Model Deployment Jobs in Pune

AI/ML Engineer Experience: 2 3 Years Education: BBA, BSc, BTech/BE, MSc, MTech, MCA Location: Pune About the Role We are seeking a passionate AI/ML Engineer to design, build, and scale production-grade AI systems that power our platform. You will work on real-world AI problems such as document intelligence, real-time voice AI, and intelligent job-to-candidate matching systems. This role requires strong hands-on experience in LLM engineering, backend development, and AI system productionization. Required Skills Python (FastAPI) LangChain, LlamaIndex OpenAI API, Anthropic Good to Have Postgres (Pgvector), Supabase Redis Docker LangSmith GitHub Actions Roles & Responsibilities Build Agentic Workflows: Design and deploy AI agents capable of reasoning and decision-making using LangChain or LlamaIndex. Develop Voice AI Systems: Build low-latency, real-time conversational voice bots for candidate outreach using WebSockets, STT, and TTS, ensuring effective context retention and state management. Engineer Data Pipelines: Create robust parsing systems that enforce strict JSON outputs from LLMs for resume data extraction, along with data cleaning pipelines for unstructured formats (PDF/DOCX). Implement Advanced RAG Systems: Develop retrieval pipelines using Pgvector or Pinecone with hybrid search (semantic + keyword) for accurate job-to-candidate matching. Productionize & Monitor AI Systems: Set up tracing and observability using LangSmith to debug chains, monitor token usage, and optimize performance and cost. Backend Integration: Package AI logic into scalable, asynchronous microservices using FastAPI and Docker. Technical Requirements 1. Generative AI & LLM Engineering Experience enforcing structured JSON outputs using function calling. Strong prompt engineering skills (Chain-of-Thought, Few-Shot). Hands-on experience orchestrating complex AI pipelines using LangChain or LlamaIndex. 2. Voice AI & Real-Time Processing Experience with STT/TTS APIs (e.g., Whisper, Deepgram). Strong understanding of WebSockets and async programming for real-time audio streaming. Ability to design conversation managers with memory and context handling. 3. Search & Data (RAG) Experience with vector databases such as Pgvector, Pinecone, or Qdrant. Expertise in chunking, cleaning, and ingesting unstructured data. 4. MLOps & Production Engineering Observability and tracing using LangSmith. Writing automated AI evaluation scripts to test prompts before deployment. Experience optimizing cost by balancing model performance and token usage. 5. Core Backend Engineering Strong Python skills with FastAPI. Proficiency in async/await patterns for concurrent processing. Experience with Docker and relational databases (SQL). 6. Machine Learning & Algorithms Understanding of recommendation systems (Collaborative Filtering, Two-Tower models). Experience with ranking and re-ranking techniques (LTR, Cross-Encoders). Familiarity with traditional ML models using Scikit-learn or XGBoost. The Applied Mindset We Value Model Strategy: Ability to choose the right model based on cost, latency, and intelligence requirements. Security First: Awareness of prompt injection and jailbreaking risks and strategies to mitigate them. Hallucination Control: Strong grounding techniques to ensure factual and reliable AI outputs. Tech Stack Overview Languages: Python (FastAPI) AI & Orchestration: LangChain, LlamaIndex, OpenAI API, Anthropic Voice AI: Deepgram, Twilio Databases: Postgres (Pgvector), Supabase, Redis DevOps & MLOps: Docker, LangSmith, GitHub Actions Qualification : BBA, BSc, BTech/BE, MSc, MTech, MCA

AI Platform Engineer II Location: Pune Overview At Rapid7, we are looking for an AI Platform Engineer to help us build production-ready, agent-based AI experiences on Google Cloud (Vertex AI) and OpenAI platforms. You will be directly responsible for developing and shipping features such as AI agents, tools, and lightweight UIs that plug into our internal systems and data, driving productivity improvements across the company. As part of the AI Platform team, you will be involved in designing, implementing, and refining AI models and tools that integrate seamlessly with enterprise systems, while ensuring reliability, security, and scalability. Key Responsibilities Agentic Development with Vertex AI: Design and implement multi-step agents using Vertex AI (Agent Builder / Gemini), incorporating agent behaviors such as tool use, memory, and evaluation loops to create intelligent, autonomous workflows. MCP & Tool Integrations: Develop Model Context Protocol (MCP) connectors and API integrations that enable agents to interact with enterprise systems while maintaining least-privilege access and security standards. RAG & Data Grounding: Implement retrieval-augmented generation (RAG), utilizing vector stores, embeddings, and schema-aware prompts, while ensuring agents produce accurate and auditable outputs through robust guardrails. Vertex-based UI for Agents: Prototype intuitive chat interfaces and task UIs, including