, and real-time decision-making capabilities for our clientele. Your key duties will encompass designing, developing, and overseeing the implementation of robust, scalable, and efficient ETL/ELT pipelines leveraging Python and contemporary DataOps methodologies. You will also be tasked with incorporating data quality checks, pipeline monitoring, and error handling mechanisms, as well as constructing data solutions utilizing cloud-native services on AWS like S3, ECS, Lambda, and CloudWatch. Furthermore, your role will entail containerizing applications using Docker and orchestrating them via Kubernetes to facilitate scalable deployments. You will collaborate with infrastructure-as-code tools and CI/CD pipelines to automate deployments effectively. Additionally, you will be involved in designing and optimizing data models using PostgreSQL, Redis, and PGVector, ensuring high-performance storage and retrieval while supporting feature stores and vector-based storage for AI/ML applications. In addition to your technical responsibilities, you will be actively engaged in driving Agile ceremonies such as daily stand-ups, sprint planning, and retrospectives to ensure successful sprint delivery. You will also be responsible for reviewing pull requests (PRs), conducting code reviews, and upholding security and performance standards. Your collaboration with product owners, analysts, and architects will be essential in refining user stories and technical requirements. To excel in this role, you are required to have at least 10 years of experience in Data Engineering, DevOps, or Software Engineering roles with a focus on data products. Proficiency in Python, Docker, Kubernetes, and AWS (specifically S3 and ECS) is essential. Strong knowledge of relational and NoSQL databases like PostgreSQL, Redis, and experience with PGVector will be advantageous. A deep understanding of CI/CD pipelines, GitHub workflows, and modern source control practices is crucial, as is experience working in Agile/Scrum environments with excellent collaboration and communication skills. Moreover, a passion for developing clean, well-documented, and scalable code in a collaborative setting, along with familiarity with DataOps principles encompassing automation, testing, monitoring, and deployment of data pipelines, will be beneficial for excelling in this role.,
As a DataOps Engineer, you will play a crucial role within our data engineering team, blending elements of software engineering, DevOps, and data analytics. Your primary responsibility will involve the development and maintenance of secure, scalable, and high-quality data pipelines and infrastructure to support our clients" advanced analytics, machine learning, and real-time decision-making needs. Your key responsibilities will include designing, developing, and managing robust ETL/ELT pipelines utilizing Python and modern DataOps methodologies. Additionally, you will implement data quality checks, pipeline monitoring, and error handling mechanisms. Building data solutions on AWS cloud services like S3, ECS, Lambda, and CloudWatch will be an integral part of your role. Furthermore, containerizing applications with Docker and orchestrating them using Kubernetes for scalable deployments will be part of your daily tasks. You will work with infrastructure-as-code tools and CI/CD pipelines to automate deployments efficiently. Moreover, designing and optimizing data models using PostgreSQL, Redis, and PGVector for high-performance storage and retrieval will be essential. Supporting feature stores and vector-based storage for AI/ML applications will also fall under your responsibilities. You will drive Agile ceremonies such as daily stand-ups, sprint planning, and retrospectives to ensure successful sprint delivery. Additionally, reviewing pull requests (PRs), conducting code reviews, and enforcing security and performance standards will be part of your routine. Collaborating closely with product owners, analysts, and architects to refine user stories and technical requirements will also be crucial for the success of the projects. As for the required skills and qualifications, we are looking for someone with at least 10 years of experience in Data Engineering, DevOps, or Software Engineering roles focusing on data products. Proficiency in Python, Docker, Kubernetes, and AWS (especially S3 and ECS) is essential. Strong knowledge of relational and NoSQL databases like PostgreSQL, Redis, and experience with PGVector would be a strong advantage. Deep understanding of CI/CD pipelines, GitHub workflows, and modern source control practices is also required. Experience working in Agile/Scrum environments with excellent collaboration and communication skills is a must. A passion for developing clean, well-documented, and scalable code in a collaborative environment is highly valued. Familiarity with DataOps principles, encompassing automation, testing, monitoring, and deployment of data pipelines, is also beneficial.,