features like session history, tool invocation panels, and feedback widgets. Embed AI agents into existing internal applications to streamline workflows and improve user experience. Integration & Data Access: Connect AI agents to internal APIs and enterprise data sources (e.g., BigQuery, REST APIs, webhooks) using Google Cloud tools, ensuring smooth data access and system integration. Quality & Telemetry: Define key performance indicators (KPIs) such as quality, latency, and cost-efficiency for AI-powered features. Implement logging, monitoring, and observability to track performance and run structured experiments to improve agent behavior and outcomes. Requirements Experience 2 3 years of hands-on experience in software or AI application engineering, with a focus on creating and deploying custom AI agents, particularly using Gemini / Vertex AI Agent Builder. Technical Skills Proficiency with Google Cloud (Vertex AI, BigQuery, Cloud Run/Functions) and at least one large language model (LLM) API (e.g., OpenAI or Gemini). Experience building small end-to-end features, including backend APIs, agent logic, and basic UI for demos and production environments. Familiarity with agent frameworks such as LangGraph or LangChain, and common agent patterns like tool use, planning, and memory management. Knowledge of retrieval-augmented generation (RAG), including chunking, embeddings, and retrieval, along with prompt testing and evaluation. Collaboration Skills Ability to work cross-functionally with security, data, and application teams to ensure safe and efficient deployment of AI-driven solutions. Nice to Have Experience with GCP IAM, secrets management, and enterprise compliance considerations. Familiarity with Vertex AI Search, vector databases, or event/webhook architectures. Interest in emerging AI standards, MCP, responsible AI practices, and optimization for cost/performance. About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, industry, and communities. We empower our employees to challenge the status quo and drive transformative change. With over 11,000 customers relying on us for cybersecurity protection, we continue to innovate and solve some of the most challenging problems in the industry. Security and Compliance Rapid7 is committed to safeguarding our customers' security. All employees uphold the highest standards of security and privacy, ensuring sensitive information is protected and compliance with relevant regulations is maintained.

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Designation: QA Automation Engineer Location: Pune Work Type: Full Time Experience Required: 6 8 Years About the Role At Cognologix, we empower clients to deploy cloud-native applications confidently through robust and intelligent test automation. As a QA Automation Engineer, you will design and implement automation frameworks for integration, end-to-end, and generative testing, ensuring performance, reliability, and quality across deployments. Key Responsibilities Collaborate with developers and architects to design and develop test automation scripts. Create reusable, modular, and multi-thread-safe automation code. Improve non-functional automation performance by parallelizing test executions. Conduct test planning, defect lifecycle management, traceability matrix mapping, and security/breaking testing. Validate GenAI features such as prompt/response behavior, hallucination checks, and content moderation. Use GenAI tools (e.g., Copilot, Codium) to refactor, document, and enhance automation frameworks. Required Skills Solid experience testing microservice-oriented and cloud-native applications. Proficiency with tools such as HTTP, Curl, Postman, Fiddler, Swagger. Strong programming skills in Java, Python, or C#. Working knowledge of Linux systems and shell scripting. Expertise in test automation frameworks (e.g., JUnit, TestNG). Hands-on experience with UI testing using Selenium or similar tools. Exposure to CI/CD tools like Jenkins, GitLab CI. Ability to test AI-driven features and integrate AI tools into test processes. Preferred Skills (Good to Have) Experience with GenAI-enabled testing tools or platforms. Familiarity with fairness, bias, and explainability issues in GenAI testing. Big Data migration validation and reporting experience. Performance testing (load, stress, spike) using JMeter or Gatling. Experience in Security, Resilience, or Disaster Recovery Testing. Strong ability to validate GenAI outputs in automation pipelines. Higher degree of autonomy, startup culture & small agile teams. Remote work flexibility based on maturity and performance. Exposure to emerging technologies and GenAI tools. Competitive salary & comprehensive family benefits. Performance-based career growth. About Cognologix Cognologix helps companies disrupt and innovate by reimagining business models through cutting-edge technology. We re a data- and automation-driven organization at the forefront of digital transformation, empowering clients to confidently deliver their next-generation products.

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Job Title: Software Engineer AI/ML Location: Pune Qualification: B.E./B.Tech/M.E./M.Tech Experience: 2 4 Years Reporting To: Lead Software Engineer / Project Manager Role Overview: We are seeking a passionate and skilled AI/ML Software Engineer to join our growing team. The ideal candidate will be responsible for designing and developing intelligent systems using cutting-edge Machine Learning and Artificial Intelligence techniques. You will play a key role in building data-driven solutions that automate decision-making and improve business outcomes. Key Responsibilities: Study, analyze, and transform data science prototypes into functional ML solutions. Design and build AI and Machine Learning systems to automate predictive models. Research, implement, and optimize ML algorithms and tools based on project needs. Select appropriate datasets and design suitable data representation techniques. Develop, test, and fine-tune ML models through rigorous experimentation and statistical analysis. Train, retrain, and update ML systems as required. Extend or customize existing ML libraries and frameworks. Stay updated with the latest trends and advancements in AI/ML technologies. Required Skills & Abilities: 2 4 years of hands-on experience in AI/ML development. Solid understanding of Data Structures, Algorithms, and strong mathematical aptitude. Strong programming skills in Python, with working knowledge of scikit-learn, pandas, and other core ML libraries. In-depth knowledge of AI/ML algorithms, model evaluation techniques, and performance metrics. Experience with Deep Learning frameworks like TensorFlow, Keras, or PyTorch is a plus. Exposure to MLOps tools for model deployment and monitoring is preferable. Good communication skills and ability to manage interactions with clients and cross-functional teams. Strong problem-solving attitude and a willingness to learn continuously. Qualification : B.E./B.Tech/M.E./M.Tech/MCA

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Job Title: Associate Solution Engineer Location: Pune, Maharashtra, India Travel: Occasional business travel may be required About BMC At BMC, trust is more than a value it s how we operate. We re an award-winning, inclusive, and vibrant workplace where diverse perspectives fuel innovation and growth. We believe in balancing life and work, celebrating wins (big and small), and giving back to the communities we serve. Your voice matters here, and your individuality is celebrated. We help our customers become Autonomous Digital Enterprises by enabling them to scale, innovate, and lead in the digital era. The Opportunity Join BMC Helix s Digital Solution Engineering team as an Associate Solution Engineer a role designed for emerging tech professionals who want to build a career at the intersection of technology, customer impact, and business value. Whether you're a recent graduate or have 1 3 years of experience, this is your opportunity to dive deep into enterprise platforms, AI innovation, and next-gen service management. About BMC Helix BMC Helix is our cutting-edge, AI-powered platform for IT Service and Operations Management (ITSM, ITOM, AIOps). With a containerized, microservices-based architecture, it supports flexible deployment across cloud, hybrid, and on-prem environments. BMC Helix empowers enterprises to go from reactive support to predictive, autonomous operations using advanced capabilities like Agentic AI and cross-domain automation. What You ll Do Work with global solution engineering and sales teams to support customer engagements and design compelling, tailored solutions. Participate in discovery sessions to understand client requirements and business objectives. Deliver engaging, value-driven demos that highlight BMC Helix s strengths like intelligent automation, Agentic AI, and seamless integrations. Assist in designing proof-of-value solutions, configurations, and presentations. Translate complex technical concepts like microservices, APIs, and hybrid deployments into clear, customer-centric value propositions. Collaborate with internal teams (Product, Strategy, Sales) to ensure alignment with customer needs and market trends. Stay current on emerging trends in GenAI, LLMs, ITSM, ITOM, and enterprise digital transformation. What You Bring Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field. 0 3 years of experience in a technical, consulting, or customer-facing role. Excellent communication and presentation skills; able to engage both technical and business stakeholders. Interest or hands-on exposure to Generative AI and Large Language Models (LLMs). Foundational knowledge of cloud platforms (AWS, Azure, GCP), microservices, containers (Docker, Kubernetes). Curiosity for technology and enterprise IT challenges; proactive and eager to learn. Exposure to platforms like BMC Helix, ServiceNow, Jira Service Management, or similar is a plus. Basic scripting or API understanding (Python, JavaScript, REST APIs). Familiarity with ITIL, DevOps, or service management concepts. Fluent in English; multilingual proficiency (e.g., Spanish, French, German, Italian) is a bonus. Work with industry-leading platforms and AI technologies Be part of a collaborative, global team shaping the future of digital operations Learn from experienced mentors and participate in enablement programs Thrive in a culture that values your authenticity, creativity, and growth No problem. If you're passionate about this opportunity and BMC s mission, we still encourage you to apply. We value potential just as much as experience. BMC is proud to be an equal opportunity employer. Qualification : Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.

Generative AI Engineer Location: Pune (Work from Office) Experience: Minimum 2 Years Notice Period: Immediate to 15 Days Preferred Job Overview: We are seeking a highly skilled and innovative Generative AI Engineer to join our dynamic team in Pune. This role requires hands-on expertise in developing, fine-tuning, and deploying advanced AI/ML models, particularly in the domain of Generative AI. If you're passionate about pushing the boundaries of AI technologies and building production-ready solutions, we d love to hear from you. Key Responsibilities: Design, develop, and deploy Generative AI models and real-world AI-driven applications. Work extensively on prompt engineering, model fine-tuning, and optimization for performance and scalability. Collaborate with cross-functional teams including product managers, researchers, and engineers to integrate AI capabilities into business solutions. Stay current with the latest research and advancements in Generative AI, including transformer models, diffusion models, and LLMs. Build tools, scripts, and frameworks to streamline AI workflows including training, evaluation, and deployment. Optimize inference pipelines and manage cloud-based AI services and APIs. Required Skills & Qualifications: 2+ years of experience in AI/ML with at least 1 year of hands-on work in Generative AI. Strong foundation in NLP, deep learning, and transformer architectures (e.g., GPT, BERT, LLaMA). Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Experience integrating with LLM APIs, vector databases, or cloud-hosted AI models (e.g., OpenAI, Hugging Face, Google Vertex AI). Solid understanding of machine learning pipelines, MLOps, and versioning tools. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with LangChain, Retrieval-Augmented Generation (RAG), or vector databases like Pinecone, Weaviate, or FAISS. Prior contributions to open-source AI projects, GitHub portfolios, or published research papers. Familiarity with Stable Diffusion, image generation models, or multi-modal AI. Work with cutting-edge AI technologies and enterprise-scale use cases. Opportunity to drive innovation in one of the fastest-growing AI domains. Collaborative and inclusive workplace focused on learning and growth. If you re ready to bring Generative AI to life in real-world applications, apply now and be part of our AI innovation journey.