The Full Stack Specialist position at Aligned Automation, based in Pune, Maharashtra, India, involves working towards a common goal of creating a better world through automation solutions. Aligned Automation collaborates with Fortune 500 companies to digitalize enterprise operations and drive business strategies with a focus on positive and sustainable change. The company is committed to fostering an inclusive and diverse workplace culture, guided by the values of Care, Courage, Curiosity, and Collaboration. As a Full Stack Specialist at Aligned Automation, you will be responsible for: - Demonstrating strong organizational and project management skills with expertise in .Net, C#, SQL, and Angular/React. - Developing applications on cloud platforms like Azure, AWS, and GPC. - Proficiency in front-end languages including HTML, CSS, and JavaScript. - Working with JavaScript frameworks such as Vue JS, Angular JS, and React. - Utilizing database technologies such as SQL Server, PostgreSQL, MySQL, and MongoDB. - Programming in server-side languages like C#, Golang, Python, Ruby, Java, and PHP. - Implementing Test-Driven Development practices. - Possessing excellent verbal communication and problem-solving abilities. - Experience in DevOps using CI/CD pipelines like Azure Pipelines. - Working in agile and scrum methodologies. - Familiarity with cloud-hosted database technologies and PaaS databases such as Azure SQL, Cosmos DB, and Dynamo DB. If you are a proactive and skilled individual with a passion for technology and innovation, this role offers an opportunity to contribute to impactful projects and be part of a dynamic team dedicated to driving positive change in the industry. Join us at Aligned Automation and be a part of a culture that values creativity, collaboration, and continuous learning.,
About the role A ‘Better Together’ philosophy towards building a better world. Aligned Automation is a strategic service provider that partners with Fortune 500 leaders to digitize enterprise operations and enable business strategies. We believe we can create positive, lasting change in the way our clients work while advancing the global impact of their business solutions for a more optimistic and better world. We are passionate about building and sustaining an inclusive and equitable workplace where all people can develop and thrive. Enriched by our “4C’s” – Care, Courage, Curiosity, and Collaboration – our culture supports solutions that empower the possible . Aligned Automation offer services by partnering with global firms to solve complex business problems by creating AI-powered, data-smart solutions and sustaining progress with expert services. Role: Data Scientist, Generative AI Years Of Experienc: 11+ Years Job Description - As a Consultant and with service delivery as your primary focus, you will be responsible for providing both business and technical services for a range of customer-facing consulting activities that specialize in Generative AI. Your role will involve aiding customers as they plan and strategize their Generative AI initiatives. Your technical proficiency and customer-facing knowledge, in addition to strong and trustworthy partnership, is necessary to cultivate customer relationships and ensure clarity of project objectives. The necessary requirements for this position are listed below Requirement and skills Candidate should have 5+ years of experience in the fields of Artificial Intelligence and Big Data with 5+ years of progressive professional growth in a customer-facing services delivery role. · Must have the ability to lead discussions with C-level customer roles, drive consensus, create strategic roadmaps, and engage data scientists on exploring existing and future ecosystems. · Possess deep knowledge of Generative AI, particularly with model selection, data preparation for GenAI training, model finetuning and customization, and guardrail implementation; understanding of the GenAI tooling ecosystem including Kubernetes, MLops, and AIops tools. · Ability to gain customer trust, plan, organize, and drive customer workshops, and present findings. · Demonstrated capacity to articulate complex concepts, build consensus and deliver outstanding work products. · Proven experience in conducting architectural analyses, benefits analyses, and discoveries related to IT engagements. · Must have prior experience working directly with clients, providing engaging presentations and accurate documentation while leading workshops and interviews. · The ideal candidate should be able to deliver tailored technology services on an enterprise-wide level while adhering to margin, planning and SOW requirements. · On-site customer workshops may be required. · Familiarity with Nvidia AI tools, including Bright Command Manager, Nemo Framework, and Triton Inference Server · Proficiency in Large Language Models (LLM) · Competency using MLOps and AIOps tools such as cnvrg.io, mlfow, and Domino · Expertise in Lean and Iterative Deployment Methodologies · Educational Background in Machine Learning is an asset · Certifications in relevant fields is preferred Request you to please go through the details and acknowledge your interest towards this role. We will take it forward from here accordingly .
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