Lead Developer Generative AI Location: Pune Company: HeapTrace Technology Job Type: Full-Time About HeapTrace Technology At HeapTrace Technology, we are pioneers in innovation, delivering transformative IT solutions across industries. Our expertise spans software development, AI integration, cloud services, and more. We empower businesses to leverage technology for accelerated growth and lasting success. Join us to be part of a dynamic team pushing the frontiers of AI. Job Description We are seeking an experienced Lead Developer specializing in Generative AI to lead the design, development, and deployment of cutting-edge AI models and applications. You will collaborate with cross-functional teams to embed generative AI into our products and services, driving innovation and business value. Responsibilities Lead Generative AI Development: Design and implement advanced generative models such as GPT, GANs, and VAEs for content generation, data augmentation, and other applications. Project Leadership: Manage AI projects from ideation through deployment, ensuring alignment with business goals and timely delivery. Cross-Functional Collaboration: Partner with product managers, designers, and developers to integrate AI functionalities seamlessly into solutions. Research & Innovation: Keep abreast of the latest AI advancements and integrate relevant innovations into projects. Mentorship: Guide junior developers and data scientists, fostering a culture of collaboration and innovation. Deployment & Scaling: Optimize AI models for performance and scalability in production environments. Ethical AI: Ensure responsible AI practices, addressing ethical implications and regulatory compliance. Requirements Education: Bachelor s or Master s in Computer Science, AI, Machine Learning, or related field. Experience: Minimum 5 years in AI/ML development with 2+ years focused on generative models. Technical Skills: Proficiency in Python and frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of machine learning algorithms and deep learning architectures. Experience with NLP models (e.g., GPT, BERT) and generative models such as GANs and VAEs. Leadership: Proven track record of leading AI projects and teams. Problem-Solving: Ability to translate business needs into technical solutions. Communication: Excellent verbal and written skills, capable of explaining complex AI concepts to non-technical audiences. Ethics: Awareness of AI ethical considerations including bias mitigation and data privacy. Nice to Have Experience deploying AI models on cloud platforms like AWS, Azure, or Google Cloud. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Knowledge of data engineering and working with large datasets. Publications or active contributions to the AI research community. Competitive Salary: Attractive compensation aligned with your experience. Flexible Work Environment: Remote work options and flexible schedules. Professional Growth: Access to learning opportunities, conferences, and skill development. Innovative Projects: Work on impactful AI initiatives that push technology boundaries. Collaborative Culture: Join a diverse, creative, and supportive team environment. Qualification : Bachelors or Masters in Computer Science, AI, Machine Learning, or related field.

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Salesforce Developer Pune (Kalyani Nagar) Location: Pune Kalyani Nagar (Hybrid: 4 Days/Week) Experience: 4+ Years Start Date: Immediate Salary: Best in Industry Employment Type: Full-Time Education: Bachelor s Degree (Preferred in Computer Science or IT) About the Role: We are looking for an experienced and passionate Salesforce Developer to join our growing team in Pune. This role involves working on Salesforce Sales Cloud, Lightning Web Components (LWC), Apex, and a wide range of Salesforce CRM customization and integration projects. You will be responsible for delivering high-quality, scalable Salesforce solutions that meet business objectives. Key Responsibilities: Design, develop, and deploy custom Salesforce solutions using Apex, Visualforce, Lightning Web Components, and Salesforce APIs. Create and maintain technical design documents based on business requirements. Collaborate with cross-functional teams including architecture, platform engineering, implementation partners, and third-party vendors. Follow Salesforce development best practices for integration, code quality, and scalability. Ensure on-time delivery of tasks with high quality and adherence to coding standards. Develop and manage custom applications, workflows, triggers, flows, and process builders within Salesforce. Identify and recommend solutions to enhance business processes using Salesforce tools. Lead and support release management processes, including change management and code deployment. Continuously research new Salesforce features and capabilities to improve productivity. Required Skills & Qualifications: Minimum 4 years of hands-on experience as a Salesforce Developer. Strong knowledge of Salesforce architecture, APIs, and data models. Expertise in Apex classes, triggers, batch jobs, queueable Apex, and asynchronous processes. Proficiency in Visualforce, Lightning Components, and Lightning Web Components (LWC). Experience with Sales Cloud, Service Cloud, and Community Cloud. Familiarity with Salesforce data tools like Apex Data Loader and third-party integrations. Demonstrated experience in integrating Salesforce with external systems (real-time, batch, sync/async). Solid understanding of relational databases and enterprise integration patterns. Excellent communication skills and ability to interact effectively with both business users and technical teams. Strong analytical and problem-solving skills with keen attention to detail. Preferred Certifications: Salesforce Platform Developer I (PD1) Salesforce Platform Developer II (PD2) Salesforce Sales Cloud Consultant Join a fast-growing tech company with exciting Salesforce projects. Hybrid work environment in Pune (Kalyani Nagar). Work on cutting-edge Salesforce technologies and enterprise-level integrations. Opportunity to grow professionally in a collaborative and supportive environment. Apply Now to take your Salesforce career to the next level with us. Qualification : Bachelors Degree

Job Title: Machine Learning Engineer Location: Pune Employment Type: Full-Time About the Role: We are seeking a Machine Learning Engineer with 1-3 years of hands-on experience to join our team. The ideal candidate will have proficiency in Python programming and a solid understanding of machine learning frameworks. You will work on building and deploying cutting-edge machine learning models and solutions, with a particular focus on computer vision and ML-Ops. Key Responsibilities: Develop Machine Learning Models: Build, train, and deploy machine learning models for various business applications. Computer Vision Solutions: Focus on building and deploying computer vision solutions at scale, leveraging frameworks like TensorFlow and OpenCV. Collaborate with Teams: Work with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into products. Code Quality & Documentation: Write clean, maintainable, and readable code. Document your code and solutions for ease of understanding and future reference. Work with Data Pipelines: Understand and implement data pipelines for training machine learning models, ensuring data is pre-processed and transformed correctly. Version Control & Best Practices: Use Git and follow version control best practices to ensure collaboration and code integrity across the team. Machine Learning Frameworks: Implement machine learning algorithms using frameworks like TensorFlow, Keras, OpenCV, and other relevant libraries. ML-Ops: Familiarity with deploying machine learning models into production environments and managing their lifecycle. Minimum Qualifications: Experience: 1-3 years of experience as a Machine Learning Engineer or Data Scientist. Agile Development: Familiarity with the Agile development lifecycle and collaborative software development practices. Code Readability & Documentation: Ability to write clean, readable code and document your work thoroughly for future use and team collaboration. Third-Party Libraries & APIs: Experience in consuming third-party libraries and APIs to extend the functionality of your machine learning solutions. Version Control: Experience with Git and version control best practices. Data Pipelines: Understanding of data pipelines and how to handle data preprocessing, cleaning, and transformation for machine learning purposes. Core Python: Proficiency in Python programming and popular data science libraries (e.g., NumPy, Pandas, etc.). Machine Learning Frameworks: Knowledge of machine learning frameworks like TensorFlow and OpenCV. Preferred Qualifications: ETL Tools: Experience working with ETL (Extract, Transform, Load) tools and libraries to manage and preprocess data for machine learning. Computer Vision: Hands-on experience with computer vision tasks, especially with MaskRCNN for object detection and segmentation. ML-Ops: Knowledge of ML-Ops practices for deploying, monitoring, and maintaining machine learning models in production environments. Work on cutting-edge machine learning and computer vision projects. Collaborate with a talented, cross-functional team to solve real-world problems. Opportunity to grow your career in a dynamic and innovation-driven environment. Competitive compensation and benefits package. If you're passionate about machine learning, computer vision, and deploying scalable solutions, we'd love to have you on our team!

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and IITB alumni. At Talentica, we help startups build products by utilizing the latest tools and technologies to solve real-world challenges. For over 21 years, we ve worked with over 180 startups, mainly in the US, ensuring many successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India's Great Mid-Size Workplaces. What We re Looking For: We are seeking a Python + AI Developer passionate about building innovative AI solutions. If you have strong hands-on Python skills, experience developing cross-platform software, and an interest in AI, cloud platforms, and security, you could be the perfect fit for our team! What You ll Be Doing: AI Platform Development: Develop and maintain the cutting-edge platform that powers the next-generation AI Agent stack. Innovation: Contribute to the AI Agent stack by utilizing open-source technologies like LangChain. Customer Focus: Drive outcomes from customer needs to production, ensuring that the value is delivered efficiently. Security: Keep the platform secure by addressing vulnerabilities through tools such as GitHub security scanner, Black Duck, and virus scanners. Code Quality: Participate in code reviews, testing, and debugging to ensure reliable and efficient products. To Be Successful in This Role, You Should Have: Qualification: BE/BTech in any branch from top institutes like IIT, NIT, BITS, VJTI, COEP, or similar. Experience: 5-7 years of relevant experience in Python development with AI exposure. Technical Skills: Proven experience in cross-platform software development. Hands-on expertise in Python. Understanding of software deployment and distribution systems (e.g., npm, Homebrew, Chocolatey, CI/CD systems, PyPI, Conda). Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong knowledge of software security practices and tools. Good-to-Have Skills: Experience building AI agents. Familiarity with React and TypeScript. Knowledge of security, governance, and enterprise compliance. Familiarity with developing for Windows platforms. Passion for creating a great developer experience and thorough documentation. Soft Skills: Strong problem-solving skills in fast-paced, results-oriented environments. Effective communication and the ability to work well in a distributed team. Passion for continuous learning and staying up-to-date with industry trends. What You ll Find Here: Culture of Innovation: We focus on creating groundbreaking solutions for our customers. At Talentica, innovation is at the core of everything we do. Endless Learning Opportunities: Grow your skillset by applying the latest advancements in your field to build better, faster, and simpler products. Talented Peers: Work alongside some of the best engineers from India s top institutes, including IITs, NITs, and select other prestigious colleges. Flexibility: We offer flexible work schedules and remote work options to support a healthy work-life balance. Great Culture: 82% of our employees recommend us to their friends, according to Glassdoor. At Talentica, you re not just following trends; you re helping shape them. If you're looking for a dynamic environment where you can innovate, grow, and make a tangible impact, Talentica is the place for you. Join us in building the future of technology! Qualification : BE/BTech in any branch from top institutes like IIT, NIT, BITS, VJTI, COEP, or similar.

About MSCI MSCI is a leading global provider of decision support tools and services to the investment community. With over 50 years of expertise in research, data, and technology, we empower clients to make better investment decisions by providing key insights into risk, return, and portfolio optimization. We are proud of our innovative culture, and the talented professionals who work with us to deliver industry-leading solutions. Job Description We are seeking a Senior Java Developer to join our AUM Calculation Engine development team in Pune. As a key member of our team, you will work on a bespoke system that calculates billable fees for Asset Managers using MSCI Index Products. The system processes complex fee models, contractual terms, and valuations for funds, enabling our clients to derive accurate billable fees, manage reporting, and streamline accounting processes. Your Team Responsibilities Design and Develop: Lead the design, development, and maintenance of complex Java-based applications that are integral to the AUM Calculation Engine. Cross-functional Collaboration: Work closely with business teams, architects, and developers to define, design, and implement new features and enhancements. Technical Leadership: Provide guidance to junior engineers, conducting code reviews to ensure best practices and maintain high standards of code quality. Software Development Lifecycle: Participate fully in the software lifecycle, from gathering requirements to design, implementation, testing, and deployment. Quality Assurance: Develop automated tests and ensure the robustness, scalability, and security of the application. Problem Solving: Troubleshoot production issues, conduct root cause analysis, and implement fixes or workarounds. Mentorship: Coach and mentor team members on technical skills, coding practices, and software engineering principles. Agile Practices: Actively participate in agile methodologies, including sprint planning, stand-ups, retrospectives, and demos. Skills and Experience That Will Help You Excel 1. Strong Java Expertise: 8+ years of hands-on experience in Java development with a strong foundation in object-oriented programming, design patterns, and problem-solving. 2. Backend Development & Microservices: Extensive experience in backend development, particularly in Cloud and microservices architecture. Proficiency in developing RESTful APIs, integrating with relational databases (preferably SQL Server), and understanding database schema design. 3. Technical Leadership: Proven ability to provide technical leadership, conduct code reviews, and ensure adherence to best practices in software engineering. 4. Agile & Best Practices: Strong understanding and experience of Agile methodologies, including Scrum, and familiarity with source code management systems (especially Git). Commitment to producing clean code and following industry standards for best practices. 5. Problem-Solving & Debugging: Strong debugging and problem-solving skills to address complex technical challenges in a production environment. 6. Education: A Bachelor s degree in Computer Science, Mathematics, Engineering, or a related field, or equivalent experience. What We Offer Compensation & Benefits: Competitive salary with transparent compensation schemes and comprehensive employee benefits. Work Flexibility: Flexible working arrangements, advanced technology, and collaborative workspaces. Professional Development: Access to Learning@MSCI, LinkedIn Learning Pro, and tailored learning opportunities for continued growth. Career Mobility: Opportunities for internal mobility, expanded roles, and new challenges within MSCI. Inclusive Culture: A diverse and inclusive environment, supported by various Employee Resource Groups such as Women in Tech, Pride & Allies, and Climate Action Network. Global Network: Work alongside talented colleagues across the globe and make an impact on the global investment community. Equal Opportunity MSCI is committed to diversity and equal employment opportunity. We foster an inclusive environment free from discrimination or harassment based on race, color, religion, gender, gender identity, sexual orientation, disability, veteran status, or any other characteristic protected by law. MSCI also provides reasonable accommodations for individuals with disabilities throughout the application process.

Company Overview: BMC Software is an award-winning, equal opportunity employer that fosters a diverse and culturally rich work environment. The company is committed to giving back to the community, and innovation is at the heart of everything we do. We create an atmosphere where your contributions are celebrated, and your ideas are heard. Our SaaS Ops department focuses on delivering exceptional SaaS experiences to our customers by utilizing cutting-edge technologies. We continuously strive to grow by adopting the latest innovations, and we offer a global, versatile environment where professionals can thrive. Role Overview: As a DevOps Engineer, you will join our dynamic SaaS Ops team to design, develop, and implement complex enterprise applications using the latest technologies. You will play a key role in driving the adoption of DevOps processes and tools across the organization. This position offers exciting opportunities to work with industry-leading tools and practices, contributing to the growth and success of both BMC and your own professional development. Responsibilities: End-to-End Product Development: Participate in all aspects of SaaS product development, from requirements analysis to product release and ongoing sustenance. Ensure the delivery of high-quality enterprise SaaS solutions within the specified schedule. DevOps Process Adoption: Drive the adoption of DevOps processes and tools throughout the organization. Develop and maintain Continuous Delivery Pipelines to optimize the deployment process. Technology Integration: Learn and implement cutting-edge technologies to build enterprise SaaS solutions at scale. Work with cloud technologies, containerized environments, and automation tools to enhance application performance and reliability. Collaboration: Collaborate with cross-functional teams, including R&D, Operations, Support, and others, to ensure seamless integration of DevOps practices into the workflow. Documentation & Troubleshooting: Design and document Standard Operating Procedures (SOPs), architecture artifacts, and design documents. Use troubleshooting skills to address issues across different platforms, ensuring minimal downtime and optimal performance. Required Skills & Qualifications: Experience: 3+ years in a software engineering function, preferably with experience in DevOps, SaaS, and automation. Technical Expertise: Strong experience with CI/CD pipelines, containerized deployments, and maintaining production environments. Proficiency in automation scripting languages such as Python, Groovy, Ansible, or Shell scripting. Hands-on experience with Jenkins, Docker, Helm, Git, Terraform, and Jira. Knowledge of Web service protocols (REST, JSON) and experience working with Relational Databases (e.g., PostgreSQL, MS SQL). Containerization & Cloud Technologies: Familiarity with Kubernetes (PODs, persistent storage, ingress, routes) and cloud deployment models (public, private, hybrid). Exposure to ElasticSearch, Grafana, Prometheus, and other monitoring tools. Site Reliability Engineering (SRE): Understanding of SRE principles and their implementation for SaaS services to ensure scalability, performance, and reliability. Operating Systems: Proficient working on Windows and Linux platforms. Agile Methodology: Experience working in an Agile environment with cross-functional teams. Soft Skills: Excellent troubleshooting, communication, and collaboration skills. Hardworking, dedicated, and capable of handling time-sensitive deadlines. Education: Bachelor s degree in IT or a related field, or equivalent professional experience. Bonus Skills (Nice-to-Have): Familiarity with BMC Helix products (ITSM, Digital Workplace, Helix Platform) is an advantage. Previous experience in Site Reliability Engineering (SRE) for SaaS products will be a plus. Work Schedule & Benefits: This position may require occasional weekend work during scheduled production activities and after-hours work as needed. As part of BMC's commitment to equal opportunity, employees benefit from a supportive and inclusive culture, with opportunities for professional growth. Compensation & Rewards: The midpoint of the salary band for this role is 1,638,100 INR. Actual salary will depend on factors such as skills, experience, certifications, and other business needs. BMC offers a comprehensive compensation package, including a variable pay plan and country-specific benefits. Why Join BMC? BMC is a company that thrives on innovation, collaboration, and a commitment to creating a work environment that allows you to bring your best self to work every day. If you re looking for a place where you can make an impact, work with cutting-edge technology, and grow alongside talented professionals, this is the place for you. Be yourself at BMC, and help us shape the future of SaaS! Qualification : Bachelors degree in IT or a related field, or equivalent professional experience.

If you re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Lead Consultant Specialist In this role you will: Hands on technical leader expected to drive forward data strategy and AI/ML strategy for WPB Channels. The role will provide hands-on engineering leadership supported by proven experience in expert development, agile delivery and applying the latest technology solutions and architectures from the wider technology community to deliver change with maximum impact. Hands on knowledge on Bigdata (Hadoop), MongoDB, Spark and relational DBs. Also proven hands on expertise on building AI/ML models. Beginner level working knowledge on Gen AI tools/ LLM Models Define and implement the engineering and development strategy. Branching, versioning, deployment, demise, test Continuous improvement of engineering processes, tooling, and engineering practices Ensure that all software and applications meet the highest standards of quality, scalability, and security. Creating prototype of innovative solutions as proof of concept & proof of value and enable for the industrialization. Strong analytical and problem-solving abilities to address complex technical challenges effectively. Identify opportunities for system optimization, performance tuning, and scalability enhancements. Implement solutions to improve system efficiency and reliability. Excellent verbal and written communication skills to articulate technical concepts to both technical and non-technical stakeholders. Ability to mentor and coach junior engineers, helping them grow their skills and contribute effectively to the team. Proven leadership skills with the ability to guide and inspire multiple teams, fostering a positive and productive work environment. Collaborate with key stakeholders to define the technology strategy that aligns with the business goals of the bank. Effectively communicate technical concepts clearly and effectively to a variety of audiences, including other engineers, technicians, and non-technical personnel. Ensure that the technology team is up to date with the latest technologies and tools and implement them where appropriate. Conduct regular code reviews to ensure code quality, consistency, and adherence to coding standards. Provide constructive feedback and mentorship to team members. Strong commercial awareness looking for ways to drive down RTB costs through automation, less TOIL and efficient use of Infrastructure. Ensure HSBC technologies are standardized an aligned to customer needs. Responsible for enhancing engineering efficiencies, productive, high quality service continuity and establishing high resilience. Evaluating the vendor or 3rd party product and services from functional and non-functional perspective Involve in evaluating the build vs buy strategy based on the need of the organization in collaboration with the product owner and architecture. Support the culture of collaboration, innovation, and inclusiveness. A passion for innovation, driving the adoption of new technologies and methodologies to improve development/deployment processes and product offerings. Demonstrated ability to make critical technical decisions and trade-offs while considering project constraints and business objectives. Collaborate with security teams to ensure adherence to industry-standard security practices, data protection regulations, and compliance requirements Requirements To be successful in this role you should meet the following requirements: Build and maintain the broad and diverse set of skills required to run the Engineering team. Provide strategic direction, leadership, support, guidance and management for the team. Strategic engagement with key 3rd parties and vendors to ensure a strong partnership is established for the strategic benefit of the Bank. Establish a robust communication and support mechanism across department, Technology and Business teams Ensure the necessary resources are sourced to support demand. Ensure there is a strong employee development framework in place including. succession planning, diversity balance, nurturing, coaching, skills development, and career progression Deep understanding of software engineering principles, design patterns and architectures. Strong DevOps skills to facilitate test, release and deployment automation with the aim to reduce risk in production deployments and increasing the release cadence. Proficiency in relevant programming languages, frameworks and tools used within the organization for DevOps. Ensuring solutions are aligned to long term technology strategy and business goals. Provide technical guidance in solving complex engineering challenges. Lead trouble shooting efforts for critical issues ensuring timely and effective resolutions.

Leader of IT Operations Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize their infrastructure through Infrastructure Monetization. Headquartered in Denver with a global presence across 10+ countries, we focus on delivering measurable sustainability and operational impact. Position Summary Redaptive is seeking an exceptional Leader of IT Operations to join our technology leadership team. This executive role oversees ITSM, agile delivery, and ITIL implementation. The ideal candidate will have deep expertise in multi-national team leadership and the ability to translate strategic direction into operational results. Key Responsibilities IT Operations & ITSM Own all IT operations and service delivery, ensuring stability, security, and alignment with business priorities. Implement comprehensive ITIL practices including change, configuration, release, and incident management. Lead IT delivery teams in Pune using Agile delivery frameworks. Manage the vendor ecosystem, ensuring performance accountability and SLA adherence. Enterprise Systems & Automation Oversee administration of enterprise systems: Salesforce (CRM), NetSuite (ERP), and HubSpot. Drive system adoption through training, playbooks, and enablement programs. Collaborate with business operations to implement automation projects. Cybersecurity & Compliance Implement and monitor cybersecurity controls and incident response protocols. Ensure adherence to regulatory compliance and data protection requirements. Required Skills & Experience 12+ years of progressive IT leadership experience with multi-national teams. Deep expertise in ITIL v4 methodologies and Agile delivery. Strong experience with Salesforce, NetSuite, and HubSpot. Proven ability to translate corporate strategy into operational execution. ITIL Certification (Foundation minimum, Expert/Master preferred). Perks & Benefits Financial: Competitive pay, performance bonuses, and equity participation. Wellbeing: Comprehensive health insurance, wellness apps, and Employee Assistance Program. Flexibility: Hybrid work model, generous PTO, and family-first policies. Growth: Access to continuous learning programs and certifications.